Working the fields of big data

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

Datos Bibliográficos

ID12972164
AutoresSalla-Maaria Laaksonen (0000-0003-3532-2387, University of Helsinki, autor de correspondencia), Matti Nelimarkka (0000-0001-9867-692X), Mari Tuokko, Mari Marttila, Arto Kekkonen (0000-0001-6058-0025), Mikko Villi (0000-0001-6935-9386)
Año2017
Volumen14
Número2
Páginas110-131
Fecha de publicación2017-01-17
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Information Technology & Politics (JOURNAL)
Identificadores de la revistaISSN: 1933-169X • E-ISSN: 1933-1681
EditorialRoutledge (PUBLISHER • GB)
DOI10.1080/19331681.2016.1266981
OpenAlexW2572953362
IdiomaEN
Citas recibidas21
Referencias 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