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Emotions Unveiled: Detecting COVID-19 Fake News on Social Media

Social Work

Emotions Unveiled: Detecting COVID-19 Fake News on Social Media

B. Farhoudinia, S. Ozturkcan, et al.

This groundbreaking research by Bahareh Farhoudinia, Selcen Ozturkcan, and Nihat Kasap uncovers the significant impact of emotions in detecting COVID-19 fake news on social media. By analyzing sentiments linked with fake and real news, the study demonstrates how negative emotions are more prominent in fake news, and highlights improved detection performance through the integration of emotional features in machine learning models.... show more
Citation Metrics
Citations
20
Influential Citations
1
Reference Count
70
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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