Revealing Media Bias in News Articles: Nlp Techniques for Automated Frame Analys

Revealing Media Bias in News Articles: Nlp Techniques for Automated Frame Analys

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In recent years, there has been growing concern over media bias in news articles, with many questioning the objectivity and impartiality of the information presented to the public. One way to uncover bias in news articles is through the use of natural language processing (NLP) techniques for automated frame analysis.

Frame analysis involves examining the underlying assumptions, values, and ideologies that shape how a news story is presented. By using NLP techniques, researchers can analyze the language and framing used in news articles to identify potential biases.

For example, NLP can be used to detect the presence of emotional language or loaded words that may sway readers’ perceptions. It can also be used to identify patterns in the way sources are cited or represented, which can reveal underlying biases in the reporting.

By applying NLP techniques for automated frame analysis, researchers can uncover hidden biases in news articles and help promote more balanced and objective reporting. This can ultimately lead to a more informed public and a healthier media landscape.
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