activity
20192025
most cited"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

87 citations · 144 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Evaluating how LLM annotations represent diverse views on contentious topics

Megan A. Brown, Shubham Atreja, Libby Hemphill +1

Researchers have proposed the use of generative large language models (LLMs) to label data for research and applied settings. This literature emphasizes the improved performance of…

cs.AI2024★ 17 cited

Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways

Shubham Atreja, Joshua Ashkinaze, Lingyao Li +2

Manually annotating data for computational social science tasks can be costly, time-consuming, and emotionally draining. While recent work suggests that LLMs can perform such annot…

cs.CL2023★ 87 cited

"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

Lingyao Li, Lizhou Fan, Shubham Atreja +1

Harmful content is pervasive on social media, poisoning online communities and negatively impacting participation. A common approach to address this issue is to develop detection m…

cs.CY2023★ 11 cited

Understanding Journalists' Workflows in News Curation

Shubham Atreja, Shruthi Srinath, Mohit Jain +1

With the increasing dominance of the internet as a source of news consumption, there has been a rise in the production and popularity of email newsletters compiled by individual jo…

cs.CY2023★ 8 cited

AppealMod: Inducing Friction to Reduce Moderator Workload of Handling User Appeals

Shubham Atreja, Jane Im, Paul Resnick +1

As content moderation becomes a central aspect of all social media platforms and online communities, interest has grown in how to make moderation decisions contestable. On social m…

cs.CY2022★ 19 cited

Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?

Shubham Atreja, Libby Hemphill, Paul Resnick

To reduce the spread of misinformation, social media platforms may take enforcement actions against offending content, such as adding informational warning labels, reducing distrib…

cs.AI2020

Extracting Procedural Knowledge from Technical Documents

Shivali Agarwal, Shubham Atreja, Vikas Agarwal

Procedures are an important knowledge component of documents that can be leveraged by cognitive assistants for automation, question-answering or driving a conversation. It is a cha…

cs.AI2019★ 2 cited

Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues

Shanu Kumar, Shubham Atreja, Anjali Singh +1

Citizen engagement and technology usage are two emerging trends driven by smart city initiatives. Governments around the world are adopting technology for faster resolution of civi…