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Article

David Gunnarsson Lorentzen

The purpose of the paper is to analyse the interactions of bridging users in Twitter discussions about vaccination.

Abstract

Purpose

The purpose of the paper is to analyse the interactions of bridging users in Twitter discussions about vaccination.

Design/methodology/approach

Conversational threads were collected through filtering the Twitter stream using keywords and the most active participants in the conversations. Following data collection and anonymisation of tweets and user profiles, a retweet network was created to find users bridging the main clusters. Four conversations were selected, ranging from 456 to 1,983 tweets long, and then analysed through content analysis.

Findings

Although different opinions met in the discussions, a consensus was rarely built. Many sub-threads involved insults and criticism, and participants seemed not interested in shifting their positions. However, examples of reasoned discussions were also found.

Originality/value

The study analyses conversations on Twitter, which is rarely studied. The focus on the interactions of bridging users adds to the uniqueness of the paper.

Details

Aslib Journal of Information Management, vol. 73 no. 2
Type: Research Article
ISSN: 2050-3806

Keywords

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Article

David Gunnarsson Lorentzen

The purpose of this paper is to describe and analyse relationships and communication between Twitter actors in Swedish political conversations. More specifically, the…

Abstract

Purpose

The purpose of this paper is to describe and analyse relationships and communication between Twitter actors in Swedish political conversations. More specifically, the paper aims to identify the most prominent actors, among these actors identify the sub-groups of actors with similar political affiliations, and describe and analyse the relationships and communication between these sub-groups.

Design/methodology/approach

Data were collected during four weeks in September 2012, using Twitter API. The material included 77,436 tweets from 10,294 Twitter actors containing the hashtag #svpol. In total, 916 prominent actors were identified and categorised according to the main political blocks, using information from their profiles. Social network analysis was utilised to map the relationships and the communication between these actors.

Findings

There was a marked dominance of the three main political blocks among the 916 most prominent actors: left block, centre-right block, and right-wing block. The results from the social network analysis suggest that while polarisation exists in both followership and re-tweet networks, actors follow and re-tweet actors from other groups. The mention network did not show any signs of polarisation. The blocks differed from each other with the right-wingers being tighter and far more active, but also more distant from the others in the followership network.

Originality/value

While a few papers have studied political polarisation on Twitter, this is the first to study the phenomenon using followership data, mention data, and re-tweet data.

Details

Aslib Journal of Information Management, vol. 66 no. 3
Type: Research Article
ISSN: 2050-3806

Keywords

Abstract

Details

Aslib Journal of Information Management, vol. 66 no. 3
Type: Research Article
ISSN: 2050-3806

Abstract

Details

Tweeting the Environment #Brexit
Type: Book
ISBN: 978-1-78756-502-9

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Abstract

Details

Tweeting the Environment #Brexit
Type: Book
ISBN: 978-1-78756-502-9

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Abstract

Details

The Brexit Referendum on Twitter
Type: Book
ISBN: 978-1-80043-294-9

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