76 citations · 151 across the 6 of their papers we have counts for
5 papers · 1 filter
Labeling Synthetic Content: User Perceptions of Warning Label Designs for AI-generated Content on Social Media
Dilrukshi Gamage, Dilki Sewwandi, Min Zhang +1
In this research, we explored the efficacy of various warning label designs for AI-generated content on social media platforms e.g., deepfakes. We devised and assessed ten distinct…
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…
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…
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms
Mark E. Whiting, Dilrukshi Gamage, Snehalkumar S. Gaikwad +25
Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts beha…