Results 31 to 40 of about 28,802,758 (291)
Discursive Representation of Teacher Identity in News Media Articles
International Journal Corner of Educational Research, 2023 Teacher identity is discursively represented in the discursive spaces of the news media, which influence the public opinion on teachers and the teaching profession in general. Informed by Systemic Functional Linguistics, specifically Halliday's transitivity analysis, this study analyzed these discursive representations in 30 news media articles from ...
Trecia Lynn Bayate +3 more
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Automated identification of media bias in news articles: an interdisciplinary literature review [PDF]
International Journal on Digital Libraries, 2018 Media bias, i.e., slanted news coverage, can strongly impact the public perception of the reported topics. In the social sciences, research over the past decades has developed comprehensive models to describe media bias and effective, yet often manual and thus cumbersome, methods for analysis.
Hamborg, Felix +2 more
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Detecting Media Bias in News Articles using Gaussian Bias Distributions [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featurebased and neural text classification approaches which rely only on the distribution of low-level lexical information fail to detect media bias.
Wei-Fan Chen 0001 +3 more
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Portrayal of mental illness in Indian newspapers: A cross-sectional analysis of online media reports
Indian Journal of Psychiatry, 2021 Background: Media portrayal of mental illness may influence public stigma and service utilization. Aim: This study aims to explore the overall tone and content of the news articles on mental illnesses in India.
Sonika Raj +3 more
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, 2023 Abstract The use of language by the media to affect the views and preferences of viewers is something that may be decoded by examining the pragmatic functions performed by the various discourse markers. The purpose of this study is to investigate the persuasive applications of discourse markers in the media as well as the pragmatism of their ...
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Ideologi Media dan Pembingkaian Berita Masjid Al Jabbar di Portal Jabarprov dan Jabar News
Humanis, 2023 This research aims to construct media bias in the discourse of news articles written by journalists. This research aims to analyze the framing structure and explore ideological differences between the two media regarding the news of the inauguration ...
Dewi Herlina, Aprillia Firmonasari
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Analytical and News Articles: American, British and Spanish Representation of the Image of the State in Comparison [PDF]
Актуальные проблемы филологии и педагогической лингвистики, 2022 This article is devoted to the study of the representation of the image of the state (Russia and the United States) in the American, British and Spanish analytical and news articles in comparative aspect.
Daria V. Paramonova
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The Impact of Affect on the Perception of Fake News on Social Media: A Systematic Review
Social Sciences, 2023 Social media platforms, which are ripe with emotionally charged pieces of information, are vulnerable to the dissemination of vast amounts of misinformation.
Rana Ali Adeeb, Mahdi Mirhoseini
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Deregulation or democracy? New media, news, neoliberalism and the public interest [PDF]
, 2011 This article began from the premise that news media are in crisis. The crisis is being managed by closing papers or shedding staff. Drawing on extensive empirical research the paper argues that these cuts are having a devastating effect on the quality of
Fenton, Natalie, Natalie Fenton
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An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles [PDF]
2021 International Conference on Data Mining Workshops (ICDMW), 2021 Media coverage has a substantial effect on the public perception of events. Nevertheless, media outlets are often biased. One way to bias news articles is by altering the word choice. The automatic identification of bias by word choice is challenging, primarily due to the lack of gold-standard data sets and high context dependencies.
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