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Ajao_fake_news_AM.pdf

🔗 Source: shura.shu.ac.uk

📊 Size: 413 KB

👤 Author: Caroline Fixter

⬇️ Downloads: 63

Summary

Researchers propose a sentiment-aware approach to detect fake news on online social networks, hypothesizing a relationship between fake messages and the sentiment of posted texts. They compare their method to state-of-the-art text-only fake news detection methods, showing improvements in detection accuracy on a standard Twitter fake news dataset. The approach considers emotions and sentiments in posted texts as cues to identify fake news, and experiments demonstrate the effectiveness of this sentiment-aware classification.

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Description

Researchers propose a sentiment-aware approach to detect fake news on online social networks, hypothesizing a relationship between fake messages and the...

Technical Information

File Format: PDF
File Size: 413 KB
Pages: 6
Language: EN
Author: Caroline Fixter
Total Downloads: 63
Last Updated: 4 hours ago

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