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We present a big social media data study that comprises of 1 million individuals who interact with Facebook pages of the seven major political parties CDU, CSU, SPD, FDP, Greens, Die Linke and AfD during the 2017 German federal election. Our study uses the Social Set Analysis (SSA) approach, which is based on the sociology of associations, mathematics of set theory, and advanced visual analytics of event studies. We illustrate the capabilities of SSA through the most recent version of our Social Set Analysis (SoSeVi) tool, which enables us to deep dive into Facebook activity concerning the election. We explore a significant gender-based difference between female and male interactions with political party Facebook pages. Furthermore, we perform a multi-faceted analysis of social media interactions using gender detection, user segmentation and retention analysis, and visualize our findings. In conclusion, we discuss the analytical approach of social set analysis and conclude with a discussion of the benefits of set theoretical approaches based on the social philosophical approach of associational sociology.

Publication information

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE International Conference on Big Data : BIGDATA
Place of PublicationBoston, USA
PublisherIEEE
Publication date2017
Pages2638-2647
StatePublished - 2017
Event2017 IEEE International Conference on Big Data - Boston, United States
Duration: 11 Dec 201714 Dec 2017
http://cci.drexel.edu/bigdata/bigdata2017/

Conference

Conference2017 IEEE International Conference on Big Data
LandUnited States
ByBoston
Periode11/12/201714/12/2017
Internetadresse

Bibliographical note

CBS Library does not have access to the material

    Research areas

  • Big social media data, Social set analysis, Big data visual analytics, Facebook, 2017 German federal election, Bundestagswahl, CDU, CSU, SPD, FDP, Grüne, AfD, Linke

ID: 55360543