Misinformation

99 papers with code • 1 benchmarks • 24 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

uclmr/fakenewschallenge 11 Jul 2017

Identifying public misinformation is a complicated and challenging task.

Explainable Tsetlin Machine framework for fake news detection with credibility score assessment

cair/TsetlinMachine 19 May 2021

The proliferation of fake news, i. e., news intentionally spread for misinformation, poses a threat to individuals and society.

COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations

Komal7209/BackUp-Twitter-Sentiment-Analysis- 26 Mar 2020

The analysis is presented and updated on a publically accessible dashboard (https://usc-melady. github. io/COVID-19-Tweet-Analysis) to track the nature of online discourse and misinformation about COVID-19 on Twitter from March 1 - June 5, 2020.

CSI: A Hybrid Deep Model for Fake News Detection

sungyongs/CSI-Code 20 Mar 2017

Specifically, we incorporate the behavior of both parties, users and articles, and the group behavior of users who propagate fake news.

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning

atulkumarin/DeClare EMNLP 2018

Misinformation such as fake news is one of the big challenges of our society.

Combining Fact Extraction and Verification with Neural Semantic Matching Networks

easonnie/combine-FEVER-NSMN 16 Nov 2018

The increasing concern with misinformation has stimulated research efforts on automatic fact checking.

CoAID: COVID-19 Healthcare Misinformation Dataset

cuilimeng/CoAID 22 May 2020

As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire.

Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

BinWang28/SBERT-WK-Sentence-Embedding 7 Sep 2020

While misinformation and disinformation have been thriving in social media for years, with the emergence of the COVID-19 pandemic, the political and the health misinformation merged, thus elevating the problem to a whole new level and giving rise to the first global infodemic.

Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach

shakshi12/RumourGNN 15 Oct 2020

Thus, it is important to detect and control the misinformation in such platforms before it spreads to the masses.

Evidence-based Factual Error Correction

j6mes/2021-acl-factual-error-correction 31 Dec 2020

This paper introduces the task of factual error correction: performing edits to a claim so that the generated rewrite is better supported by evidence.