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An Analysis of Two Major Global News Channels’ Twitter Feeds: The British Broadcasting Corporation and Al Jazeera English
Linnaeus University, Faculty of Humanities and Social Sciences, School of Language and Literature.
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Twitter is an online social networking service which functions as an information sharing medium, hence it is perfect for media to convey pieces of news. The British Broadcasting Corporation (BBC) and Al Jazeera English (AJE) are two international news channels that actively use Twitter to share their news stories. Previous investigations have found that depending on the news story, the BBC and AJE convey their pieces of news slightly differently. This study aims to give an analysis of the textual content in these two news channel’s text messages (tweets) on Twitter to see if there are linguistic variations. The tweets were analysed in terms of tone, word choice and information richness. Tweets where the words Syria and kill occurred were chosen for a more thorough analysis, and the results show that the BBC had a slightly more negative tone, provided more detailed news reports and used a more informative language than AJE. It might be that the findings were a result of chance considering the fact that the collection of tweets analysed was rather small and differed in size. Nevertheless, the differences that were revealed by the study were of an apparent nature and occurred too frequently and consistently in this small material to be discarded as merely incidental.

Place, publisher, year, edition, pages
2013. , 22 p.
Keyword [en]
Twitter, BBC, Al Jazeera English, tweets, news channels, news reports, comparison
National Category
Languages and Literature
URN: urn:nbn:se:lnu:diva-23773OAI: diva2:600848
Subject / course
Educational program
Lärarprogrammet, inriktning mot verksamhet i grundskolans senare år och gymnasiet
Humanities, Theology
Available from: 2013-01-28 Created: 2013-01-27 Last updated: 2013-01-28Bibliographically approved

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