75 citations · 179 across the 25 of their papers we have counts for
16 papers · 1 filter
From Written Response to Dialogue with AI: How Activity Format, Interaction Modality, and Language Impact Student Learning and Engagement
Deepak Varuvel Dennison, Connie Zhang, Rene Kizilcec +1
The widespread availability of LLMs is challenging written learning activities, as students can increasingly generate responses without necessarily engaging with the learning conte…
Creating Group Rules with AI: Human-AI Collaboration in WhatsApp Moderation
Gauri Nayak, Farhana Shahid, Kiran Garimella +1
WhatsApp is one of the most widely used messaging platforms globally, with billions of users sharing information in private groups. Yet, it offers little infrastructure to support…
TALES: A Taxonomy and Analysis of Cultural Representations in LLM-generated Stories
Kirti Bhagat, Shaily Bhatt, Athul Velagapudi +3
Millions of users across the globe turn to AI chatbots for their creative needs, inviting widespread interest in understanding how they represent diverse cultures. However, evaluat…
Designing Culturally Aligned AI Systems For Social Good in Non-Western Contexts
Deepak Varuvel Dennison, Mohit Jain, Tanuja Ganu +1
AI technologies are increasingly deployed in high-stakes domains such as education, healthcare, law, and agriculture to address complex challenges in non-Western contexts. This pap…
Trade-offs in Social-Norm Framings for Health Chatbots: Balancing Trust and Preference
Arpita Wadhwa, Aditya Vashistha, Mohit Jain
AI-driven chatbots are increasingly being used to support community health workers (CHWs) in developing regions. Yet little is known about how cultural frameworks in chatbot design…
LLMs Homogenize Values in Constructive Arguments on Value-Laden Topics
Farhana Shahid, Stella Zhang, Aditya Vashistha
Large language models (LLMs) are increasingly used to promote prosocial and constructive discourse online. Yet little is known about how these models negotiate and shape underlying…
"Ignorance is Not Bliss": Designing Personalized Moderation to Address Ableist Hate on Social Media
Sharon Heung, Lucy Jiang, Shiri Azenkot +1
Disabled people on social media often experience ableist hate and microaggressions. Prior work has shown that platform moderation often fails to remove ableist hate leaving disable…
Exploring Data-Driven Advocacy in Home Health Care Work
Joy Ming, Hawi H Tolera, Jiamin Tu +6
This paper explores opportunities and challenges for data-driven advocacy to support home care workers, an often overlooked group of low-wage, frontline health workers. First, we i…
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…
"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…
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…