12 citations · 23 across the 6 of their papers we have counts for
6 papers
What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems
Vikram Mohanty, Jude Lim, Kurt Luther
AI models are constantly evolving, with new versions released frequently. Human-AI interaction guidelines encourage notifying users about changes in model capabilities, ideally sup…
DoubleCheck: Designing Community-based Assessability for Historical Person Identification
Vikram Mohanty, Kurt Luther
Historical photos are valuable for their cultural and economic significance, but can be difficult to identify accurately due to various challenges such as low-quality images, lack…
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…
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…
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…
Flud: a hybrid crowd-algorithm approach for visualizing biological networks
Aditya Bharadwaj, David Gwizdala, Yoonjin Kim +2
Modern experiments in many disciplines generate large quantities of network (graph) data. Researchers require aesthetic layouts of these networks that clearly convey the domain kno…