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Old Age
An Emotional Analysis of False Information in Social Media and News Articles
August 26, 2019 ยท Declared Dead ยท ๐ ACM Trans. Internet Techn.
"No code URL or promise found in abstract"
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Authors
Bilal Ghanem, Paolo Rosso, Francisco Rangel
arXiv ID
1908.09951
Category
cs.CL: Computation & Language
Cross-listed
cs.IR,
cs.SI
Citations
215
Venue
ACM Trans. Internet Techn.
Last Checked
3 months ago
Abstract
Fake news is risky since it has been created to manipulate the readers' opinions and beliefs. In this work, we compared the language of false news to the real one of real news from an emotional perspective, considering a set of false information types (propaganda, hoax, clickbait, and satire) from social media and online news articles sources. Our experiments showed that false information has different emotional patterns in each of its types, and emotions play a key role in deceiving the reader. Based on that, we proposed a LSTM neural network model that is emotionally-infused to detect false news.
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