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This paper presents an empirical analysis of gender bias in fake news compared to real news, utilizing public benchmark datasets and lexicon-based methods. The study reveals a consistent prevalence of gender bias in fake news, particularly in terms of emotional content and political references, with negative sentiments more pronounced towards female mentions. The findings underscore the importance of considering gender bias in the research of fake news and its implications in media studies.

Author

ketanraj

Language

EN