Crowdsourcing for Information Visualization: Promises and Pitfalls

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Crowdsourcing and Human-Centered Experiments

• Publication date

  2017-09-28

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-319-66435-4_5
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2015cited by this paper
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  2015cited by this paper
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  2014cited by this paper
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  2014cited by this paper
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  2014cited by this paper
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  2014cited by this paper
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  2014cited by this paper
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  2014cited by this paper
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  2013cited by this paper
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  2013cited by this paper
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  2013cited by this paper
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  2013cited by this paper
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  2012cited by this paper
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  2012cited by this paper
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  2011cited by this paper
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  2011cited by this paper
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  2011cited by this paper
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  2011cited by this paper
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  2011cited by this paper
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  2011cited by this paper
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  2011influential reference
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  2011cited by this paper
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  2010cited by this paper
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  2010cited by this paper
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  2010cited by this paper
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  2010influential reference
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  2010cited by this paper
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  2010cited by this paper
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  2009cited by this paper
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  2009cited by this paper
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  2009cited by this paper
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  2009cited by this paper
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  2009cited by this paper
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  2009cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2007cited by this paper
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  2007cited by this paper
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  2006cited by this paper
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  2006cited by this paper
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  2005cited by this paper
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  2004cited by this paper
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  2004cited by this paper
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  2003cited by this paper
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  1999cited by this paper
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  1997cited by this paper
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  1997cited by this paper
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  1996cited by this paper
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  1994cited by this paper
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  1993cited by this paper
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  1990cited by this paper
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  1980cited by this paper
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  1977cited by this paper
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  1973cited by this paper
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  1971cited by this paper
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  1969influential reference
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  year unknowninfluential reference

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  2018influential citation
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