2018
DOI: 10.5194/ica-proc-1-131-2018
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Volunteered geographical information, crowdsourcing, citizen science and neogeography are not the same

Abstract: <p><strong>Abstract.</strong> The terms user-generated content, volunteered geographical information, crowdsourcing, citizen science and neogeography are elucidated. The purpose is to expose the range of meanings associated with these terms, and to promote consensus as to their scope and meaning, thereby enhancing the clarity with which discourse around these phenomena may occur, both in the research and popular context.</p>

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Cited by 8 publications
(6 citation statements)
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“…Various terms are used to distinguish between the different ways in which geospatial data are collected collaboratively, however, the terms are not mutually exclusive. For example, user generated content refers to material that is contributed by the public to a website; crowdsourcing refers to the enlisting of a large number of people, either paid or unpaid, to collect information via the Internet; in citizen science, data about the natural world is collected by the general public for analysis by professional scientists [71]; and in community science, a special case of citizen science, the community takes a more active role by participating in the design and planning of the data collection [1]. Depending on how data were collected, one or more of these terms could apply to a particular subset of collaboratively contributed open geospatial data.…”
Section: Collaboratively Contributed Open Geospatial Datamentioning
confidence: 99%
“…Various terms are used to distinguish between the different ways in which geospatial data are collected collaboratively, however, the terms are not mutually exclusive. For example, user generated content refers to material that is contributed by the public to a website; crowdsourcing refers to the enlisting of a large number of people, either paid or unpaid, to collect information via the Internet; in citizen science, data about the natural world is collected by the general public for analysis by professional scientists [71]; and in community science, a special case of citizen science, the community takes a more active role by participating in the design and planning of the data collection [1]. Depending on how data were collected, one or more of these terms could apply to a particular subset of collaboratively contributed open geospatial data.…”
Section: Collaboratively Contributed Open Geospatial Datamentioning
confidence: 99%
“…Wikipedia is perhaps the most widely-cited example of open knowledge production through crowdsourcing, but other examples abound (Elwood et al 2013). The data resulting from crowdsourcing are sometimes referred to as usergenerated content (UGC), which is generally placed in contrast to professionally-generated content (Cooper et al 2017). Importantly, though, some of the neoliberal elements of crowdsourcing's inception remain, and scholars have criticized how even well-intentioned crowdsourcing efforts can responsibilize citizens to collect their own data and then exploit that data for profit (e.g., Leszczynski 2013).…”
Section: Volunteer Geographic Information In the Global Southmentioning
confidence: 99%
“…VGI is regularly framed as a subset of crowdsourcing, although the terms do not perfectly overlap (Cooper et al 2017). This term was first introduced by geographer Michael Goodchild (2008) to refer to the ways in which citizens can now use GPS units (often embedded in mobile devices) to act as 'voluntary sensors' to collectively produce geospatial intelligence.…”
Section: Volunteer Geographic Information In the Global Southmentioning
confidence: 99%
“…3)and, in fact, these two terms are generally more widespread in geographic journals than the "citizen science" term. As emphasized by Cooper et al (2017), the concepts of volunteered geographic information, crowdsourcing, neogeography and citizen science are sometimes confused with Nevertheless, the use of the citizen science approach relies on a wider acceptance of this method by the scientific community and academic journals. Gadermaier et al (2018) outlined five factors that influence the probability of publication using citizen science data in open-accessed peer-reviewed scientific journals.…”
Section: Citizen Science and Geographymentioning
confidence: 99%