71 citations · 109 across the 11 of their papers we have counts for
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cs.HC2023★ 21 cited
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
Houjiang Liu, Anubrata Das, Alexander Boltz +4
While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such…
cs.CL2023★ 71 cited
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das, Houjiang Liu, Venelin Kovatchev +1
Misinformation threatens modern society by promoting distrust in science, changing narratives in public health, heightening social polarization, and disrupting democratic elections…
cs.CY2023
Voices of Workers: Why a Worker-Centered Approach to Crowd Work Is Challenging
Caifan Du, Matthew Lease
How can we better understand the broad, diverse, shifting, and invisible crowd workforce, so that we can better support it? We present findings from online observations and analysi…