76 citations · 281 across the 9 of their papers we have counts for
9 papers
Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications
Dilrukshi Gamage, Piyush Ghasiya, Vamshi Krishna Bonagiri +2
Deepfakes are synthetic content generated using advanced deep learning and AI technologies. The advancement of technology has created opportunities for anyone to create and share d…
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report
Jacob Ritchie, Mark Whiting, Sorathan Chaturapruek +5
Beginning in April 2020, we gathered partial county-level data on non-pharmaceutical interventions (NPIs) implemented in response to the COVID-19 pandemic in the United States, usi…
Together we learn better: leveraging communities of practice for MOOC learners
Dilrukshi Gamage, Mark E Whiting
MOOC participants often feel isolated and disconnected from their peers. Navigating meaningful peer interactions, generating a sense of belonging, and achieving social presence are…
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction
Hancheng Cao, Vivian Yang, Victor Chen +5
Understanding team viability -- a team's capacity for sustained and future success -- is essential for building effective teams. In this study, we aggregate features drawn from the…
Empirica: a virtual lab for high-throughput macro-level experiments
Abdullah Almaatouq, Joshua Becker, James P. Houghton +3
Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing po…
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
Snehalkumar, S. Gaikwad, Durim Morina +35
Paid crowdsourcing platforms suffer from low-quality work and unfair rejections, but paradoxically, most workers and requesters have high reputation scores. These inflated scores,…