Shravika Mittal

Bio

I am a third-year CS Ph.D. student at Georgia Institute of Technology, advised by Dr. Munmun De Choudhury in the Social Dynamics and Wellbeing (SocWeB) Lab. Broadly, my research interests are in Human-AI Interaction, Responsible AI, and Natural Language Processing. I audit generative AI–powered applications/models to identify and mitigate information (e.g., dissemination of stigma or biases) and interaction risks (e.g., behavioral impacts). My objective is to contribute tools, frameworks, and policies to build safe and responsible online, AI-infused information ecosystems, particularly for underrepresented communities and in high-stakes domains such as healthcare.

I am honored to be supported by the Quad Fellowship. Previously, I was a research intern with the FATE group at Microsoft Research, collaborating with Dr. Q. Vera Liao and Dr. Su Lin Blodgett.

Prior to starting my Ph.D., my work with Dr. Munmun De Choudhury uncovered the stigmatization of marginalized communities, such as survivors of gender-based violence or those with a mental health disorder, in mass communication and social media. I also interned at Adobe Research with Kanak Mahadik, Ryan Rossi, and Sungchul Kim, where I worked on automating GPU instance recommendation for deep learning training workloads.

News

[10/2025] Our work, Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder, got accepted to Nature Partner Journal (npj) Artificial Intelligence!
This came with a lot of learnings: my first longitudinal experiment and my first experience writing for a broad readership venue!
[09/2025] Invited to a panel, organized by the Graduate Student Association at Georgia Tech, on navigating graduate studies.
[08/2025] Our work, MythTriage, led by Hayoung, got accepted to EMNLP 2025.
[05/2025] Started my internship with the FATE group at Microsoft Research, Montréal. Looking forward to working with Dr. Q. Vera Liao and Dr. Su Lin Blodgett!
[04/2025] Our most recent work, titled Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities, is up on arXiv.
[04/2025] I passed my qualification exam, the first milestone of my Ph.D. program!
[11/2024] Our work, Online Myths on Opioid Use Disorder: A Comparison of Reddit and Large Language Model, got accepted to ICWSM 2025.
[11/2024] Our CSCW '24 paper, on muting and gender-based violence, received an award.
[07/2024] Honored to be awarded the 2024 Quad Fellowship. My school wrote about this here and here!
[05/2024] Invited for a talk at the 1st Workshop on Reclaiming the Narrative at ICWSM 2024.
[04/2024] Accepted to Sante Fe Institute's 2024 Complex Systems Summer School.
[04/2024] Received ICWSM Student Travel Grant to present our work at ICWSM 2024.
[03/2024] Honored to receive the College of Computing Rising Star Doctoral Student Research Award at Georgia Tech.
[03/2024] Our work, A Cross Community Comparison of Muting in Conversations of Gendered Violence on Reddit, got accepted to CSCW 2024.
[03/2024] Our work, Research-Education Partnerships: A Co-Design Classroom for College Students with Intellectual and Developmental Disabilities, led by Rachel, got accepted to CSCW 2024.
[03/2024] Our work, News Media Framing of Suicide Circumstances and Gender: Mixed Methods Analysis, led by Jay, got accepted to JMIR Mental Health.
[11/2023] Our work, News Media and Violence Against Women: Understanding Framings of Stigma, got accepted to ICWSM 2024.
[08/2023] Started my Ph.D. at Georgia Tech.
[04/2023] Received Gary Marsden Travel Award to present our work at CHI 2023.
[01/2023] Our work, Moral Framing of Mental Health Discourse and Its Relationship to Stigma: A Comparison of Social Media and News, got accepted to CHI 2023.
[08/2022] Wrapped up my internship at Adobe Research with Kanak Mahadik, Ryan Rossi, and Sungchul Kim.

Publications

All publications on Google Scholar.
^‡ indicates equal contribution.

Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder

Shravika Mittal, Darshi Shah, Shin Won Do, Mai ElSherief, Tanushree Mitra, Munmun De Choudhury

Nature Partner Journal (npj) Artificial Intelligence. 2025.

Paper

Online Myths on Opioid Use Disorder: A Comparison of Reddit and Large Language Model

Shravika Mittal, Hayoung Jung, Mai ElSherief, Tanushree Mitra, Munmun De Choudhury

Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). 2025.

Paper

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform

Hayoung Jung, Shravika Mittal, Ananya Aatreya, Navreet Kaur, Munmun De Choudhury, Tanushree Mitra

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2025.

News Media and Violence Against Women: Understanding Framings of Stigma

Shravika Mittal, Jasmine C. Foriest, Benjamin D. Horne, Munmun De Choudhury

Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). 2024.

Paper Slides Code

Moral Framing of Mental Health Discourse and Its Relationship to Stigma: A Comparison of Social Media and News

Shravika Mittal, Munmun De Choudhury

Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI). 2023.

Paper Slides Video

A Cross Community Comparison of Muting in Conversations of Gendered Violence on Reddit

Jasmine C. Foriest^‡, Shravika Mittal^‡, Kirsten Bray^‡, Anh-Ton Tran^‡, Munmun De Choudhury

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). 2024.

News Media Framing of Suicide Circumstances and Gender: Mixed Methods Analysis

Jasmine C. Foriest, Shravika Mittal, Eugenia Kim, Natalie Lennon, Andrea Carmichael, Steven A. Sumner, Munmun De Choudhury

JMIR Mental Health. 2024.

Paper

Research-Education Partnerships: A Co-Design Classroom for College Students with Intellectual and Developmental Disabilities.

Rachel Lowy, Khushi Magiawala, Shravika Mittal, Kaely Hall, Jessica Roberts, Jennifer Kim

ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). 2024.

Incomplete gamma integrals for deep cascade prediction using content, network, and exogenous signals

Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty

IEEE Transactions on Knowledge and Data Engineering. 2022.

Paper

Dynamics of node influence in network growth models

Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal

Physica A: Statistical Mechanics and its Applications. 2022.

Paper Code

Hide and seek: outwitting community detection algorithms

Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty

IEEE Transactions on Computational Social Systems. 2021.

Paper Code

Did You “Read” the Next Episode? Using Textual Cues for Predicting Podcast Popularity

Brihi Joshi^‡, Shravika Mittal^‡, Aditya Chetan^‡

Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA). 2020.

Paper Code

Academic Service

Reviewer: CHI (2024: Special Recognitions for Outstanding Reviews, 2025: Special Recognitions for Outstanding Reviews, 2026), CSCW (2024, 2025, 2026), IMWUT (2025), ICWSM (2025), HEAL@CHI Workshop (2025)
Organizer: CHI '24 Southeast Regional Meet-up, HCI Southeast Regional Meet-up
Volunteer: EECS Rising Stars 2023 (Academic Career Workshop), ICWSM 2024 (Student Volunteer)

CV

Full CV in PDF.

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