Social impacts in social media: An examination of perceived truthfulness and sharing of information

Fighting rumors to fight COVID-19: Investigating rumor belief and sharing on social media during the pandemic

The outbreak of the coronavirus disease (COVID-19) pandemic, a significant health threat, influenced information-related behaviors and induced increased rumor-sharing behaviors on social media. Fighting COVID-19 thus entails the need to fight the rumors as well, providing a strong motivation to explore rumor-related behavior during this extraordinary period. From the perspective of information acquisition, we predicted that information acquisition from social and traditional media would interactively influence rumor-related decisions (i.e., rumor belief and sharing) and that critical thinking would shape this relationship. Through a survey of 2424 individuals who used social media during the pandemic, we found that information acquisition from social media was negatively related to rumor sharing and that rumor belief mediated this relationship. Meanwhile, information acquisition from traditional media weakened the negative effect of information acquisition from social media on rumor belief, and critical thinking alleviated the positive effect of rumor belief on rumor sharing. This study contributes to the literature by explaining the diffusion of COVID-19 rumors on social media from an information perspective and revealing how different information sources and thinking styles come into conflict in rumor decisions.

Resilience of political leaders and healthcare organizations during COVID-19

This study assesses the online societal association of leaders and healthcare organizations from the top-10 COVID-19 resilient nations through public engagement, sentiment strength, and inclusivity and diversity strength. After analyzing 173,071 Tweets authored by the leaders and health organizations, our findings indicate that United Arab Emirate's Prime Minister had the highest online societal association (normalized online societal association: 1.000) followed by the leaders of Canada and Turkey (normalized online societal association: 0.068 and 0.033, respectively); and among the healthcare organizations, the Public Health Agency of Canada was the most impactful (normalized online societal association: 1.000) followed by the healthcare agencies of Turkey and Spain (normalized online societal association: 0.632 and 0.094 respectively). In comparison to healthcare organizations, the leaders displayed a strong awareness of individual factors and generalized their Tweets to a broader audience. The findings also suggest that users prefer accessing social media platforms for information during health emergencies and that leaders and healthcare institutions should realize the potential to use them effectively.

Synergy between Public and Private Healthcare Organizations during COVID-19 on Twitter

BACKGROUND

Social media platforms (SMPs) are frequently used by various pharmaceutical companies, public health agencies, and NGOs for communicating health concerns, new advancements, and potential outbreaks. While the benefits of using them as a tool have been extensively discussed, the online activity of various healthcare organizations on SMPs during COVID-19 in terms of engagement and sentiment forecasting has not been thoroughly investigated.

OBJECTIVE

The purpose of this research is to analyze the nature of information shared on Twitter, understand the public engagement generated on it, and forecast the sentiment score for various organizations.

METHODS

Data was collected from the Twitter handles of five pharmaceutical companies, ten U.S. and Canadian public health agencies, and World Health Organization (WHO) between January 01, 2017 - December 31, 2021. A total of 181,469 tweets were divided into two phases for the analysis: before COVID-19 and during COVID-19, based on the confirmation of the first COVID-19 community transmission case in North America on February 26, 2020. We conducted content analysis to generate health-related topics using Natural Language Processing (NLP) based topic modeling techniques, analyzed public engagement on Twitter, and performed sentiment forecasting using 16 univariate moving-average and machine learning (ML) models to understand the correlation between public opinion and tweet contents.

RESULTS

We utilized the topics modeled from the tweets authored by the health organizations chosen for our analysis using Non-Negative Matrix Factorization (NMF) ('c_umass' scores: -3.6530 and -3.7944, before COVID-19 and during COVID-19 respectively). The topics are - 'Chronic Diseases', 'Health Research', 'Community Healthcare', 'Medical Trials', 'COVID-19', 'Vaccination', 'Nutrition and Well-being', and 'Mental Health'. In terms of user impact, WHO (user impact: 4171.24) had the highest impact overall, followed by the public health agencies, CDC (user impact: 2895.87), and NIH (user impact: 891.06). Among pharmaceutical companies, Pfizer's user impact was the highest at 97.79. Furthermore, for sentiment forecasting, ARIMA and SARIMAX models performed best on the majority of the subsets of data (divided as per the health organization and time-period), with Mean Absolute Error (MAE) between 0.027 - 0.084, Mean Squared Error (MSE) between 0.001 - 0.011, and Root Mean Squared Error (RMSE) between 0.031 - 0.105.

CONCLUSIONS

Our findings indicate that people engage more on topics like 'COVID-19' than 'Medical Trials', 'Customer Experience'. Also, there are notable differences in the user engagement levels across organizations. Global organizations, like WHO, show wide variations in engagement levels over time. The sentiment forecasting method discussed presents a way for organizations to structure their future content to ensure maximum user engagement.

CLINICALTRIAL

Factors affecting online knowledge sharing and its effect on academic performance

Purpose

This study aims to explore the factors that affect online knowledge sharing among the scientific performance of academics at the University of Mosul, Republic of Iraq.

Design/methodology/approach

Data were collected by using a random sample by means of an electronic questionnaire distributed to 211 academics at the University of Mosul via online platforms. Structural equation modeling was used to test hypotheses using AMOS 24 software.

Findings

The results showed that collaboration, perceived flexibility and willingness to share had a significant effect on online knowledge sharing behavior and that which in turn had an effect on the academic performance of respondents, while the results showed no influence of knowledge self-efficacy and communication on the behavior of online knowledge sharing.

Research limitations/implications

In this research, the effects of five factors on online knowledge sharing behavior were studied, in addition to the effect of the latter on academic performance. The research did not study the effect of the participants’ personal characteristics on the behavior of knowledge sharing online, which could be an area of future investigation. The study was limited to online knowledge sharing for academics working in public universities, and the authors suggest conducting a future study from the perspective of medical staff working in hospitals and its impact on their performance.

Practical implications

Based on the findings of the current study, this study suggests that the academic staff at the University of Mosul and similar universities pay attention to scientific cooperation between researchers and teaching staff, by creating online groups to carry out joint research projects that contribute to sharing knowledge among participants through social media in general and scientific platforms in particular. Establishing a scientific research portal could serve this well for example.

Originality/value

Most previous studies have focused on areas related to knowledge sharing in higher education institutions from the traditional perspective and therefore studies that examine the factors affecting online knowledge sharing among academics are limited, so this study fills this gap. This paper focuses on identifying the scientific benefits for academics through knowledge exchange and the use of electronic platforms at the University of Mosul. The study is expected to contribute to enhance the exchange of knowledge online between academics in similar universities in Asia and Africa due to the convergence of cultures and the nature of the work of these universities, as well as the possibility of generalization due to the research’s use of the deductive method.

Evaluating the Impact of Attempts to Correct Health Misinformation on Social Media: A Meta-Analysis

Social media poses a threat to public health by facilitating the spread of misinformation. At the same time, however, social media offers a promising avenue to stem the distribution of false claims - as evidenced by real-time corrections, crowdsourced fact-checking, and algorithmic tagging. Despite the growing attempts to correct misinformation on social media, there is still considerable ambiguity regarding the ability to effectively ameliorate the negative impact of false messages. To address this gap, the current study uses a meta-analysis to evaluate the relative impact of social media interventions designed to correct health-related misinformation (k = 24; N = 6,086). Additionally, the meta-analysis introduces theory-driven moderators that help delineate the effectiveness of social media interventions. The mean effect size of attempts to correct misinformation on social media was positive and significant (d = 0.40, 95% CI [0.25, 0.55], p =.0005) and a publication bias could not be excluded. Interventions were more effective in cases where participants were involved with the health topic, as well as when misinformation was distributed by news organizations (vs. peers) and debunked by experts (vs. non-experts). The findings of this meta-analysis can be used not only to depict the current state of the literature but also to prescribe specific recommendations to better address the proliferation of health misinformation on social media.

The role of libraries in misinformation programming: A research agenda

Misinformation, or fake news, has exploded across social media platforms and communities over the past few years, with serious social and political implications. Many library practitioners and organizations have argued that libraries can and should play a central role in educating the public about this emerging issue. However, serious gaps exist in understanding how libraries can create effective community education about misinformation. This article maps out a research agenda that researchers and public library practitioners can use to make libraries more effective sites for combatting misinformation. This research agenda is grounded in analysis of interviews and workshop discussions of public library staff from Washington State. This analysis reveals three areas in which academic partners can support public libraries: through the design of effective programming, through the development of tools that help librarians keep up-to-date on relevant misinformation, and through interventions in the political and economic contexts that hamper the freedom of librarians to engage controversial topics. Our hope is that this article can help to spur more expansive library and information science research across these areas and become the beginning of a longer and more empirically grounded conversation about how public libraries can achieve their potential for combating misinformation.

Social Impact of Psychological Research on Well-Being Shared in Social Media

The purpose of this article is to demonstrate how the Social Impact in Social Media (SISM, hereinafter) methodology applied in psychological research provides evidence for the visibility of the social impact of the research. This article helps researchers become aware of whether and how their improvements are capturing the interest of citizens and how citizens are applying such evidence and obtaining better outcomes, in this case, in relation to well-being. In addition, citizens can access the latest evidence on social media and act as channels of communication between science and social or personal networks and, in doing so, they can improve the living conditions of others. This methodology is also useful for agencies that support researchers in psychology with financial assistance, which can use it to evaluate the social impact of the funds that they invest in research. In this article, the 10 studies on well-being were selected for analysis using the following criteria: their research results led to demonstrable improvement in well-being, and these improvements are presented on social media. We applied the social impact coverage ratio to identify the percentage of the social impact shared in social media in relation to the total amount of social media data collected. Finally, examples of quantitative and qualitative evidence of the social impact of the research on well-being are presented.

A model and simulation of the emotional contagion of netizens in the process of rumor refutation

The emotional contagion of netizens is an important factor that accelerates the spread of rumors, and it is also key to the effectiveness of rumor refutation. Based on the existing emotional model, we improved the method for calculating the emotional value and the transformation rules to simulate how the infection transforms individual emotion to group emotion during rumor refutation. The results show that the cycle and trend of netizen emotional change vary by period, but the final distribution structure presents a relatively stable state. The factors that affect the emotional changes of netizens are mainly objective and subjective aspects, both of which can promote the evolution of emotional contagion. The objective aspect depends on the speed and credibility of the rumor, and the subjective aspect depends on the degree of intimacy between netizens. After rumor refutation, emotions generally change from negative emotions to positive or immune emotions.

From Conversations to Digital Communication: The Mnemonic Consequences of Consuming and Producing Information via Social Media

Social media has become one of the most powerful and ubiquitous means by which individuals curate, share, and communicate information with their friends, family, and the world at large. Indeed, 90% of the American adolescents are active social media users, as well as 65% of American adults (Perrin, 2015; see also Duggan & Brenner, 2013). Despite this, psychologists are only beginning to understand the mnemonic consequences associated with social media use. In this article, we will distill this nascent literature by focusing on two primary factors: the type of information (personal vs. public) and the role (producer vs. consumer) individuals play when engaging with social media. In particular, we will highlight research examining induced forgetting for personal information as well as false memories and truthiness for public information. We will end by providing some tentative conclusions and a discussion of areas in need of additional research that will provide a more holistic understanding of the mnemonic consequences associated with social media use.

Role of social media in information-seeking behaviour of international students

Purpose

The purpose of this paper is to investigate the information-seeking behaviour of international students in terms of their information needs and to highlight the role of social media.

Design/methodology/approach

In this paper, a systematic literature survey was conducted in order to investigate information-seeking trends among international students while using social media. As a result, an exhaustive systematic literature review (SLR) was carried out in order to investigate social media as a source for the observation of the behaviours of international students. For this purpose, 71 articles were selected from various well-known sources after an intensive SLR process of searching, filtering and enforcing the inclusion and exclusion criteria.

Findings

As an outcome of this study, the information-seeking behaviour of international students was highlighted with respect to social media as a source of information. In addition, this research identifies the information needs of the international students and categorizes them by the roles played by the social media in fulfilling the information needs.

Practical implications

A comparative study that highlighted the dearth of studies which merge the social media and information-seeking behaviour of international students as well as identify the future direction for the researchers and for benefits of international students.

Originality/value

A detail SLR which highlights the need of shifting the information seeking behaviour from libraries to social media in regard to the new environment for international students.

Dynamics of human categorization in a collaborative tagging system: How social processes of semantic stabilization shape individual sensemaking

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We study how categories people develop in collaborative tagging change over time.

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Their internal cognitive categories and the tags they use are coordinated.

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Especially groups converging in the use of terms develop differentiated categories.

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Social processes around shared artefacts have a mediating effect on learning.

We study how categories form and develop over time in a sensemaking task by groups of students employing a collaborative tagging system. In line with distributed cognition theories, we look at both the tags students use and their strength of representation in memory. We hypothesize that categories get more differentiated over time as students learn, and that semantic stabilization on the group level (i.e. the convergence in the use of tags) mediates this relationship. Results of a field experiment that tested the impact of topic study duration on the specificity of tags confirms these hypotheses, although it was not study duration that produced this effect, but rather the effectiveness of the collaborative taxonomy the groups built. In the groups with higher levels of semantic stabilization, we found use of more specific tags and better representation in memory. We discuss these findings with regard to the important role of the information value of tags that would drive both the convergence on the group level as well as a shift to more specific levels of categorization. We also discuss the implication for cognitive science research by highlighting the importance of collaboratively built artefacts in the process of how knowledge is acquired, and implications for educational applications of collaborative tagging environments.