Difference between revisions of "Crowdsourcing Bibliography"
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− | + | * Schenk, E. & Guittard, C. (2011). [https://www.cairn.info/revue-journal-of-innovation-economics-2011-1-page-93.htm Towards a characterization of crowdsourcing practices]. Journal of Innovation Economics & Management, 7(1), 93-107. doi:10.3917/jie.007.0093. | |
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− | + | According to this article, we are doing a form of "content crowdsourcing" that can be referred to as Integrative Crowdsourcing | |
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+ | <quote>Integrative CS will be relevant when the client firm seeks to build data or information bases. Therefore Integrative CS is a form of content Crowdsourcing. While gathering information or data at an individual’s level can be unproblematic, building a data base generally requires significant amounts of resources. The rationale of integrative CS therefore lies in the cost of building large data or information bases. Since individuals within the crowd are heterogeneous, Crowdsourcing enables the client firm to gather a variety of contents. The firm seeking to implement integrative CS should however be aware of integration issues. Data or information stemming from various origins might be incompatible or redundant if no precaution is taken. Precautions include the definition of a data format and the sound selection of data sources.</quote> | ||
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+ | * Simperl, E. (2015). [https://www.liberquarterly.eu/articles/10.18352/lq.9948/ How to Use Crowdsourcing Effectively: Guidelines and Examples]. LIBER Quarterly, 25(1), 18–39. DOI: http://doi.org/10.18352/lq.9948 | ||
+ | * Terras, M.M. (2016). [http://discovery.ucl.ac.uk/1447269/1/MTerras_Crowdsourcing%20in%20Digital%20Humanities_Final.pdf Crowdsourcing in the Digital Humanities] In Schreibman, S., Siemens, R., and Unsworth, J. (eds), (2016) "A New Companion to Digital Humanities", (p. 420 –439). Wiley-Blackwell. |
Revision as of 17:00, 16 June 2019
Data extraction examples:
- Brohan, Philip (n.d.) New Uses for Old Weather
- Old Weather (website)
- Weather Rescue (website)
General articles
- Schenk, E. & Guittard, C. (2011). Towards a characterization of crowdsourcing practices. Journal of Innovation Economics & Management, 7(1), 93-107. doi:10.3917/jie.007.0093.
According to this article, we are doing a form of "content crowdsourcing" that can be referred to as Integrative Crowdsourcing
<quote>Integrative CS will be relevant when the client firm seeks to build data or information bases. Therefore Integrative CS is a form of content Crowdsourcing. While gathering information or data at an individual’s level can be unproblematic, building a data base generally requires significant amounts of resources. The rationale of integrative CS therefore lies in the cost of building large data or information bases. Since individuals within the crowd are heterogeneous, Crowdsourcing enables the client firm to gather a variety of contents. The firm seeking to implement integrative CS should however be aware of integration issues. Data or information stemming from various origins might be incompatible or redundant if no precaution is taken. Precautions include the definition of a data format and the sound selection of data sources.</quote>
- Simperl, E. (2015). How to Use Crowdsourcing Effectively: Guidelines and Examples. LIBER Quarterly, 25(1), 18–39. DOI: http://doi.org/10.18352/lq.9948
- Terras, M.M. (2016). Crowdsourcing in the Digital Humanities In Schreibman, S., Siemens, R., and Unsworth, J. (eds), (2016) "A New Companion to Digital Humanities", (p. 420 –439). Wiley-Blackwell.