I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application
By Janne Lindqvist, Justin Cranshaw, Jason Wiese, Jason I. Hong, John Zimmerman. 2011
452 citations recorded by the source corpus.
There have been many location sharing systems developed over the past two decades, and only recently have they started to be adopted by consumers. In this paper, we present the results of three studies focusing on the foursquare check-in system. We conducted interviews and two surveys to understand, both qualitatively and quantitatively, how and why people use location sharing applications, as well as how they manage their privacy. We also document surprising uses of foursquare, and discuss implications for design of mobile social services.
Subfields: Marketing, Sociology and Political Science, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Marketing
- Brent J. Hecht
- Monica Stephens
- Lorrie Faith Cranor
- Laura Brandimarte
- Alessandro Acquisti
- Florian Schaub
- Norman M. Sadeh
- Idris Adjerid
In Sociology and Political Science
- Alexandra Olteanu
- Lorrie Faith Cranor
- Fernando Diaz
- Carlos Castillo
- Florian Schaub
- Norman M. Sadeh
- Laura Brandimarte
- Jason I. Hong
In Human-Computer Interaction
- Florian Schaub
- Lorrie Faith Cranor
- James A. Fogarty
- Alessandro Acquisti
- Kathleen M. Carley
- Sarita Yardi Schoenebeck
- G. Wang
- Saranga Komanduri
Citations in the corpus
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Users were also found to be more likely to “check-in” at public locations (e.g., restaurants) than at private ones (e.g., a doctor’s office) (Lindqvist et al., 2011).”
- Seeing Ourselves Through Technology: How We Use Selfies, Blogs and Wearable Devices to See and Shape Ourselves (2014, unknown): “0007 users find these locales embarrassing (Lindqvist et al. 2011).”
- A Tale of Cities: Urban Biases in Volunteered Geographic Information (2014, background): “If this has an effect on participation rates, it would shed new light on the discussion related to the ecosystem of purposes for location sharing in LBSNs (e.g. Lindqvist et al. 2011).”
- Showing Off? Human Mobility and the Interplay of Traits, Self-Disclosure, and Facebook Check-Ins (2013, background): “They prefer not to check-in at places considered embarrassing, such as fast food restaurants, or boring like school and office (Lindqvist et al., 2011).”
- Beyond "local", "categories" and "friends": clustering foursquare users with latent "topics" (2012, background): “[11] found the most likely reason for a check in was for the gamification aspects of the site, followed by social aspects (e.”
- Data colonialism through accumulation by dispossession: New metaphors for daily data (2015, unknown): “Individuals perceive technology and social media use as pleasurable (Thatcher, 2014b), part of a social norm (boyd and Crawford, 2012), or for explicitly exchange based reasons (Lindqvist et al., 2011) The individual datum produced from a single user at a given time and place (e.”
- Exploring Millions of Footprints in Location Sharing Services (2011, background): “(Lindqvist and others 2011) analyzed how and why people use location sharing services, and discussed the privacy issues related to location sharing services.”
- Privacy Protection for Preventing Data Over-Collection in Smart City (2016, background): “stores the names and phone numbers for meeting attendees, meeting date, and time and attachments within the remark section [30].”
- Nudges for Privacy and Security (2017, background): “Research has shown that social incentives act as an important motivator for using location-sharing applications [Lindqvist et al. 2011].”
- The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2012, unknown): “…an army of graduate students to document New Yorkers in their daily routines (Milgram 1977). shaw and Yano 2010; Noulas et al. 2011; Chang and Sun 2011) and the effects location technologies have over people’s behavior (Lindqvist et al. 2011; Cramer, Rost, and Holmquist 2011; Schwartz 2012).”
- "Will Check-in for Badges": Understanding Bias and Misbehavior on Location-Based Social Networks (2021, background): “This may reduce some of the problems because related experience and knowledge can reduce prediction biases (Fowler 1995).”
- A lived informatics model of personal informatics (2015, background): “The pervasiveness of self-tracking tools has led researchers to study people’s use of commercial tools for tracking location [24,30], finances [20], food [11], weight [19,25], and physical activity [16,34] and to develop research prototypes to expand our understanding of usage [3,8,12,40].”
- Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms (2015, background): “The reason for sharing locations include the desire to connect with users’ social circles and to project an interesting image of themselves [27], [28], thus achieving a goal greater than simply disclosing geographical information [12], [21].”
- State of the Geotags: Motivations and Recent Changes (2017, background): “The sharp difference in magnitude between the top two reasons and the rest adds some nuance to our knowledge: the most commonly cited reasons for geo-255 This does not appear in LBSN research because it doesn’t apply to LBSNs, where checking-in is the app’s purpose.”