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dc.contributor.authorSerrano Contreras, Ignacio Jesús
dc.contributor.authorGarcía Marín, Javier 
dc.contributor.authorGarcía Luengo, Óscar 
dc.date.accessioned2020-10-09T09:15:30Z
dc.date.available2020-10-09T09:15:30Z
dc.date.issued2020-10-08
dc.identifier.citationSerrano-Contreras, I., García-Marín, J., & Luengo, Ó. (2020). Measuring Online Political Dialogue: Does Polarization Trigger More Deliberation?. Media and Communication, 8(4), 63-72. [doi:http://dx.doi.org/10.17645/mac.v8i4.3149]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/63722
dc.description.abstractIn recent years, we have witnessed an increasing consolidation of different realms where citizens can deliberate and discuss a variety of topics of general interest, including politics. The comments on news posts in online media are a good example. The first theoretical contributions called attention to the potential of those spaces to build a healthy (civic and participatory) public sphere, going much deeper in the process of political dialogue and deliberation (Fung, Gilman, & Shkabatur, 2013; Lilleker & Jackson, 2008; O’Reilly, 2005; Stromer-Galley & Wichowski, 2011). Polarization has been configured as a constant feature of the quality of the mentioned dialogues, particularly in Mediterranean countries (polarized pluralists’ cases). One of the research challenges at the moment has to do with the scrutiny of polarization within the political deliberation provoked by news stories. The goal of this article is the analysis of political dialogue from the perspective of the polarization in the increasingly popular network YouTube, which is presenting very particular characteristics. Using a sample of almost 400,000 posted comments about diverse topics (climate change, the Catalonian crisis, and Political parties’ electoral ads) we propose an automated method in order to measure polarization. Our hypothesis is that the number of comments (quantitative variable) is positively related to their polarization (qualitative variable). We will also include in the examination information about the ideological editorial line of newspapers, the type of topic under discussion, the amount of traceable dialogue, etc. We propose an index to (1) measure the polarization of each comment and use it to show how this value has behaved over time; and (2) verify the hypothesis using the average polarization of comments for each video.es_ES
dc.language.isoenges_ES
dc.publisherCogitatio Presses_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectAlgorithms es_ES
dc.subjectPolarizationes_ES
dc.subjectPublic spherees_ES
dc.subjectSocial Mediaes_ES
dc.subjectText mininges_ES
dc.subjectYouTubees_ES
dc.titleMeasuring Online Political Dialogue: Does Polarization Trigger More Deliberation?es_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.17645/mac.v8i4.3149


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