From awareness to repartee: sharing location within social groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
An unobtrusive behavioral model of "gross national happiness"
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SELECT * FROM USER: infrastructure and socio-technical representation
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
A case study of non-adoption: the values of location tracking in the family
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
The geography of taste: analyzing cell-phone mobility and social events
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Comparing the spatial characteristics of corresponding cyber and physical communities: a case study
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Sentiment analysis on evolving social streams: how self-report imbalances can help
Proceedings of the 7th ACM international conference on Web search and data mining
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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.