ABSTRACT
Location-sharing services have a long history in research, but have only recently become available for consumers. Most popular commercial location-sharing services differ from previous research efforts in important ways: they use manual 'check-ins' to pair user location with semantically named venues rather than tracking; venues are visible to all users; location is shared with a potentially very large audience; and they employ incentives. By analysis of 20 in-depth interviews with foursquare users and 47 survey responses, we gained insight into emerging social practices surrounding location-sharing. We see a shift from privacy issues and data deluge, to more performative considerations in sharing one's location. We discuss performance aspects enabled by check-ins to public venues, and show emergent, but sometimes conflicting norms (not) to check-in.
- Barkhuus, L., Brown, B., Bell, M., Sherwood, S., Hall, M., Chalmers, M. From Awareness to Repartee: Sharing Location Within Social Groups. In Proc. CHI'08, ACM Press (2008), 497--506. Google ScholarDigital Library
- Barkhuus, L. and Tashiro, J. Student socialization in the age of Facebook, In Proc CHI'10, ACM Press (2010), 133--142. Google ScholarDigital Library
- Brown, B., Taylor, A., Izadi, S. et al. Locating family values: a field trial of the whereabouts clock, In Proc. UbiComp'07, ACM Press (2007), 354--371. Google ScholarDigital Library
- Cheng, Z. Caverlee, J., Lee, K., Sui, D. Exploring Millions of Footprints in Location Sharing Services, In Proc. ICWSM'11 (2011).Google Scholar
- Consolvo, S., Smith, I. E., Matthews, T., LaMarca, A. Tabert, J. and Powledge, P. Location disclosure to social relations: why, when, & what people want to share. In Proc. CHI'05, ACM Press (2005), 81--90. Google ScholarDigital Library
- Cramer, H., Ahmet, Z., Rost, M. and Holmquist, L. E. Gamification & location-sharing: some emerging social conflicts. Gamification Workshop at CHI'11, (2011).Google Scholar
- Cranshaw, J., Yano, T. Seeing a home away from the home: Distilling proto-neighborhoods from incidental data with Latent Topic Modeling. NIPS'10, (2010).Google Scholar
- Dalsgaard, P. and Koefoed Hansen, L. Performing perception---staging aesthetics of interaction. ACM Trans on Comp-Human Int 15, 3, ACM Press (2008). Google ScholarDigital Library
- Goffman, E. The Presentation of Self in Everyday Life. Anchor Books (1959), New York, USA.Google Scholar
- Harper, R., Lemming, M. and Newman, W. Locating systems at work: implications for the design of Active Badge Applications. Interacting w. Computers, 4, 3 (1992), 343--363. Google ScholarDigital Library
- Iachello, G., Smith, I., Consolvo, S., Chen, M. and Abowd, G. Developing privacy guidelines for social location disclosure applications and services, In Proc. SOUPS'05, ACM Press (2005), 65--76. Google ScholarDigital Library
- Lederer, S., Mankoff, J., and Dey, A. K. Who wants to know what when? Privacy preference determinants in ubiquitous computing. In Proc. CHI'03, ACM Press (2003), 724--725. Google ScholarDigital Library
- Lindqvist, J., Cranshaw, J., Wiese, J., Hong, H. and Zimmerman, J. I'm the Mayor of My House: Examining Why People Use foursquare, In Proc CHI'11, ACM Press (2011), 2409--2418. Google ScholarDigital Library
- Mashable.com, foursquare reaches 100 Million check-ins, http://t.co/B4anzsX, July 21, 2010Google Scholar
- Marwick, A. and boyd, d. I Tweet Honestly, I Tweet Passionately: Twitter Users, Context Collapse, and the Imagined Audience. New Media & Society 13 (2011), 96--113.Google ScholarCross Ref
- Naaman, M., Boase, J. and Lai, C. Is it Really About Me? Message Content in Social Awareness Streams. In Proc. CSCW'10, ACM Press (2010), 189--192. Google ScholarDigital Library
- Noulas, A Mascolo, C., Scellato, S., Pontil, M. An Empirical Study of Geographic User Activity Patterns in Foursquare, In Proc. ICWSM'11, (2011).Google Scholar
- Page, X. and Kobsa, A. The Circles of Latitude: Adoption and Usage of Location Tracking in Online Social Networking. Computational Science & Engineering 4, IEEE (2009), 1027--1030. Google ScholarDigital Library
- Reeves, S., Benford, S., O'Malley, C. and Fraser, M. Designing the spectator experience, In Proc. CHI'05, ACM Press (2005), 741--750 Google ScholarDigital Library
- Reilly, D., Dearman, D., Ha, V., Smith, I and Ikpen, K. Need to know: examining information need in location discourse, In Proc. Pervasive'06, LNCS (2006), 33--49. Google ScholarDigital Library
- Sadeh, N., Hong, J., Cranor, L. Fette, I., Kelley, P., Prabaker, M. and Rao, J. Understanding and capturing people's privacy policies in a people finder application, J. Pers. & Ubiquitous Computing 13, 6 (2008), 401--412. Google ScholarDigital Library
- Scellato, S., Noulas, A., Lambiotte, R., Mascolo, C. Socio-spatial Properties of Online Location-based Social Networks, In Proc. ICWSM'11, (2011).Google Scholar
- Tang, K., Lin, J., Hong, J., Siewiorek, D. and Sadeh, N. Rethinking Location Sharing: Exploring the Implications of Social-Driven vs. Purpose-Driven Location Sharing, In Proc. UbiComp'10, ACM Press (2010), 85--94. Google ScholarDigital Library
- Toch, E., Cranshaw, J., Hankes-Drielsma, P., et al. Empirical Models of Privacy in Location Sharing, Proc. UbiComp'10, ACM Press (2010), 129--138. Google ScholarDigital Library
- Wagner, D., Lopez, M., Doria, A., Pavlyshak, I., Kostakos, V., Oakley, I. and Spiliotopoulos, T. Hide and Seek: Location Sharing Practices With Social Media, Proc. MobileHCI'10 (2010), 55--59. Google ScholarDigital Library
Index Terms
- Performing a check-in: emerging practices, norms and 'conflicts' in location-sharing using foursquare
Recommendations
Empirical Observation of User Activities: Check-ins, Venue Photos and Tips in Foursquare
WISMM '14: Proceedings of the First International Workshop on Internet-Scale Multimedia ManagementLocation-based social networking platform (e.g., Foursquare), as a popular scenario of participatory sensing system that collects heterogeneous information (such as tips and photos) of venues from users, has attracted much attention recently. In this ...
Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns
MUM '12: Proceedings of the 11th International Conference on Mobile and Ubiquitous MultimediaStudies on human mobility are built on two fundamentally different data sources: manual check-in data that originates from location-based social networks and automatic check-in data that can be automatically collected through various smartphone sensors. ...
Higher Education Check-Ins: Exploring the User Experience of Hybrid Location Sensing
A large body of literature is dedicated to understanding people's check-in behavior when they use location sharing services to pair their location with a venue, e.g., a restaurant, a park, etc. Check-in behavior in higher education settings, e.g., where ...
Comments