Found 26 results
Filters: Author is Elena Simperl [Clear All Filters]
"From Crowd to Community: A Survey of Online Community Features in Citizen Science Projects", Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, New York, NY, USA, ACM, 2017.
"An investigation of player motivations in Eyewire, a gamified citizen science project", Computers in Human Behavior, vol. 73, no. "", pp. 527 - 540, 2017.
To help or hinder: Real-time chat in citizen science, , February, 2017.
"Because Science is Awesome: Studying Participation in a Citizen Science Game", Proceedings of the 8th ACM Conference on Web Science, New York, NY, USA, ACM, pp. 45–54, 2016.
"Please Stay vs Let's Play: Social Pressure Incentives in Paid Collaborative Crowdsourcing", Lecture Notes in Computer Science: Springer International Publishing, pp. 405–412, 2016.
"The Role of Data Science in Web Science", IEEE Intelligent Systems, vol. 31, no. 3, pp. 102-107, May, 2016.
"A-posteriori Provenance-enabled Linking of Publications and Datasets Via Crowdsourcing", D-Lib Magazine, vol. 21, jan, 2015.
"'Command' and Conquer: Analysing Discussion in a Citizen Science Game", Proceedings of the ACM Web Science Conference, New York, NY, USA, ACM, pp. 26:1–26:10, 2015.
"Designing for Citizen Data Analysis: A Cross-Sectional Case Study of a Multi-Domain Citizen Science Platform", Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, New York, NY, USA, ACM, pp. 4069–4078, 2015.
"Improving Paid Microtasks Through Gamification and Adaptive Furtherance Incentives", Proceedings of the 24th International Conference on World Wide Web, Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, pp. 333–343, 2015.
"Crowdsourcing data citation graphs using provenance", Provenance Analytics (ProvAnalytics2014), June, 2014.
"Motivations of Citizen Scientists: A Quantitative Investigation of Forum Participation", Proceedings of the 2014 ACM Conference on Web Science, New York, NY, USA, ACM, pp. 295–296, 2014.
"A Taxonomic Framework for Social Machines", Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society, Cham, Springer International Publishing, pp. 51–85, 2014.
"The Web Science Observatory - The Challenges of Analytics over Distributed Linked Data Infrastructures", ECRIM News, no. 96, pp. 29–30, January, 2014.
Crowdsourcing for the Semantic Web, , 2013.
"Crowdsourcing Linked Data Quality Assessment", Proceedings of the 12th International Semantic Web Conference - Part II, New York, NY, USA, Springer-Verlag New York, Inc., pp. 260–276, 2013.
"Incentive-Centric Semantic Web Application Engineering", 4: Morgan & Claypool, January, 2013.
An investigation of techniques that aim to improve the quality of labels provided by the crowd., , 2013.
"Towards a Classification Framework for Social Machines", Proceedings of the 22Nd International Conference on World Wide Web, New York, NY, USA, ACM, pp. 905–912, 2013.
Using Linked Data Effectively, , Milton Keynes, The Open University, December, 2013.
"CrowdMap: Crowdsourcing Ontology Alignment with Microtasks", The Semantic Web – ISWC 2012: 11th International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012, Proceedings, Part I, "Berlin, Heidelberg", "Springer Berlin Heidelberg", pp. 525–541, 2012.