Exploring place through user-generated content: Using Flickr tags to describe city cores

Terms used to describe city centers, such as Downtown, are key concepts in everyday or vernacular language. Here, we explore such language by harvesting georeferenced and tagged metadata associated with 8 million Flickr images and thus consider how large numbers of people name city core areas. The nature of errors and imprecision in tagging and georeferencing are quantified, and automatically generated precision measures appear to mirror errors in the positioning of images. Users seek to ascribe appropriate semantics to images, though bulk-uploading and bulk-tagging may introduce bias. Between 0.5–2% of tags associated with georeferenced images analyzed describe city core areas generically, while 70% of all georeferenced images analyzed include specific place name tags, with place names at the granularity of city names being by far the most common. Using Flickr metadata, it is possible not only to describe the use of the term Downtown across the USA, but also to explore the borders of city center neighborhoods at the level of individual cities, whilst accounting for bias by the use of tag profiles.

[1]  Mor Naaman,et al.  Why we tag: motivations for annotation in mobile and online media , 2007, CHI.

[2]  Adam Mathes,et al.  Folksonomies-Cooperative Classification and Communication Through Shared Metadata , 2004 .

[3]  Reginald G. Golledge,et al.  Cities, Space and Behavior: The Elements of Urban Geography , 1978 .

[4]  Megan A. Winget,et al.  USER-DEFINED CLASSIFICATION ON THE ONLINE PHOTO SHARING SITE FLICKR…OR, HOW I LEARNED TO STOP WORRYING AND LOVE THE MILLION TYPING MONKEYS , 2006 .

[5]  L. Steels.  Collaborative tagging as distributed cognition , 2006 .

[6]  Jon M. Kleinberg,et al.  Mapping the world's photos , 2009, WWW '09.

[7]  Mor Naaman,et al.  World explorer: visualizing aggregate data from unstructured text in geo-referenced collections , 2007, JCDL '07.

[8]  Michael F. Goodchild,et al.  Where's Downtown?: Behavioral Methods for Determining Referents of Vague Spatial Queries , 2003 .

[9]  Carsten Keßler,et al.  Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags , 2009, GeoS.

[10]  José Luis Vicedo González,et al.  Georeferencing: The geographic associations of information , 2007, J. Assoc. Inf. Sci. Technol..

[11]  Ray R. Larson,et al.  A comparison of geometric approaches to assessing spatial similarity for GIR , 2008, Int. J. Geogr. Inf. Sci..

[12]  Clare Davies,et al.  User Needs and Implications for Modelling Vague Named Places , 2009, Spatial Cogn. Comput..

[13]  Wei Vivian Zhang,et al.  Geographic intention and modification in web search , 2008, Int. J. Geogr. Inf. Sci..

[14]  Dhev Anandh Maharaj,et al.  THE CENTRAL BUSINESS DISTRICT OF , 2003 .

[15]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[16]  Marieke Guy,et al.  Folksonomies: Tidying Up Tags? , 2006, D Lib Mag..

[17]  P. Schmitz,et al.  Inducing Ontology from Flickr Tags , 2006 .

[18]  Roelof van Zwol,et al.  Flickr tag recommendation based on collective knowledge , 2008, WWW.

[19]  Mor Naaman,et al.  Methods for extracting place semantics from Flickr tags , 2009, TWEB.

[20]  Michael Ridland.  Geographic Objects with Indeterminate Boundaries: By Peter A Burrough and Andrew U Frank (Eds) , 1997 .

[21]  Keith C. Clarke,et al.  Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup. , 2007, IEEE Transactions on Visualization and Computer Graphics.

[22]  Jochen Schaab,et al.  Automated Footprint Generation from Geotags with Kernel Density Estimation and Support Vector Machines , 2009, Spatial Cogn. Comput..

[23]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[24]  David J. Unwin,et al.  Defining and Delineating the Central Areas of Towns for Statistical Monitoring Using Continuous Surface Representations , 2000, Trans. GIS.

[25]  Tero Ojanpera,et al.  The power of collective intelligence , 2011, 2011 IEEE Technology Time Machine Symposium on Technologies Beyond 2020.

[26]  Kevin Lynch,et al.  The Image of the City , 1960 .

[27]  David O'Sullivan,et al.  Geographic Information Analysis , 2002 .

[28]  Achille C. Varzi,et al.  Fiat and Bona Fide Boundaries , 2000 .

[29]  Torsten Suel,et al.  Analysis of geographic queries in a search engine log , 2008, LocWeb.

[30]  Josep Blat,et al.  Explicit Disclosure of Location Information , 2007 .

[31]  Hideo Joho,et al.  Spatially-Aware Information Retrieval on the Internet , 2022 .

[32]  Josep Blat,et al.  Digital Footprinting: Uncovering Tourists with User-Generated Content , 2008, IEEE Pervasive Computing.

[33]  Andreas Henrich,et al.  Determining geographic representations for arbitrary concepts at query time , 2008, LocWeb.

[34]  Bernardo A. Huberman,et al.  The Structure of Collaborative Tagging Systems , 2005, ArXiv.