Location‐based social media behavior and perception: Views of university students.
Abstract: Location‐based social media (LBSM), a specific type of volunteered geographic information (VGI), is increasingly being used as a spatial data source for researchers in geography and related disciplines. Many questions, though, have been raised about VGI data in terms of its quality and its...
| Published in: | Geographical Review Vol. 108; no. 2; pp. 203 - 225 |
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| Main Authors: | , , , |
| Format: | Abstract |
| Published: |
Taylor & Francis Ltd
Apr2018
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=128313126&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 128313126 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00167428 GOR jtl: Geographical Review issn: 00167428 maglogo: N pubinfo: dt: Apr2018 vid: 108 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 128313126 10.1111/gere.12250 ppf: 203 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 371KB tig: atl: Location‐based social media behavior and perception: Views of university students. aug: au: Haffner, Matthew Mathews, Adam J. Fekete, Emily Finchum, G. Allen su: Social media Geographic information systems Location-based services sug: subj: Social media Geographic information systems Location-based services keyword: geotagging location‐based social media volunteered geographic information geotagging location‐based social media volunteered geographic information ab: Abstract: Location‐based social media (LBSM), a specific type of volunteered geographic information (VGI), is increasingly being used as a spatial data source for researchers in geography and related disciplines. Many questions, though, have been raised about VGI data in terms of its quality and its contributors. While a number of studies have explored users’ demographics and motivations for contribution to explicitly geographic forms of VGI, such as OpenStreetMap and Wikimapia, few have focused on these aspects with implicitly geographic forms of VGI, such as LBSM (for example, Twitter and Instagram). This study, through use of an online survey, specifically assesses the LBSM behavior and perceptions of 253 university students, noting differences found in gender, race, and academic standing. We find that the greatest differences are those between males and females, rather than through race or academic standing, and LBSM appears less biased than other forms of VGI. pubtype: Academic Journal doctype: Abstract src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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