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Revealing Media Bias in News Articles
Felix Hamborg
2023
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This book is open access, which means that you have free and unlimited access Presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event Introduces person-oriented framing analysis, an approach assessing how articles portray persons involved in the event Combines approaches from computer science, computational linguistics, and political science
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Keywords
- artificial intelligence
- Computer science
- Computing & information technology
- content analysis
- deep learning
- Frame Analysis
- Information retrieval
- Language
- Language: history & general works
- Language: reference & general
- Machine learning
- media bias
- Media Studies
- Natural language & machine translation
- Natural Language Processing
- Political Science & Theory
- Politics & government
- Social Aspects of Computing
- Society & culture: general
- Society & Social Sciences
- thema EDItEUR::C Language and Linguistics::CB Language: reference and general::CBX Language: history and general works
- thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies
- thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Links
DOI: 10.1007/978-3-031-17693-7web: https://link.springer.com/book/10.1007/978-3-031-17693-7
Editions
