PL EN


2018 | 3(29) | 35-62
Article title

Using crowdsourcing for research projects

Authors
Content
Title variants
EN
Zastosowanie crowdsourcingu w projektach badawczych
Languages of publication
EN PL
Abstracts
EN
The phenomenon of crowdsourcing – enabling the crowd to get involved in the activities of an organization by means of new media (Estelles – Arolas, Gonzales – Lordon – de – Guevara, 2012) – is drawing the attention of research teams. It is successfully used by the biggest scientific centres both in case of life sciences and humanities. The following article is supposed to compare various strategies of applying this phenomenon to the creation and dissemination of knowledge. 40 crowdsourcing projects were subject to exploratory observation. Their description was based on the desk research analysis of Internet websites, applications and other Internet sources. On the basis of variables describing the ordered task, the character of the crowd, incentives built into the process and the method of providing answers an empirically rooted classification of the described projects was created. Its detailed description made it possible to highlight the ways research teams use crowdsourcing and to define the areas which the authors should take into consideration planning the utilization of this phenomenon in their work: connecting the kind of the offered task with the moment of the research process at which it is applied, defining the level of expertise necessary to carry out the task, building into the process appropriate incentives and choosing the appropriate method of verifying answers.
PL
Zjawisko crowdsourcingu – włączania tłumu w działania organizacji za pomocą nowych mediów (Estelles – Arolas, Gonzales – Lordon – de – Guevara, 2012) – zdobywa coraz większe zainteresowanie wśród zespołów badawczych. Z powodzeniem jest stosowany przez największe ośrodki naukowe zarówno w naukach przyrodniczych jak i humanistycznych. Poniższy artykuł ma na celu porównanie różnych strategii zastosowania tego fenomenu do tworzenia i rozpowszechniania wiedzy. Eksploracyjnej obserwacji poddano 40 projektów crowdsourcingowych. Ich opis oparto na analizie desk research stron internetowych, aplikacji i innych źródeł internetowych. Na podstawie zmiennych opisujących zlecane zadanie, charakter tłumu, wbudowane w proces motywatory oraz sposób udzielania odpowiedzi, stworzono empirycznie zakorzenioną klasyfikację opisywanych projektów. Jej szczegółowy opis pozwolił na przybliżenie sposobów wykorzystywania crowdsourcingu przez zespoły badawcze oraz wyznaczenie obszarów, które autorzy powinni wziąć pod uwagę planując wykorzystanie tego zjawiska w swojej pracy: powiązanie rodzaju oferowanego zdania z momentem procesu badawczego w jakim jest stosowany, zdefiniowanie koniecznego do jego wykonania poziomu ekspertyzy, wbudowanie w proces odpowiednich motywatorów oraz dobranie odpowiedniej metody weryfikacji odpowiedzi.
Publisher
Year
Issue
Pages
35-62
Physical description
Dates
online
2018-09
Contributors
  • Uniwersytet Jagielloński
References
  • Aldenderfer, M.S., Blashfield, R.K. (1984). Cluster Analysis. Sage Publications, Inc.
  • Alon, U. (2010). How to Build a Motivated Research Group. Molecular Cell, 37, 151–152.
  • Assis Neto, F.R., Santos, C.A.S. (2018). Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management. Information Processing and Management, 54, 490–506.
  • Bottom, W., Ladha, K., Miller, G. (2002). Propagation of individual bias through group judgement: Error in the treatment of asymmetrically informative signals. The Journal of Risk and Uncertainty, 25, 147–163.
  • Brabham, D.C. (2009). Crowdsourcing the Public Participation Process for Planning Projects. Planning Theory, 8, 242–262.
  • Brabham, D.C. (2013). Crowdsourcing: a model for leveraging online communities. W: A. Delwiche (red.), J.J. Henderson (red.), The Participatory Cultures Handbook (120–129). New York: Routledge.
  • Castells, M. (2013). Networks of Outrage and Hope: Social Movements in the Internet Age. Cambridge: Polity Press, pp. 31–44.
  • Chrisidu-Budnik, A., Korczak, J. (2014). Crowdsourcing — aktywizacja społeczności lokalnej do wspólnego działania. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocałwiu, 372, 60–72.
  • Cranshaw Justin, Kittur Aniket (2011) The polymath project: lessons from a successful online collaboration in mathematics. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’11, 1865–1874
  • Estelles — Arolas, E., Gonzales — Lordon — de — Guevara, F. (2012). Towards an integrated crowdsourcing definition. Journal of Information Science, 38, 189–200.
  • Gatautis, R. (2014). Crowdsourcing Application in Marketing Activities. Procedia —Social and Behavioral Sciences, 110, 1243–1250.
  • Ghezzi, A., Gabelloni, D., Martini, A., Natalicchio, A. (2018). Crowdsourcing: A Review and Sugestions for Future Research. International Journal of Management Reviews, 20, 343–363.
  • Hosseini, M., Shahri, A., Phalp, K., Taylor, J., Ali, R. (2015). Crowdsourcing: A taxonomy and systematic mapping study. Computer Science Review, 17, 43–69.
  • Howe, J. (2006), The rise of Crowdsourcing. Wired Magazine, 14.
  • Hutt, H., Everson, R., Grant, M., Love, J., Littlejohn, G. (2013), How clumpy is my image? Evaluating crowdsourced annotation tasks, Computational Intelligence (UKCI), 13th UK Workshop, s.136–143.
  • Johnson, S. (2010). Where Good Ideas Come From: The Natural History of Innovation. Riverhead Books.
  • Khatib, F., DiMaio, F., Foldit Contenders Group, Foldit Void Crushers Group, Cooper, S., Kazmierczyk, M., Gilski, M., Krzywda, S., Zabranska, H., Pichova, I., Thompson, J., Popović, Z., Jaskolski, M., Baker, D. (2011), Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nature Structural and Molecular Biology, 18, 1175–1177.
  • Kietzmann, J.H. (2017). Crowdsourcing: A revised definition and introduction to new research. Business Horizons, 60, 151–153.
  • Kopeć, K.D. (2016). Digital participation in cultural heritage. The case of open monuments crowdsourcing platform. Journal of Modern Science, 1/28, 47–64.
  • Lenart-Gansiniec, R. (2017). Crowdsourcing — systematyczny przegląd literatury. Przegląd Organizacji, 3/2017, 25–34.
  • Levy, P. (1997). Collective Intelligence: Mankind's Emerging World in Cyberspace?. Plenum Trade.
  • Malone, T.W., Laubacher, R., Dellarocas, C. (2009) Harnessing crowds: Mapping the genome of collective intelligence. Massachusetts Institute of Technology, Working Paper No. 2009–001, 1–0.
  • McGonigal, J. (2011). Reality is Broken: Why Games Make Us Better and How They Can Change the World. Jonathan Cape.
  • Nielsen, M. (2011). Reinventing discovery: the new era of networked science., Princeton University Press, 13–89.
  • Rallapalli, G., Fraxinus Players, Saunders, D.G., Yoshida, K., Edwards, A., Lugo, C.A., Colin, S., Clavijo, B., Corpas, M., Swarbreck, D., Clark, M., Downie, J.A., Kamoun, S., Cooper, T., MacLean, D. (2015). Lessons from Fraxinus, a crowd-sourced citizen science game in genomics. eLife, 4, e07460.
  • Robbins, S.J., Antonenko, I., Kirchoff, M.R., Chapman, C.R., Fassett, C.I., Herrick, R.R., Singer, K., Zanetti, M., Lehan, C., Huang, D., Gay, P.L., (2014) The variability of crater identification among expert and community crater analysts. Icarus, Volume 234, s. 109–131.
  • Schenk, E., Guittard, C. (2011). Towards a characterization of crowdsourcing practices. Journal of Innovation Economics & Management, 1, 93–107.
  • Sullivan, B.L., Wood, C.L., Iliff, M.J., Bonney, R.E., Fink, D., Kelling, S. (2009). eBird: A citizen-based bird observation network in the biological sciences. Biological Conservation, 142, 2282–2292.
  • Sunstein, C. (2009), Infotopia: How Many Minds Produce Knowledge. Oxford University Press, 11–81.
  • Surowiecki, J., (2010). The Wisdom of Crowds. OnePress.
  • Wazny, K. (2017). „Crowdsourcing” ten years in: A review. Journal of Global Health, 7, 1–13.
  • Woolley, A.W., Chabris, C.F., Pentland, A., Hashmi, N., Malone, T.W. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330, 686–688.
Notes
EN
Available in Open Access. (EN)
PL
Publikacja w otwartym dostępie (Open Access).
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.desklight-7845b0a3-76d6-4cd0-9d53-ae2d26657e46
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.