{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T16:07:05Z","timestamp":1791216425902,"version":"4.1.0"},"reference-count":9,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["APP1196948"],"award-info":[{"award-number":["APP1196948"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl J Eating Disorders"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>As generative AI becomes more widely adopted for mental health support and information, concerns exist about its potential to depict psychiatric illnesses in stereotypical ways. This Spotlight investigates how ChatGPT\u20105 visually represents eating disorders and whether prompt\u2010based manipulations can generate more inclusive outputs, with the goal of laying a roadmap for future research to ensure these technologies are applied in safe, ethical, and clinically responsive ways.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>ChatGPT\u20105 was prompted to generate images depicting anorexia nervosa, bulimia nervosa, binge\u2010eating disorder, and body image difficulties. A standard one\u2010shot prompt asked the model to create an artistic, realistic, fictional image of the specified condition. The model was then re\u2010tasked to generate multiple images per condition using two approaches: (1) standard prompts and (2) prompts explicitly instructing variation in age, gender, ethnicity, and body type. Outputs were visually compared to evaluate whether bias\u2010reducing instructions produced more inclusive and diverse depictions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Standard prompts produced images that reinforced conventional stereotypes, depicting eating disorders largely through young, White, female figures with either emaciated (for anorexia nervosa) or overweight (for binge\u2010eating disorder and body image difficulties) body types. Minimal change was observed with single bias\u2010reducing prompts. In contrast, generating multiple images with explicit diversity instructions produced noticeably more inclusive representations, featuring variation in age, gender and ethnicity, although some stereotypical features persisted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>ChatGPT\u20105's depictions of eating disorders rely on stereotypical templates by default. However, prompting the model to generate multiple images with explicit demographic diversity instructions improved representational inclusivity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/eat.70005","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T06:48:32Z","timestamp":1763534912000},"page":"450-455","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Generative\n                    <scp>AI<\/scp>\n                    and Eating Disorders: Exposing Stereotypes in Image Depictions and Setting a Research Agenda"],"prefix":"10.1111","volume":"59","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4475-7139","authenticated-orcid":false,"given":"Jake","family":"Linardon","sequence":"first","affiliation":[{"name":"SEED Lifespan Strategic Research Centre, School of Psychology, Faculty of Health Deakin University  Geelong Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,11,18]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/00220221211017664"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjment-2024-301298"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bodyim.2016.02.008"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/wps.21352"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/eat.24385"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/eat.24543"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chc.2021.09.004"},{"key":"e_1_2_13_9_1","unstructured":"TechCrunch.2025.\u201cOpenAI Says ChatGPT Is on Track to Reach 700M Weekly Users.\u201dhttps:\/\/techcrunch.com\/2025\/08\/04\/openai\u2010says\u2010chatgpt\u2010is\u2010on\u2010track\u2010to\u2010reach\u2010700m\u2010weekly\u2010users\/."},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/eat.23198"}],"container-title":["International Journal of Eating Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/eat.70005","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/eat.70005","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/eat.70005","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T05:38:53Z","timestamp":1773293933000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/eat.70005"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,18]]},"references-count":9,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["10.1111\/eat.70005"],"URL":"https:\/\/doi.org\/10.1111\/eat.70005","archive":["Portico"],"relation":{},"ISSN":["0276-3478","1098-108X"],"issn-type":[{"value":"0276-3478","type":"print"},{"value":"1098-108X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,18]]},"assertion":[{"value":"2025-09-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-10","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}