Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Today, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback.

Original languageEnglish
Title of host publicationHCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages63-66
Number of pages4
ISBN (Print)9783319405414
DOIs
StatePublished - 1 Jan 2016
Event18th International Conference on Posters’ Extended Abstracts, HCI International 2016 - Toronto, Canada
Duration: 17 Jul 201622 Jul 2016

Publication series

NameCommunications in Computer and Information Science
Volume618
ISSN (Print)1865-0929

Conference

Conference18th International Conference on Posters’ Extended Abstracts, HCI International 2016
CountryCanada
CityToronto
Period17/07/1622/07/16

Keywords

  • Content analysis
  • Mass media
  • Social networks

Fingerprint Dive into the research topics of 'Facilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption'. Together they form a unique fingerprint.

Cite this