Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI

no code implementations • 14 Aug 2023 • Houjiang Liu, Anubrata Das, Alexander Boltz, Didi Zhou, Daisy Pinaroc, Matthew Lease, Min Kyung Lee

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 NLP work due to poor alignment with fact-checker practices, values, and needs.

Fact Checking Misinformation

The State of Human-centered NLP Technology for Fact-checking

no code implementations • 8 Jan 2023 • Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease

We recommend that future research include collaboration with fact-checker stakeholders early on in NLP research, as well as incorporation of human-centered design practices in model development, in order to further guide technology development for human use and practical adoption.

Explainable Models Fact Checking +1