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 Munmun De Choudhury, social and computer science expert

Munmun De Choudhury

Associate Professor

Trained as a computer scientist, Munmun De Choudhury’s research interests lie in machine learning, social media, and health. She is passionate about uncovering problems at the intersection of computer science and social science. De Choudhury leads The SocWeB Lab, where she studies, analyzes, and uses social media to derive computational, large-scale data-driven insights, and to develop mechanisms and technologies for understanding and improving our mental health and well-being. She received her Ph.D. in computer science in 2011 at Arizona State University, Tempe. De Choudhury’s research has pioneered the computational use of social media data for mental health.

News and Recent Appearances

New Study Could Show How TikTok’s Algorithm Affects Youth Mental Health

A Georgia Tech-led research team is conducting a multi-year study using data from more than 10,000 adolescents to investigate how TikTok’s recommendation algorithm and passive content consumption impact youth mental health.

How Bad Are A.I. Delusions? We Asked People Treating Them.

The New York Times

OpenAI has consulted with mental health experts to improve how ChatGPT responds to people who appear to be in a psychological crisis. The company has also formed a council with eight outside experts in psychology and human-computer interaction to advise its policy team.

Professor to Advise OpenAI on Improving Well-Being Through ChatGPT

Georgia Tech College of Computing

OpenAI, the developer of the text-to-text generative artificial intelligence tool ChatGPT, announced in October the establishment of an Expert Council on Well-Being and AI.

Professor Munmun De Choudhury is one of eight experts serving on the initial council. OpenAI invited De Choudhury for her expertise on how digital resources affect youth mental health.

Researchers Look to Maker Safer AI Through Google Awards

Three Georgia Tech faculty members received Google Academic Research Awards to study how to make AI safer.

When AI Blurs Reality: The Rise of Hyperreal Digital Culture

Experts at Georgia Tech say the surge in AI hyperrealism — content that mimics human emotion, speech, and appearance with uncanny precision — is both a technological marvel and a societal challenge.

AI Chatbots Aren’t Experts on Psych Med Reactions — Yet

If you think you’re having an adverse drug reaction, it’s best to call a human medical professional, at least for the time being.

Researcher to Advise WHO on Addressing Loneliness and Social Isolation

The World Health Organization (WHO) has launched a new initiative to raise global awareness of loneliness and social isolation and to reduce their impact.

Researchers to Study Connection Between Online Misinformation and Real-World Violence

Srijan Kumar and Munmun De Choudhury receive CDC grant

Inaugural Award Recognizes Paper’s Lasting Impact on Mental Health Research

As social media research continues to advance at a breakneck pace, staying relevant is no easy feat.

Lawmakers Want Social Media Companies to Stop Getting Kids Hooked

Wired

Tech companies “are barely scratching the surface” of what they might do to help support young users, says Munmun de Choudhury, who studies the intersection of social media and mental health and founded the Social Dynamics and Wellbeing Lab at Georgia Tech. Apps like TikTok and Instagram can be resources for teens to explore their identities, form communities, and learn about mental health. Instead of banning social media outright, she says, legislation should push companies to understand young people and to rethink the mechanisms that keep kids scrolling past their own comfort level without restricting the ways the platforms can be helpful.

IC Associate Professor Wins 2021 ACM-W Rising Star Award

The award recognizes a woman whose early-career research has had a significant impact on the computing discipline.

Is Everybody Doing … OK? Let’s Ask Social Media

The New York Times

Munmun De Choudhury, a professor in the School of Interactive Computing at Georgia Tech, is also examining digital data for insights into well-being. Dr. De Choudhury’s work over the years has focused not only on population studies, like the Hedonometer, but also on the individual.

In 2013, she and colleagues found that by looking at new mothers on social media, they were able to help predict which ones might develop postpartum depression, based on their posts before the birth of their babies. One of the most telling signs? The use of first-person singular pronouns, like “I” and “me.”

 

IC Researchers Seek to Improve Treatment for Schizophrenia Under New $2.7 Million NIMH Grant

This grant offers researchers the opportunity to apply findings of past research to real-world clinical settings.

Social Media Study Identifies Mental Health Culture at Top-Ranked Campuses

Using social media, researchers create a mental health index for country's top-ranked colleges.

Likelihood of Dieting Success Lies Within Your Tweets

Georgia Tech researchers have determined that attitudes expressed on social media can predict dieting success.

Romance in the Age of Social Sharing

japanese exchange

The key to understanding romantic relationships is an age-old mystery. But the elusive language of love may be easier to decipher with new Georgia Institute of Technology computing research that brings insight into how we find, talk about, and improve our relationships with that significant other.

Risks in Using Social Media to Spot Signs of Mental Distress

Would never be part of any organization that would have me as a member

Munmun De Choudhury, an assistant professor in the School of Interactive Computing at Georgia Tech who studies mental health and social media, and was previously a member of a Microsoft Research team studying depression, weighs in on the benefits of social media for mental health and wellness.

Munmun de Choudhury Explains How Algorithms Understand You

welbeing

The School of Interactive Computing's Munmun De Choudhury is featured on NPR's On the Media to discuss the question of whether the algorithms built into social media and your cell phone are quietly probing your psyche.

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