Obesity in social media: a mixed methods analysis

The escalating obesity rate in the USA has made obesity prevention a top public health priority. Recent interventions have tapped into the social media (SM) landscape. To leverage SM in obesity prevention, we must understand user-generated discourse surrounding the topic. This study was conducted to describe SM interactions about weight through a mixed methods analysis. Data were collected across 60 days through SM monitoring services, yielding 2.2 million posts. Data were cleaned and coded through Natural Language Processing (NLP) techniques, yielding popular themes and the most retweeted content. Qualitative analyses of selected posts add insight into the nature of the public dialogue and motivations for participation. Twitter represented the most common channel. Twitter and Facebook were dominated by derogatory and misogynist sentiment, pointing to weight stigmatization, whereas blogs and forums contained more nuanced comments. Other themes included humor, education, and positive sentiment countering weight-based stereotypes. This study documented weight-related attitudes and perceptions. This knowledge will inform public health/obesity prevention practice.

[1]  R. Puhl,et al.  Headless, Hungry, and Unhealthy: A Video Content Analysis of Obese Persons Portrayed in Online News , 2013, Journal of health communication.

[2]  Kristen Harrison,et al.  Television Viewing, Fat Stereotyping, Body Shape Standards, and Eating Disorder Symptomatology in Grade School Children , 2000, Commun. Res..

[3]  M ChristophersonKimberly.  The positive and negative implications of anonymity in Internet social interactions , 2007 .

[4]  Gregory Fouts,et al.  Television Situation Comedies: Female Weight, Male Negative Comments, and Audience Reactions , 2000 .

[5]  H. Klein,et al.  Thin is “in” and stout is “out”: What animated cartoons tell viewers about body weight , 2005, Eating and weight disorders : EWD.

[6]  Justin W. Patchin,et al.  Bullying, Cyberbullying, and Suicide , 2010, Archives of suicide research : official journal of the International Academy for Suicide Research.

[7]  Chelsea A. Heuer,et al.  Obesity stigma: important considerations for public health. , 2010, American journal of public health.

[8]  Nathan K. Cobb,et al.  Social Influence as a Driver of Engagement in a Web-Based Health Intervention , 2012, Journal of medical Internet research.

[9]  E. Rothblum,et al.  Is Fat a Feminist Issue? Exploring the Gendered Nature of Weight Bias , 2012 .

[10]  K. Brownell,et al.  Bias, discrimination, and obesity. , 2001, Obesity research.

[11]  Azy Barak,et al.  Effects of anonymity, invisibility, and lack of eye-contact on toxic online disinhibition , 2012, Comput. Hum. Behav..

[12]  L. Major.  Break it to Me Harshly: The Effects of Intersecting News Frames in Lung Cancer and Obesity Coverage , 2009, Journal of health communication.

[13]  Jina H. Yoo,et al.  Obesity in the New Media: A Content Analysis of Obesity Videos on YouTube , 2012, Health communication.

[14]  M. Hussin,et al.  Fat stigmatization on YouTube: a content analysis. , 2011, Body image.

[15]  R. Carels,et al.  The Effects of Reality Television on Weight Bias: An Examination of The Biggest Loser , 2012, Obesity.

[16]  S. Austin,et al.  Body Satisfaction, Weight Gain, and Binge Eating Among Overweight Adolescent Girls , 2012, International Journal of Obesity.

[17]  Sherry L Pagoto,et al.  The adoption and spread of a core-strengthening exercise through an online social network. , 2014, Journal of physical activity & health.

[18]  J. Latner,et al.  Childhood obesity stigma: association with television, videogame, and magazine exposure. , 2007, Body image.

[19]  P. Komesaroff,et al.  "Cheapening the Struggle:" Obese People's Attitudes Towards The Biggest Loser , 2007 .

[20]  Regan A. R. Gurung,et al.  A Facebook analysis of helping behavior in online bullying. , 2013 .

[21]  Andrew J. Flanagin,et al.  Reconceptualizing ‘flaming’ and other problematic messages , 2003, New Media Soc..

[22]  T. Wadden,et al.  The influence of the stigma of obesity on overweight individuals , 2004, International Journal of Obesity.

[23]  K. Brownell,et al.  Confronting and Coping with Weight Stigma: An Investigation of Overweight and Obese Adults , 2006, Obesity.

[24]  John Suler,et al.  The Online Disinhibition Effect , 2004, Cyberpsychology Behav. Soc. Netw..

[25]  D. Neumark-Sztainer,et al.  Teasing, Disordered Eating Behaviors, and Psychological Morbidities Among Overweight Adolescents , 2008, Obesity.

[26]  Kevin O. Hwang,et al.  Website Usage and Weight Loss in a Free Commercial Online Weight Loss Program: Retrospective Cohort Study , 2013, Journal of medical Internet research.

[27]  P. Zimbardo.  The human choice: Individuation, reason, and order versus deindividuation, impulse, and chaos. , 1969 .

[28]  Elmer V. Bernstam,et al.  Structural social support predicts functional social support in an online weight loss programme , 2014, Health expectations : an international journal of public participation in health care and health policy.

[29]  D. Castle,et al.  ‘I’m searching for solutions’: why are obese individuals turning to the Internet for help and support with ‘being fat’? , 2011, Health expectations : an international journal of public participation in health care and health policy.

[30]  Laurie A. Rudman,et al.  Minority Members' Implicit Attitudes: Automatic Ingroup Bias As A Function Of Group Status , 2002 .

[31]  Jina H. Yoo.  No Clear Winner: Effects of The Biggest Loser on the Stigmatization of Obese Persons , 2013, Health communication.

[32]  E. Storch,et al.  Peer Victimization in Youth with Autism Spectrum Disorders and Co-occurring Anxiety: Relations with Psychopathology and Loneliness , 2012 .

[33]  K. Brownell,et al.  Psychosocial origins of obesity stigma: toward changing a powerful and pervasive bias , 2003, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[34]  Kate Holland,et al.  The Role of the Fatosphere in Fat Adults’ Responses to Obesity Stigma , 2011, Qualitative health research.

[35]  W. Chou,et al.  Social Media Use in the United States: Implications for Health Communication , 2009, Journal of medical Internet research.

[36]  J. Thompson,et al.  Weight Bias in the Media: A Review of Recent Research , 2010, Obesity Facts.

[37]  L. Vartanian.  Disgust and perceived control in attitudes toward obese people , 2010, International Journal of Obesity.

[38]  W. Chou,et al.  Web 2.0 for health promotion: reviewing the current evidence. , 2013, American journal of public health.

[39]  Michele L. Ybarra,et al.  Youth engaging in online harassment: associations with caregiver-child relationships, Internet use, and personal characteristics. , 2004, Journal of adolescence.

[40]  Talking about Obesity: News Framing of Who Is Responsible for Causing and Fixing the Problem , 2007 .

[41]  N. Smith,et al.  Managing a marginalised identity in pro-anorexia and fat acceptance cybercommunities , 2015 .

[42]  Kimberly M. Christopherson.  The positive and negative implications of anonymity in Internet social interactions: "On the Internet, Nobody Knows You're a Dog" , 2007, Comput. Hum. Behav..

[43]  Chelsea A. Heuer,et al.  The Stigma of Obesity: A Review and Update , 2009, Obesity.

[44]  Negative affect as a mediator of the relationship between weight-based teasing and binge eating in adolescent girls. , 2008, Eating behaviors.

[45]  Kenneth A. Lachlan,et al.  Portrayals of overweight and obese individuals on commercial television. , 2003, American journal of public health.

[46]  S. Kiesler,et al.  Connections: New Ways of Working in the Networked Organization. , 1992 .

[47]  R. Puhl,et al.  Public reactions to obesity-related health campaigns: a randomized controlled trial. , 2013, American journal of preventive medicine.

[48]  Elmer V. Bernstam,et al.  Social support in an Internet weight loss community , 2010, Int. J. Medical Informatics.

[49]  Kevin O. Hwang,et al.  Measuring Social Support for Weight Loss in an Internet Weight Loss Community , 2011, Journal of health communication.