{"688487":{"#nid":"688487","#data":{"type":"news","title":"New Study Could Show How TikTok\u2019s Algorithm Affects Youth Mental Health","body":[{"value":"\u003Cdiv\u003E\u003Cdiv\u003E\u003Cp\u003EMeta CEO Mark Zuckerberg\u0026nbsp;\u003Ca href=\u0022https:\/\/www.latimes.com\/california\/story\/2026-02-18\/mark-zuckerberg-tesimony-la-social-media-trial?utm_source=chatgpt.com\u0022\u003E\u003Cstrong\u003Etook the witness stand\u003C\/strong\u003E\u003C\/a\u003E last week in Los Angeles County Superior Court to defend his company from accusations that social media harms children.\u003C\/p\u003E\u003Cp\u003EA lawsuit filed by a 20-year-old plaintiff alleges Instagram and other social media apps are designed to make young users addicted to their platforms.\u003C\/p\u003E\u003Cp\u003EMeanwhile, social media experts believe the algorithms that drive content on these platforms play a role in hooking users and keeping them scrolling for extensive periods of time.\u003C\/p\u003E\u003Cp\u003EA new study led by Georgia Tech might confirm this suspicion.\u003C\/p\u003E\u003Cp\u003EUsing recently acquired data from more than 10,000 adolescent users,\u0026nbsp;\u003Ca href=\u0022http:\/\/www.munmund.net\/\u0022\u003E\u003Cstrong\u003EMunmun De Choudhury\u003C\/strong\u003E\u003C\/a\u003E will audit TikTok\u2019s recommendation algorithm and study its impact on young people\u2019s behavior and mental health.\u003C\/p\u003E\u003Cp\u003EDe Choudhury is leading a multi-institutional research team on a four-year, $1.7 million grant from the Huo Family Foundation.\u003C\/p\u003E\u003Cp\u003E\u201cWe hope to learn the different types of negative exposures that young people experience when using TikTok,\u201d De Choudhury said. \u201cThis can help us characterize what they\u2019re watching and build computational methods to understand the consumption behaviors of these participants and how they\u2019re affected by the algorithm.\u201d\u003C\/p\u003E\u003Cp\u003EDe Choudhury, a professor in Georgia Tech\u2019s School of Interactive Computing, is collaborating with Amy Orben, a professor at the University of Cambridge, and Homa Hosseinmardi, an assistant professor at UCLA, on the project.\u003C\/p\u003E\u003Cp\u003ESocial media platforms have become increasingly reluctant to share their data in recent years, posing a challenge for researchers like De Choudhury.\u003C\/p\u003E\u003Cp\u003E\u201cWe can\u2019t do the type of studies we did 10 years ago with X (formerly Twitter) because the API is much more restrictive,\u201d she said. \u201cThere are limited ways to programmatically access people\u2019s data now.\u003C\/p\u003E\u003Cp\u003E\u201cWe must go through a tedious, manual process to get around declining access to social media data. This data-gathering process is essential given the sensitive nature of mental health research. You want data that is shared with consent.\u201d\u003C\/p\u003E\u003Cp\u003EOrben collected TikTok data from more than 10,000 young people in the UK who consented to provide their personal data archives in accordance with the European Union\u2019s General Data Protection Regulation (GDPR).\u003C\/p\u003E\u003Cp\u003EThe collected data includes watch histories, which De Choudhury said distinguishes this research from other social media studies that focus on what users post.\u003C\/p\u003E\u003Cp\u003E\u201cWe don\u2019t understand passive social media consumption very well, so we hope to close that gap and learn what that looks like,\u201d she said. \u201cThat could complement or contrast what we know about people\u2019s active engagement on these platforms. Is what they\u2019re consuming directly related to what they\u2019re posting? How does passive consumption affect young people\u2019s mental health?\u201d\u003C\/p\u003E\u003Cp\u003EA clearer picture of how algorithm-based content affects young people could result in design interventions to minimize negative effects. De Choudhury said studying data from young people is critical because it\u2019s not too late to steer them away from unhealthy behavioral patterns.\u003C\/p\u003E\u003Cp\u003E\u201cSome of the earliest signs or symptoms of mental health conditions appear in adolescence,\u201d she said. \u201cIf appropriate care and support are provided, maybe it\u2019s possible to prevent these symptoms from becoming full-blown in the future.\u201d\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EBeyond TikTok\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EWhat the research team learns about TikTok could also provide broader insight into other social media platforms.\u003C\/p\u003E\u003Cp\u003ETikTok has been influential in how social media platforms display video content. Competitors like Instagram and X modeled their video presentation after TikTok\u2019s, which can easily lead to doomscrolling.\u003C\/p\u003E\u003Cp\u003E\u201cOur hope is that our findings can be generalized, with the caveat the data we have is exclusively from TikTok,\u201d De Choudhury said. \u201cOther platforms have similar video-sharing and consumption features where the video automatically plays from one to the next. We hope what we learn from TikTok will be applicable to people\u2019s activities elsewhere, though it will require future work beyond this project to draw concrete conclusions.\u201d\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003ESimulating Feeds with AI\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EDe Choudhury said an additional part of the study will be using artificial intelligence (AI) to simulate video feeds.\u003C\/p\u003E\u003Cp\u003EIn 2024, Hosseinmardi led a study at the University of Pennsylvania on YouTube\u2019s recommendation algorithm and used bots that either followed or ignored the recommendations.\u003C\/p\u003E\u003Cp\u003EDe Choudhury said they will use a similar method for TikTok.\u003C\/p\u003E\u003Cp\u003E\u201cThe feeds will be realistic but generated by AI to see the potential pathways to consumption rabbit holes,\u201d she said. \u201cThis should give us some insight into how algorithms influence the negative and positive exposures people might be having on TikTok.\u201d\u003C\/p\u003E\u003Ch4\u003E\u003Cstrong\u003EFoundation Expands Reach\u003C\/strong\u003E\u003C\/h4\u003E\u003Cp\u003EBased in the UK and established in 2009, the Huo Family Foundation supports community education initiatives in the UK, the U.S., and China.\u003C\/p\u003E\u003Cp\u003EThe organization announced in January its launch of the Huo Family Foundation Science Programme.\u0026nbsp;\u003Ca href=\u0022https:\/\/huofamilyfoundation.org\/news\/updates\/huo-family-foundation-awards-17-6m-for-groundbreaking-research\/\u0022\u003E\u003Cstrong\u003EThe new program is committing $17.6 million to fund 20 new multi-year research grants\u003C\/strong\u003E\u003C\/a\u003E that explore the impact of digital technology on the brain development, social behavior, and mental health of young people.\u003C\/p\u003E\u003Cp\u003E\u201cDigital technology is profoundly shaping childhood and young adulthood, yet there is limited causal evidence of its effects,\u201d\u0026nbsp;said Yan Huo, founder of the Huo Family Foundation, in a press release.\u0026nbsp;\u201cWe are proud to support exceptional researchers advancing vital scientific understanding.\u201d\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cdiv\u003E\u003Cdiv dir=\u0022ltr\u0022\u003E\u003Cp\u003ELed by Georgia Tech professor Munmun De Choudhury, a multi-institutional research team is launching a $1.7 million study to examine how TikTok\u2019s recommendation algorithm influences the mental health of adolescent users. The project focuses on passive consumption by analyzing the watch histories of over 10,000 young participants and using AI to simulate content \u0022rabbit holes.\u0022 By identifying patterns of negative exposure, the researchers aim to develop design interventions that can steer teenagers away from unhealthy behavioral patterns and support early mental health care.\u003C\/p\u003E\u003C\/div\u003E\u003C\/div\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A Georgia Tech-led research team is conducting a multi-year study using data from more than 10,000 adolescents to investigate how TikTok\u2019s recommendation algorithm and passive content consumption impact youth mental health."}],"uid":"36530","created_gmt":"2026-02-24 14:29:28","changed_gmt":"2026-03-20 12:52:52","author":"Nathan Deen","boilerplate_text":"","field_publication":"","field_article_url":"","location":"Atlanta, GA","dateline":{"date":"2026-02-24T00:00:00-05:00","iso_date":"2026-02-24T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"679406":{"id":"679406","type":"image","title":"208A9267-2.jpg","body":null,"created":"1771943377","gmt_created":"2026-02-24 14:29:37","changed":"1771943377","gmt_changed":"2026-02-24 14:29:37","alt":"Munmun De Choudhury","file":{"fid":"263567","name":"208A9267-2.jpg","image_path":"\/sites\/default\/files\/2026\/02\/24\/208A9267-2.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/02\/24\/208A9267-2.jpg","mime":"image\/jpeg","size":104533,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/02\/24\/208A9267-2.jpg?itok=3fEZjVVt"}}},"media_ids":["679406"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1188","name":"Research Horizons"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[{"id":"194606","name":"Artificial Intelligence"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"9153","name":"Research Horizons"},{"id":"167543","name":"social media"},{"id":"190947","name":"tiktok"},{"id":"10343","name":"mental health"},{"id":"10824","name":"Children And Adolescents"},{"id":"5660","name":"algorithms"}],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71901","name":"Society and Culture"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}