What social media data mean for audience studies: a multidimensional investigation of Twitter use during a current affairs TV programme

Both practitioners and researchers embrace the increasing volume of digital data to measure and understand audiences. This study focuses on Twitter use during an eminent Belgian current affairs television (TV) programme to investigate how people talk about TV on Twitter. The main objective of the st...

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Published inInformation, communication & society Vol. 18; no. 2; pp. 221 - 234
Main Authors D'heer, Evelien, Verdegem, Pieter
Format Journal Article
LanguageEnglish
Published Abingdon Routledge 01.02.2015
Taylor & Francis Ltd
Subjects
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ISSN1369-118X
1468-4462
DOI10.1080/1369118X.2014.952318

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Abstract Both practitioners and researchers embrace the increasing volume of digital data to measure and understand audiences. This study focuses on Twitter use during an eminent Belgian current affairs television (TV) programme to investigate how people talk about TV on Twitter. The main objective of the study is to understand how we can interpret these digital traces and, in extension, discuss its utility and value for audience studies. More specifically, we define two validity issues related to the use of social media data: that is, the technological bias of data analysis and the alleged objectivity of the data. These issues are addressed through the combination of Twitter data and user insights. In particular, we focus on interaction patterns and the content of Twitter messages in relation to TV content. We compliment these analyses with in-depth interviews with a selection of Twitter users. The results confirm the variations and complexities of the use of digital objects such as the @-sign and the hashtag. In addition, although Twitter messages are unobtrusive measures, they reflect performances in the sense that they entail interpretations as well as representations of the self and one's programme taste. Users predominantly feel the need to scrutinize the actions and utterances of politicians and experts. The use of irony and sarcasm exemplifies the playfulness and fun factor of these activities. To conclude, we elaborate on the results in relation to the validity issues we put forth and discuss methodological and epistemological concerns related to the use of social media data in audience studies.
AbstractList Both practitioners and researchers embrace the increasing volume of digital data to measure and understand audiences. This study focuses on Twitter use during an eminent Belgian current affairs television (TV) programme to investigate how people talk about TV on Twitter. The main objective of the study is to understand how we can interpret these digital traces and, in extension, discuss its utility and value for audience studies. More specifically, we define two validity issues related to the use of social media data: that is, the technological bias of data analysis and the alleged objectivity of the data. These issues are addressed through the combination of Twitter data and user insights. In particular, we focus on interaction patterns and the content of Twitter messages in relation to TV content. We compliment these analyses with in-depth interviews with a selection of Twitter users. The results confirm the variations and complexities of the use of digital objects such as the @-sign and the hashtag. In addition, although Twitter messages are unobtrusive measures, they reflect performances in the sense that they entail interpretations as well as representations of the self and one's programme taste. Users predominantly feel the need to scrutinize the actions and utterances of politicians and experts. The use of irony and sarcasm exemplifies the playfulness and fun factor of these activities. To conclude, we elaborate on the results in relation to the validity issues we put forth and discuss methodological and epistemological concerns related to the use of social media data in audience studies. Reprinted by permission of Routledge, Taylor and Francis Ltd.
Both practitioners and researchers embrace the increasing volume of digital data to measure and understand audiences. This study focuses on Twitter use during an eminent Belgian current affairs television (TV) programme to investigate how people talk about TV on Twitter. The main objective of the study is to understand how we can interpret these digital traces and, in extension, discuss its utility and value for audience studies. More specifically, we define two validity issues related to the use of social media data: that is, the technological bias of data analysis and the alleged objectivity of the data. These issues are addressed through the combination of Twitter data and user insights. In particular, we focus on interaction patterns and the content of Twitter messages in relation to TV content. We compliment these analyses with in-depth interviews with a selection of Twitter users. The results confirm the variations and complexities of the use of digital objects such as the @-sign and the hashtag. In addition, although Twitter messages are unobtrusive measures, they reflect performances in the sense that they entail interpretations as well as representations of the self and one's programme taste. Users predominantly feel the need to scrutinize the actions and utterances of politicians and experts. The use of irony and sarcasm exemplifies the playfulness and fun factor of these activities. To conclude, we elaborate on the results in relation to the validity issues we put forth and discuss methodological and epistemological concerns related to the use of social media data in audience studies. Adapted from the source document.
Both practitioners and researchers embrace the increasing volume of digital data to measure and understand audiences. This study focuses on Twitter use during an eminent Belgian current affairs television (TV) programme to investigate how people talk about TV on Twitter. The main objective of the study is to understand how we can interpret these digital traces and, in extension, discuss its utility and value for audience studies. More specifically, we define two validity issues related to the use of social media data: that is, the technological bias of data analysis and the alleged objectivity of the data. These issues are addressed through the combination of Twitter data and user insights. In particular, we focus on interaction patterns and the content of Twitter messages in relation to TV content. We compliment these analyses with in-depth interviews with a selection of Twitter users. The results confirm the variations and complexities of the use of digital objects such as the @-sign and the hashtag. In addition, although Twitter messages are unobtrusive measures, they reflect performances in the sense that they entail interpretations as well as representations of the self and one's programme taste. Users predominantly feel the need to scrutinize the actions and utterances of politicians and experts. The use of irony and sarcasm exemplifies the playfulness and fun factor of these activities. To conclude, we elaborate on the results in relation to the validity issues we put forth and discuss methodological and epistemological concerns related to the use of social media data in audience studies.
Author Verdegem, Pieter
D'heer, Evelien
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SubjectTerms Audience
Audiences
Bias
Current events
Data
Data analysis
Data processing
Digital
Digital data
Digital media
Epistemology
Internet
Intervention
Investigations
Irony
Mass Media
Messages
Methodology
Objectivity
Playfulness
Programming (Broadcast)
Sarcasm
Social media
Social networks
Television
Television programs
Twitter
Utterances
Validation studies
Validity
Values
Title What social media data mean for audience studies: a multidimensional investigation of Twitter use during a current affairs TV programme
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