Show simple item record

dc.contributor.authorNiklander S.
dc.date.accessioned2020-09-02T22:24:36Z
dc.date.available2020-09-02T22:24:36Z
dc.date.issued2017
dc.identifier10.1109/ICCNI.2017.8123803
dc.identifier.citation2017-January, , 1-4
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5570
dc.descriptionThe 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.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceMatthews V.O.Adewumi A.Misr S.
dc.subjectcontent analysis
dc.subjectMaduro
dc.subjectpolitics
dc.subjectsocial networks
dc.subjectComputation theory
dc.subjectContent analysis
dc.subjectLatin America
dc.subjectMaduro
dc.subjectPolitical events
dc.subjectPolitical participations
dc.subjectpolitics
dc.subjectRapid growth
dc.subjectVenezuela
dc.subjectSocial networking (online)
dc.titleContent analysis on social networks: Exploring the #Maduro hashtag
dc.typeConference Paper


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record