Detecting spammers and content promoters in online video social networks
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Video interactions in online video social networks
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Analysis of a Location-Based Social Network
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Distance matters: geo-social metrics for online social networks
WOSN'10 Proceedings of the 3rd conference on Online social networks
@spam: the underground on 140 characters or less
Proceedings of the 17th ACM conference on Computer and communications security
Detecting and characterizing social spam campaigns
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
A recommendation system for spots in location-based online social networks
Proceedings of the 4th Workshop on Social Network Systems
Design and Evaluation of a Real-Time URL Spam Filtering Service
SP '11 Proceedings of the 2011 IEEE Symposium on Security and Privacy
Exploiting place features in link prediction on location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Friendship and mobility: user movement in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Characterizing user navigation and interactions in online social networks
Information Sciences: an International Journal
U2SOD-DB: a database system to manage large-scale ubiquitous urban sensing origin-destination data
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
We know where you live: privacy characterization of foursquare behavior
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Learning to rank for spatiotemporal search
Proceedings of the sixth ACM international conference on Web search and data mining
Detecting overlapping communities in location-based social networks
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Detecting tip spam in location-based social networks
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Detection of spam tipping behaviour on foursquare
Proceedings of the 22nd international conference on World Wide Web companion
Detecting profilable and overlapping communities with user-generated multimedia contents in LBSNs
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Using micro-reviews to select an efficient set of reviews
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
O uso de uma rede geossocial nas cidades brasileiras e sua relação com fatores socioeconômicos
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Online Location Based Social Networks (LBSNs), which combine social network features with geographic information sharing, are becoming increasingly popular. One such application is Foursquare, which doubled its user population in less than six months. Among other features, Foursquare allows users to leave tips (i.e., reviews or recommendations) at specific venues as well as to give feedback on previously posted tips by adding them to their to-do lists or marking them as done. In this paper, we analyze how Foursquare users exploit these three features - tips, dones and to-dos - uncovering different behavior profiles. Our study reveals the existence of very active and influential users, some of which are famous businesses and brands, that seem engaged in posting tips at a large variety of venues while also receiving a great amount of user feedback on them. We also provide evidence of spamming, showing the existence of users that post tips whose contents are unrelated to the nature or domain of the venue where the tips were left.