Misinformation

271 papers with code • 1 benchmarks • 38 datasets

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

Most implemented papers

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.

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

nguyenvo09/EMNLP2020 EMNLP 2020

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.

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.

Transformer based Automatic COVID-19 Fake News Detection System

ayush714/Covid-19-Fake-News-Detection-System- 1 Jan 2021

For our analysis in this paper, we report a methodology to analyze the reliability of information shared on social media pertaining to the COVID-19 pandemic.

Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter

SarahAlqurashi/COVID19-Misinformation-dataset- 9 Jan 2021

The rapid growth of social media content during the current pandemic provides useful tools for disseminating information which has also become a root for misinformation.

The Surprising Performance of Simple Baselines for Misinformation Detection

ComplexData-MILA/misinfo-baselines 14 Apr 2021

As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours.

MINT -- Mainstream and Independent News Text Corpus

dcaled/mint 13 Aug 2021

Most corpora approach misinformation as a binary problem, classifying texts as real or fake.

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge

blender-nlp/newsclaims 16 Dec 2021

In this work, we present NewsClaims, a new benchmark for attribute-aware claim detection in the news domain.

Logical Fallacy Detection

causalnlp/logical-fallacy 28 Feb 2022

In this paper, we propose the task of logical fallacy detection, and provide a new dataset (Logic) of logical fallacies generally found in text, together with an additional challenge set for detecting logical fallacies in climate change claims (LogicClimate).