The purpose of this research article is to examine the complex relationship between partisan media and its impact on minority groups, specifically African Americans, Latinos, and Asians, in American political discourse. Through a comprehensive analysis of news headlines from major cable news networks such as CNN, Fox, and MSNBC, the study examines how selective framing and biased coverage by media outlets influence the portrayal of this minority groups. By employing sentiment analysis techniques on a dataset extracted from LexisNexis, the study reveals the prevalence of negative tones in news headlines related to African Americans, Latinos, and Asian Americans. The findings shed light on the role of partisan media in shaping public perceptions, reinforcing biases, and contributing to political polarization. The implications of these findings underscore the importance of promoting informed and inclusive media practices to foster a more equitable and engaged society.
The purpose of this research article is to examine the complex relationship between partisan media and its impact on minority groups, specifically African Americans, Latinos, and Asians, in American political discourse. Through a comprehensive analysis of news headlines from major cable news networks such as CNN, Fox, and MSNBC, the study examines how selective framing and biased coverage by media outlets influence the portrayal of this minority groups. By employing sentiment analysis techniques on a dataset extracted from LexisNexis, the study reveals the prevalence of negative tones in news headlines related to African Americans, Latinos, and Asian Americans. The findings shed light on the role of partisan media in shaping public perceptions, reinforcing biases, and contributing to political polarization. The implications of these findings underscore the importance of promoting informed and inclusive media practices to foster a more equitable and engaged society.
Primary Language | English |
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Subjects | Political Communication, American Studies |
Journal Section | Research Articles |
Authors | |
Early Pub Date | August 29, 2024 |
Publication Date | August 30, 2024 |
Submission Date | May 30, 2024 |
Acceptance Date | August 5, 2024 |
Published in Issue | Year 2024 |
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