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Measurement and analysis of tips in foursquare
2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016Being a leading online service providing both local search and social networking functions, Foursquare has attracted tens of millions of users all over the world. As a location-centric platform, Foursquare maintains the information of numerous venues, and it has recorded a tremendous amount of users' tips for these venues.
Yang Chen 0001 +3 more
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Polarity analysis of micro reviews in foursquare
Proceedings of the 19th Brazilian symposium on Multimedia and the web, 2013On Foursquare, one of the currently most popular location-based social networks, users can not only share which places (venues) they visit but also leave short comments (tips) about their previous experiences at specific venues. Tips may provide a valuable feedback for business owners as well as for potential new customers.
Felipe Moraes +4 more
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Detection of spam tipping behaviour on foursquare
Proceedings of the 22nd International Conference on World Wide Web, 2013In Foursquare, one of the currently most popular online location based social networking sites (LBSNs), users may not only check-in at specific venues but also post comments (or tips), sharing their opinions and previous experiences at the corresponding physical places.
Anupama Aggarwal +2 more
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Polarity Detection of Foursquare Tips
2013In location-based social networks, such as Foursquare, users may post tips with their opinions about visited places. Tips may directly impact the behavior of future visitors, providing valuable feedback to business owners. Sentiment or polarity detection has attracted great attention due to its vast applicability in opinion summarization, ranking or ...
Felipe Moraes +5 more
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Foursquare and identity: Checking-in and presenting the self through location
New Media & Society, 2016Foursquare is a location-based social network (LBSN) that allows people to share their location with friends by ‘checking-in’ at a given place using their smartphone. The application can also access the location-based recommendations left by other users.
Saker, Michael, Evans, Leighton
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Sentiment Analysis of Portuguese Comments from Foursquare
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016Sentiment Analysis is an emerging research area applied to social media to find useful information from specific topics, such as service or product quality, or even general contexts as marketing, politics and economy. Although there are numerous studies using Sentiment Analysis, few of them address the Portuguese language, because of the language ...
Thais G. Almeida +4 more
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The Impact of Foursquare Checkins on Users’ Emotions on Twitter
2020Performing observational studies based on social network content has recently gained attraction where the impact of various types of interruptions has been studied on users’ behavior. There has been recent work that have focused on how online social network behavior and activity can impact users’ offline behavior.
Seyed Amin Mirlohi Falavarjani +2 more
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Analysis of Urban Regions Popularity Using Foursquare
Anais do Simpósio Brasileiro de Sistemas Multimídia e Web (WEBMEDIA), 2018With the raising of social networks and social sensing, several methods and applications focused on urban and economic analysis emerged to assist urban planning and business solutions. Thus, the inhabitants of a city share social data according to their context, acting as sensors.
André S. Xavier +3 more
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Nancy Pelosi: Foursquare for Science
Science, 2009Last week, the scientific community held three events that paid tribute to House Speaker Nancy Pelosi9s successful advocacy of science. In the course of her "science day," Pelosi agreed to field a few questions from Science.
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Analyzing Foursquare Check-Ins
2013Location-based services—especially on mobile phones—are growing dramatically. With an ever increasing number of GPS-enabled smartphones in use, location data is adding a whole new dimension of applications, including advertising, recommendations of nearby businesses, and weather.
Peter Zadrozny, Raghu Kodali
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