Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News

Nguyen Vo, Kyumin Lee


Abstract
Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the spread of misinformation. How can we use fact-checked information to improve users’ consciousness of fake news to which they are exposed? How can we stop users from spreading fake news? To tackle these questions, we propose a novel framework to search for fact-checking articles, which address the content of an original tweet (that may contain misinformation) posted by online users. The search can directly warn fake news posters and online users (e.g. the posters’ followers) about misinformation, discourage them from spreading fake news, and scale up verified content on social media. Our framework uses both text and images to search for fact-checking articles, and achieves promising results on real-world datasets. Our code and datasets are released at https://github.com/nguyenvo09/EMNLP2020.
Anthology ID:
2020.emnlp-main.621
Volume:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
November
Year:
2020
Address:
Online
Editors:
Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
7717–7731
Language:
URL:
https://aclanthology.org/2020.emnlp-main.621
DOI:
10.18653/v1/2020.emnlp-main.621
Bibkey:
Cite (ACL):
Nguyen Vo and Kyumin Lee. 2020. Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7717–7731, Online. Association for Computational Linguistics.
Cite (Informal):
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News (Vo & Lee, EMNLP 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.emnlp-main.621.pdf
Video:
 https://slideslive.com/38938793
Code
 nguyenvo09/EMNLP2020 +  additional community code
Data
PolitiFactSnopes