Analyzing Cognitive Bias in Language: A Linguistic Perspective on Fox News and CNN
DOI:
https://doi.org/10.61173/g16veg69Keywords:
Media bias, cognitive bias, linguistic analy-sis, Fox News, CNN, affirmative action, political polariza-tion, journalism, news framing, statistical manipulationAbstract
This study examines cognitive bias in news language by analyzing the reporting styles of Fox News and CNN, particularly in their coverage of the United States Supreme Court ruling on affirmative action. Despite the journalistic principle of objectivity, both news outlets demonstrate media bias through various linguistic and rhetorical techniques. By comparing articles from these two networks, this study identifies four key areas of bias: title framing, selective opinions, statistical representation, and quotation choices. The study highlights how Fox News tends to employ more aggressive language targeting Democrats, whereas CNN presents viewpoints that align with its left-leaning audience while maintaining a more professional tone. Furthermore, the study discusses instances where both outlets have produced relatively unbiased reports, demonstrating that neutrality in media is achievable. Ultimately, the research underscores the importance of critical media literacy in discerning bias and forming well-informed opinions.
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