75 citations · 179 across the 25 of their papers we have counts for
11 papers · 1 filter
Examining Human-AI Collaboration for Co-Writing Constructive Comments Online
Farhana Shahid, Maximilian Dittgen, Mor Naaman +1
This paper examines if large language models (LLMs) can help people write constructive comments on divisive social issues due to the difficulty of expressing constructive disagreem…
KAHANI: Culturally-Nuanced Visual Storytelling Tool for Non-Western Cultures
Hamna, Deepthi Sudharsan, Agrima Seth +6
Large Language Models (LLMs) and Text-To-Image (T2I) models have demonstrated the ability to generate compelling text and visual stories. However, their outputs are predominantly a…
"Cold, Calculated, and Condescending": How AI Identifies and Explains Ableism Compared to Disabled People
Mahika Phutane, Ananya Seelam, Aditya Vashistha
People with disabilities (PwD) regularly encounter ableist hate and microaggressions online. These spaces are generally moderated by machine learning models, but little is known ab…
Personalizing Prostate Cancer Education for Patients Using an EHR-Integrated LLM Agent
Yuexing Hao, Jason Holmes, Mark R. Waddle +10
Cancer patients often lack timely education and personalized support due to clinician workload. This quality improvement study develops and evaluates a Large Language Model (LLM) a…
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances
Dhruv Agarwal, Mor Naaman, Aditya Vashistha
Large language models (LLMs) are being increasingly integrated into everyday products and services, such as coding tools and writing assistants. As these embedded AI applications a…
ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers
Pragnya Ramjee, Mehak Chhokar, Bhuvan Sachdeva +5
Community health workers (CHWs) provide last-mile healthcare services but face challenges due to limited medical knowledge and training. This paper describes the design, deployment…
Global Patterns of Viral Content on WhatsApp
Kiran Garimella, Princessa Cintaqia, Juan Jose Rojas Constain +2
This paper explores the nature and spread of viral WhatsApp content among everyday users in three diverse countries: India, Indonesia, and Colombia. By analyzing hundreds of viral…
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Rishav Hada, Safiya Husain, Varun Gumma +8
Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South…
Conversational Agents to Facilitate Deliberation on Harmful Content in WhatsApp Groups
Dhruv Agarwal, Farhana Shahid, Aditya Vashistha
WhatsApp groups have become a hotbed for the propagation of harmful content including misinformation, hate speech, polarizing content, and rumors, especially in Global South countr…
Saharaline: A Collective Social Support Intervention for Teachers in Low-Income Indian Schools
Rama Adithya Varanasi, Aditya Vashistha, Nicola Dell
This paper presents Saharaline, an intervention designed to provide collective social support for teachers in low-income schools. Implemented as a WhatsApp-based helpline, Saharali…
One Style Does Not Regulate All: Moderation Practices in Public and Private WhatsApp Groups
Farhana Shahid, Dhruv Agarwal, Aditya Vashistha
WhatsApp is the largest social media platform in the Global South and is a virulent force in global misinformation and political propaganda. Due to end-to-end encryption WhatsApp c…