76 citations · 127 across the 4 of their papers we have counts for
4 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…
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…
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,…
Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design
Snehalkumar "Neil" S. Gaikwad, Nalin Chhibber, Vibhor Sehgal +26
Low-quality results have been a long-standing problem on microtask crowdsourcing platforms, driving away requesters and justifying low wages for workers. To date, workers have been…