Weight Stigma Goes Viral on the Internet: Systematic Assessment of YouTube Comments Attacking Overweight Men and Women

The impact of toxic trolling comments on anti-vaccine YouTube videos

Anti-vaccine trolling on video-hosting websites hinders efforts to increase vaccination rates by using toxic language and threatening claims to intimidate people and promote vaccine hesitancy. However, there is a shortage of research investigating the effects of toxic messages on these platforms. This study focused on YouTube anti-vaccine videos and examined the relationship between toxicity and fear in the comment section of these videos. We discovered that highly liked toxic comments were associated with a significant level of fear in subsequent comments. Moreover, we found complex patterns of contagion between toxicity and fear in the comments. These findings suggest that initial troll comments can evoke negative emotions in viewers, potentially fueling vaccine hesitancy. Our research bears essential implications for managing public health messaging and online communities, particularly in moderating fear-mongering messages about vaccines on social media.

Bystanders' Victim Blaming and Minimizing Consequences of Weight-Based Cyberhate Attacks: The Roles of anti-Fat Attitudes, Body-Positive Online Content, and Gender

Physical appearance and, specifically, weight are common reasons for cyberhate attacks among adolescents. Using a between-subject experimental design, this study focuses on the bystanders of such attacks on Instagram. We investigate bystanders' assessments in the form of two moral disengagement (MD) mechanisms-victim blaming and minimizing consequences-and we compare the assessments of attacks that are diversified by the victim's weight (i.e., a victim who is plus-size and a victim who is thinner). We also examine the moderating roles of bystanders' prejudice against people who are plus-size in the form of the so-called anti-fat attitudes, their frequency of viewing body-positive online content, and gender. The study's data come from an online survey conducted in 2020 with a representative sample of 658 Czech adolescents, aged 13-18. We tested our hypotheses with structural equation modeling. The results show that the two MD mechanisms work differently. The victim's displayed weight affected the bystanders' tendency to victim blame: adolescents blamed the victim who is plus-size more than the victim who is thinner, but the victim's weight made no difference in minimizing the consequences of the incident. A moderating effect for anti-fat attitudes and gender was found for victim blaming. Bystanders with higher anti-fat attitudes and boys blamed the victim who is plus-size more than the victim who is thinner. On the other hand, there was no effect for the frequency of viewing body-positive online content for either of the MD mechanisms. The results are discussed with regard to the differences between the two mechanisms and the practical implications for educational and prevention programs for youth.

Social media and dating app use are differentially related to same- and next-day disordered eating pathology in young men with loss of control eating

OBJECTIVE

To evaluate whether social networking site (SNS) and dating app use is associated with disordered eating in young men.

METHODS

42 men (18-35y) who reported ≥4 loss of control (LOC) eating episodes in the prior month completed a 14-day ecological momentary assessment (EMA) protocol. Five times throughout the day, participants responded to prompts regarding their dietary restraint, body dissatisfaction, and LOC eating. Each night at ~10 pm, participants reported their total time spent on SNSs and dating apps/websites within the last day.

RESULTS

39 out of 42 cisgender men (M_age = 25.1 ± 5.3 years; 47 % non-Hispanic White, 29 % Black or African American; 63 % non-students; 87 % heterosexual) reported using SNSs and/or dating apps. Neither SNS nor dating app use was associated with body dissatisfaction. Dating app use with associated with higher same- (r² equivalent = 0.022, p = .003) and next-day dietary restraint (r² equivalent = 0.016, p = .02); SNS use was not. More SNS use was associated with lower odds of same- (OR [95 % CI] = 0.86 [0.75, 0.99], p = .044) and next-day LOC eating (OR [95 % CI] = 0.82 [0.71, 0.96], p = .011); links with dating app use were non-significant.

DISCUSSION

Non-significant links for SNS and dating app use with body dissatisfaction, and inverse associations with LOC eating, are contrary to research conducted with girls and women. Research is needed to evaluate whether the quality of SNS and dating app engagement (e.g., specific sites) are more closely related to men's disordered eating, and this work should consider muscularity concerns.

Content analysis of social media regarding obesity as a chronic disease

Background

Social media is an effective online communication channel. Obesity has been classified as a chronic disease; yet, social media rarely portrays it as such. This study aims to explore the perception of obesity as a chronic disease through content analysis of social media content of obesity-related health organizations and weight loss commercial applications.

Methods

Using a codebook adapted from the definition of chronic disease, content analysis was conducted to evaluate a set of posts sampled from 11 health-related organizations and 10 weight loss applications Facebook and Twitter accounts. Descriptive statistics were used to assess the extent obesity was portrayed as a chronic disease.

Results

A total of 8,106 posts were extracted: 3,019 posts by organizations and 5,087 by weight loss commercial applications. Only 401 (4.5%) posts/tweets were related to obesity as a chronic disease and were posted by obesity-related health organizations. Only 69 (2.0%) posts from all the organizations' posts directly addressed the idea that obesity is a chronic disease. Almost none of the weight loss commercial apps' social media accounts tackled any aspect of obesity as a disease. Commercial applications' posts revolved mainly around recipes, exercise regimens, and behavioral advice, whereas organizations tackled more complications, treatment, and obesity bias.

Conclusion

Using content analysis of social media content, obesity-related health organizations and weight loss applications did not emphasize obesity as a chronic disease on their social media platforms of Facebook and Twitter. Weight-loss commercial applications on social media should include more posts to modify the public's perception regarding obesity as a disease, contributing to health promotion. Further research should explore other social media platforms and posts with specific hashtags posted by the general population.

Analyzing Public Opinions Regarding Virtual Tourism in the Context of COVID-19: Unidirectional vs. 360-Degree Videos

Over the last few years, more and more people have been using YouTube videos to experience virtual reality travel. Many individuals utilize comments to voice their ideas or criticize a subject on YouTube. The number of replies to 360-degree and unidirectional videos is enormous and might differ between the two kinds of videos. This presents the problem of efficiently evaluating user opinions with respect to which type of video will be more appealing to viewers, positive comments, or interest. This paper aims to study SentiStrength-SE and SenticNet7 techniques for sentiment analysis. The findings demonstrate that the sentiment analysis obtained from SenticNet7 outperforms that from SentiStrength-SE. It is revealed through the sentiment analysis that sentiment disparity among the viewers of 360-degree and unidirectional videos is low and insignificant. Furthermore, the study shows that unidirectional videos garnered the most traffic during COVID-19 induced global travel bans. The study elaborates on the capacity of unidirectional videos on travel and the implications for industry and academia. The second aim of this paper also employs a Convolutional Neural Network and Random Forest for sentiment analysis of YouTube viewers’ comments, where the sentiment analysis output by SenticNet7 is used as actual values. Cross-validation with 10-folds is employed in the proposed models. The findings demonstrate that the max-voting technique outperforms compared with an individual fold.

"We're categorized in these sizes-that's all we are": uncovering the social organization of young women's weight work through media and fashion

Background

For decades, dominant weight discourses have led to physical, mental, and social health consequences for young women in larger bodies. While ample literature has documented why these discourses are problematic, knowledge is lacking regarding how they are socially organized within institutions, like fashion and media, that young women encounter across their lifespan. Such knowledge is critical for those in public health trying to shift societal thinking about body weight. Therefore, we aimed to investigate how young women’s weight work is socially organized by discourses enacted in fashion and media, interpreting work generously as any activity requiring thought or intention.

Methods

Using institutional ethnography, we learned from 14 informants, young women aged 15–21, in Edmonton, Canada about the everyday work of growing up in larger bodies. We conducted 14 individual interviews and five repeated group interviews with a subset (n = 5) of our informants. A collaborative investigation of weight-related YouTube videos (n = 45) elicited further conversations with two informant-researchers about the work of navigating media. Data were integrated and analyzed holistically.

Results

Noticing the perpetual lack of larger women’s bodies in fashion and media, informants learned from an early age that thinness was required for being seen and heard. Informants responded by performing three types of work: hiding their weight, trying to lose weight, and resisting dominant weight discourses. Resistance work was aided by social media, which offered informants a sense of community and opportunities to learn about alternative ways of knowing weight. However, social media alleging body acceptance or positivity content often still focused on weight loss. While informants recognized the potential harm of engagement with commercial weight loss industries like diet and exercise, they felt compelled to do whatever it might take to achieve a “normal woman body”.

Conclusions

Despite some positive discursive change regarding body weight acceptance in fashion and media, this progress has had little impact on the weight work socially expected of young women. Findings highlight the need to broaden public health thinking around how weight discourses are (re)produced, calling for intersectoral collaboration to mobilize weight stigma evidence beyond predominantly academic circles into our everyday practices.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13607-w.

Influence and effects of weight stigmatisation in media: A systematic

BACKGROUND

The lack of a comprehensive understanding of the role of mass media in perpetuating weight stigma hinders policy formulation. We reviewed the influence of mass media on weight stigmatisation and the effectiveness of media-based interventions designed to prevent or reduce stigma.

METHODS

We conducted a systematic review across seven databases from inception to December 2021. Included studies assessed exposure to or impact of weight stigma in mass media or examined interventions to reduce stigma through media in populations 12+ years. We synthesised data narratively, categorising studies based on similarity in focus to produce a set of integrated findings. The systematic review is registered in PROSPERO (No. CRD42020176306).

FINDINGS

One-hundred-and-thirteen records were eligible for inclusion from 2402 identified; 95 examined the prevalence of stigmatising content in mass media and its impact on stigma. Weight stigma was prevalent across media types, with the dominant discourse viewing overweight and obesity as an individual responsibility and overlooking systemic factors. Exposure to stigmatising content was found to negatively influence attitudes towards people with overweight or obesity. Few studies considered methods of reducing stigma in the media, with only two testing media-based interventions; their results were promising but limited.

INTERPRETATION

Weight stigma in media content is prevalent and harmful, but there is little guidance on reducing it. Future research focus needs to shift from assessing prevalence and impacts to weight stigma interventions.

FUNDING

None.

Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review

With increased obesity rates worldwide and the rising popularity in social media usage, we have witnessed a growth in hate speech towards fat/obese people. The severity of hate content has prompted researchers to study public perceptions that give rise to fat stigma from social media discourses. This article presents a systematic literature review of recent literature published in this domain to gauge the current state of research and identify possible research gaps. We have examined existing research (i.e., peer-reviewed articles that were systematically included using the EBSCO discovery service) to study their methodological aspects by reviewing their context, domain, analytical methods, techniques, tools, features and limitations. Our findings reveal that while recent studies have explored fat stigma content in social media, these mostly acquired manual analytical methods regardless of the evolved machine learning, natural language processing and deep learning methods. Although fat stigma in social media has gained enormous attention in current socio-psychological research, there exists a gap between how such research is conducted and what technologies are being applied, which limits in-depth investigations of fat stigma discussions.

Nutrition-Related Information Shared by Latine Influencers: A YouTube Content Analysis

Latines are the fastest growing populace in the United States. Latine is a new, inclusive term for Hispanic and Latino populations regardless of gender identity. When compared with non-Latine counterparts, Latines have higher prevalence rates of obesity, diabetes, chronic liver disease, and kidney disease, which are associated with poor dietary behaviors. More research is warranted into the factors behind Latines' understanding of nutrition and potential sources of health information that influence dietary behaviors. This study describes the nutrition-related health information shared through YouTube by English-speaking Latine individuals between the ages of 18 and 49. For this content analysis, a cross-sectional study design was used. A four-step search strategy identified eligible YouTube channels and their corresponding video blogs (vlogs): discovery, screening, eligibility, and included. NVivo 1.0 was used to qualitatively code the nutrition-related information. A total of 68 vlogs were identified and reviewed. Five main themes emerged from the data (what vloggers discussed): Nutrition Philosophies, Inaccurate Information, Product Promotion, Recommendations based on the 2020-2025 Dietary Guidelines for Americans (DGA), and Recommendations not based on the 2020-2025 DGA. Although some of the nutrition-related information shared followed the 2020-2025 DGA, not all information were in line with these guidelines. Misinformation can undermine the scientific work done by health professionals and can threaten the health and lives of the citizenry by creating barriers for accessing, understanding, and utilizing evidenced-informed guidance in making health decisions. This study revealed that more research is warranted into specific aspects of social media and how they influence health behavior.

Weight stigma, policy initiatives, and harnessing social media to elevate activism

Efforts to promote positive body image and body acceptance confront considerable challenges in the face of pervasive societal stigma against people who have a high body weight or large body size. Despite decades of evidence documenting the prevalence and harmful consequences of weight stigma and discrimination, policies to address this social injustice are lacking and primarily absent. This article summarizes the current status of policies to address societal weight-based mistreatment and highlights evidence documenting public support for different types of policies and laws that could be implemented to reduce weight-based bullying and discrimination. While considerable public policy support is present, efforts to scale up activism are needed to help curtail societal weight stigma. Social media has been an underutilized approach that could provide a powerful platform to elevate public awareness and promote policy change to help eliminate weight stigma.

Fat stigma and body objectification: A text analysis approach using social media content

This study investigates how female and male genders are positioned in fat stigmatising discourses that are being conducted over social media. Weight-based linguistic data corpus, extracted from three popular social media (SM) outlets, Twitter, YouTube and Reddit, was examined for fat stigmatising content. A mixed-method analysis comprising sentiment analysis, word co-occurrences and qualitative analysis, assisted our investigation of the corpus for body objectification themes and gender-based differences. Objectification theory provided the underlying framework to examine the experiential consequences of being fat across both genders. Five objectifying themes, namely, attractiveness, physical appearance, lifestyle choices, health and psychological well-being, emerged from the analysis. A deeper investigation into more facets of the social interaction data revealed overall positive and negative attitudes towards obesity, which informed on existing notions of gendered body objectification and weight/fat stigmatisation. Our findings have provided a holistic outlook on weight/fat stigmatising content that is posted online which can further inform policymakers in planning suitable props to facilitate more inclusive SM spaces. This study showcases how lexical analytics can be conducted by combining a variety of data mining methods to draw out insightful subject-related themes that add to the existing knowledge base; therefore, has both practical and theoretical implications.

Weight Stigma and Social Media: Evidence and Public Health Solutions

Weight stigma is a pressing issue that affects individuals across the weight distribution. The role of social media in both alleviating and exacerbating weight bias has received growing attention. On one hand, biased algorithms on social media platforms may filter out posts from individuals in stigmatized groups and concentrate exposure to content that perpetuates problematic norms about weight. Individuals may also be more likely to engage in attacks due to increased anonymity and lack of substantive consequences online. The critical influence of social media in shaping beliefs may also lead to the internalization of weight stigma. However, social media could also be used as a positive agent of change. Movements such as Body Positivity, the Fatosphere, and Health at Every Size have helped counter negative stereotypes and provide more inclusive spaces. To support these efforts, governments should continue to explore legislative solutions to enact anti-weight discrimination policies, and platforms should invest in diverse content moderation teams with dedicated weight bias training while interrogating bias in existing algorithms. Public health practitioners and clinicians should leverage social media as a tool in weight management interventions and increase awareness of stigmatizing online content among their patients. Finally, researchers must explore how experiences of stigma differ across in-person and virtual settings and critically evaluate existing research methodologies and terminology. Addressing weight stigma on social media will take a concerted effort across an expansive set of stakeholders, but the benefits to population health are consequential and well-worth our collective attention.

Weight Bias and Stigma: Impact on Health

Weight bias and stigma exist in a variety of realms in our society (media, education, employment, and health care), and unfortunately many view it as a socially acceptable form of discrimination. Patients with obesity often avoid scheduling appointments for health promotion visits and routine care due to perceived weight bias and stigma from their health care provider. Within the health care setting, it is important that health care providers strategically focus on reducing obesity bias and provide high-quality obesity management. People-first language should be used and waiting rooms and examination rooms should be accommodating to people of all sizes.

Cyberbullying and Obesity in Adolescents: Prevalence and Associations in Seven European Countries of the EU NET ADB Survey

Background: overweight and obese individuals may often face aggressive messages or comments on the internet. This study attempts to evaluate the association between cyberbullying victimization and overweight/obesity in adolescents participating in the European Network for Addictive Behavior (EU NET ADB) survey. Methods: a school-based cross-sectional study of adolescents aged 14–17.9 years was conducted (n = 8785) within the EU NET ADB survey, including data from seven European countries (Germany, Greece, Iceland, the Netherlands, Romania, Poland, Spain). Complex samples and univariate and multivariate logistic regression analyses were performed. Results: overall, overweight adolescents were more likely to have been cyberbullied compared to their normal weight peers (adjusted OR (Odds ratio) = 1.20, CI (confidence intervals): 1.01–1.42); this association was pronounced in Germany (adjusted OR = 1.58, CI: 1.11–2.25). In Iceland, obese adolescents reported cyberbullying victimization more frequently compared to their normal weight peers (adjusted OR = 2.87, 95% CI: 1.00–8.19). No significant associations with cyberbullying victimization were identified either for obese or overweight adolescents in Greece, Spain, Romania, Poland, and the Netherlands. Conclusions: this study reveals an overall association between cyberbullying victimization and overweight on the basis of a sizable, representative sample of adolescent population from seven European countries. Country-specific differences might reflect differential behavioral perceptions, but also normalization aspects.

Aggression in the Digital Era: Assessing the Validity of the Cyber Motivations for Aggression and Deviance Scale

Empirical studies of adult cyber-aggression are sparse, partly due to a lack of validated assessments. We evaluated a new measure, the Cyber Motivations for Aggression and Deviance (Cyber-MAD) scale, designed to assess the motivations of adult cyber-aggression. Psychometric properties and factor structure were examined across three adult samples who regularly used the internet and reported a history of cyber-aggression. Exploratory and confirmatory factor analysis of the motivations for cyber-aggression indicated an eight-factor model best fit the data, with separable factors emerging for cyber-aggression motivated by a desire to affiliate with others (Social Bonding), advance or defend political/social issues (Social Activism), act on angry feelings (Reactive Aggression), cope with relationship stress (Interpersonal Distress), satisfy impulsive urges (Impulsivity), adopt a new online persona (Virtual Dissociation), experience excitement (Thrill-Seeking), and seek revenge (Vengeance). Overall, the Cyber-MAD scale showed good internal consistency, structural stability across samples, and construct validity, supporting its initial validation.

Problematic Use of Internet-Related Activities and Perceived Weight Stigma in Schoolchildren: A Longitudinal Study Across Different Epidemic Periods of COVID-19 in China

Background: Social distancing and school suspension due to the coronavirus pandemic (COVID-19) may have a negative impact on children's behavior and well-being. Problematic smartphone use (PSU), problematic social media use (PSMU) and perceived weight stigma (PWS) are particularly important issues for children, yet we have a poor understanding of how these may have been affected by lockdowns and physical isolation resulting from COVID-19. This research aimed to understand how these psychosocial and behavioral variables may be associated with psychological distress, and how these associations may have changed during the COVID-19 pandemic. Methods: A total of 489 children completed a three-wave longitudinal study from January 2020 to June 2020. The first wave was conducted before the COVID-19 outbreak. The second wave was conducted during the outbreak. The third wave was conducted during post-COVID-19 lockdown. Questionnaires measured psychological distress, PSU, PSMU, and PWS. Results: PSU, PSMU, PWS and psychological distress were all significantly associated with each other. PSU was significantly higher during outbreak. PWS was significantly higher before outbreak. We found an increased association between PSMU and PWS across three waves in all three models. The association between PSU and depression/anxiety decreased across three waves; however, association between PSMU and depression/anxiety increased across three waves. Conclusions: COVID-19 initiated school suspension and associated lockdowns appear to have exacerbated PSU and depression among children. However, PWS was reduced during this period. Children should use smartphones and social media safely and cautiously, and be aware of the potential exposure to weight stigmatization.

[Unintended consequences and side effects of digital health technology: a public health perspective]

The discussion of digital health technologies, in particular medical and health apps, is currently dominated by a focus on their potential to reach large parts of the population for the dissemination of evidence-based health promotion and prevention content. However, potentially unintended consequences, side effects, and negative effects of digital health technologies are rarely discussed in public health.In this paper, via a narrative literature review, we propose a perspective on unintended consequences and side-effects of digital health technologies on multiple hierarchical levels of a socio-ecological model of health. Unintended consequences and side-effects of digital health technologies can be identified on an individual level, a level of social relationships, and a health services level.We propose a broader conceptualization of unintended consequences and side-effects of digital health technology together with a more thorough documentation of such effects using multiple levels in a socio-ecological approach. This would build a cumulative evidence base of unintended effects and shift the focus from development-centered discussion of risks and challenges to a comprehensive conception of side effects and undesirable effects of digital health technologies. The proposed division into three effect levels may be helpful here.

Mukbang and Disordered Eating: A Netnographic Analysis of Online Eating Broadcasts

Mukbang is a recent Internet phenomenon in which video recordings of hosts eating large amounts of food are streamed on an online video platform. It originated in South Korea around 2014 and has since become a global trend. The aim of this study was to explore how viewers of mukbang videos relate their audience experiences to symptoms of disordered eating. A qualitative analysis of YouTube comments and Reddit posts on the topic of mukbang and disordered eating was performed, employing a netnographic approach. Two overarching themes were identified: a viewer perspective, by which users discuss mukbang without describing any personal involvement, and a participant perspective, by which users describe their own experiences of affects and behaviors in response to watching mukbang. Several topical categories emerged, describing how watching mukbang can both limit and increase eating, reduce loneliness and guilt, and become self-destructive. For some, mukbang appears to be a constructive tool in increasing food intake, preventing binge eating, or reducing loneliness; for others, it is clearly a destructive force that may motivate restrictive eating or trigger a relapse into loss-of-control eating. Notably, watching mukbang is not necessarily experienced as either helpful or destructive, but instead as simultaneously useful and hurtful.

Weight stigma and its impact on paediatric care

PURPOSE OF REVIEW

This review aims to evaluate current research findings relevant to weight stigmatization, to acknowledge the deleterious impact it has on the health of the paediatric population and to provide insight to optimize future guidelines for the treatment of individuals with overweight and obesity.

RECENT FINDINGS

Obesity prevalence continues to rise in the USA with estimates in children from ages 2-19 years of 18.5%, an all-time high. With the increase in obesity, there has been a concomitant increase in weight stigma, which affects both youth and general population across varied levels of socioeconomic status and body sizes.

SUMMARY

Weight stigma is a contributing phenomenon to the current obesity epidemic, as individuals with stigmatized experiences (weight-based teasing, bullying, victimization) have increased risks for acquiring adverse health outcomes that encompass the physical, behavioural and psychological. Weight stigma can also lead affected individuals to internalize such experiences which decrease their overall quality of life. Sources of stigma may come from peers, family, educators, media, as well as healthcare professionals, as highlighted in this review. Efforts to establish prevention and treatment strategies for weight stigma may generate further traction to help improve global obesity rates. VIDEO ABSTRACT.