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

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

14 August 2023

Alexander Boltz

Matthew Lease

Min Kyung Lee

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

7 / 7 papers shown

Title
On the Risk of Misinformation Pollution with Large Language Models Yikang Pan Liangming Pan Wenhu Chen Preslav Nakov Min-Yen Kan W. Wang DeLMO 190 105 0 23 May 2023
Some Observations on Fact-Checking Work with Implications for Computational Support Rob Procter Miguel Arana Catania Yulan He Maria Liakata A. Zubiaga E. Kochkina Runcong Zhao 23 9 0 03 May 2023
WildQA: In-the-Wild Video Question Answering Santiago Castro Naihao Deng Pingxuan Huang Mihai Burzo Rada Mihalcea 68 7 0 14 Sep 2022
The Case for Claim Difficulty Assessment in Automatic Fact Checking Prakhar Singh Anubrata Das J. Li Matthew Lease 19 10 0 20 Sep 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News Ashkan Kazemi Zehua Li Verónica Pérez-Rosas Rada Mihalcea 19 12 0 27 Apr 2021
A Survey on Stance Detection for Mis- and Disinformation Identification Momchil Hardalov Arnav Arora Preslav Nakov Isabelle Augenstein 109 132 0 27 Feb 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 208 1,202 0 12 Jun 2017