Mitigating entity bias in fake news detection
Web20 apr. 2024 · In this paper, we propose an entity debiasing framework (\textbf{ENDEF}) which generalizes fake news detection models to the future data by mitigating entity bias … WebPaper Generalizing to the Future: Mitigating Entity Bias in Fake News Detection The wide dissemination of fake news is increasingly threatening both individuals and society. Fake news detection aims to train a model on the past news and detect fake news of …
Mitigating entity bias in fake news detection
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Web25 apr. 2024 · The majority of existing fake news detection algorithms focus on mining news content and/or the surrounding exogenous context for discovering deceptive …
Web20 apr. 2024 · We highlight the entity bias in fake news detection datasets and for the first time, propose to mitigate this bias for better generalization ability of fake news detectors. We design a debiasing framework that is convenient to be deployed along with different fake news detection models. WebICCART 2024, Fake News Detection via NLP is Vulnerable to Adversarial Attacks ; Domain Adaptation. COLING 2024, Improving Fake News Detection of Influential Domain via …
Web25 apr. 2024 · 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. WebIn this paper, we propose an entity debiasing framework (ENDEF) which generalizes fake news detection models to the future data by mitigating entity bias from a cause-effect …
Web17 okt. 2024 · The fake news detector could not differentiate fake from real text if they were both machine-generated. “We need to have the mindset that the most intrinsic ‘fake news’ characteristic is factual falseness, not whether or not the text was generated by machines,” says Schuster. “Text generators don’t have a specific agenda — it’s ...
Web1 sep. 2024 · Bias detection: To detect whether a news article is biased or not. Bias recognition: To recognize the biased words or phrases from the news articles. De … chewy chai spiced sugar cookiesWebWe see a significant difference of %fake between the 2010-2024 and 2024 subset. from publication: Generalizing to the Future: Mitigating Entity Bias in Fake News Detection The wide dissemination ... good writing guide university of aberdeenWebFake News Detection. It aims at classifying a news piece as real or fake. Existing methods can be roughly grouped as: content-based and social-context-based fake news … chewy cereal barsWeb20 apr. 2024 · We highlight the entity bias in fake news detection datasets and for the first time, propose to mitigate this bias for better generalization ability of fake news … chewy channelWeb6 jul. 2024 · Request PDF On Jul 6, 2024, Lu Cheng and others published Bias Mitigation for Toxicity Detection via Sequential Decisions Find, read and cite all the research you need on ResearchGate chewy cereal bars recipeWeb28 aug. 2024 · Most of the fake news datasets depend on a specific time period. Consequently, the detection models trained on such a dataset have difficulty detecting … good writing check programsWeb9 dec. 2024 · Background Although fake news creation and consumption are mutually related and can be changed to one another, our review indicates that a significant amount of research has primarily focused on news creation. To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and … chewy chat support jobs