Discourse Analysis: Media Bias and Linguistic Patterns on News Reports

DOI

10.2991/assehr.k.220131.049How to use a DOI?

Keywords

Media bias; Linguistic patterns; News reports; Corpus approach

Abstract

A well-directed article may affect the objectivity of the event itself and the reader’s interpretation. Language is powerful because it can appeal to emotions and ideologies, and therefore readers need to establish a more objective judgement in the various news reports from different news media. Based on the purpose of the study, this paper discusses the media bias and language patterns of different news reports on the theme of “COVID-19”. By using corpus methods, comparative analysis and discourse analysis, this study analyses 20 articles published by CNN and CBN, two news media with left and right political stances respectively. The results reveal that (1) The two news media have their own preferences in phrase collocation. (2) Exposure to media bias is closely related to the high-frequency word “vaccine”.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Ziran Zhou
PY  - 2022
DA  - 2022/02/01
TI  - Discourse Analysis: Media Bias and Linguistic Patterns on News Reports
BT  - Proceedings of the 2021 International Conference on Education, Language and Art (ICELA 2021)
PB  - Atlantis Press
SP  - 271
EP  - 277
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220131.049
DO  - 10.2991/assehr.k.220131.049
ID  - Zhou2022
ER  -