Automated identification of media bias in news articles: an interdisciplinary literature review-Reference-Cited by-同舟云学术

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

Published:2018-11-16 Issue:4 Volume:20 Page:391-415
ISSN:1432-5012
Container-title:International Journal on Digital Libraries
language:en
Short-container-title:Int J Digit Libr

Author:

Hamborg Felix^ORCID,Donnay Karsten^ORCID,Gipp Bela^ORCID

Funder

Carl-Zeiss-Stiftung

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences

Link

http://link.springer.com/content/pdf/10.1007/s00799-018-0261-y.pdf

Reference191 articles.

1. Mossberger, K., Tolbert, C.J., McNeal, R.S.: Digital Citizenship: The Internet, Society, and Participation. MIT Press, Cambridge (2007)

2. Urban, C.D.: Examining our credibility: perspectives of the public and the press. Urban1999-URBEOC, Asne Foundation (1999)

3. Crossman, J.: Aussies turn to social media for news despite not trusting it as much, Crossman Communications, Nov-2014. http://crossman.com.au/?p=3853

4. University of Michigan.: News bias explored—The art of reading the news (2014). http://umich.edu/~newsbias/ . Accessed 01 Aug 2018

5. Grefenstette, G., Qu, Y., Shanahan, J., Evans, D.: Coupling niche browsers and affect analysis for an opinion mining application. In: Proceedings of 12th International Conference on Rech. d’Information Assistee par Ordinateur (2004)

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