Representation and communication: Challenges in interpreting large social media datasets
2013 (English)In: CSCW 2013, Proceedings of the 2013 conference on Computer supported cooperative work, New York: Association for Computing Machinery (ACM), 2013, 357-362 p.Conference paper (Refereed)
Online services provide a range of opportunities for understanding human behaviour through the large aggregate data sets that their operation collects. Yet the data sets they collect do not unproblematically model or mirror the world events. In this paper we use data from Foursquare, a popular location check-in service, to argue for the importance of analysing social media as a communicative rather than representational system. Drawing on logs of all Foursquare check-ins over eight weeks we highlight four features of Foursquare’s use: the relationship between attendance and check-ins, event check-ins, commercial incentives to check-in, and lastly humorous check-ins. These points show how large data analysis is affected by the end user uses to which social networks are put.
Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2013. 357-362 p.
Social media, location-based services, empirical methods
Research subject Human-Machine-Interaction (MMI)
IdentifiersURN: urn:nbn:se:su:diva-86110DOI: 10.1145/2441776.2441817ISBN: 978-1-4503-1331-5OAI: oai:DiVA.org:su-86110DiVA: diva2:586180
The 16th ACM Conference, (CSCW 2013), San Antonio, Texas, Feb 23-27, 2013