Big Data vs. Slow Understanding? Voraussetzungen und Vorgehen computerunterstützter Analyse transmedialer multimodaler Diskurse

The paper looks into the practice of a computer-assisted discourse analysis. Centring on the decisions and procedures that go into reconstructing multimodal frames from transmedia discourse, the paper has two aims. For one, it discusses the chances and challenges automatic text analysis has to addre...

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Vydané v:Zeitschrift für germanistische Linguistik Ročník 43; číslo 1; s. 112 - 133
Hlavní autori: Fraas, Claudia, Pentzold Christian
Médium: Journal Article
Jazyk:German
Vydavateľské údaje: Berlin Walter de Gruyter GmbH 01.03.2015
Predmet:
Automatic text analysis
Big Data
Computer generated language analysis
Computers
Data analysis
Data collection
Discourse analysis
Law enforcement
Mobile phones
Multimodality
Surveillance
Text analysis
ISSN:0301-3294, 1613-0626
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Abstract The paper looks into the practice of a computer-assisted discourse analysis. Centring on the decisions and procedures that go into reconstructing multimodal frames from transmedia discourse, the paper has two aims. For one, it discusses the chances and challenges automatic text analysis has to address in facing the vast amounts of multimodal discourse that emerge in convergent media. Building on that, the paper explains the methodological premises and methodical procedures of a discourse analysis employing the computer-assisted qualitative data analysis software Atlas.ti. As such, it presents an investigation that does not answer the current prevalence of available ‘big data’ with computer power but explores the interplay between an interpretative analysis and technological support. It does so by using material from the discourse on the so-called Handygate affair. There, state authorities collected mobile phone data during the commemorative events of the Dresden bombings in February 2011. They thus created a big data collection which became the subject of public attention and was either framed as illegal and extensive instrument of state surveillance or as an efficient and accurate tool for law enforcement and targeted prosecution.
AbstractList The paper looks into the practice of a computer-assisted discourse analysis. Centring on the decisions and procedures that go into reconstructing multimodal frames from transmedia discourse, the paper has two aims. For one, it discusses the chances and challenges automatic text analysis has to address in facing the vast amounts of multimodal discourse that emerge in convergent media. Building on that, the paper explains the methodological premises and methodical procedures of a discourse analysis employing the computer-assisted qualitative data analysis software Atlas.ti. As such, it presents an investigation that does not answer the current prevalence of available ‘big data’ with computer power but explores the interplay between an interpretative analysis and technological support. It does so by using material from the discourse on the so-called Handygate affair. There, state authorities collected mobile phone data during the commemorative events of the Dresden bombings in February 2011. They thus created a big data collection which became the subject of public attention and was either framed as illegal and extensive instrument of state surveillance or as an efficient and accurate tool for law enforcement and targeted prosecution.
Author Pentzold Christian
Fraas, Claudia
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SubjectTerms Automatic text analysis
Big Data
Computer generated language analysis
Computers
Data analysis
Data collection
Discourse analysis
Law enforcement
Mobile phones
Multimodality
Surveillance
Text analysis
Subtitle Voraussetzungen und Vorgehen computerunterstützter Analyse transmedialer multimodaler Diskurse
Title Big Data vs. Slow Understanding?
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