We then build subjectivity feature vectors for each news article by calculating the Word Mover's Distance (WMD) between the news and these lexicons considering ...
The proposed tags categorize the fake news fragments according to their kind of falsehood in document. To reveal subjectivity nuances within the fragments, we ...
Feb 22, 2020 · For computing the subjectivity level of news, we rely on a set subjectivity lexicons built by Brazilian linguists. ... Analysis of the ...
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The proposed subjectivity of news is considered under the assumption that the subjectivity levels of legitimate and fake news are significantly different.
We propose to consider the subjectivity of news under the assumption that the subjectivity levels of legitimate and fake news are significantly different. For ...
Oct 24, 2024 · This study evaluates the adaptability of a fake news detection model across diverse fields, employing three distinct datasets.
Nov 30, 2020 · We perform an analysis on the way the subjective language is exploited in different situations inside the fake news documents.
Nov 25, 2020 · An analysis on the way the subjective language is exploited in different situations inside the fake news documents indicates that the ...
Feb 28, 2024 · The present corpus study, which is grounded in Appraisal Theory, investigates evaluative language use in fake news in English.
In this work, we explore using content-based features to enhance the explainability and effectiveness of fake news detection.
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