activity
20172022
most citedBoomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms

38 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity

Seongmin Lee, Sadia Afroz, Haekyu Park +5

As the information on the Internet continues growing exponentially, understanding and assessing the reliability of a website is becoming increasingly important. Misinformation has…

cs.CY20222 cited

Domain-Level Detection and Disruption of Disinformation

Elliott Waissbluth, Hany Farid, Vibhor Sehgal +2

How, in 20 short years, did we go from the promise of the internet to democratize access to knowledge and make the world more understanding and enlightened, to the litany of daily…

cs.SI20219 cited

Mutual Hyperlinking Among Misinformation Peddlers

Vibhor Sehgal, Ankit Peshin, Sadia Afroz +1

The internet promised to democratize access to knowledge and make the world more open and understanding. The reality of today's internet, however, is far from this ideal. Misinform…

cs.CY201938 cited

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,…

cs.HC20175 cited

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…