Quantifying the impact of homophily and influencer networks on song popularity prediction

Forecasting the popularity of new songs has become a standard practice in the music industry and provides a comparative advantage for those that do it well. Considerable efforts were put into machine learning prediction models for that purpose. It is known that in these models, relevant predictive parameters include intrinsic lyrical and acoustic characteristics, extrinsic factors (e.g., publisher influence and support), and the previous popularity of the artists. Much less attention was given to the social components of the spreading of song popularity. Recently, evidence for musical homophily-the tendency that people who are socially linked also share musical tastes-was reported. Here we determine how musical homophily can be used to predict song popularity. The study is based on an extensive dataset from the last.fm online music platform from which we can extract social links between listeners and their listening patterns. To quantify the importance of networks in the spreading of songs that eventually determines their popularity, we use musical homophily to design a predictive influence parameter and show that its inclusion in state-of-the-art machine learning models enhances predictions of song popularity. The influence parameter improves the prediction precision (TP/(TP + FP)) by about 50% from 0.14 to 0.21, indicating that the social component in the spreading of music plays at least as significant a role as the artist's popularity or the impact of the genre.

Using narratives to correct politically charged health misinformation and address affective belief echoes

BACKGROUND

In May 2020, news outlets reported misinformation about the Centers for Disease Control (CDC) related to COVID-19. Correcting misinformation about outbreaks and politics is particularly challenging. Affective belief echoes continue to influence audiences even after successful correction. Narrative and emotional flow scholarship suggest that a narrative corrective with a positive ending could reduce belief echoes. Therefore, this study investigated the efficacy of a narrative corrective with a relief ending for correcting misinformation about the CDC.

METHODS

Between 29 May and 4 June 2020, we tested the effectiveness of a narrative to correct this misinformation. Participants in the United States (N = 469) were enrolled via Qualtrics panels in an online message experiment and randomized to receive a narrative corrective, a didactic corrective or no corrective.

RESULTS

The narrative corrective resulted in lower endorsement of the misinformation compared with the control and the didactic corrective. The narrative corrective had a positive indirect effect on perceived CDC competence and mask wearing intentions for politically moderate and conservative participants via relief.

CONCLUSIONS

Public health institutions, such as the CDC, should consider utilizing narrative messaging with positive emotion endings to correct misinformation. Narratives better address affective belief echoes, particularly for counter-attitudinal audiences.

First public dataset to study 2023 Turkish general election

In the context of Turkiye's most recent parliamentary and presidential elections ("seçim" in Turkish), social media has played an important role in shaping public debate. It is of utmost importance to capture social media trends during the 2023 Turkish elections, since it uncovers a great deal of information of election propaganda, political debates, smear campaigns, and election manipulation by domestic and international actors. We provide a comprehensive dataset for social media researchers to study Turkish elections, develop tools to prevent online manipulation, and gather novel information to inform the public. We are committed to continually improving the data collection and updating it regularly leading up to the election. Using the #Secim2023 dataset, researchers can examine the social and communication networks between political actors, track current trends, and investigate emerging threats to election integrity. Our dataset and analysis code available through Harvard Dataverse and Github, respectively.

Navigating parental attitudes on childhood vaccination in Jordan: a cross-sectional study

This study investigated parental attitudes toward childhood vaccination in Jordan, focusing on acceptance, concerns, and perceptions. A cross-sectional survey conducted from January to February 2024 included 939 parents. Findings indicated that 85.4% (n = 802) of respondents received the COVID-19 vaccine, while only 25% (n = 229) vaccinated their children. Concerns regarding vaccine safety and efficacy were prevalent, with 63.9% (n = 600) expressing worries about side effects and 46.9% (n = 440) trusting immunization programs. Post-pandemic, 34% (n = 319) reported a more negative attitude. Logistic regression showed parents not vaccinating their children against COVID-19 were significantly less likely to exhibit positive attitudes toward childhood vaccination (OR = 0.412, p < 0.001). Older participants were more inclined toward negativity post-pandemic (OR = 1.031, p = 0.007). In conclusion, parental attitudes shifted post-COVID-19, reflecting hesitancy and decreased trust. Addressing concerns and restoring confidence are crucial, especially for children's health. Education through healthcare providers and dispelling social media misinformation are essential. Implementing strategies to enhance post-pandemic vaccine acceptance is imperative for preventing outbreaks of vaccine-preventable diseases.

Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study

BACKGROUND

Previous work suggests that Google searches could be useful in identifying conjunctivitis epidemics. Content-based assessment of social media content may provide additional value in serving as early indicators of conjunctivitis and other systemic infectious diseases.

OBJECTIVE

We investigated whether large language models, specifically GPT-3.5 and GPT-4 (OpenAI), can provide probabilistic assessments of whether social media posts about conjunctivitis could indicate a regional outbreak.

METHODS

A total of 12,194 conjunctivitis-related tweets were obtained using a targeted Boolean search in multiple languages from India, Guam (United States), Martinique (France), the Philippines, American Samoa (United States), Fiji, Costa Rica, Haiti, and the Bahamas, covering the time frame from January 1, 2012, to March 13, 2023. By providing these tweets via prompts to GPT-3.5 and GPT-4, we obtained probabilistic assessments that were validated by 2 human raters. We then calculated Pearson correlations of these time series with tweet volume and the occurrence of known outbreaks in these 9 locations, with time series bootstrap used to compute CIs.

RESULTS

Probabilistic assessments derived from GPT-3.5 showed correlations of 0.60 (95% CI 0.47-0.70) and 0.53 (95% CI 0.40-0.65) with the 2 human raters, with higher results for GPT-4. The weekly averages of GPT-3.5 probabilities showed substantial correlations with weekly tweet volume for 44% (4/9) of the countries, with correlations ranging from 0.10 (95% CI 0.0-0.29) to 0.53 (95% CI 0.39-0.89), with larger correlations for GPT-4. More modest correlations were found for correlation with known epidemics, with substantial correlation only in American Samoa (0.40, 95% CI 0.16-0.81).

CONCLUSIONS

These findings suggest that GPT prompting can efficiently assess the content of social media posts and indicate possible disease outbreaks to a degree of accuracy comparable to that of humans. Furthermore, we found that automated content analysis of tweets is related to tweet volume for conjunctivitis-related posts in some locations and to the occurrence of actual epidemics. Future work may improve the sensitivity and specificity of these methods for disease outbreak detection.

Beliefs in COVID-19 Vaccine Misinformation Among Unvaccinated Black Americans: Prevalence, Socio-Psychological Predictors, and Consequences

Health-related misinformation is a major threat to public health and particularly worrisome for populations experiencing health disparities. This study sets out to examine the prevalence, socio-psychological predictors, and consequences of beliefs in COVID-19 vaccine misinformation among unvaccinated Black Americans. We conducted an online national survey with Black Americans who had not been vaccinated against COVID-19 (N = 800) between February and March 2021. Results showed that beliefs in COVID-19 vaccine misinformation were prevalent among unvaccinated Black Americans with 13-19% of participants agreeing or strongly agreeing with various false claims about COVID-19 vaccines and 35-55% unsure about the veracity of these claims. Conservative ideology, conspiracy thinking mind-set, religiosity, and racial consciousness in health care settings predicted greater beliefs in COVID-19 vaccine misinformation, which were associated with lower vaccine confidence and acceptance. Theoretical and practical implications of the findings are discussed.

AstraZeneca Vaccine Controversies in the Media: Theorizing About the Mediatization of Ignorance in the Context of the COVID-19 Vaccination Campaign

As is the case in other situations of deep uncertainty, the unknowns related to the COVID-19 pandemic have aroused a great deal of attention in the media. Drawing insights both from mediatization theory and ignorance studies, we discuss the coverage of the AstraZeneca vaccine controversies to develop a new concept that we call the mediatization of ignorance. In doing so, we conceptualize the procedure through which unknowns become mediatized as a three-step process that results from a combination of logics from the areas of politics, health, and science/industry. Moreover, we argue that the mediatization of ignorance may have promoted vaccine hesitancy at a moment when vaccination was crucial for addressing the COVID-19 pandemic. We conclude by suggesting the need to explore in further detail the role that ignorance plays not only in the management of the COVID-19 crisis but also in different areas of society.

Evaluating the Quality of Online Patient Information for Prepectoral Breast Reconstruction Using Polyurethane-Coated Breast Implants

Background

An increasing number of patients are using online information regarding medical issues; however, the Internet is not subject to content ratings or filters. Unreliable information found on the web can heavily influence patients to the extent that it can lead to wrong decisions in the choice of treatment. In our daily experience we meet more informed patients and given the increasing use of polyurethane-coated implants in breast reconstruction in Europe, we wondered about the level of information available online. Our study aims to assess the quality of information available online on breast reconstruction with polyurethane-coated implants.

Materials and Methods

Assuming that the most used search engines are Google and Yahoo, we used a search strategy to identify online information regarding prepectoral breast reconstruction with polyurethane-coated implants. The selected websites were divided into 5 groups (practitioners, hospitals, healthcare portals, professional societies, and encyclopedias), and the quality of information was assessed by using an expanded version of the Ensuring Quality Information for Patients (EQIP) tool, which is a checklist applicable to all existing types of information.

Results

Fifty-six websites were selected and were categorized into 5 groups: 17 practitioners, 9 hospitals, 13 healthcare portals, 7 professional societies, 10 encyclopedias. The average score was 17 points (range: 12 - 25). We found 13 reliable websites with a score higher than 20 using the expanded version of the EQIP tool, whereas 43 were deemed unreliable, as they scored lower.

Conclusion

Proper communication between surgeon and patient is crucial in the therapeutic choice, as the available online information presently is scarce and can lead to wrong decisions if not properly verified.

Modelling the creation of friends and foes groups in small real social networks

Although friendship networks have been extensively studied, few models and studies are available to understand the reciprocity of friendship and foes. Here a model is presented to explain the directed friendship and foes network formation observed in experiments of Mexican and Hungarian schools. Within the presented model, each agent has a private opinion and a public one that shares to the group. There are two kinds of interactions between agents. The first kind represent interactions with the neighbors while the other represents the attitude of an agent to the overall public available information. Links between agents evolve as a combination of the public and private information available. Friendship is defined using a fitness function according to the strength of the agent's bonds, clustering coefficient, betweenness centrality and degree. Enmity is defined as very negative links. The model allows us to reproduce the distribution of mentions for friends and foes observed in the experiments, as well as the topology of the directed networks.

SEGCN: a subgraph encoding based graph convolutional network model for social bot detection

Message passing neural networks such as graph convolutional networks (GCN) can jointly consider various types of features for social bot detection. However, the expressive power of GCN is upper-bounded by the 1st-order Weisfeiler-Leman isomorphism test, which limits the detection performance for the social bots. In this paper, we propose a subgraph encoding based GCN model, SEGCN, with stronger expressive power for social bot detection. Each node representation of this model is computed as the encoding of a surrounding induced subgraph rather than encoding of immediate neighbors only. Extensive experimental results on two publicly available datasets, Twibot-20 and Twibot-22, showed that the proposed model improves the accuracy of the state-of-the-art social bot detection models by around 2.4%, 3.1%, respectively.

Analysis of Pharmaceutical Companies' Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public

The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an "infodemic", a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public's response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public's preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.

Interdependent culture and older adults' well-being: Health and psychological happiness in Japanese communities

This review article examined perspectives on the well-being and health of older adults in Japan, a nation renowned for its longevity. We emphasized the impact of social capital and social relationships in local communities, considering both individual and societal factors. The prevailing values in Japanese culture tend to foster a sustained and stable form of interdependent happiness among older adults, suggesting that communal support systems play an important role. This article highlights the value of multi-level datasets, such as the Japan Gerontological Evaluation Study (JAGES) dataset, for understanding the influence of social participation on the health and well-being of older adults. A growing body of evidence underscores the central role of social relationships in the health and well-being of older adults.

Canadians' knowledge of cancer risk factors and belief in cancer myths

BACKGROUND

Many untrue statements about cancer prevention and risks are circulating. The objective of this study was to assess Canadians' awareness of known cancer risk factors and cancer myths (untruths or statements that are not completely true), and to explore how awareness may vary by sociodemographic and cognitive factors.

METHODS

Cancer myths were identified by conducting scans of published, grey literature, and social media. Intuitive-analytic thinking disposition scores included were actively open- and close-minded thinking, as well as preference for intuitive and effortful thinking. A survey was administered online to participants aged 18 years and older through Prolific. Results were summarized descriptively and analyzed using chi-square tests, as well as Spearman rank and Pearson correlations.

RESULTS

Responses from 734 Canadians were received. Participants were better at identifying known cancer risk factors (70% of known risks) compared to cancer myths (49%). Bivariate analyses showed differential awareness of known cancer risk factors (p < 0.05) by population density and income, cancer myths by province, and for both by ethnicity, age, and all thinking disposition scores. Active open-minded thinking and preference for effortful thinking were associated with greater discernment. Tobacco-related risk factors were well-identified (> 90% correctly identified), but recognition of other known risk factors was poor (as low as 23% for low vegetable and fruit intake). Mythical cancer risk factors with high support were consuming additives (61%), feeling stressed (52%), and consuming artificial sweeteners (49%). High uncertainty of causation was observed for glyphosate (66% neither agreed or disagreed). For factors that reduce cancer risk, reasonable awareness was observed for HPV vaccination (60%), but there was a high prevalence in cancer myths, particularly that consuming antioxidants (65%) and organic foods (45%) are protective, and some uncertainty whether drinking red wine (41%), consuming vitamins (32%), and smoking cannabis (30%) reduces cancer risk.

CONCLUSIONS

While Canadians were able to identify tobacco-related cancer risk factors, many myths were believed and numerous risk factors were not recognized. Cancer myths can be harmful in themselves and can detract the public's attention from and action on established risk factors.

Characteristics and associated factors of health information-seeking behaviour among patients with inflammatory bowel disease in the digital era: a scoping review

BACKGROUND

Health Information-Seeking Behaviour (HISB) is necessary for self-management and medical decision-making among patients with inflammatory bowel disease (IBD). With the advancement of information technology, health information needs and seeking are reshaped among patients with IBD. This scoping review aims to gain a comprehensive understanding of HISB of people with IBD in the digital age.

METHODS

This scoping review adhered to Arksey and O'Malley's framework and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews frameworks (PRISMA-ScR). A comprehensive literature search was conducted in PubMed, Embase, Web of Science, PsycINFO, CINAHL, and three Chinese databases from January 1, 2010 to April 10, 2023. Employing both deductive and inductive content analysis, we scrutinized studies using Wilson's model.

RESULTS

In total, 56 articles were selected. Within the information dimension of HISB among patients with IBD, treatment-related information, particularly medication-related information, was identified as the most critical information need. Other information requirements included basic IBD-related information, daily life and self-management, sexual and reproductive health, and other needs. In the sources dimension, of the eight common sources of information, the internet was the most frequently mentioned source of information, while face-to-face communication with healthcare professionals was the preferred source. Associated factors were categorized into six categories: demographic characteristics, psychological aspects, role-related or interpersonal traits, environmental aspects, source-related characteristics, and disease-related factors. Moreover, the results showed five types of HISB among people with IBD, including active searching, ongoing searching, passive attention, passive searching, and avoid seeking. Notably, active searching, especially social information seeking, appeared to be the predominant common type of HISB among people with IBD in the digital era.

CONCLUSION

Information needs and sources for patients with IBD exhibit variability, and their health information-seeking behaviour is influenced by a combination of diverse factors, including resource-related and individual factors. Future research should focus on the longitudinal changes in HISB among patients with IBD. Moreover, efforts should be made to develop information resources that are both convenient and provide credible information services, although the development of such resources requires further investigation and evaluation.

Low credibility URL sharing on Twitter during reporting linking rare blood clots with the Oxford/AstraZeneca COVID-19 vaccine

The COVID-19 pandemic was accompanied by an "infodemic" of misinformation. Misleading narratives around the virus, its origin, and treatments have had serious implications for public health. In March 2021, concerns were raised about links between the Oxford/AstraZeneca (AZ) COVID-19 vaccine and recipients developing blood clots. This paper aims to identify whether this prompted any reaction in the diffusion of low-credibility COVID-19-relate information on Twitter. Twitter's application programming interface was used to collect data containing COVID-19-related keywords between 4th and 25th March 2021, a period centred on the peak of new coverage linking rare blood clots with the AZ vaccine. We analysed and visualised the data using temporal analysis and social network analysis tools. We subsequently analysed the data to determine the most influential users and domains in the propagation of low-credibility information about COVID-19 and the AZ vaccine. This research presents evidence that the peak of news coverage linking rare blood clots with the AZ vaccine correlated with an increased volume and proportion of low-credibility AZ-related content propagated on Twitter. However, no equivalent changes to the volume, propagation, or network structure for the full dataset of COVID-19-related information or misinformation were observed. The research identified RT.com as the most prolific creator of low-credibility COVID-19-related content. It also highlighted the crucial role of self-promotion in the successful propagation of low-credibility content on Twitter. The findings suggest that the simple approach adopted within the research to identify the most popular and influential sources of low-credibility content presents a valuable opportunity for public health authorities and social media platforms to develop bespoke strategies to counter the propagation of misinformation in the aftermath of a breaking news event.

Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review

BACKGROUND

Public health surveillance plays a vital role in informing public health decision-making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in public health priorities. Global efforts focused on COVID-19 monitoring and contact tracing. Existing public health programs were interrupted due to physical distancing measures and reallocation of resources. The onset of the COVID-19 pandemic intersected with advancements in technologies that have the potential to support public health surveillance efforts.

OBJECTIVE

This scoping review aims to explore emergent public health surveillance methods during the early COVID-19 pandemic to characterize the impact of the pandemic on surveillance methods.

METHODS

A scoping search was conducted in multiple databases and by scanning key government and public health organization websites from March 2020 to January 2022. Published papers and gray literature that described the application of new or revised approaches to public health surveillance were included. Papers that discussed the implications of novel public health surveillance approaches from ethical, legal, security, and equity perspectives were also included. The surveillance subject, method, location, and setting were extracted from each paper to identify trends in surveillance practices. Two public health epidemiologists were invited to provide their perspectives as peer reviewers.

RESULTS

Of the 14,238 unique papers, a total of 241 papers describing novel surveillance methods and changes to surveillance methods are included. Eighty papers were review papers and 161 were single studies. Overall, the literature heavily featured papers detailing surveillance of COVID-19 transmission (n=187). Surveillance of other infectious diseases was also described, including other pathogens (n=12). Other public health topics included vaccines (n=9), mental health (n=11), substance use (n=4), healthy nutrition (n=1), maternal and child health (n=3), antimicrobial resistance (n=2), and misinformation (n=6). The literature was dominated by applications of digital surveillance, for example, by using big data through mobility tracking and infodemiology (n=163). Wastewater surveillance was also heavily represented (n=48). Other papers described adaptations to programs or methods that existed prior to the COVID-19 pandemic (n=9). The scoping search also found 109 papers that discuss the ethical, legal, security, and equity implications of emerging surveillance methods. The peer reviewer public health epidemiologists noted that additional changes likely exist, beyond what has been reported and available for evidence syntheses.

CONCLUSIONS

The COVID-19 pandemic accelerated advancements in surveillance and the adoption of new technologies, especially for digital and wastewater surveillance methods. Given the investments in these systems, further applications for public health surveillance are likely. The literature for surveillance methods was dominated by surveillance of infectious diseases, particularly COVID-19. A substantial amount of literature on the ethical, legal, security, and equity implications of these emerging surveillance methods also points to a need for cautious consideration of potential harm.

Rumors in Retweet: Ideological Asymmetry in the Failure to Correct Misinformation

We used supervised machine-learning techniques to examine ideological asymmetries in online rumor transmission. Although liberals were more likely than conservatives to communicate in general about the 2013 Boston Marathon bombings (Study 1, N = 26,422) and 2020 death of the sex trafficker Jeffrey Epstein (Study 2, N = 141,670), conservatives were more likely to share rumors. Rumor-spreading decreased among liberals following official correction, but it increased among conservatives. Marathon rumors were spread twice as often by conservatives pre-correction, and nearly 10 times more often post-correction. Epstein rumors were spread twice as often by conservatives pre-correction, and nearly, eight times more often post-correction. With respect to ideologically congenial rumors, conservatives circulated the rumor that the Clinton family was involved in Epstein's death 18.6 times more often than liberals circulated the rumor that the Trump family was involved. More than 96% of all fake news domains were shared by conservative Twitter users.

Nursing Home Residents' COVID-19 Infections in the United States: A Systematic Review of Personal and Contextual Factors

Background: This mixed methods systemic review synthesizes the evidence about nursing home risks for COVID-19 infections. Methods: Four electronic databases (PubMed, Web of Science, Scopus, and Sage Journals Online) were searched between January 2020 and October 2022. Inclusion criteria were studies reported on nursing home COVID-19 infection risks by geography, demography, type of nursing home, staffing and resident's health, and COVID-19 vaccination status. The Mixed Methods Appraisal Tool (MMAT) was used to assess the levels of evidence for quality, and a narrative synthesis for reporting the findings by theme. Results: Of 579 initial articles, 48 were included in the review. Findings suggest that highly populated counties and urban locations had a higher likelihood of COVID-19 infections. Larger nursing homes with a low percentage of fully vaccinated residents also had increased risks for COVID-19 infections than smaller nursing homes. Residents with advanced age, of racial minority, and those with chronic illnesses were at higher risk for COVID-19 infections. Discussion and implications: Findings suggest that along with known risk factors for COVID-19 infections, geographic and resident demographics are also important preventive care considerations. Access to COVID-19 vaccinations for vulnerable residents should be a priority.

Health-Seeking Behaviour and Its Determinants Following the COVID-19 Pandemic

OBJECTIVE

The purpose of this study was to determine the change in behaviour of individuals towards any health issues they faced after the coronavirus disease 2019 (COVID-19) pandemic and to compare the health-seeking behaviour of people who were infected by the virus and those who were not infected.

METHODS

A cross-sectional study was conducted among 400 participants visiting Shifa International Hospital, Islamabad, Pakistan, and Pakistan Institute of Medical Sciences Hospital, Islamabad, Pakistan. Data was collected through a pilot-tested questionnaire and analyzed using IBM SPSS Statistics for Windows, Version 26.0 (Released 2019; IBM Corp., Armonk, New York, United States).

RESULTS

In 286 participants (71.6%), health-seeking behaviours were significantly altered by the COVID-19 pandemic. Overall, this research showed that COVID-19 was linked to poor health-seeking behaviour.

CONCLUSION

Most of the participants' health-seeking behaviours were significantly altered by the COVID-19 pandemic. A significant change in how people behaved towards any health problem was reported. As a result, public awareness campaigns should focus on delivering more information about COVID-19 to promote their health-seeking behaviour.

The role of social media in public health crises caused by infectious disease: a scoping review

IMPORTANCE

The onset of the COVID-19 global pandemic highlighted the increasing role played by social media in the generation, dissemination and consumption of outbreak-related information.

OBJECTIVE

The objective of the current review is to identify and summarise the role of social media in public health crises caused by infectious disease, using a five-step scoping review protocol.

EVIDENCE REVIEW

Keyword lists for two categories were generated: social media and public health crisis. By combining these keywords, an advanced search of various relevant databases was performed to identify all articles of interest from 2000 to 2021, with an initial retrieval date of 13 December 2021. A total of six medical and health science, psychology, social science and communication databases were searched: PubMed, Web of Science, Scopus, Embase, PsycINFO and CNKI. A three-stage screening process against inclusion and exclusion criteria was conducted.

FINDINGS

A total of 338 studies were identified for data extraction, with the earliest study published in 2010. Thematic analysis of the role of social media revealed three broad themes: surveillance monitoring, risk communication and disease control. Within these themes, 12 subthemes were also identified. Within surveillance monitoring, the subthemes were disease detection and prediction, public attitude and attention, public sentiment and mental health. Within risk communication, the subthemes were health advice, information-seeking behaviour, infodemics/misinformation circulation, seeking help online, online distance education and telehealth. Finally, within disease control, the subthemes were government response, public behaviour change and health education information quality. It was clear that the pace of research in this area has gradually increased over time as social media has evolved, with an explosion in attention following the outbreak of COVID-19.

CONCLUSIONS AND RELEVANCE

Social media has become a hugely powerful force in public health and cannot be ignored or viewed as a minor consideration when developing public health policy. Limitations of the study are discussed, along with implications for government, health authorities and individual users. The pressing need for government and health authorities to formalise evidence-based strategies for communicating via social media is highlighted, as well as issues for individual users in assessing the quality and reliability of information consumed on social media platforms.

Psychological Factors of Vaccination Intent among Healthcare Providers, Parents, and Laypeople

The interrelatedness of social-structural aspects and psychological features with vaccination intention provides the context to explore personal psychological features related to vaccination. Specifically, we focused on general decision making and vaccine-related dispositions, and their contribution to the intention to vaccinate, within post-pandemic circumstances, after the imposed possibility of choosing a vaccine brand. Our study aimed to map the function (promotive, protective, risk, vulnerability) of a set of personal psychological aspects in the intention to vaccinate among people holding different social roles regarding the vaccination. We surveyed three samples of people: healthcare providers (HPs), parents, and laypeople, within the post-pandemic context. Negative vaccine attitudes lower intention to vaccinate in all regression models (all βs ranging from -0.128 to -0.983, all ps < 0.01). The main results indicate that, regardless of the sample/social role, there is a shared attitudinal core for positive vaccination intention. This core consists of [high] trust in large corporations, government, and healthcare systems, as well as perceived consensus on vaccine safety/efficacy and experience of freedom (protective factors), and [low] vaccination conspiracy beliefs, trust in social media, and choice overload (risk and vulnerability factors, respectively). There are no common promotive factors of intention to vaccinate: for parents, perceived consensus on vaccines, and trust in corporations and the healthcare system, play such roles; for HPs, the experience of freedom is obtained as a unique promotive factor. In contrast, for laypeople, no unique promotive factors were found. Our findings provide insights into the function of psychological factors of vaccination intention across different social roles, particularly healthcare providers, parents, and laypeople, and emphasize the need for tailored immunization interventions in the post-pandemic landscape.

Impact of Severe Acute Respiratory Syndrome, Coronavirus Disease 2019, and Social Unrest on Adult Psychiatric Admissions in Hong Kong: A Comparative Population-Based Study

ABSTRACT

In Hong Kong, two infectious disease outbreaks occurred in 2003 (SARS) and 2020 (COVID-19), and a large-scale social unrest happened in 2019. These were stressful societal events that influenced the mental well-being of the public. We aimed to explore the impact of these events on psychiatric admissions in Hong Kong. Socioeconomic and population-based psychiatric hospital admission data were retrieved from the government and Hospital Authority. Negative binomial time-series regression analysis was applied and we found overall significant reductions of psychiatric admissions during both the SARS and COVID-19 periods (-7.4% to -16.8%). Particularly, the admissions for unipolar disorders (-16.2% to -39.7%) and neuroses (-20.9% to -31.9%) were greatly reduced during the infection outbreaks. But an increase of admissions for schizophrenia (12.0%) was seen during the social unrest period. These findings support introducing early and targeted community mental health care strategies to the vulnerable people during the stressful societal events.

Poor regulation, desperation, and misinformation, a countrywide analysis of self-medication and prescription patterns in Ecuador during the COVID-19 pandemic

BACKGROUND

The rapid spread of the SARS-CoV-2 virus during the early phase of the pandemic led to an unprecedented global health crisis. Various factors have influenced self-medication practices among the general population and unsubstantiated prescribing practices among healthcare professionals.

OBJECTIVE

This study aimed to describe trends in the purchase and sale of medicines during the COVID-19 pandemic period (2020-2022) in Ecuador, by comparing them with pre-pandemic periods.

METHODS

In this study, a cross-sectional design was employed to conduct a comprehensive analysis of 28 pharmacological groups, categorized according to the Anatomical Therapeutic Chemical Classification (ATC). Utilizing an integrated drug consumption database, the study examined physician prescribing data, medicine usage, and spending levels in Ecuador during the COVID-19 pandemic. The analysis involved computing absolute differences in monthly resolution, calculating excessive expenditure in comparison to previous yearly averages, and using Defined Daily Dose (DDD) methodology for internationally comparable results. Furthermore, a correlation analysis was performed to investigate potential associations between prescribed and consumed medicines and the number of new cases and deaths.

RESULTS

In Ecuador, the average yearly expenditure among these groups prior to the pandemic (2017-2019) amounted to $150,646,206 USD, whereas during 2020 and 2021, the same groups represented a total expenditure of $228,327,210, reflecting a significant increase. The excess expenditure during this period reached 51.4%, equivalent to $77,681,004 USD. Notably, 13% of this expenditure consisted of Over the Counter (OTC) Medicines. The study also identified a remarkable surge in sales of ivermectin, which increased by 2,057%, and hydroxychloroquine, which increased by 171%, as measured by DDD.

CONCLUSIONS

This study highlights the substantial consumption of medicines by the population in Ecuador during the pandemic. It is concerning that many medications were sold without proven therapeutic indications, indicating that misinformation and desperation may have led to improper prescribing by physicians and patients resorting to ineffective drugs. Moreover, since the sale of these therapeutic drugs requires a prescription, poor regulation, and a lack of control within pharmacies likely contributed to such practices.

Outrage and algorithms: Shifting drug-related stigma in a digital world

Illicit drug dependence is one of the most stigmatised health conditions worldwide and the harmful impacts of stigma for people who use drugs are well documented. The use of stigmatising language about drugs in traditional media is also well documented. The increasing use of digital media platforms has revolutionised the way we communicate, and extended the reach of our messages. However, there are issues specific to the ways in which these platforms operate that have the potential to increase drug-related stigma. This paper outlines the importance of language, narrative, and imagery in reducing this stigma. It discusses the challenges digital media platforms present to achieving this goal, including the use of engagement strategies that trigger fear and increase stigma, the potential for amplifying stigmatising messages by using algorithms, and the potential for dissemination of misinformation. Key strategies to frame conversations about drug use are presented including 1) appeal to values of fairness and equity rather than scaring people; 2) avoid correcting misinformation as it strengthens unhelpful stigmatising frames of drug use; and 3) create a new narrative, focusing on the diversity of experiences of people who use drugs. Internationally we are at a critical juncture with respect to drug policy reform, and efforts to reduce drug-related stigma are central to building support for these reforms. The extensive reach of digital media platforms represents an important opportunity to communicate about illicit drug use. The challenge is to do so in a way that minimises stigma. If we are to achieve change, a narrative that puts values, people, health care and equity at the centre of the conversation is critical.

Exposure to social bots amplifies perceptual biases and regulation propensity

Automated accounts on social media that impersonate real users, often called "social bots," have received a great deal of attention from academia and the public. Here we present experiments designed to investigate public perceptions and policy preferences about social bots, in particular how they are affected by exposure to bots. We find that before exposure, participants have some biases: they tend to overestimate the prevalence of bots and see others as more vulnerable to bot influence than themselves. These biases are amplified after bot exposure. Furthermore, exposure tends to impair judgment of bot-recognition self-efficacy and increase propensity toward stricter bot-regulation policies among participants. Decreased self-efficacy and increased perceptions of bot influence on others are significantly associated with these policy preference changes. We discuss the relationship between perceptions about social bots and growing dissatisfaction with the polluted social media environment.

Conspiracy beliefs explain why intolerance of uncertainty, personal control, and political uncontrollability predict willingness to get vaccinated against COVID-19

Conspiracy theories tend to be disseminated in times when anxiety and uncertainty prevail. Thus, the outbreak of the COVID-19 pandemic was fertile ground for the dissemination of conspiracy theories. The current study examined the role of conspiracy belief in the association between individual differences in perceptions of lack of control and certainty, and willingness to get vaccinated against COVID-19. Participants (N = 323) completed measures of willingness to get vaccinated, belief in COVID-19 vaccines conspiracy, intolerance of uncertainty (IOU), perceived personal control, and political uncontrollability. Results show that conspiracy beliefs mediated the positive association between perceived personal control and willingness to get vaccinated, and the negative association between political uncontrollability and willingness to get vaccinated. Additionally, conspiracy belief had a suppression effect on the association between IOU and willingness to get vaccinated. These findings indicate that uncertainty and sense of lack of control heighten the need for an explanation that offers some degree of clarity, which in turn is related to adoption of conspiracy theories and may consequently have negative effects on health behavior.

Improving Social Bot Detection Through Aid and Training

OBJECTIVE

We test the effects of three aids on individuals' ability to detect social bots among Twitter personas: a bot indicator score, a training video, and a warning.

BACKGROUND

Detecting social bots can prevent online deception. We use a simulated social media task to evaluate three aids.

METHOD

Lay participants judged whether each of 60 Twitter personas was a human or social bot in a simulated online environment, using agreement between three machine learning algorithms to estimate the probability of each persona being a bot. Experiment 1 compared a control group and two intervention groups, one provided a bot indicator score for each tweet; the other provided a warning about social bots. Experiment 2 compared a control group and two intervention groups, one receiving the bot indicator scores and the other a training video, focused on heuristics for identifying social bots.

RESULTS

The bot indicator score intervention improved predictive performance and reduced overconfidence in both experiments. The training video was also effective, although somewhat less so. The warning had no effect. Participants rarely reported willingness to share content for a persona that they labeled as a bot, even when they agreed with it.

CONCLUSIONS

Informative interventions improved social bot detection; warning alone did not.

APPLICATION

We offer an experimental testbed and methodology that can be used to evaluate and refine interventions designed to reduce vulnerability to social bots. We show the value of two interventions that could be applied in many settings.

Breaking (Fake) News: No Personal Relevance Effect on Misinformation Vulnerability

The massive spread of fake news (FN) requires a better understanding of both risks and protective psychological factors underlying vulnerability to misinformation. Prior studies have mostly dealt with news that do not bear any direct personal relevance to participants. Here, we ask whether high-stakes news topics may decrease vulnerability to FN. Data were collected during the national lockdown in Italy (COVID-19 news) and one year later (political news). We compared truth discrimination and overall belief for true news (TN) and FN concerning COVID-19 and political topics. Our findings indicate that psychological risk and protective factors have similar effects on truth discrimination, regardless of whether the news topic is highly or minimally personally relevant. However, we found different effects of psychological factors on overall belief, for high and low personal relevance. These results suggest that, given a high level of cognitive dissonance, individuals tend to rely on proximal or emotional sources of information. In summary, our study underscores the importance of understanding the psychological factors that contribute to vulnerability to misinformation, particularly in high-stakes news contexts.

Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls

The detection of state-sponsored trolls operating in influence campaigns on social media is a critical and unsolved challenge for the research community, which has significant implications beyond the online realm. To address this challenge, we propose a new AI-based solution that identifies troll accounts solely through behavioral cues associated with their sequences of sharing activity, encompassing both their actions and the feedback they receive from others. Our approach does not incorporate any textual content shared and consists of two steps: First, we leverage an LSTM-based classifier to determine whether account sequences belong to a state-sponsored troll or an organic, legitimate user. Second, we employ the classified sequences to calculate a metric named the "Troll Score", quantifying the degree to which an account exhibits troll-like behavior. To assess the effectiveness of our method, we examine its performance in the context of the 2016 Russian interference campaign during the U.S. Presidential election. Our experiments yield compelling results, demonstrating that our approach can identify account sequences with an AUC close to 99% and accurately differentiate between Russian trolls and organic users with an AUC of 91%. Notably, our behavioral-based approach holds a significant advantage in the ever-evolving landscape, where textual and linguistic properties can be easily mimicked by Large Language Models (LLMs): In contrast to existing language-based techniques, it relies on more challenging-to-replicate behavioral cues, ensuring greater resilience in identifying influence campaigns, especially given the potential increase in the usage of LLMs for generating inauthentic content. Finally, we assessed the generalizability of our solution to various entities driving different information operations and found promising results that will guide future research.

Communicating COVID-19 exposure risk with an interactive website counteracts risk misestimation

During the COVID-19 pandemic, individuals depended on risk information to make decisions about everyday behaviors and public policy. Here, we assessed whether an interactive website influenced individuals' risk tolerance to support public health goals. We collected data from 11,169 unique users who engaged with the online COVID-19 Event Risk Tool (https://covid19risk.biosci.gatech.edu/) between 9/22/21 and 1/22/22. The website featured interactive elements, including a dynamic risk map, survey questions, and a risk quiz with accuracy feedback. After learning about the risk of COVID-19 exposure, participants reported being less willing to participate in events that could spread COVID-19, especially for high-risk large events. We also uncovered a bias in risk estimation: Participants tended to overestimate the risk of small events but underestimate the risk of large events. Importantly, even participants who voluntarily sought information about COVID risks tended to misestimate exposure risk, demonstrating the need for intervention. Participants from liberal-leaning counties were more likely to use the website tools and more responsive to feedback about risk misestimation, indicating that political partisanship influences how individuals seek and engage with COVID-19 information. Lastly, we explored temporal dynamics and found that user engagement and risk estimation fluctuated over the course of the Omicron variant outbreak. Overall, we report an effective large-scale method for communicating viral exposure risk; our findings are relevant to broader research on risk communication, epidemiological modeling, and risky decision-making.

How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events

Social media moderation policies are often at the center of public debate, and their implementation and enactment are sometimes surrounded by a veil of mystery. Unsurprisingly, due to limited platform transparency and data access, relatively little research has been devoted to characterizing moderation dynamics, especially in the context of controversial events and the platform activity associated with them. Here, we study the dynamics of account creation and suspension on Twitter during two global political events: Russia's invasion of Ukraine and the 2022 French Presidential election. Leveraging a large-scale dataset of 270M tweets shared by 16M users in multiple languages over several months, we identify peaks of suspicious account creation and suspension, and we characterize behaviors that more frequently lead to account suspension. We show how large numbers of accounts get suspended within days of their creation. Suspended accounts tend to mostly interact with legitimate users, as opposed to other suspicious accounts, making unwarranted and excessive use of reply and mention features, and sharing large amounts of spam and harmful content. While we are only able to speculate about the specific causes leading to a given account suspension, our findings contribute to shedding light on patterns of platform abuse and subsequent moderation during major events.

Examining the association between social media fatigue, cognitive ability, narcissism and misinformation sharing: cross-national evidence from eight countries

Several studies have explored the causes and consequences of public engagement with misinformation and, more recently, COVID-19 misinformation. However, there is still a need to understand the mechanisms that cause misinformation propagation on social media. In addition, evidence from non-Western societies remains rare. This study reports on survey evidence from eight countries to examine whether social media fatigue can influence users to believe misinformation, influencing their sharing intentions. Our insights also build on prior cognitive and personality literature by exploring how this mechanism is conditional upon users' cognitive ability and narcissism traits. The results suggest that social media fatigue can influence false beliefs of misinformation which translates into sharing on social media. We also find that those with high levels of cognitive ability are less likely to believe and share misinformation. However, those with low cognitive ability and high levels of narcissism are most likely to share misinformation on social media due to social media fatigue. This study is one of the first to provide cross-national comparative evidence highlighting the adverse effects of social media fatigue on misinformation propagation and establishing that the relationship is not universal but dependent on both cognitive and dark personality traits of individuals.

COVID-19 Vaccination Hesitancies: A Spanish-Language Focus Group Analysis in Texas

COVID-19 related health disparities are prevalent among higher risk populations like the Hispanic community. Vaccination is one readily available public health tool, yet vaccine uptake is lower among minority populations and hesitations and concerns are high. In the present study, interpersonal and media sources of information about COVID-19 were discussed in a series of six focus groups with Spanish-language dominant and bilingual English-Spanish respondents in a large metropolitan area in Texas. Participants reported using legacy media as a main source of information about COVID-19 vaccines and encountered conspiracy theories and misinformation on social media. Using the Health Belief Model as the theoretical lens, we found individuals' and family members' perceived susceptibility to COVID-19 played a part in participants wanting to find and get the vaccine. Provider recommendations may have served as cues to action. Ease of receiving the vaccines at church and pharmacies may have served to boost participants self-efficacy. Perceived barriers include vaccine specific reasons such as the fast pace of initial authorization, side effects, and long-term effects along with conspiracy theories. Prevailing information gaps regarding the COVID-19 vaccines and the resulting uncertainty are discussed. Understanding information sources and the trust Hispanic communities place in these sources is important in designing effective health messages.

The efficacy of Facebook's vaccine misinformation policies and architecture during the COVID-19 pandemic

Online misinformation promotes distrust in science, undermines public health, and may drive civil unrest. During the coronavirus disease 2019 pandemic, Facebook-the world's largest social media company-began to remove vaccine misinformation as a matter of policy. We evaluated the efficacy of these policies using a comparative interrupted time-series design. We found that Facebook removed some antivaccine content, but we did not observe decreases in overall engagement with antivaccine content. Provaccine content was also removed, and antivaccine content became more misinformative, more politically polarized, and more likely to be seen in users' newsfeeds. We explain these findings as a consequence of Facebook's system architecture, which provides substantial flexibility to motivated users who wish to disseminate misinformation through multiple channels. Facebook's architecture may therefore afford antivaccine content producers several means to circumvent the intent of misinformation removal policies.

Sustainable Smart Cities-Social Media Platforms and Their Role in Community Neighborhood Resilience-A Systematic Review

The COVID-19 pandemic took most communities off guard and has highlighted gaps in community preparedness and resilience in spite of the numerous technological advancements and the variety of available social media platforms that many relied on during lockdown periods. This served to emphasise the necessity for exploring the roles of social media and smart city technologies in mitigating pandemic impacts. In this systematic literature review, we examined twelve articles on social media usage and smart city technologies and their contributions to community resilience during COVID-19. The analysis focused on the use of social media platforms and smart city technologies during and after lockdown periods, examining their role in fostering community resilience. Results indicate that social media and smart city technologies were instrumental in helping communities adapt and recover from the pandemic. While past studies have examined community resilience, social media, or smart cities separately, there is limited literature collating insights on the three elements combined. We therefore argue that these technologies, employed collaboratively, enhance community resilience during crises. Nevertheless, further research is recommended, particularly on urban resilience and comparative analyses to deepen our understanding of the complex interplay between these variables.

High level of correspondence across different news domain quality rating sets

One widely used approach for quantifying misinformation consumption and sharing is to evaluate the quality of the news domains that a user interacts with. However, different media organizations and fact-checkers have produced different sets of news domain quality ratings, raising questions about the reliability of these ratings. In this study, we compared six sets of expert ratings and found that they generally correlated highly with one another. We then created a comprehensive set of domain ratings for use by the research community (github.com/hauselin/domain-quality-ratings), leveraging an ensemble "wisdom of experts" approach. To do so, we performed imputation together with principal component analysis to generate a set of aggregate ratings. The resulting rating set comprises 11,520 domains-the most extensive coverage to date-and correlates well with other rating sets that have more limited coverage. Together, these results suggest that experts generally agree on the relative quality of news domains, and the aggregate ratings that we generate offer a powerful research tool for evaluating the quality of news consumed or shared and the efficacy of misinformation interventions.

Moral foundations are better predictors of belief in COVID-19 conspiracy theories than the Big Five personality traits

Upon the sudden outbreak of COVID-19 pandemic, various conspiracy theories regarding the virus proliferated in the social media. This study focused on the sociodemographic, personality, and moral predictors of these beliefs. More specifically, we asked whether moral values predict belief in COVID-19 conspiracy theories over and above sociodemographic variables and the Big Five personality traits. According to Moral Foundations Theory, five cross-cultural moral foundations are more broadly categorized under individualizing (Care & Fairness) and binding (Loyalty, Authority, & Sanctity) foundations. A sixth moral foundation was Liberty which we included along with binding and individualizing foundations. Participants were 227 Iranians (mean age = 31.43, SD = 12.61, 75.3% female) who responded to Moral Foundations Questionnaire and Liberty items, a range of COVID-19 conspiracy beliefs, and the 10-Item Personality Measure of the Big Five. Among demographic variables, religiosity and socioeconomic status were the strongest determinants of conspiracy beliefs regarding the origin of Coronavirus. Among the Big Five, only extraversion predicted these beliefs in a positive direction. Moral foundations, most notably Authority and Sanctity, showed incremental predictive power over both demographic variables and the Big Five personality traits. Findings are discussed in light of the role of social media in dissemination of conspiracy beliefs regarding the pandemic. They point to the more relevance of moral foundations, particularly binding foundations, than the Big Five in the context of pandemic-related conspiracy beliefs, and add to the literature on the unique contribution of moral foundations to socio-political attitudes across cultures.

A topic models analysis of the news coverage of the Omicron variant in the United Kingdom press

BACKGROUND

The COVID-19 pandemic has caused numerous casualties, overloaded hospitals, reduced the wellbeing of many and had a substantial negative economic impact globally. As the population of the United Kingdom was preparing for recovery, the uncertainty relating to the discovery of the new Omicron variant on November 24 2021 threatened those plans. There was thus an important need for sensemaking, which could be provided, partly, through diffusion of information in the press, which we here examine.

METHOD

We used topic modeling, to extract 50 topics from close to 1,500 UK press articles published during a period of approximately one month from the appearance of Omicron. We performed ANOVAs in order to compare topics between full weeks, starting on week 48 of 2021.

RESULTS

The three topics documenting the new variant (Omicron origins, Virus mutations, News of a new variant) as well as mentions of vaccination excluding booster, Scotlands First minister statement (Communications) travel bans and mask wearing (Restrictions) and the impact of market and investing (Domains and events) decreased through time (all ps < .01). Some topics featured lower representation at week two or three with higher values before and after: Government's Scientific Advisory Group for Emergencies recommendations (Communications), Situation in the US, Situation in Europe (Other countries and regions), all ps < .01. Several topics referring to symptoms and cases-e.g., rises of infections, hospitalisations, the pandemic the holidays, mild symptoms and care; restrictions and measures-e.g., financial help, Christmas and Plan B, restrictions and New Year; and domains of consequences and events-e.g., such as politics, NHS and patients, retail sales and airlines, featured increasing representation, (all ps < .01). Other topics featured less regular or non-significant patterns.

CONCLUSION

Changes in sensemaking in the press closely matched the changes in the official discourse relating to Omicron and reflects the trajectory of the infection and its local consequences.

Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets

BACKGROUND

Developing an understanding of the public discourse on COVID-19 vaccination on social media is important not only for addressing the ongoing COVID-19 pandemic but also for future pathogen outbreaks. There are various research efforts in this domain, although, a need still exists for a comprehensive topic-wise analysis of tweets in favor of and against COVID-19 vaccines.

OBJECTIVE

This study characterizes the discussion points in favor of and against COVID-19 vaccines posted on Twitter during the first year of the pandemic. The aim of this study was primarily to contrast the views expressed by both camps, their respective activity patterns, and their correlation with vaccine-related events. A further aim was to gauge the genuineness of the concerns expressed in antivax tweets.

METHODS

We examined a Twitter data set containing 75 million English tweets discussing the COVID-19 vaccination from March 2020 to March 2021. We trained a stance detection algorithm using natural language processing techniques to classify tweets as antivax or provax and examined the main topics of discourse using topic modeling techniques.

RESULTS

Provax tweets (37 million) far outnumbered antivax tweets (10 million) and focused mostly on vaccine development, whereas antivax tweets covered a wide range of topics, including opposition to vaccine mandate and concerns about safety. Although some antivax tweets included genuine concerns, there was a large amount of falsehood. Both stances discussed many of the same topics from opposite viewpoints. Memes and jokes were among the most retweeted messages. Most tweets from both stances (9,007,481/10,566,679, 85.24% antivax and 24,463,708/37,044,507, 66.03% provax tweets) came from dual-stance users who posted both provax and antivax tweets during the observation period.

CONCLUSIONS

This study is a comprehensive account of COVID-19 vaccine discourse in the English language on Twitter from March 2020 to March 2021. The broad range of discussion points covered almost the entire conversation, and their temporal dynamics revealed a significant correlation with COVID-19 vaccine-related events. We did not find any evidence of polarization and prevalence of antivax discourse over Twitter. However, targeted countering of falsehoods is important because only a small fraction of antivax discourse touched on a genuine issue. Future research should examine the role of memes and humor in driving web-based social media activity.

Perceived risk, emotions, and stress in response to COVID-19: The interplay of media use and partisanship

Relationships between risk perceptions, emotions, and stress are well-documented, as are interconnections between stress, emotion, and media use. During the early COVID-19 pandemic, the public responded psychologically to the threat posed by the pandemic, and frequently utilized media for information and entertainment. However, we lack a comprehensive picture of how perceived risk, emotion, stress, and media affected each other longitudinally during this time. Further, although response to the pandemic was highly politicized, research has yet to address how partisan affiliation moderated relationships between risk, emotion, stress, and media use over time. This three-wave (N = 1021) panel study assessed the interplay of risk, emotion, stress, and media use for Americans with different political affiliations between March and May of 2020. Findings indicate that perceived risk, emotion, and stress at Time 1 predicted media use at Time 2, with predictors varying by type of media. Use of entertainment media and social/mobile media predicted later stress (Time 3), but news consumption did not. Later risk perceptions (Time 3) were not influenced by media use at Time 2. The predictors and consequences of different types of media use were notably different for Republicans and Democrats. In particular, risk perceptions predicted greater news use among Democrats but greater entertainment media use among Republicans. Moreover, social/mobile media use resulted in perceiving the risks of COVID-19 as less serious for Republicans while increasing stress over time for Democrats.

Insights into abusive workplace behavior

Objectives

This paper explores definitions, incidences, and outcomes of workplace abuse - a widespread, worldwide social phenomenon impinging on the well-being of workers in a developing labor market - and possible directions for delineating and standardizing classifications of the phenomenon that facilitate workers' protection. Furthermore, we employ Tepper's Abusive Supervision Survey Questionnaire [ASSQ] to identify managerial abuse in organizations regarding the type of organization (public/private), gender of the perpetrator, gender of the target, and the managerial role, of each of the abuse items. Finally, we suggest directions for further research and practical measures designed to facilitate the diminution of behavioral abuse in the workplace in the foreseeable future.

Hypotheses

No hypotheses are submitted in this exploratory paper.

Methods

Employees of two large organizations (the Katzrin Local Council and Tigbur Ltd.) and another small national organization in Israel were approached, requesting their assistance in this investigation. We introduced the questionnaire, noting its anonymity and the academic context, and that subject participation was voluntary. The questionnaire consisted of fifteen statements on a five-point response scale ranging from 1 = "I cannot remember him/her ever using this behavior with me" to 5 = "He/she uses this behavior very often with me" (alpha = 0.97, M = 1.81, SD = 1.03). One hundred five respondents comprised the final sample: men (39%) and women (61%) aged 23-66. 66.7% of the respondents were employed in a public organization, 28.5% in a private organization, and 4.8% in a national organization. Years of education: less than 12 (14.3%); 12 full years (17.1%); tertiary education (10.5%); bachelor's degree (40%); and master's degree and above (18.1%). While 28.6% held managerial positions, 71.4% did not. Job tenure ranged between 0.5 and 42 years. The participants in national and private organizations were combined to avoid the problem of unbalanced groups. Notably, the gender balance of the managers was men (50.5%) and women (49.5%). To ensure statistical validity, we conducted a factor analysis and performed Pearson correlations to examine the relationships between the general latent variable and the abuse items and their intercorrelations. Additionally, we conducted t-tests for independent samples (with Bonferroni corrections for multiple comparisons: see, for example) to compare (1) the respondent's gender; (2) manager's gender; and (3) the managerial role with each of the abuse items, and (4) the type of organization (private/public); including the general abuse variable.

Results

High, positive, and significant correlations were recorded between each questionnaire item and the total score of abusive behavior. The results ranged from r = 0.92 for the statement, "Puts me down in front of others" (r = 0.92) to r = 0.69 for the statement, "Does not allow me to interact with my co-workers" (r = 0.69). Reported abuse in the respondents' organizations was relatively low (1.81), while among women managers marginally less than their male equivalents (in absolute value, the mean difference in the mean scores fell between 0.28 and 1.25). Abusive behavior in private organizations was more prevalent than in public concerns. Not surprisingly, workers reported more incidents of abuse than managers: in absolute value, the mean difference between employees and managers fell between 0 and 0.67 in the mean scores. Women reported fewer abusive behavior incidents than men; however, the differences found were insignificant.

Conclusion

The reports of abusive behaviors were meager. Explanations include: (1) Any instance of alleged workplace abuse can be interpreted variously by different individuals, a function of subjective perceptions and interpretations of objective data informed by several internal and external factors impinging on workers' wellness at work. (2) The extant "trust gap," which is part of the pervading culture, mitigates against honest reporting of workplace abuse for fear of reprisals. (3) A single report of behavioral abuse at work may be attributable to the same perpetrator repeating the aggression several times. The lower incidence of reported abuse among female managers could be understood in line with studies that indicate that men display aggression more frequently than women playing out their expected respective stereotypical roles in society. Furthermore, following women reflect more stable personality dispositions and are less likely than men to aggress against others without provocation. In line with these observations, women's management style projects "an ethics of care," focusing on interpersonal relations and a greater tendency than male managers toward cooperation, creativity, innovation, and shared decision-making. Because the differences found in all the variables in our investigation investigated were not significant, we cannot conclude that the results indicate a trend. Finally, we assume that appropriate sanctions against perpetrators at the workplace and regulation in public organizations would reduce the incidence of workplace abuse. In a more optimistic vein, we recommend that management and HR personnel initiate positive measures to raise awareness of behavioral abuse and eliminate it from their organizations. They should initiate training workshops, events, and support groups akin to those extant in organizations focused on eliminating racial prejudice and advocating sustainability and wellness in the workplace. Ultimately, the goal is to protect workers' dignity, the integrity of the organizations, and the welfare of society.

Evaluative altmetrics: is there evidence for its application to research evaluation?

Introduction

Altmetrics have been demonstrated as a promising tool for analyzing scientific communication on social media. Nevertheless, its application for research evaluation remains underdeveloped, despite the advancement of research in the study of diverse scientific interactions.

Methods

This paper develops a method for applying altmetrics in the evaluation of researchers, focusing on a case study of the Environment/Ecology ESI field publications by researchers at the University of Granada. We considered Twitter as a mirror of social attention, news outlets as media, and Wikipedia as educational, exploring mentions from these three sources and the associated actors in their respective media, contextualizing them using various metrics.

Results

Our analysis evaluated different dimensions such as the type of audience, local attention, engagement generated around the mention, and the profile of the actor. Our methodology effectively provided dashboards that gave a comprehensive view of the different instances of social attention at the author level.

Discussion

The use of altmetrics for research evaluation presents significant potential, as shown by our case study. While this is a novel method, our results suggest that altmetrics could provide valuable insights into the social attention that researchers garner. This can be an important tool for research evaluation, expanding our understanding beyond traditional metrics.

Exploring Older Adults' Perceived Affordability and Accessibility of the Healthcare System: Empirical Evidence from the Chinese Social Survey 2021

The difficulties in accessibility and affordability of healthcare services have posed persistent challenges to the Chinese government ever since the 1990s. This research aimed to explore the perceived accessibility and affordability of the healthcare system, which is also referred to as the social problem of Kan Bing Nan, Kan Bing Gui among older Chinese adults. The research, based on 2169 sample data points from the Chinese Social Survey (CSS) 2021 database, explored the objective and subjective factors in constructing the public perceptions of accessibility and affordability of the healthcare system among both older adult users and older adult non-users of healthcare services, including healthcare expenditure variables, patient experience variables, financial protection variables, and social evaluation variables. The study utilized binary logistic regression analysis to investigate how four different sets of independent variables impact the perceived affordability and accessibility of the healthcare system by older adults. The research found that Kan Bing Nan, Kan Bing Gui was considered the most pressing issue among the older adults in China. Self-reported medical burdens, the cost of healthcare services, and the perceived fairness of public healthcare services were significantly associated with older adults' perceived affordability and accessibility of the healthcare system.

Following the COVID-19 playbook and battling another infodemic: conspiracy beliefs around human monkeypox among the Lebanese population

INTRODUCTION

The non-endemic multicountry outbreak of monkeypox (MPX) has emphasized the issue of conspiracy theories that go viral in times of societal crisis. Now, it is the turn of MPX to join COVID-19 in the conspiracy theory realm. Social media outlets were flooded by a scourge of misinformation as soon as MPX cases began to appear with an evident cross-pollination between diverse conspiracy theories. Given the adverse consequences of conspiracy beliefs, this study aimed to assess the extent of endorsement of MPX conspiracy beliefs among the Lebanese population and to identify its associated factors.

METHODS

Using a convenience sampling technique, a web-based cross section was conducted among Lebanese adults. Data were collected using an Arabic self-reported questionnaire. Multivariable logistic regression was performed to identify the factors associated with the MPX conspiracy beliefs scale.

RESULTS

Conspiracy beliefs regarding emerging viruses including MPX were detected among 59.1% of Lebanese adults. Participants endorsed particularly the conspiracy theories linking the virus to a deliberate attempt to reduce the size of the global population (59.6%), gain political control (56.6%) or pharmaceutical companies' financial gain (39.3%), in addition to the manmade origin of MPX (47.5%). Remarkably, the majority of surveyed adults exhibited a negative attitude toward the government's preparedness for a potential MPX outbreak. However, a positive attitude was revealed toward the effectiveness of precautionary measures (69.6%). Female participants and those having a good health status were less likely to exhibit a higher level of conspiracy beliefs. On the contrary, divorced or widowed adults, those having a low economic situation, poor knowledge level, and negative attitude either toward the government or precautionary measures were more prone to disclose a higher level of conspiracy beliefs. Notably, participants relying on social media to get information about MPX were also more likely to have a higher level of conspiracy beliefs compared to their counterparts.

CONCLUSIONS

The widespread extent of conspiracy beliefs endorsement regarding MPX among the Lebanese population urged the policymakers to find ways to reduce people's reliance on these theories. Future studies exploring the harmful impacts of conspiracy beliefs on health behaviors are recommended.

Too Lucky to Be a Victim? An Exploratory Study of Online Harassment and Hate Messages Faced by Social Media Influencers

Influencers are persistently exposed through social media. Once almost unapproachable, celebrities are now open to daily interaction with the public. From comments, polls, emails, and even private messages, the public can engage with their celebrities with a mere click. While this engagement provides influencers with advantages, it also renders them particularly susceptible to online harassment and toxic critics. This paper investigates the characteristics, impact, and reactions to cyber victimisation among social media influencers. To accomplish this objective, the paper presents the findings of two studies: a self-reported online victimisation survey conducted among Spanish influencers and an online ethnography. The results indicate that over 70% of influencers have encountered some form of online harassment and toxic critics. Cyber victimisation, its effects, and reactions vary across socio-demographic characteristics and the influencers' profiles. Furthermore, the qualitative analysis of the online ethnography reveals that harassed influencers can be classified as non-ideal victims. The implications of these findings for the literature are discussed.

Role of Informal Social Control in Predicting Racist Hate Speech on Online Platforms: Collective Efficacy and the Theory of Planned Behavior

Drawing on the theory of planned behavior (TPB), the present study examined the relative importance of informal social control and social cohesion/trust in the behavioral intention to post online race-related hate speech. A conceptual framework of a mediation model was validated on data from 809 survey respondents, and age, gender, Internet usage, and the number of posts representing racist hate speech on online platforms in a 1-year period were controlled for as demographic data. Twenty-six measurement items were designed to measure the four TPB constructs of attitude, subjective norm, perceived behavioral control (PBC), and behavioral intention, as well as the two action-oriented variables of social cohesion/trust and informal social control. Partial least-squares structural equation modeling analysis was conducted to test a series of research hypotheses, and the findings were as follows: (a) informal social control partially mediated the relationships between behavioral intention to post online race-related hate speech and both attitude and subjective norm; (b) informal social control fully mediated the influence of PBC on behavioral intention; and (c) social cohesion/trust did not significantly mediate any of the relationships between behavioral intention and attitude, subjective norm, or PBC. The results indicate that the willingness to intervene in informal social control plays an important role in preventing unwelcome online activity.

Where past meets present: Indigenous vaccine hesitancy in Saskatchewan

In Canada, colonisation, both historic and ongoing, increases Indigenous vaccine hesitancy and the threat posed by infectious diseases. This research investigated Indigenous vaccine hesitancy in a First Nation community in Saskatchewan, ways it can be overcome, and the influence of a colonial history as well as modernity. Research followed Indigenous research methodologies, a community-based participatory research design, and used mixed methods. Social media posts (interventions) were piloted on a community Facebook page in January and February (2022). These interventions tested different messaging techniques in a search for effective strategies. The analysis that followed compared the number of likes and views of the different techniques to each other, a control post, and community-developed posts implemented by the community's pandemic response team. At the end of the research, a sharing circle occurred and was followed by culturally appropriate data analysis (Nanâtawihowin Âcimowina Kika-Môsahkinikêhk Papiskîci-Itascikêwin Astâcikowina procedure). Results demonstrated the importance of exploring an Indigenous community's self-determined solution, at the very least, alongside the exploration of external solutions. Further, some sources of vaccine hesitancy, such as cultural barriers, can also be used to promote vaccine confidence. When attempting to overcome barriers, empathy is crucial as vaccine fears exist, and antivaccine groups are prepared to take advantage of empathetic failures. Additionally, the wider community has a powerful influence on vaccine confidence. Messaging, therefore, should avoid polarising vaccine-confident and vaccine-hesitant people to the point where the benefits of community influence are limited. Finally, you need to understand people and their beliefs to understand how to overcome hesitancy. To gain this understanding, there is no substitute for listening.

Closing the Barn Door? Fact-Checkers as Retroactive Gatekeepers of the COVID-19 "Infodemic"

Based on a study of U.S.-tagged items in a global database of fact-checked statements about the novel coronavirus throughout the first year of the pandemic, this article explores the nature of fact-checkers' "retroactive gatekeeping." This term is introduced here to describe the process of assessing the veracity of information after it has entered the public domain rather than before. Although an overwhelming majority of statements across 16 thematic categories were deemed false and debunked, often repeatedly, misinformation continued to circulate freely and widely.

Social contagion induced by uncertain information

Information and individual activities often spread globally through the network of social ties. While social contagion phenomena have been extensively studied within the framework of threshold models, it is common to make an assumption that may be violated in reality: each individual can observe the neighbors' states without error. Here, we analyze the dynamics of global cascades under uncertainty in an otherwise standard threshold model. Each individual uses statistical inference to estimate the probability distribution of the number of active neighbors when deciding whether to be active, which gives a probabilistic threshold rule. Unlike the deterministic threshold model, the spreading process is generally nonmonotonic, as the inferred distribution of neighbors' states may be updated as a new signal arrives. We find that social contagion may occur as a self-fulfilling event in that misperception may trigger a cascade in regions where cascades would never occur under certainty.

Misinformation about the COVID-19 Vaccine in Online Catholic Media

During the COVID-19 pandemic, online media were the most widely used sources of scientific information. Often, they are also the only ones on science-related topics. Research has shown that much of the information available on the Internet about the health crisis lacked scientific rigor, and that misinformation about health issues can pose a threat to public health. In turn, millions of Catholics were found to be demonstrating against vaccination against COVID-19 based on "false" and misleading religious arguments. This research analyses publications about the vaccine in Catholic online media with the aim of understanding the presence of information (and misinformation) in this community. An algorithm designed for each media outlet collected COVID-19 vaccine-related publications from 109 Catholic media outlets in five languages. In total, 970 publications were analysed for journalistic genres, types of headlines and sources of information. The results show that most publications are informative and most of their headlines are neutral. However, opinion articles have mostly negative headlines. Furthermore, a higher percentage of the opinion authors come from the religious sphere and most of the sources cited are religious. Finally, 35% of the publications relate the vaccine to the framing issue of abortion.