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Large Language Models Help Reveal Unhealthy Diet and Body Concerns in Online Eating Disorders Communities (2401.09647v2)

Published 17 Jan 2024 in cs.SI, cs.CL, and cs.CY

Abstract: Eating disorders (ED), a severe mental health condition with high rates of mortality and morbidity, affect millions of people globally, especially adolescents. The proliferation of online communities that promote and normalize ED has been linked to this public health crisis. However, identifying harmful communities is challenging due to the use of coded language and other obfuscations. To address this challenge, we propose a novel framework to surface implicit attitudes of online communities by adapting LLMs to the language of the community. We describe an alignment method and evaluate results along multiple dimensions of semantics and affect. We then use the community-aligned LLM to respond to psychometric questionnaires designed to identify ED in individuals. We demonstrate that LLMs can effectively adopt community-specific perspectives and reveal significant variations in eating disorder risks in different online communities. These findings highlight the utility of LLMs to reveal implicit attitudes and collective mindsets of communities, offering new tools for mitigating harmful content on social media.

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References (56)
  1. Komal Bhatia Alexandra Dane. 2023. The social media diet: A scoping review to investigate the association between social media, body image and eating disorders amongst young people. PLOS Global Public Health 3, 3 (2023), e0001091. https://doi.org/10.1371/journal.pgph.0001091
  2. Anorexia nervosa and social contagion: clinical implications. Australian & New Zealand Journal of Psychiatry 48, 2 (2014), 116–120.
  3. Prevalence of pediatric acute-onset neuropsychiatric syndrome (PANS) in children and adolescents with eating disorders. Journal of Eating Disorders 10, 1 (2022), 194.
  4. Alexander TJ Barron and Johan Bollen. 2022. Quantifying collective identity online from self-defining hashtags. Scientific Reports 12, 1 (2022), 15044.
  5. Bad is stronger than good. Review of general psychology 5, 4 (2001), 323–370.
  6. Anne E Becker. 2004. Television, disordered eating, and young women in Fiji: Negotiating body image and identity during rapid social change. Culture, medicine and psychiatry 28 (2004), 533–559.
  7. Radicalization leading to violence: A test of the 3N model. Frontiers in psychiatry 10 (2019), 42.
  8. Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008, 10 (Oct. 2008), P10008. https://doi.org/10.1088/1742-5468/2008/10/p10008
  9. “This Post Will Just Get Taken Down”’ Characterizing Removed Pro-Eating Disorder Social Media Content. In CHI. 1157–1162.
  10. Quantifying and predicting mental illness severity in online pro-eating disorder communities. In CSCW. 1171–1184.
  11. Recovery amid pro-anorexia: Analysis of recovery in social media. In Proceedings of the 2016 CHI conference on human factors in computing systems. 2111–2123.
  12. # justiceforgeorgefloyd: How Instagram Facilitated the 2020 Black Lives Matter Protests. PLoS one 17, 12 (2022), e0277864.
  13. Leveraging label correlations in a multi-label setting: A case study in emotion. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 1–5.
  14. Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1–5. https://doi.org/10.1109/ICASSP49357.2023.10095597
  15. Addressing health-related misinformation on social media. Jama 320, 23 (2018), 2417–2418.
  16. The perfect storm: A developmental–sociocultural framework for the role of social media in adolescent girls’ body image concerns and mental health. Clinical Child and Family Psychology Review 25, 4 (2022), 681–701.
  17. The echo chamber effect on social media. PNAS 118, 9 (2021), e2023301118.
  18. Qlora: Efficient finetuning of quantized llms. arXiv preprint arXiv:2305.14314 (2023).
  19. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).
  20. Jasmine Fardouly and Lenny R Vartanian. 2016. Social media and body image concerns: Current research and future directions. Current opinion in psychology 9 (2016), 1–5.
  21. Retweet: A popular information diffusion mechanism – A survey paper. Online Social Networks and Media 6 (2018), 26–40. https://doi.org/10.1016/j.osnem.2018.04.001
  22. Prevalence of eating disorders over the 2000-2018 period: a systematic literature review. The American journal of clinical nutrition 109, 5 (2019), 1402–1413.
  23. Debbie Ging and Sarah Garvey. 2018. ‘Written in these scars are the stories I can’t explain’: A content analysis of pro-ana and thinspiration image sharing on Instagram. New Media & Society 20 (3 2018), 1181–1200. Issue 3.
  24. Online Communities of Adolescents and Young Adults Celebrating, Glorifying, and Encouraging Self-Harm and Suicide are Growing Rapidly on Twitter. Technical Report. NCRI.
  25. The dangers of the rabbit hole: Reflections on social media as a portal into a distorted world of edited bodies and eating disorder risk and the role of algorithms. Body Image 41 (2022), 292–297.
  26. Sydney M. Hartman-Munick et al. 2022. Association of the COVID-19 Pandemic With Adolescent and Young Adult Eating Disorder Care Volume. JAMA Pediatrics 176, 12 (12 2022), 1225–1232. https://doi.org/10.1001/jamapediatrics.2022.4346
  27. Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. In Findings of the Association for Computational Linguistics: EMNLP 2021. 2102–2118.
  28. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics. 6818–6826.
  29. Pro-eating disorder communities on social networking sites: a content analysis. Eating disorders 18, 5 (2010), 393–407.
  30. The Psychology of Radicalization and Deradicalization: How Significance Quest Impacts Violent Extremism. Political Psychology 35 (2 2014), 69–93.
  31. Terrorism and conspiracy theories: A view from the 3N model of radicalization. Current Opinion in Psychology 47 (10 2022), 101396.
  32. Men, muscles, and eating disorders: an overview of traditional and muscularity-oriented disordered eating. Current psychiatry reports 19 (2017), 1–7.
  33. The pursuit of wellness: Social media, body image and eating disorders. Children and youth services review 119 (2020), 105659.
  34. Abby McCormack. 2010. Individuals With Eating Disorders and the Use of Online Support Groups as a Form of Social Support. CIN: Computers, Informatics, Nursing 28 (1 2010), 12–19. Issue 1.
  35. Psychological Impact of Pro-Anorexia and Pro-Eating Disorder Websites on Adolescent Females: A Systematic Review. International Journal of Environmental Research and Public Health 18 (2 2021), 2186. Issue 4.
  36. Rethinking the role of demonstrations: What makes in-context learning work? arXiv preprint arXiv:2202.12837 (2022).
  37. Impact of the COVID-19 pandemic on disordered eating behavior: Qualitative analysis of social media posts. JMIR mental health 8, 1 (2021), e26011.
  38. Proanorexia communities on social media. Pediatrics 137, 1 (2016).
  39. Training language models to follow instructions with human feedback, 2022. URL https://arxiv. org/abs/2203.02155 13 (2022).
  40. Social media and eating disorder psychopathology: a systematic review. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 15(3) (2021). https://doi.org/10.5817/CP2021-3-6
  41. Jessica Pater and Elizabeth Mynatt. 2017. Defining digital self-harm. In CSCW. 1501–1513.
  42. “Hunger Hurts but Starving Works” Characterizing the Presentation of Eating Disorders Online. In CSCW. 1185–1200.
  43. Francesca Polletta and James M Jasper. 2001. Collective identity and social movements. Annual review of Sociology 27, 1 (2001), 283–305.
  44. Lakshmi Radhakrishnan. 2022. Pediatric emergency department visits associated with mental health conditions before and during the COVID-19 pandemic—United States, January 2019–January 2022. MMWR. Morbidity and mortality weekly report 71 (2022).
  45. Echo chambers, filter bubbles, and polarisation: A literature review. (2022).
  46. Alyssa N. Saiphoo and Zahra Vahedi. 2019. A meta-analytic review of the relationship between social media use and body image disturbance. Computers in Human Behavior 101 (12 2019), 259–275.
  47. Sara Santarossa and Sarah J. Woodruff. 2017. #SocialMedia: Exploring the Relationship of Social Networking Sites on Body Image, Self-Esteem, and Eating Disorders. Social Media + Society 3, 2 (2017), 2056305117704407. https://doi.org/10.1177/2056305117704407 arXiv:https://doi.org/10.1177/2056305117704407
  48. Quantifying how hateful communities radicalize online users. In ASONAM. IEEE, 139–146.
  49. Disinformation as collaborative work: Surfacing the participatory nature of strategic information operations. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–26.
  50. Examining the Pro-Eating Disorders Community on Twitter Via the Hashtag #proana: Statistical Modeling Approach. JMIR Mental Health 8 (7 2021), e24340. Issue 7.
  51. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023).
  52. Daphne van Hoeken and Hans W. Hoek. 2020. Review of the burden of eating disorders: mortality, disability, costs, quality of life, and family burden. Current Opinion in Psychiatry 33 (11 2020), 521–527. Issue 6.
  53. Identifying and characterizing behavioral classes of radicalization within the QAnon conspiracy on Twitter. In ICWSM.
  54. Social interactions in online eating disorder communities: A network perspective. PloS one 13, 7 (2018), e0200800.
  55. Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems 35 (2022), 24824–24837.
  56. Daphna Yeshua-Katz and Nicole Martins. 2013. Communicating Stigma: The Pro-Ana Paradox. Health Communication 28, 5 (2013), 499–508.

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