Fact Checking

102 papers with code • 4 benchmarks • 6 datasets

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Libraries

Use these libraries to find Fact Checking models and implementations

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.

Fact Checking in Community Forums

qcri/QLFactChecking 8 Mar 2018

Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information.

Fake News Detection on Social Media using Geometric Deep Learning

gordicaleksa/pytorch-GAT 10 Feb 2019

One of the main reasons is that often the interpretation of the news requires the knowledge of political or social context or 'common sense', which current NLP algorithms are still missing.

Automatic Fact-guided Sentence Modification

atulkum/pointer_summarizer 30 Sep 2019

This is a challenging constrained generation task, as the output must be consistent with the new information and fit into the rest of the existing document.

Evaluating the Factual Consistency of Abstractive Text Summarization

mcao610/Factual-Error-Correction EMNLP 2020

Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents.

CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

sshaar/clef2020-factchecking-task1 21 Jan 2020

Finally, the lab offers a fifth task that asks to predict the check-worthiness of the claims made in English political debates and speeches.

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.

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

LiamMaclean216/Pytorch-Transfomer 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.