activity
20162026
most citedCoSINT: Designing a Collaborative Capture the Flag Competition to Investigate Misinformation

12 citations · 26 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026★ 1 cited

ScamPilot: Simulating Conversations with LLMs to Protect Against Online Scams

Owen Hoffman, Kangze Peng, Sajid Kamal +2

Fraud continues to proliferate online, from phishing and ransomware to impersonation scams. Yet automated prevention approaches adapt slowly and may not reliably protect users from…

cs.HC2025

Examining Solidarity Against AI-Enabled Surveillance at the Intersection of Workplace and Carceral Realities

Morgan McErlean, Cella M. Sum, Sukrit Venkatagiri +1

As panoptical, AI-driven surveillance becomes a norm, everyone is impacted. In a reality where all people fall victim to these technologies, establishing links and solidarity is es…

cs.HC2025

Promoting Online Safety by Simulating Unsafe Conversations with LLMs

Owen Hoffman, Kangze Peng, Zehua You +2

Generative AI, including large language models (LLMs) have the potential -- and already are being used -- to increase the speed, scale, and types of unsafe conversations online. LL…

cs.HC2024★ 5 cited

OSINT Research Studios: A Flexible Crowdsourcing Framework to Scale Up Open Source Intelligence Investigations

Anirban Mukhopadhyay, Sukrit Venkatagiri, Kurt Luther

Open Source Intelligence (OSINT) investigations, which rely entirely on publicly available data such as social media, play an increasingly important role in solving crimes and hold…

cs.HC2023★ 6 cited

Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation

Jacob Thebault-Spieker, Sukrit Venkatagiri, Naomi Mine +1

In recent years, social media companies have grappled with defining and enforcing content moderation policies surrounding political content on their platforms, due in part to conce…

cs.HC2023★ 12 cited

CoSINT: Designing a Collaborative Capture the Flag Competition to Investigate Misinformation

Sukrit Venkatagiri, Anirban Mukhopadhyay, David Hicks +2

Crowdsourced investigations shore up democratic institutions by debunking misinformation and uncovering human rights abuses. However, current crowdsourcing approaches rely on simpl…

cs.HC2023

The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events

Sukrit Venkatagiri, Joseph S. Schafer, Stephen Prochaska

Mis- and disinformation can spread rapidly on video-sharing platforms (VSPs). Despite the growing use of VSPs, there has not been a proportional increase in our ability to understa…

cs.HC2023★ 2 cited

Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol Attack

Tianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou +1

Social media platforms have enabled extremists to organize violent events, such as the 2021 U.S. Capitol Attack. Simultaneously, these platforms enable professional investigators a…

cs.DL2016

ScientoBASE: A Framework and Model for Computing Scholastic Indicators of non-local influence of Journals via Native Data Acquisition algorithms

Gouri Ginde, Snehanshu Saha, Archana Mathur +4

Defining and measuring internationality as a function of influence diffusion of scientific journals is an open problem. There exists no metric to rank journals based on the extent…