Combining Fact Extraction and Verification with Neural Semantic Matching Networks
easonnie/combine-FEVER-NSMN
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The increasing concern with misinformation has stimulated research efforts on automatic fact checking.
CoAID: COVID-19 Healthcare Misinformation Dataset
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
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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
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
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
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
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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.
User Preference-aware Fake News Detection
The majority of existing fake news detection algorithms focus on mining news content and/or the surrounding exogenous context for discovering deceptive signals; while the endogenous preference of a user when he/she decides to spread a piece of fake news or not is ignored.
MINT -- Mainstream and Independent News Text Corpus
Most corpora approach misinformation as a binary problem, classifying texts as real or fake.
DialFact: A Benchmark for Fact-Checking in Dialogue
salesforce/dialfact
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ACL 2022
Fact-checking is an essential tool to mitigate the spread of misinformation and disinformation.