Representation and communication: challenges in interpreting large social media datasets

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.

[1]  Cecilia Mascolo,et al.  An Empirical Study of Geographic User Activity Patterns in Foursquare , 2011, ICWSM.

[2]  Mor Naaman,et al.  Is it really about me?: message content in social awareness streams , 2010, CSCW '10.

[3]  Jed R. Brubaker,et al.  SELECT * FROM USER: infrastructure and socio-technical representation , 2011, CSCW.

[4]  Frank Bentley,et al.  Guest editorial Preface on Special Issue : An Introduction to Research in the Large , 2011 .

[5]  Ed H. Chi,et al.  Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles , 2011, CHI.

[6]  Henriette Cramer,et al.  Performing a check-in: emerging practices, norms and 'conflicts' in location-sharing using foursquare , 2011, Mobile HCI.

[7]  Bernardo A. Huberman,et al.  Rhythms of social interaction: messaging within a massive online network , 2006, ArXiv.

[8]  D. Boyd,et al.  Six Provocations for Big Data , 2011 .

[9]  Winton Bates,et al.  Gross National Happiness , 2009 .

[10]  Matthew Chalmers,et al.  From awareness to repartee: sharing location within social groups , 2008, CHI.

[11]  Frank Bentley,et al.  An introduction to Research in the Large , 2011 .

[12]  Ian Hacking,et al.  Rewriting the Soul: Multiple Personality and the Sciences of Memory , 1997 .

[13]  Cecilia Mascolo,et al.  Socio-Spatial Properties of Online Location-Based Social Networks , 2011, ICWSM.

[14]  Asimina Vasalou,et al.  A case study of non-adoption: the values of location tracking in the family , 2012, CSCW.

[15]  Carlo Ratti,et al.  The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events , 2010, Pervasive.

[16]  Justin Cranshaw Seeing a home away from the home : Distilling proto-neighborhoods from incidental data with Latent Topic Modeling , 2010 .

[17]  Sarita Albagli,et al.  Memory Practices in the Sciences , 2008 .

[18]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[19]  Norman M. Sadeh,et al.  The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.

[20]  Kyumin Lee,et al.  Exploring Millions of Footprints in Location Sharing Services , 2011, ICWSM.

[21]  Adam D. I. Kramer An unobtrusive behavioral model of "gross national happiness" , 2010, CHI.

[22]  John Zimmerman,et al.  I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application , 2011, CHI.

[23]  Stephen Gough,et al.  An Introduction to Research , 2004 .

[24]  David Bawden,et al.  Memory Practices in the Sciences , 2007 .

[25]  M. Poster The Mode of Information: Poststructuralism and Social Context , 1990 .