activity
20162026
most citedCrowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms

66 citations · 120 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Measuring and Evaluating the Performance of Generative AI Models for Scam Detection

Cem Topcuoglu, Seyed Ali Akhavani, Harel Berger +5

Online scams continue to cause substantial financial and personal harm. As a result, detection systems based on Large Language Models (LLMs) have been integrated into security prod…

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.CY2022★ 2 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.SI2021★ 9 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.CY2019★ 38 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.HC2017★ 5 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…

cs.HC2016★ 66 cited

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…