no code implementations • 25 Jan 2024 • Inhwa Song, Sachin R. Pendse, Neha Kumar, Munmun De Choudhury
People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools.
no code implementations • 7 Nov 2023 • Munmun De Choudhury, Sachin R. Pendse, Neha Kumar
The past decade has been transformative for mental health research and practice.
1 code implementation • 19 Oct 2023 • Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar
Our findings underscore the pressing need to bolster the cross-lingual capacities of these models, and to provide an equitable information ecosystem accessible to all.
no code implementations • 17 Oct 2023 • Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man, Roy Ka-Wei Lee, Koustuv Saha, Nimay Parekh, Frederick L. Altice, Lam Yin Cheung, Munmun De Choudhury, Navin Kumar
The objectives were to: 1) Collect audio data from 24 people (12 with depression and 12 without mental health or major health condition diagnoses); 2) Build a machine learning model to predict depression risk.
no code implementations • 12 Oct 2023 • Mohit Chandra, Anush Mattapalli, Munmun De Choudhury
The proliferation of online misinformation has emerged as one of the biggest threats to society.
no code implementations • 13 Jul 2023 • Abhay Goyal, Muhammad Siddique, Nimay Parekh, Zach Schwitzky, Clara Broekaert, Connor Michelotti, Allie Wong, Robin O Hanlon, Lam Yin Cheung, Munmun De Choudhury, Roy Ka-Wei Lee, Navin Kumar
Broadly, our results indicated a left-leaning bias for both ChatGPT and Bard, with Bard more likely to provide responses around polarizing topics.
no code implementations • 1 Feb 2023 • Upol Ehsan, Koustuv Saha, Munmun De Choudhury, Mark O. Riedl
Utilizing two case studies in distinct domains, we empirically derive a framework that facilitates systematic charting of the sociotechnical gap by connecting AI guidelines in the context of XAI and elucidating how to use them to address the gap.
1 code implementation • 19 May 2022 • Gaurav Verma, Rohit Mujumdar, Zijie J. Wang, Munmun De Choudhury, Srijan Kumar
Advances in Natural Language Processing (NLP) have revolutionized the way researchers and practitioners address crucial societal problems.
1 code implementation • EMNLP 2021 • Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang
Hate speech has grown significantly on social media, causing serious consequences for victims of all demographics.
no code implementations • 10 Jun 2020 • Pablo Robles-Granda, Suwen Lin, Xian Wu, Sidney D'Mello, Gonzalo J. Martinez, Koustuv Saha, Kari Nies, Gloria Mark, Andrew T. Campbell, Munmun De Choudhury, Anind D. Dey, Julie Gregg, Ted Grover, Stephen M. Mattingly, Shayan Mirjafari, Edward Moskal, Aaron Striegel, Nitesh V. Chawla
In this paper, we create a benchmark for predictive analysis of individuals from a perspective that integrates: physical and physiological behavior, psychological states and traits, and job performance.
no code implementations • 4 Dec 2017 • Ian Stewart, Stevie Chancellor, Munmun De Choudhury, Jacob Eisenstein
We also demonstrate the utility of orthographic variation as a new lens to study sociolinguistic change in online communities, particularly when the change results from an exogenous force such as a content ban.