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Content analysis on social networks: Exploring the #Maduro hashtag
dc.contributor.author | Niklander S. | |
dc.date.accessioned | 2020-09-02T22:24:36Z | |
dc.date.available | 2020-09-02T22:24:36Z | |
dc.date.issued | 2017 | |
dc.identifier | 10.1109/ICCNI.2017.8123803 | |
dc.identifier.citation | 2017-January, , 1-4 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12728/5570 | |
dc.description | The rapid growth in the use of social networks has led the generation of multiple discussions about its relation to political concerns. The idea of analyzing social networks arises from the logic of understanding them as a new form of political participation, therefore, as a new form of communication and organization of citizens. This paper focuses on the use of a research technique called Content Analysis to thematically classify the messages communicated via Twitter using the #Maduro hashtag. We particularly target the period after the elections to the constituent assembly in Venezuela, due to the political relevance for Latin America and the entire world. Interesting results are illustrated about the use of this technique to detect the visibilized and invisibilized topics related to this powerful political event. © 2017 IEEE. | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.source | Matthews V.O.Adewumi A.Misr S. | |
dc.subject | content analysis | |
dc.subject | Maduro | |
dc.subject | politics | |
dc.subject | social networks | |
dc.subject | Computation theory | |
dc.subject | Content analysis | |
dc.subject | Latin America | |
dc.subject | Maduro | |
dc.subject | Political events | |
dc.subject | Political participations | |
dc.subject | politics | |
dc.subject | Rapid growth | |
dc.subject | Venezuela | |
dc.subject | Social networking (online) | |
dc.title | Content analysis on social networks: Exploring the #Maduro hashtag | |
dc.type | Conference Paper |