Media Corpora, Text Mining, and the Sociological Imagination - A Free Software Text Mining Approach to the Framing of Julian Assange by three news agencies using R. TeMiS

In this paper, we introduce R. TeMiS, a free software solution aimed at exploring new dimensions in text mining with a particular focus on media framing analysis. R. TeMiS is especially designed to provide help in a) the automation of corpus construction and management procedures based on the use of...

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Bibliographic Details
Published inBulletin de méthodologie sociologique Vol. 122; no. 1; pp. 5 - 25
Main Authors Bastin, Gilles, Bouchet-Valat, Milan
Format Journal Article
LanguageEnglish
Published 01.04.2014
Subjects
Computer Software
Imagination
Management
Mass Media
Mass Media Effects
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Summary:In this paper, we introduce R. TeMiS, a free software solution aimed at exploring new dimensions in text mining with a particular focus on media framing analysis. R. TeMiS is especially designed to provide help in a) the automation of corpus construction and management procedures based on the use of large media content data bases, and b) the extension of the range of statistical tools available to social scientists exploring texts through R coding (one and two-way tables, time series, hierarchical clustering, correspondence analysis, geographical mapping...). A case study on the media framing of Julian Assange from January 2010 to December 2011 is conducted. It is based on the analysis of a corpus of 667 news dispatches published in English by the three top international news agencies: Agence France-Presse (AFP), Reuters and Associated Press (AP). Adapted from the source document.
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ISSN:0759-1063
DOI:10.1177/0759106314521968