Cited By
View all- Shih P(2018)Beyond Human-in-the-Loop: Empowering End-Users with Transparent Machine LearningHuman and Machine Learning10.1007/978-3-319-90403-0_3(37-54)Online publication date: 8-Jun-2018
Crowd Dynamics: Exploring Conflicts and Contradictions in Crowdsourcing
Authors: 
Karin Hansson, Michael Muller, Tanja Aitamurto, Lilly Irani, Athanasios Mazarakis, Neha Gupta, and 
Thomas LudwigAuthors Info & Claims
Karin Hansson, Michael Muller, Tanja Aitamurto, Lilly Irani, Athanasios Mazarakis, Neha Gupta, and Thomas LudwigAuthors Info & ClaimsMay 2016
Pages 3604 - 3611
Abstract
Unfair reputation systems, slow payments, lack of transparency, and socio-spatial inequalities are only some of the many reasons for conflicts in crowdsourcing. The divisive logic of the system and the sharing processes in the peer-community create interesting dynamics and new foci on old conflicts. In this workshop we explore the reasons, processes, power relations, and dynamics of conflicts within crowdsourcing. We invite participants from a diversity of disciplines and perspectives to contribute with insights from different types of crowdsourcing, and thereby deepen our understanding of the relations in contexts such as crowd-work, crowdfunding, peer-production and citizen science. Furthermore, we examine strategies for accommodating differences in crowdsourcing environments.
References
[1]
Aleksi Aaltonen and Jannis Kallinikos. 2012. Coordination and Learning In Wikipedia: Revisiting the Dynamics of Exploitation and Exploration. In M. Holmqvist & A. Spicer (Eds.), Managing "Human Resources" by Exploiting and Exploring People's Potentials Research in the Sociology of Organizations (Vol. 37, pp. 161-192). Emerald Group Publishing Limited.
[2]
Tanja Aitamurto and Hélène Landemore. 2015. Five design principles for crowdsourced policymaking: Assessing the case of crowdsourced off-road traffic law in Finland. Journal of Social Media for Organizations 2(1).
[3]
Ben B. Bederson and Alexander J. Quinn. 2011. Web Workers Unite! Addressing Challenges of Online Laborers. Human Factors, 97-105.
[4]
Eli Ben and Jim Hutchins. 2010. Intelligence after Intellipedia : Improving the push pull balance with a social networking utility. Research Report in Information Science. Technology Directoratet. Defense Technical Information Center, February 2010.
[5]
William T. Causer, and Valerie Wallace. 2012. Building a volunteer community: results and findings from Transcribe Bentham. Digital Humanities Quarterly, 6.
[6]
Seth Cooper. 2014. A framework for scientific discovery through video games. ACM and Morgan Claypool, NY NY USA.
[7]
Seth Cooper, Firas Khatib, Ilya Makedon, Hao Lu, Janos Barbero, David Baker, James Fogarty, Zoran Popović, and Foldit players. 2011. Analysis of social gameplay macros in the Foldit cookbook. Proc. FDG 2011, 9--14.
[8]
Jeremy W. Crampton, Mark Graham, Ate Poorthuis, Taylor Shelton, Monica Stephens, Matthew W. Wilson, & Matthew Zook. 2013. Beyond the geotag: situating "big data" and leveraging the potential of the geoweb. Cartography and Geographic Information Science, 40(2), 130-139.
[9]
Maeve Duggan, Nicole B. Ellison, Cliff Lampe, Amanda L. Lenhart, and Mary Madden. 2015. Demographics of Key Social Networking Platforms. Pew Research Center. Retrieved July 8, 2015, from http://www.pewinternet.org/2015/01/09/demograp hics-of-key-social-networking-platforms-2/
[10]
Anna Filippova & Hichang Cho. 2015. Mudslinging and Manners. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing CSCW '15 (pp. 1393- 1403). New York, New York, USA: ACM Press.
[11]
Karën Fort, Ada Gilles, K. Bretonnel Cohen. 2011. Amazon Mechanical Turk: Gold Mine or Coal Mine-Computational Linguistics 37(2), 413--420.
[12]
Toby Fyfe & Paul Crookall. 2010. Social media and public sector policy dilemmas. Toronto: Institute of Public Administration of Canada.
[13]
Neha Gupta, David Martin, Benjamin V. Hanrahan, and Jackie O'Neill. 2014. Turk-life in India. In Proceedings of the 18th International Conference on Supporting Group Work, 1- 11.
[14]
Karin Hansson, Kheira Belkacem and Love Ekenberg. 2014. Open government and democracy: A research review. Social Science Computer Review, (December).
[15]
Amanda L. Hughes, Lisa A. St. Denis, Leysia Palen, and Ken M. Anderson. 2014. Online public communications by police and fire services during 2012 Hurricane Sandy. Proc. CHI 2014, 15051514.
[16]
Lilly Irani and M. Six Silberman. 2014. From critical design to critical infrastructure: Lessons from turkopticon. interactions 21(4), 32--35.
[17]
Lilly Irani & M. Six Silberman. 2013. Turkopticon: Interrupting worker invisibility in amazon mechanical turk. Proceedings of the SIGCHI Conference, 611-620.
[18]
Jyldyz Kasymova. 2013. Reforming local government in developing countries: Implementation of a participatory budgeting process in Kyrgyzstan. The State University of New Jersey.
[19]
Ece Kamar, Severin Hacker, and Eric Horvitz. 2012. Combining human and machine intelligence in large-scale crowdsourcing. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems-Volume 1 (pp. 467--474). International Foundation for Autonomous Agents and Multiagent Systems.
[20]
Aniket Kittur, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton. 2013. The future of crowd work. Proceedings of the 2013 conference on Computer supported cooperative work. ACM, 2013.
[21]
Thomas Ludwig, Christian Reuter, Tim Siebigteroth, and Volkmar Pipek. 2015. CrowdMonitor: Mobile Crowd Sensing for Assessing Physical and Digital Activities of Citizens during Emergencies. In: Proceedings of the 33th International Conference on Human Factors in Computing Systems (CHI '15), Seoul, South Korea, ACM-Press.
[22]
David Martin, Benjamin V. Hanrahan, Jackie O'Neill, & Neha Gupta. 2014. Being a turker. Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing CSCW '14, 224-235.
[23]
Jim McKay. 2014. How Sandy changed social media strategies in New York City. Emergency Management. Retrieved February 21, 2014, from http://www.emergencymgmt.com/disaster/SandySocial-Media-Strategies-New-York-City.html
[24]
Amanda Menking and Ingrid Erickson. 2015. The heartwork of Wikipedia: Gendered, emotional labor in the world's largest online encyclopedia. Proc CHI 2015, 207--210.
[25]
Felipe Ortega, Jesus M Gonzalez-Barahona and Gregorio Robles. 2008. On the inequality of contributions to Wikipedia. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008). Waikoloa, HI.
[26]
Daniela Retelny, Sebastien Robaszkiewicz, Alexandra To, Walter Lasecki, Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa Valentine, Michael S. Bernstein. 2014. Expert crowdsourcing with flash teams. Proceedings of the 27th annual ACM symposium on User interface software and technology. ACM, 2014.
[27]
Niloufar Salehi, Lilly C. Irani, Michael S. Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and Clickhappier. 2015. We are Dynamo: Overcoming stalling and friction in collective action for crowd workers. Proc. CHI 2015, 1621--1630.
[28]
Taylor Shelton, Ate Poorthuis, Mark Graham, & Matthew Zook. 2014. Mapping the data shadows of hurricane Sandy: Uncovering the sociospatial dimensions of "Big Data." Geoforum, Forthcoming.
[29]
Tomer Simon, Avishay Goldberg, and Bruria Adini. 2015. Socializing in emergencies -- A review of the use of social media in emergency situations. Int. J. Info. Mgmt. 35(5), 609--619.
[30]
M. Six Silberman, Joel Ross, Lilly Irani, & Bill Tomlinson. 2010. Sellers' problems in human computation markets. In Proceedings of the ACM SIGKDD Workshop on Human Computation HCOMP '10 (p. 18). New York, New York, USA: ACM.
[31]
Robert Soden & Leysia Palen. 2014. From Crowdsourced Mapping to Community Mapping: The Post-Earthquake Work of OpenStreetMap Haiti. In 11th International Conference on the Design of Cooperative Systems.
[32]
Andrea Wiggins and Kevin Crowston. 2012. Goals and tasks: Two typologies of citizen science projects. Proc. HICSS 2012, 3426--3435.
[33]
Matthew Zook, Mark Graham, & Andrew Boulton. 2015. Crowd-Sourced Augmented Realities: Social Media and the Power of Digital Representation. In S. P. Mains, J. Cupples, & C. Lukinbeal (Eds.), Mediated Geographies and Geographies of Media. Springer.
Index Terms
- Crowd Dynamics: Exploring Conflicts and Contradictions in Crowdsourcing
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Information & Contributors
Information
Published In
May 2016
3954 pages
ISBN:9781450340823
DOI:10.1145/2851581
- General Chairs:
- Jofish Kaye,
- Allison Druin,
- Program Chairs:
- Cliff Lampe,
- Dan Morris,
- Juan Pablo Hourcade
Copyright © 2016 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 07 May 2016
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CHI'16
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CHI'16: CHI Conference on Human Factors in Computing Systems
May 7 - 12, 2016
California, San Jose, USA
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CHI EA '16 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%
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Cited By
View all- Shih P(2018)Beyond Human-in-the-Loop: Empowering End-Users with Transparent Machine LearningHuman and Machine Learning10.1007/978-3-319-90403-0_3(37-54)Online publication date: 8-Jun-2018
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