Crowdsourcing

The Web facilitated process of enlisting the collaboration of a large number of people, in order to accomplish a task that would otherwise be unachievable. One example of this includes Amazon’s Mechanical Turk.

 

Related Publications:

  • [WebSci2016] Ramine Tinati, Markus Luczak-Roesch, Elena Simperl, Wendy Hall - Because science is awesome: studying participation in a citizen science game
  • [WebSci2016] Walid Magdy, Kareem Darwish, Norah Abokhodair, Afshin Rahimi, Timothy Baldwin - #ISISisNotIslam or #DeportAllMuslims?: predicting unspoken views
  • [WebSci2016] Clare J. Hooper, Brian Bailey, Hugh Glaser, James Hendler - Social machines in practice: solutions, stakeholders and scopes
  • [WebSci2016] Jenna Mittelmeier, YingFei Héliot, Bart Rienties, Denise Whitelock - Using social network analysis to predict online contributions: the impact of network diversity in cross-cultural collaboration
  • [WebSci2017] Xingsheng He, Di Lu, Drew Margolin, Mengdi Wang, Salma El Idrissi, Yu-Ru Lin - The Signals and Noise: Actionable Information in Improvised Social Media Channels During a Disaster
  • [WebSci2017] Andrew G. West - Analyzing the Keystroke Dynamics of Web Identifiers
  • [WebSci2017] Huw Fryer, Elena Simperl - Web Science Challenges in Researching Bug Bounties
  • [WebSci2014] Jared Lorince, Sam Zorowitz, Jaimie Murdock, Peter M. Todd - "Supertagger" behavior in building folksonomies
  • [WebSci2014] Leif Isaksen, Rainer Simon, Elton T.E. Barker, Pau de Soto Cañamares - Pelagios and the emerging graph of ancient world data
  • [WebSci2014] George Gkotsis, Karen Stepanyan, Carlos Pedrinaci, John Domingue, Maria Liakata - It's all in the content: state of the art best answer prediction based on discretisation of shallow linguistic features
  • [WebSci2015] Ujwal Gadiraju, Stefan Dietze, Ernesto Diaz-Aviles - Ranking Buildings and Mining the Web for Popular Architectural Patterns
  • [WebSci2012] Michal Kosinski, Yoram Bachrach, Gjergji Kasneci, Jurgen Van-Gael, Thore Graepel - Crowd IQ: Measuring the Intelligence of Crowdsourcing Platforms
    [WebSci2012] Patrick Minder, Abraham Bernstein - How to Translate a Book Within an Hour
  • [WebSci2012] Ernesto Diaz-Aviles, Avar´ e Stewart - Tracking Twitter for Epidemic Intelligence
  • [WebSci2013] Sarvapali D. Ramchurn, Bing Shi - Collabmap: Crowdsourcing Maps for Emergency Planning
  • [WebSci2013] Lora Aroyo, Chris Welty - Crowd Truth: Harnessing disagreement in crowdsourcing a relation extraction gold standard
  • [WebSci2013] Harry Halpin - Does the Web Extend the Mind?
  • [WebSci2013] Catherine C. Marshall, Frank M. Shipman - Experiences Surveying the Crowd: Reflections on Methods, Participation, and Reliability
  • [WebSci2013] Yuko Sakurai, Masaaki Oka, Satoshi Oyama, Makoto Yokoo - How confident are you? Worker classification in Crowdsourcing
  • [WebSci2013] Natalya F. Noy, Jonathan Mortensen, Paul R. Alexander, Mark A. Musen - Mechanical Turk as an Ontology Engineer?
  • [WebSci2013] Munmun De Choudhury, Scott Counts, Eric Horvitz - Social Media as a Measurement Tool of Depression in Populations
  • [WebSci2013] Panagiotis Metaxas, Eni Mustafaraj - The Rise and the Fall of a Citizen Reporter
  • [WebSci2010] Hoang, Diep Thi, Kaur, Jasleen, Menczer, Filippo - Crowdsourcing Scholarly Data.