Working the fields of big data

Using big-data-augmented online ethnography to study candidate–candidate interaction at election time

Dados Bibliográficos

ID12972164
AutoresSalla-Maaria Laaksonen (0000-0003-3532-2387, University of Helsinki, autor correspondente), Matti Nelimarkka (0000-0001-9867-692X), Mari Tuokko, Mari Marttila, Arto Kekkonen (0000-0001-6058-0025), Mikko Villi (0000-0001-6935-9386)
Ano2017
Volume14
Fascículo2
Páginas110-131
Data de publicação2017-01-17
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Information Technology & Politics (JOURNAL)
Identificadores do periódicoISSN: 1933-169X • E-ISSN: 1933-1681
EditoraRoutledge (PUBLISHER • GB)
DOI10.1080/19331681.2016.1266981
OpenAlexW2572953362
IdiomaEN
Citações recebidas21
Referências citadas74

The paper proposes big-data-augmented ethnography as a novel mixed-methods approach to studying political discussions in a hybrid media system. Using such empirical setup, the authors examined candidate–candidate online interaction during election campaigning. Candidate–candidate interaction crossing party boundaries is scarce and occurs in the form of negative campaigning via social media, with the shaming of rival candidates and engaging in battles with them. The authors posit that ethnographic observations can be used to contextualize the computational analysis of large data sets, while computational analysis can be applied to validate and generalize the findings made through ethnography

Big data · Computational sociology · Data mining · Data science · Ethnography · Political science · Politics · Social media · Sociology · World Wide Web · Computational and Text Analysis Methods · Computer Science · Opinion Dynamics and Social Influence · Social Media and Politics