Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis

Uncovering a pseudoscience: an analysis of 'biological dentistry' Instagram posts

OBJECTIVE

This infodemiology study aimed to analyze characteristics of English-language Instagram posts on 'Biological Dentistry'.

MATERIALS AND METHODS

Using CrowdTangle, we analyzed 500 'Biological Dentistry' posts published on Instagram from May 2017 to May 2022. Two researchers assessed each post for facticity, motivation, author's profile, sentiment, and interaction metrics. Statistical analysis was employed to compare interaction metrics between dichotomized categories of posts' characteristics and determine predictors of misinformation and user engagement.

RESULTS

Over half of the posts (58.4%) were from health-related authors, and a considerable number contained misinformation (68.2%) or were financially motivated (52%). Sentiment was mostly negative or neutral (59.8%). Misinformation was associated with financial motivation (OR = 2.12) and health-related authors (OR = 5.56), while non-health-related authors' posts associated with higher engagement (OR = 1.98). Reliable content, non-health-related authorship, and positive sentiment were associated with increased user interaction.

CONCLUSION

Misinformation about 'Biological Dentistry' on Instagram is mainly spread by financially incentivized health-related authors. Yet, non-health-related authors' posts resonate more with audiences, highlighting a nuanced relationship between content facticity, authorship, and engagement.

Scanned information exposure and support for tobacco regulations among US youth and young adult tobacco product users and non-users

The influences of information exposure on youth and young adults' (YYA) support for smoking/vaping regulations have been understudied. This study examines (i) the relationships between routine exposure to (i.e. scanning) anti-smoking/pro-vaping information and YYA support for anti-smoking/vaping regulations and (ii) whether these relationships differ across YYA users and non-users of tobacco products. We analyzed the data from a nationally representative two-wave rolling cross-sectional survey of YYA in the United States, collected from 2014 to 2017 (baseline n = 10 642; follow-up n = 4001). Less than 5% of the participants ever scanned pro-smoking and anti-vaping information. Scanning anti-smoking information had significant positive relationships with support for all anti-smoking policies cross-sectionally, and this pattern was longitudinally significant in two anti-smoking policy contexts. Scanning pro-vaping information had significant negative associations with support for anti-vaping policies cross-sectionally, but not longitudinally. The lagged positive relationships between scanning anti-smoking information and support for anti-smoking regulations were stronger among YYA smokers than among YYA non-smokers, whereas evidence from adult data suggested the opposite pattern. The findings suggest that scanning information can affect YYA support for tobacco regulations. Future efforts are required to investigate mechanisms underlying the influences of scanned information on YYA support for tobacco regulations.

An Analysis of Twitter Posts About the U.S. Food and Drug Administration's Menthol Ban

INTRODUCTION

Although the U.S. Food and Drug Administration (FDA) banned characterizing flavors in cigarettes in 2009, this initial ban exempted menthol. After examining numerous reports on the adverse health effects of menthol cigarettes, the FDA proposed a menthol ban in April 2022. This study analyzed Twitter data to describe public reaction to this announcement.

AIMS AND METHODS

Posts containing the word "menthol" and/or "#menthol" were collected from April 21, 2022 to May 5, 2022 from Twitter's Streaming Application Programming Interface (API). A random sampling procedure supplied 1041 tweets for analysis. Following an inductive approach to content analysis, posts were classified into one or more of 11 themes.

RESULTS

Posts discussed the FDA announcement (n = 153, 14.7%), racial discrimination (n = 101, 9.7%), distrust in government (n = 67, 6.4%), inconsistencies between policies (n = 52, 5.0%), public health benefits (n = 42, 4%), freedom of choice (n = 22, 2.1%), and health equity (n = 21, 2.0%). Posts contained misinformation (n = 20, 1.9%), and discussed the potential for illicit markets (n = 18, 1.7%) and the need for cessation support (n = 4, 0.4%). 541 (52.0%) tweets did not fit into any of the prescribed themes.

CONCLUSIONS

Twitter posts with the word "menthol" commonly discussed distrust in government and mentioned racial discrimination. Findings demonstrated the possibility of near real-time Twitter monitoring of public opinion on a menthol ban. These data may be valuable for designing tobacco control health communication campaigns in the future.

IMPLICATIONS

The U.S. FDA proposed a ban on menthol cigarettes in April 2022. This study's content analyzed Twitter posts over a 2-week period to understand the public's response to the proposed menthol ban. Twitter posts with the word "menthol" often discussed distrust in government and mentioned racial discrimination. Findings demonstrated the possibility of near real-time Twitter monitoring of public opinion of regulatory action. Findings underscore the need to educate the public about the potential health benefits of banning menthol from cigarettes, particularly for populations that experience tobacco-related health disparities.

#TurntTrending: a systematic review of substance use portrayals on social media platforms

AIMS

There is a growing body of literature exploring the types of substance-related content and their portrayals on various social media platforms. We aimed to summarize how content related to substances is portrayed on various social media platforms.

METHODS

This systematic review was pre-registered on PROSPERO (ref: CRD42021291853). A comprehensive search was conducted in the databases of PubMed, Scopus, PsycINFO and Web of Science in April 2021. Original qualitative studies published post-2004 that included thematic and sentiment analyses of social media content on tobacco, alcohol, psychostimulant, e-cigarette, cannabis, opiate, stimulant/amphetamine, inhalant and novel psychoactive substance were included. Social media platforms were defined as online web- or application-based platforms that allowed users to generate content and interact via 'liking', comment or messaging features. Only studies that included summative and/or thematic content analyses of substance-related social media content were included.

RESULTS

A total of 73 studies, which covered 15 905 182 substance-related posts on Twitter, YouTube, Instagram, Pinterest, TikTok and Weibo, were identified. A total of 76.3% of all substance-related content was positive in its depiction of substance use, with 20.2% of content depicting use negatively. Sentiment regarding opiate use however was commonly negative (55.5%). Most studies identified themes relating to Health, Safety and Harms (65.0%) of substance use. Themes relating to Promotions/Advertisements (63.3%), Informative content (55.0%) and Use behaviours (43.3%) were also frequently identified.

CONCLUSIONS

Substance-related content that promotes engagement with substance use or actively depicts use appears to be widely available on social media. The large public presence of this content may have concerning influences on attitudes, behaviours and risk perceptions relating to substance use, particularly among the most vulnerable and heaviest users of social media-adolescents and young adults.

Substance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessness

Purpose

This study investigates associations between Facebook (FB) conversations and self-reports of substance use among youth experiencing homelessness (YEH). YEH engage in high rates of substance use and are often difficult to reach, for both research and interventions. Social media sites provide rich digital trace data for observing the social context of YEH's health behaviors. The authors aim to investigate the feasibility of using these big data and text mining techniques as a supplement to self-report surveys in detecting and understanding YEH attitudes and engagement in substance use.

Design/methodology/approach

Participants took a self-report survey in addition to providing consent for researchers to download their Facebook feed data retrospectively. The authors collected survey responses from 92 participants and retrieved 33,204 textual Facebook conversations. The authors performed text mining analysis and statistical analysis including ANOVA and logistic regression to examine the relationship between YEH's Facebook conversations and their substance use.

Findings

Facebook posts of YEH have a moderately positive sentiment. YEH substance users and non-users differed in their Facebook posts regarding: (1) overall sentiment and (2) topics discussed. Logistic regressions show that more positive sentiment in a respondent's FB conversation suggests a lower likelihood of marijuana usage. On the other hand, discussing money-related topics in the conversation increases YEH's likelihood of marijuana use.

Originality/value

Digital trace data on social media sites represent a vast source of ecological data. This study demonstrates the feasibility of using such data from a hard-to-reach population to gain unique insights into YEH's health behaviors. The authors provide a text-mining-based toolkit for analyzing social media data for interpretation by experts from a variety of domains.

Spread of gambling abstinence through peers and comments in online self-help chat forums to quit gambling

Habit formation occurs in relation to peer habits and comments. This general principle was applied to gambling abstinence in the context of online self-help forums to quit gambling. Participants in this study, conducted between September 2008 and March 2020, were 161 abstinent and 928 non-abstinent gamblers who participated in online self-help chat forums to quit gambling. They received 269,317 comments during their first 3 years of forum participation. Gamblers had an increased likelihood of 3-year continuous gambling abstinence if they had many peers in the forums. However, they had a decreased likelihood of gambling abstinence if they received rejective comments from the forums. Based on these results, online social network-based interventions may be a new treatment option for gamblers.

Exposure to tobacco and e-cigarette advertisements by sexual identity status among high school students

INTRODUCTION

The literature on tobacco advertising among sexual minorities is relatively scarce. This study examined the association between exposure to tobacco products and e-cigarettes advertisements and sexual identity.

METHODS

Data were from the 2020 National Youth Tobacco Survey (n = 7223). The prevalence of exposure to tobacco marketing through various channels was estimated among high school students and by sexual identity subgroups. Multivariable logistic regressions were used to examine the association between sexual identity status and exposure to tobacco and e-cigarette advertisements.

RESULTS

The proportion of sexual minority adolescents who reported exposure to tobacco and e-cigarette advertisements was higher than heterosexuals. In multivariable analysis, gay or lesbian youth (aOR 1.45, 95% CI, 1.04-2.02) had higher odds of any exposure to tobacco and e-cigarette advertisement than heterosexuals. Regarding the channel of advertisement exposure, sexual minorities were more likely to be exposed via newspapers/magazines for cigarettes or other tobacco products. Likewise, gay or lesbian youth and those not sure about their sexual identity had higher odds of exposure via newspapers/magazines for e-cigarettes. Analysis stratified by sex showed significant differences, with gay or lesbian males more likely to be exposed to any tobacco and e-cigarette advertisements via the internet, newspapers/magazines, and TV/streaming services. Males not sure about their sexual identity are more likely to be exposed to tobacco and e-cigarette advertisements via newspapers/magazines.

CONCLUSIONS

Overall, sexual minority adolescents had high exposure to tobacco products and e-cigarette advertisements, especially males. Prevention and intervention efforts targeting this population could help reduce the well-established tobacco use disparities.

Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis

Background

Liver transplantation (LT) is the only curative treatment for end-stage liver disease. Less than 10% of global transplantation needs are met worldwide, and the need for LT is still increasing. The death rates on the waiting list remain too high.

Objective

It is, therefore, critical to raise awareness among the public and health care providers and in turn increasingly acquire donors.

Methods

We performed a Google Trends search using the search terms liver transplantation and liver transplant on October 15, 2020. On the basis of the resulting monthly data, the annual average Google Trends indices were calculated for the years 2004 to 2018. We not only investigated the trend worldwide but also used data from the United Network for Organ Sharing (UNOS), Spain, and Eurotransplant. Using pairwise Spearman correlations, Google Trends indices were examined over time and compared with the total number of liver transplants retrieved from the respective official websites of UNOS, the Organización Nacional de Trasplantes, and Eurotransplant.

Results

From 2004 to 2018, there was a significant decrease in the worldwide Google Trends index from 78.2 in 2004 to 20.5 in 2018 (–71.2%). This trend was more evident in UNOS than in the Eurotransplant group. In the same period, the number of transplanted livers increased worldwide. The waiting list mortality rate was 31% for Eurotransplant and 29% for UNOS. However, in Spain, where there are excellent awareness programs, the Google Trends index remained stable over the years with comparable, increasing LT numbers but a significantly lower waiting list mortality (15%).

Conclusions

Public awareness in LT has decreased significantly over the past two decades. Therefore, novel awareness programs should be initialized.

What About Drug Checking? Systematic Review and Netnographic Analysis of Social Media

Drug checking services have been operating worldwide as a harm reduction tool in places like festivals and night clubs. A systematic review and netnographic analysis were conducted to explore the public’s perception of drug checking. Although public perceptions of drug checking had not previously been evaluated in the literature, some positive and negative perceptions were captured. From twitter, a total of 1316 tweets were initially identified. Following the removal of irrelevant tweets, 235 relevant tweets were identified, of which about 95% (n = 223) tweets were in favour, and about 5% (n = 12) were not in favour of drug checking as a harm reduction intervention. Tweets perceived the service as part of effective law reform, public health intervention that serves in raising awareness and countering the role of the internet, initiative to reduce drug related harms and/ or potentially deaths, help in identifying Novel drug trends related to drugs, enabling a scientific basis to capture data, reducing harm from risky drugs or risky consumption, reducing the economic and social burden on society and preventing young people from having criminal records and punitive fines. Drug checking was perceived to support engagement with treatment services and support individuals in making more informed decisions. Tweets against drug checking focussed on the concerns over the quality of drug checking, particularly with false-positive results, which may lead to punitive outcomes, discrimination, and prejudice. The present study showed that twitter can be a useful platform to capture people’s perceptions of drug checking.

Qualitative Thematic Analysis of Social Media Data to Assess Perceptions of Route of Administration for Antiretroviral Treatment among People Living with HIV

BACKGROUND

HIV is a condition that requires lifelong treatment. Treatment options currently consist of oral antiretroviral therapies (ART) taken once or twice daily. Long-acting injectable HIV treatments are currently in development to be administered monthly or every other month. Preferences for route of administration could influence treatment adherence, which could affect treatment outcomes. The purpose of this study was to examine patient perceptions of oral and injectable routes of administration for ART.

METHODS

Qualitative thematic analysis was conducted to examine 5122 online discussion threads by people living with HIV (PLHIV) in the POZ Community Forums from January 2013 to June 2018. Analysis focused on identifying perceptions of oral or injectable routes of administration for ART. Relevant threads were extracted and imported into the qualitative data analysis software package ATLAS.ti.8 so that text could be reviewed and coded.

RESULTS

Analyses identified 684 relevant discussion threads including 2626 coded quotations from online posts by 568 PLHIV. The oral route of administration was discussed more frequently than injectable (2516 quotations for oral; 110 injectable). Positive statements on the oral route of administration commonly mentioned the small number of pills (276 quotations), dose frequency (245), ease of scheduling (153), and ease of use (146). PLHIV also noted disadvantages of the oral route of administration including negative emotional impact (166), difficulty with medication access (106), scheduling (131), and treatment adherence (121). Among the smaller number of PLHIV discussing injectable ART, common positive comments focused on dose frequency (34), emotional benefits of not taking a daily pill (7), potential benefits for adherence (6), overall convenience (6), and benefits for traveling (6). Some comments from PLHIV perceived the frequency of injections negatively (10), and others had negative perceptions of needles (8) or appointments required to receive injections (7).

CONCLUSIONS

Qualitative analysis revealed that route of administration was frequently discussed among PLHIV on this online forum. While many expressed positive views about their daily oral medication regimen, others perceived inconveniences and challenges. Among PLHIV who were aware of a possible monthly injectable treatment, many viewed this new route of administration as a convenient alternative with potential to improve adherence.

Canada's response to international travel during COVID-19 pandemic - a media analysis

Background

The media play a critical role in informing the public about the COVID-19 pandemic. Throughout the pandemic, international travel has been a highly contested subject at both the international and national levels. We examined Canadian media reporting on international travel restrictions during the pandemic, how these restrictions aligned with the International Health Regulations (IHR 2005), and how the narrative around international travel evolved over time.

Methods

We analysed articles from Canada’s top three national newspapers by circulation – The Globe and Mail, The National Post and The Toronto Star - published between Jan 1, 2020 - May 31, 2020. Our search yielded a total of 378 articles across the three newspapers. After removing duplicates and screening the remaining articles, we included a total of 62 articles for the analysis. We conducted a qualitative media content analysis by using an inductive coding approach.

Results

Three major themes were identified within the articles. These included: 1) The role of scientific and expert evidence in implementing travel restrictions; 2) Federal legislation, regulation and enforcement of international travel measures; and 3) Compliance with World Health Organization (WHO) guidelines in travel restriction policy- and decision-making. The federal government relied primarily on scientific evidence for implementing international travel restrictions and fully exercised its powers under the Quarantine Act to enforce travel regulations and comply with the IHR 2005. The government embraced a rules-based international order by following WHO recommendations on international travel, contributing to a delay in border closure and travel restrictions until mid-March.

Conclusion

The media focussed significantly on international travel-related issues during the early phase of the pandemic. The dominant media narrative surrounded the need for earlier travel restrictions against international travel.

Social Network Analysis of an Online Smoking Cessation Community to Identify Users' Smoking Status

Objectives

Users share valuable information through online smoking cessation communities (OSCCs), which help people maintain and improve smoking cessation behavior. Although OSCC utilization is common among smokers, limitations exist in identifying the smoking status of OSCC users (“quit” vs. “not quit”). Thus, the current study implicitly analyzed user-generated content (UGC) to identify individual users’ smoking status through advanced computational methods and real data from an OSCC.

Methods

Secondary data analysis was conducted using data from 3,833 users of BcomeAnEX.org. Domain experts reviewed posts and comments to determine the authors’ smoking status when they wrote them. Seven types of feature sets were extracted from UGC (textual, Doc2Vec, social influence, domain-specific, author-based, and thread-based features, as well as adjacent posts).

Results

Introducing novel features boosted smoking status recognition (quit vs. not quit) by 9.3% relative to the use of text-only post features. Furthermore, advanced computational methods outperformed baseline algorithms across all models and increased the smoking status prediction performance by up to 12%.

Conclusions

The results of this study suggest that the current research method provides a valuable platform for researchers involved in online cessation interventions and furnishes a framework for on-going machine learning applications. The results may help practitioners design a sustainable real-time intervention via personalized post recommendations in OSCCs. A major limitation is that only users’ smoking status was detected. Future research might involve programming machine learning classification methods to identify abstinence duration using larger datasets.

Valence of Media Coverage About Electronic Cigarettes and Other Tobacco Products From 2014 to 2017: Evidence From Automated Content Analysis

INTRODUCTION

As media exposure can influence people's opinions and perceptions about vaping and smoking, analyzing the valence of media content about tobacco products (ie, overall attitude toward tobacco, cigars, electronic cigarettes, etc.) is an important issue. This study advances the field by analyzing a large amount of media content about multiple tobacco products across six different media sources.

AIMS AND METHODS

From May 2014 to December 2017, we collected all English-language media items about tobacco products that U.S. young people might see from mass media and websites (long-form) and social media (Twitter and YouTube). We used supervised machine learning to develop validated algorithms to label the valence of these media items. Using the labeled results, we examined the impact of product type (e-cigarettes vs. other tobacco products), source (long-form vs. social media), and time (by month) on the valence of coverage.

RESULTS

We obtained 152 886 long-form media texts (20% with more than a passing mention), nearly 86 million tweets, and 12 262 YouTube videos about tobacco products. Most long-form media content opposed, while most social media coverage supported, the use of e-cigarettes and other tobacco products. Over time, within-source valence proportions were stable, though in aggregate, the amount of media coverage against the use of tobacco products decreased.

CONCLUSIONS

This study describes the U.S. public communication environment about vaping and smoking for young people and offers a novel big data approach to analyzing media content. Results suggest that content has gradually become less negative toward the use of e-cigarettes and other tobacco products.

IMPLICATIONS

This study is the first to examine how the valence of media coverage differs for e-cigarettes versus other tobacco products, across several media sources, and over time using a large corpus of media items. Unlike prior studies, these data allow us to draw conclusions about relative support and opposition for these two categories of products in a variety of media coverage because the same coding scheme was used across products and media sources.

Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review

BACKGROUND

Modifiable risky health behaviors, such as tobacco use, excessive alcohol use, being overweight, lack of physical activity, and unhealthy eating habits, are some of the major factors for developing chronic health conditions. Social media platforms have become indispensable means of communication in the digital era. They provide an opportunity for individuals to express themselves, as well as share their health-related concerns with peers and health care providers, with respect to risky behaviors. Such peer interactions can be utilized as valuable data sources to better understand inter-and intrapersonal psychosocial mediators and the mechanisms of social influence that drive behavior change.

OBJECTIVE

The objective of this review is to summarize computational and quantitative techniques facilitating the analysis of data generated through peer interactions pertaining to risky health behaviors on social media platforms.

METHODS

We performed a systematic review of the literature in September 2020 by searching three databases-PubMed, Web of Science, and Scopus-using relevant keywords, such as "social media," "online health communities," "machine learning," "data mining," etc. The reporting of the studies was directed by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Two reviewers independently assessed the eligibility of studies based on the inclusion and exclusion criteria. We extracted the required information from the selected studies.

RESULTS

The initial search returned a total of 1554 studies, and after careful analysis of titles, abstracts, and full texts, a total of 64 studies were included in this review. We extracted the following key characteristics from all of the studies: social media platform used for conducting the study, risky health behavior studied, the number of posts analyzed, study focus, key methodological functions and tools used for data analysis, evaluation metrics used, and summary of the key findings. The most commonly used social media platform was Twitter, followed by Facebook, QuitNet, and Reddit. The most commonly studied risky health behavior was nicotine use, followed by drug or substance abuse and alcohol use. Various supervised and unsupervised machine learning approaches were used for analyzing textual data generated from online peer interactions. Few studies utilized deep learning methods for analyzing textual data as well as image or video data. Social network analysis was also performed, as reported in some studies.

CONCLUSIONS

Our review consolidates the methodological underpinnings for analyzing risky health behaviors and has enhanced our understanding of how social media can be leveraged for nuanced behavioral modeling and representation. The knowledge gained from our review can serve as a foundational component for the development of persuasive health communication and effective behavior modification technologies aimed at the individual and population levels.

Smoking, Vaping, and Tobacco Industry During COVID-19 Pandemic: Twitter Data Analysis

The reports suggesting a beneficial effect of nicotine on coronavirus disease 2019 (COVID-19) severity may encourage smoking. We aimed to analyze tweets on COVID-19 and smoking coming from casual Twitter users and Twitter accounts representing the tobacco industry. We collected tweets on COVID-19 and smoking from January 1 to May 1, 2020, using Twitter application programming interface. We analyzed sentiment, likes, or retweet to followers ratios, and the posts coming from the casual users to find pieces of news that could affect the discourse. Tweets coming from industry were analyzed manually. We analyzed n = 33,890 tweets on COVID-19 and smoking. The sentiment of tweets was negative, hitting a nadir in mid-March, but became less negative in April when preprints suggesting benefits from smoking on COVID-19 were released. Similar trends were observed for the ratios of likes or retweets to followers. We found 58 messages from the tobacco industry concerning COVID-19. Twenty-two (37.9 percent) mentioned the efforts of tobacco companies to support the development of a COVID-19 vaccine. Two tweets included Food and Drug Administration statements that there is no evidence that vaping increases the risk of COVID-19. The occurrence of preprints suggesting benefits of smoking in COVID-19 might increase sentiment and reactions to tweets on tobacco products and the virus. The authors of potentially controversial articles should restrain from the promotion of their results before the completion of the peer-review process. Twitter presents a convenient tool to monitor e-discourse during a health crisis. The research community should monitor the tobacco industry's social media.

Assessing cigarette packaging and labelling policy effects on early adolescents: results from a discrete choice experiment

INTRODUCTION

Cigarette packaging is a primary channel for tobacco advertising, particularly in countries where traditional channels are restricted. The current study evaluated the independent and interactive effects of cigarette packaging and health warning label (HWL) characteristics on perceived appeal of cigarette brands for early adolescents in Mexico.

METHODS

A discrete choice experiment (DCE) was conducted with early adolescents, aged 12-14 years (n=4251). The DCE involved a 3×25 design with six attributes: brand (Marlboro, Pall Mall, Camel), tobacco flavour (regular, menthol), flavour capsule (none, 1 or 2 capsules), presence of descriptive terms, branding (vs plain packaging), HWL size (30%, 75%) and HWL content (emphysema vs mouth cancer). Participants viewed eight sets of three cigarette packs and selected a pack in each set that: (1) is most/least attractive, (2) they are most/least interested in trying or (3) is most/least harmful, with a no difference option.

RESULTS

Participants perceived packs as less attractive, less interesting to try and more harmful if they had plain packaging or had larger HWLs, with the effect being most pronounced when plain packaging is combined with larger HWLs. For attractiveness, plain packaging had the biggest influence on choice (43%), followed by HWL size (19%). Interest in trying was most influenced by brand name (34%), followed by plain packaging (29%). Perceived harm was most influenced by brand name (30%), followed by HWL size (29%).

CONCLUSION

Increasing the size of HWLs and implementing plain packaging appear to reduce the appeal of cigarettes to early adolescents. Countries should adopt these policies to minimise the impact of tobacco marketing.

Infodemiology and Infoveillance: Scoping Review

Background

Web-based sources are increasingly employed in the analysis, detection, and forecasting of diseases and epidemics, and in predicting human behavior toward several health topics. This use of the internet has come to be known as infodemiology, a concept introduced by Gunther Eysenbach. Infodemiology and infoveillance studies use web-based data and have become an integral part of health informatics research over the past decade.

Objective

The aim of this paper is to provide a scoping review of the state-of-the-art in infodemiology along with the background and history of the concept, to identify sources and health categories and topics, to elaborate on the validity of the employed methods, and to discuss the gaps identified in current research.

Methods

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed to extract the publications that fall under the umbrella of infodemiology and infoveillance from the JMIR, PubMed, and Scopus databases. A total of 338 documents were extracted for assessment.

Results

Of the 338 studies, the vast majority (n=282, 83.4%) were published with JMIR Publications. The Journal of Medical Internet Research features almost half of the publications (n=168, 49.7%), and JMIR Public Health and Surveillance has more than one-fifth of the examined studies (n=74, 21.9%). The interest in the subject has been increasing every year, with 2018 featuring more than one-fourth of the total publications (n=89, 26.3%), and the publications in 2017 and 2018 combined accounted for more than half (n=171, 50.6%) of the total number of publications in the last decade. The most popular source was Twitter with 45.0% (n=152), followed by Google with 24.6% (n=83), websites and platforms with 13.9% (n=47), blogs and forums with 10.1% (n=34), Facebook with 8.9% (n=30), and other search engines with 5.6% (n=19). As for the subjects examined, conditions and diseases with 17.2% (n=58) and epidemics and outbreaks with 15.7% (n=53) were the most popular categories identified in this review, followed by health care (n=39, 11.5%), drugs (n=40, 10.4%), and smoking and alcohol (n=29, 8.6%).

Conclusions

The field of infodemiology is becoming increasingly popular, employing innovative methods and approaches for health assessment. The use of web-based sources, which provide us with information that would not be accessible otherwise and tackles the issues arising from the time-consuming traditional methods, shows that infodemiology plays an important role in health informatics research.

Using social media for smoking cessation interventions: a systematic review

Background:

Previous studies have shown that smoking tobacco significantly increases both incidence and mortality rates for many diseases. Social media has become one of the most influential platforms for various smoking cessation interventions. However, results from smoking cessation interventions have differed from study to study. Limited studies have summarised cessation outcomes from social media–based interventions. Therefore, the objective of this review is to explore the effectiveness of using social media for smoking cessation.

Methods:

We searched PubMed, MEDLINE, PsycINFO, and CINAHL for articles between June 2008 and June 2018, and also assessed the references of selected articles. We included studies that used social media as intervention platforms, provided a baseline assessment before the intervention, and provided smoking cessation outcomes after the intervention.

Results:

We identified 13 original studies that enrolled between 16 and 1698 participants; 7-day Point Prevalence Abstinence (PPA) rate was the most frequently used measure of abstinence, with a range of 7%–75%, regardless of the measurement time, study design, and analysis methods. Social media–based smoking cessation interventions were effective, because (1) smokers reported higher 7-day PPA rates after intervention compared to baseline and (2) smokers reported higher 7-day PPA rates in intervention groups than in control groups. Moreover, at each time point, approximately half of all smokers in studies reporting abstinence were found to be biochemically abstinent. There were no significant differences in the effectiveness of smoking cessation outcomes between those that used existing popular social networking platforms (e.g. Pechmann et al’s studies) and those that used individually designed interactive platforms (e.g. MyLastDip, iQuit system, Quitxt system).

Conclusions:

This review highlights the effectiveness of social media–based smoking cessation intervention studies. Due to the widespread use of social media, as well as its low cost, we suggest embedding smoking cessation interventions within existing popular social media platforms.

Harm Perceptions of Menthol and Nonmenthol Cigarettes Differ by Brand, Race/Ethnicity, and Gender in US Adult Smokers: Results from PATH Wave 1

INTRODUCTION

Harm perceptions of menthol cigarettes may contribute to their appeal and use. African-Americans, women, and younger smokers disproportionately use menthol cigarettes, and may misperceive harm of menthol cigarettes.

METHODS

Data were from Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study. Weighted analyses of current adult smokers (18 and older) were used to estimate the correlates of menthol smoking among all cigarette brands and separately for the top three cigarette brands (Newport, Camel, and Marlboro). Adjusted models examined the main effect of menthol smoking on harm perceptions of one's own brand of cigarette and interactions with race/ethnicity, age, and gender.

RESULTS

Menthol cigarettes were used by nearly 40% of current smokers, although the prevalence of menthol smoking differed across the top three brands (94% Newport, 46% Camel, and 18% Marlboro). Among menthol smokers, 80% perceived their cigarette as equally harmful, 14% perceived their brand as more harmful, and 7% perceived their brand as less harmful. In adjusted models, menthol smokers were more likely than nonmenthol smokers to misperceive their own brand as more harmful than other brands (compared to no difference in harm). Race and gender emerged as moderators of the association between menthol brand preference and harm perceptions.

CONCLUSIONS

In adjusted analyses, menthol smokers were more likely than nonmenthol smokers to perceive their brand as more harmful than other brands, with differences by sub-groups who disproportionately use menthol.

IMPLICATIONS

Menthol cigarettes have been historically marketed with messages conveying lower harm than other cigarettes. Little is known about how contemporary adult menthol smokers perceive the harm of their usual brand, and potential differences by race, gender, and young adult versus older adult age group. After adjusting for other factors, menthol smokers were more likely than nonmenthol smokers to perceive their cigarette brand as more harmful than other brands. Further, the association between menthol smoking and harm perceptions differed by race and gender, but not by age group (young adult vs. older adult). This type of large-scale study identifies critical links between menthol smoking and harm perceptions among vulnerable smokers that will inform regulatory actions designed to decrease smoking-related harm.

Combining Crowd-Sourcing and Automated Content Methods to Improve Estimates of Overall Media Coverage: Theme Mentions in E-cigarette and Other Tobacco Coverage

Exposure to media content can shape public opinions about tobacco. Accurately describing content is a first step to showing such effects. Historically, content analyses have hand-coded tobacco-focused texts from a few media sources which ignored passing mention coverage and social media sources, and could not reliably capture over-time variation. By using a combination of crowd-sourced and automated coding, we labeled the population of all e-cigarette and other tobacco-related (including cigarettes, hookah, cigars, etc.) 'long-form texts' (focused and passing coverage, in mass media and website articles) and social media items (tweets and YouTube videos) collected May 2014-June 2017 for four tobacco control themes. Automated coding of theme coverage met thresholds for item-level precision and recall, event validation, and weekly-level reliability for most sources, except YouTube. Health, Policy, Addiction and Youth themes were frequent in e-cigarette long-form focused coverage (44%-68%), but not in long-form passing coverage (5%-22%). These themes were less frequent in other tobacco coverage (long-form focused (13-32%) and passing coverage (4-11%)). Themes were infrequent in both e-cigarette (1-3%) and other tobacco tweets (2-4%). Findings demonstrate that passing e-cigarette and other tobacco long-form coverage and social media sources paint different pictures of theme coverage than focused long-form coverage. Automated coding also allowed us to code the amount of data required to estimate reliable weekly theme coverage over three years. E-cigarette theme coverage showed much more week-to-week variation than did other tobacco coverage. Automated coding allows accurate descriptions of theme coverage in passing mentions, social media, and trends in weekly theme coverage.

Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use

BACKGROUND

Little is known about the influence of online peer interactions on health behavior change. This study examined the relationship between exposure to peer sentiment about nicotine replacement therapy (NRT) in an online social network for smoking cessation and NRT use.

METHODS

Participants were 3297 current smokers who enrolled in an Internet smoking cessation program, participated in a randomized trial, and completed a 3-month follow-up. Half received free NRT as part of the trial. Automated text classification identified 27,038 posts about NRT that one or more participants were exposed to in the social network. Sentiment towards NRT was rated on Amazon Mechanical Turk. Participants' exposure to peer sentiment about NRT was determined by analysis of clickstream data. Modified Poisson regression examined self-reported use of NRT at 3-months as a function of exposure to NRT sentiment, controlling for study arm and post exposure.

RESULTS

One in five participants (19.3%, n = 639) were exposed to any NRT-related posts (mean exposure = 6.5 ± 14.7, mean sentiment = 5.4 ± 0.8). The association between sentiment exposure and NRT use varied by receipt of free NRT. Greater exposure to positive NRT sentiment was associated with an increased likelihood of NRT use among participants who did not receive free NRT (adjusted rate ratio 1.22, 95% CI 1.01, 1.47; p = .043), whereas no such relationship was observed among participants who did receive free NRT (p = .48).

CONCLUSIONS

Exposure to positive sentiment about NRT was associated with increased NRT use when smokers obtained it on their own. Highlighting user-generated content containing positive NRT sentiment may increase NRT use among treatment-seeking smokers.

Vaping associated with healthy food words: A content analysis of Twitter

E-cigarettes were initially introduced as a less harmful alternative to combustible cigarettes, but marketing efforts may now be exceeding these claims by associating e-cigarettes with words related to healthy foods. These associations could mislead people to assume vaping is a healthy practice. Tweets from January to March 2017 were obtained from the Twitter Streaming Application Programming Interface (API) to assess content about vaping linked to healthy food words. Tweets were classified into one of nine categories along with their source (marketer vs. non-marketer). We content analyzed original English language public postings on Twitter that included vaping-related keywords and at least one of eight co-occurring healthy food-related labels (e.g., 'natural,' 'vitamin,' 'vegan,' and 'organic') (N = 1205). Chi-square analyses compared themes by message source. Findings suggest vaping is being marketed in ways that could paradoxically lead consumers to believe that e-cigarettes are health-enhancing. We found more tweets representing vaping as health-enhancing (9%) than referring to it as a smoking-cessation device (1%). The largest category of tweets referred to vaping as harmless (28%) and therefore compatible with a healthy lifestyle. Tweets presenting vaping as harmless or with a sensation theme were more likely to be authored by marketers than by non-marketers. Food and drug regulation needs to be more vigilant to prevent misleading advertising from e-cigarette marketers.

Talking about tobacco on Twitter is associated with tobacco product use

Tobacco-related content appears on social media in the form of advertising and messages by individuals. However, little is known about associations between posting social media messages and tobacco product use among adolescents and young adults. Self-reports of tobacco product use were obtained from the Children's Health Study of young adults in Southern California. Among the 1486 respondents in the most recent wave of the cohort (2016-2017), 284 provided tobacco product use data and their Twitter user names to access publicly available Twitter account data (mean age = 20.1 yrs. (SD = 0.6), 54% female, 49% Hispanic). We obtained the tweets that those respondents posted on Twitter, searched the tweets for 14 nicotine- and tobacco-related keywords, and coded these statements as positive or negative/neutral. Logistic regression analyses were conducted to determine whether respondents who posted positive tobacco-related tweets were more likely to report tobacco product use, relative to those who did not post any positive tobacco-related tweets. Respondents who posted any positive messages about tobacco had significantly higher odds of reporting past month use of cigarettes (OR = 3.15, 95% CI = 1.36, 7.30) and any tobacco product (OR = 2.41, 95% CI = 1.16, 5.01), relative to respondents who did not post about tobacco. This is the first study to establish an empirical link between adolescents' and young adults' tobacco-related Twitter activity and their tobacco product use. Health communications about the risks of tobacco use could target adolescents who post positive messages about tobacco products on Twitter.

Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses: Observational Study

BACKGROUND

Substance use is a major issue for adolescents and young adults, particularly college students. With the importance of peer influence and the ubiquitous use of social media among these age groups, it is important to assess what is discussed on various social media sites regarding substance use. One particular mobile app (Yik Yak) allowed users to post any message anonymously to nearby persons, often in areas with close proximity to major colleges and universities.

OBJECTIVE

This study describes the content, including attitude toward substances, of social media discussions that occurred near college campuses and involved substances.

METHODS

A total of 493 posts about drugs and alcohol on Yik Yak were reviewed and coded for their content, as well as the poster's attitude toward the substance(s) mentioned.

RESULTS

Alcohol (226/493, 45.8%), marijuana (206/493, 41.8%), and tobacco (67/493, 13%) were the most frequently mentioned substances. Posts about use (442/493) were generally positive toward the substance mentioned (262/442, 59.3%), unless the post was about abstinence from the substance. Additionally, posts that commented on the substance use of others tended to be less positive (18/92, 19.6% positive) compared to posts about one's own use (132/202, 65.3% positive).

CONCLUSIONS

This study provides a description of anonymous discussions on or near college campuses about drugs and alcohol, which serves as an example of data that can be examined from social media sites for further research and prevention campaigns.

New Tobacco and Tobacco-Related Products: Early Detection of Product Development, Marketing Strategies, and Consumer Interest

Background

A wide variety of new tobacco and tobacco-related products have emerged on the market in recent years.

Objective

To understand their potential implications for public health and to guide tobacco control efforts, we have used an infoveillance approach to identify new tobacco and tobacco-related products.

Methods

Our search for tobacco(-related) products consists of several tailored search profiles using combinations of keywords such as “e-cigarette” and “new” to extract information from almost 9000 preselected sources such as websites of online shops, tobacco manufacturers, and news sites.

Results

Developments in e-cigarette design characteristics show a trend toward customization by possibilities to adjust temperature and airflow, and by the large variety of flavors of e-liquids. Additionally, more e-cigarettes are equipped with personalized accessories, such as mobile phones, applications, and Bluetooth. Waterpipe products follow the trend toward electronic vaping. Various heat-not-burn products were reintroduced to the market.

Conclusions

Our search for tobacco(-related) products was specific and timely, though advances in product development require ongoing optimization of the search strategy. Our results show a trend toward products resembling tobacco cigarettes vaporizers that can be adapted to the consumers’ needs. Our search for tobacco(-related) products could aid in the assessment of the likelihood of new products to gain market share, as a possible health risk or as an indicator for the need on independent and reliable information of the product to the general public.

Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint

This viewpoint paper argues that policy interventions can benefit from the continued use of social media analytics, which can serve as an important complement to traditional social science data collection and analysis. Efforts to improve well-being should provide an opportunity to explore these areas more deeply, and encourage the efforts of those conducting national and local data collection on health to incorporate more of these emerging data sources.

Social media remains a relatively untapped source of information to catalyze policy action and social change. However, the diversity of social media platforms and available analysis techniques provides multiple ways to offer insight for policy making and decision making. For instance, social media content can provide timely information about the impact of policy interventions. Social media location information can inform where to deploy resources or disseminate public messaging. Network analysis of social media connections can reveal underserved populations who may be disconnected from public services. Machine learning can help recognize important patterns for disease surveillance or to model population sentiment. To fully realize these potential policy uses, limitations to social media data will need to be overcome, including data reliability and validity, and potential privacy risks.

Traditional data collection may not fully capture the upstream factors and systemic relationships that influence health and well-being. Policy actions and social change efforts, such as the Robert Wood Johnson Foundation’s effort to advance a culture of health, which are intended to drive change in a network of upstream health drivers, will need to incorporate a broad range of behavioral information, such as health attitudes or physical activity levels. Applying innovative techniques to emerging data has the potential to extract insight from unstructured data or fuse disparate sources of data, such as linking health attitudes that are expressed to health behaviors or broader health and well-being outcomes.

Whose Post Is It? Predicting E-cigarette Brand from Social Media Posts

OBJECTIVES

E-cigarette advertisers know that 76% of youth use social media, yet little is known about the nature of e-cigarette advertising on social media most favored by youth. We utilized text-mining to characterize e-cigarette advertising and marketing messages from image-focused social media brand sites, and to construct and test an algorithm for predicting brand from brand-generated social media posts.

METHODS

Data comprised 5022 unique posts accompanied by an image from Facebook, Instagram or Pinterest e-cigarette brand pages for Blu, Logic, Metro, and NJOY from February 2012 to April 2015. Text-tokenization was used to quantify text for use as predictors in analyses.

RESULTS

Blu had the largest social media presence (65%), followed by Logic (16%), NJOY (12%) and Metro (7%). Blu's average post length was significantly shorter than all other brands. Words most commonly used in posts differed by brand. Regression analyses successfully differentiated Blu and NJOY brands from other brands.

CONCLUSIONS

Analyses revealed e-cigarette brands used different types of messages to appeal to social media users. Whereas words used by Blu and NJOY sold a "lifestyle," words used by Logic and Metro relied on device and product identification.

Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study

Background

Although cancer screening reduces morbidity and mortality, millions of people worldwide remain unscreened. Social media provide a unique platform to understand public sentiment toward tools that are commonly used for cancer screening.

Objective

The objective of our study was to examine public sentiment toward colonoscopy, mammography, and Pap smear and how this sentiment spreads by analyzing discourse on Twitter.

Methods

In this observational study, we classified 32,847 tweets (online postings on Twitter) related to colonoscopy, mammography, or Pap smears using a naive Bayes algorithm as containing positive, negative, or neutral sentiment. Additionally, we characterized the spread of sentiment on Twitter using an established model to study contagion.

Results

Colonoscopy-related tweets were more likely to express negative than positive sentiment (negative to positive ratio 1.65, 95% CI 1.51-1.80, P<.001), in contrast to the more positive sentiment expressed regarding mammography (negative to positive ratio 0.43, 95% CI 0.39-0.47, P<.001). The proportions of negative versus positive tweets about Pap smear were not significantly different (negative to positive ratio 0.95, 95% CI 0.87-1.04, P=.18). Positive and negative tweets tended to share lexical features across screening modalities. Positive tweets expressed resonance with the benefits of early detection. Fear and pain were the principal lexical features seen in negative tweets. Negative sentiment for colonoscopy and mammography spread more than positive sentiment; no correlation with sentiment and spread was seen for Pap smear.

Conclusions

Analysis of social media data provides a unique, quantitative framework to better understand the public’s perception of medical interventions that are commonly used for cancer screening. Given the growing use of social media, public health interventions to improve cancer screening should use the health perceptions of the population as expressed in social network postings about tests that are frequently used for cancer screening, as well as other people they may influence with such postings.