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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprsannals-II-3-W5-325-2015</article-id>
<title-group>
<article-title>PITFALLS AND POTENTIALS OF CROWD SCIENCE: A META-ANALYSIS OF CONTEXTUAL INFLUENCES</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Klippel</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sparks</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wallgrün</surname>
<given-names>J. O.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geography, The Pennsylvania State University University Park, Pennsylvania, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>20</day>
<month>08</month>
<year>2015</year>
</pub-date>
<volume>II-3/W5</volume>
<fpage>325</fpage>
<lpage>331</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 A. Klippel et al.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/II-3-W5/325/2015/isprs-annals-II-3-W5-325-2015.html">This article is available from https://isprs-annals.copernicus.org/articles/II-3-W5/325/2015/isprs-annals-II-3-W5-325-2015.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/II-3-W5/325/2015/isprs-annals-II-3-W5-325-2015.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/II-3-W5/325/2015/isprs-annals-II-3-W5-325-2015.pdf</self-uri>
<abstract>
<p>Crowd science is becoming an integral part of research in many disciplines. The research discussed in this paper lies at the intersection
of spatial and behavioral sciences, two of the greatest beneficiaries of crowd science. As a young methodological development, crowd
science needs attention from the perspective of a rigorous evaluation of the data collected to explore potentials as well as limitations
(pitfalls). Our research has addressed a variety of contextual effects on the validity of crowdsourced data such as cultural, linguistic,
regional, as well as methodological differences that we will discuss here in light of semantics.</p>
</abstract>
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