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Hamborg et al., 2019 - Google Patents

Automated identification of media bias in news articles: an interdisciplinary literature review

Hamborg et al., 2019

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Document ID
10819657626903618009
Author
Hamborg F
Donnay K
Gipp B
Publication year
Publication venue
International Journal on Digital Libraries

External Links

Snippet

Media bias, ie, 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 …
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Classifications

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    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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