Bridging semantic and social network analyses: the case of the hashtag #precisamosfalarsobreaborto (we need to talk about abortion) on Twitter
| Autor: | Marcelo Alves dos Santos, Diógenes Lycarião |
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| Rok vydání: | 2016 |
| Předmět: |
Social network
Frame analysis Computer science business.industry Communication 05 social sciences Opinion leadership 050801 communication & media studies Library and Information Sciences Abortion 0506 political science World Wide Web 0508 media and communications Content analysis 050602 political science & public administration Cover story business Semantic gap |
| Zdroj: | Information, Communication & Society. 20:368-385 |
| ISSN: | 1468-4462 1369-118X |
| DOI: | 10.1080/1369118x.2016.1168469 |
| Popis: | This paper presents an innovative method design that combines semantic with social network analysis in order to measure opinion leadership in social networking sites in a more accurate way. We used this method to assess the efficacy of the TPM magazine in disseminating its pro-decriminalization of abortion frames (contained in the cover story of its 148th issue) that were associated with the hashtag #precisamosfalarsobreaborto (a trending topic in November 2014). The data were collected from Twitter through the data-mining application NodeXL (N = 1010). A content analysis of a random sample was carried out (N = 376; margin of error = 4%; confidence interval = 95%; Krippendorff’s alpha = 0.661). Using the software Gephi, we plotted the data on a socio-semantic graph, which indicates that (a) the border of the social network does not represent a semantic gap with the center and (b) despite the network being extremely like-minded, one of its hubs appears to be what we conceptualize as a hotspot of co... |
| Databáze: | OpenAIRE |
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