{"_id":"hjgx6hc3Rp9HT3AQf","bibbaseid":"matsui-ferrara-morstatter-abeliuk-galstyan-leveragingclickstreamtrajectoriestoreveallowqualityworkersincrowdsourcedforecastingplatforms-2020","author_short":["Matsui, A.","Ferrara, E.","Morstatter, F.","Abeliuk, A.","Galstyan, A."],"bibdata":{"bibtype":"article","type":"article","title":"Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms","author":[{"propositions":[],"lastnames":["Matsui"],"firstnames":["Akira"],"suffixes":[]},{"propositions":[],"lastnames":["Ferrara"],"firstnames":["Emilio"],"suffixes":[]},{"propositions":[],"lastnames":["Morstatter"],"firstnames":["Fred"],"suffixes":[]},{"propositions":[],"lastnames":["Abeliuk"],"firstnames":["Andrés"],"suffixes":[]},{"propositions":[],"lastnames":["Galstyan"],"firstnames":["Aram"],"suffixes":[]}],"journal":"arXiv preprint arXiv:2009.01966","year":"2020","bibtex":"@article{matsui2020leveraging,\n title={Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms},\n author={Matsui, Akira and Ferrara, Emilio and Morstatter, Fred and Abeliuk, Andr{\\'e}s and Galstyan, Aram},\n journal={arXiv preprint arXiv:2009.01966},\n year={2020}\n}\n\n","author_short":["Matsui, A.","Ferrara, E.","Morstatter, F.","Abeliuk, A.","Galstyan, A."],"key":"matsui2020leveraging","id":"matsui2020leveraging","bibbaseid":"matsui-ferrara-morstatter-abeliuk-galstyan-leveragingclickstreamtrajectoriestoreveallowqualityworkersincrowdsourcedforecastingplatforms-2020","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/network/files/Jn8nB2rxPoh8h3FcM","dataSources":["ggn9cxjWZfEugF92o","SkBCY5r8TTZmM8u7q","PBhfQ3CpquKiLDuQe","CmzYp6Tyi3nywE8x9"],"keywords":[],"search_terms":["leveraging","clickstream","trajectories","reveal","low","quality","workers","crowdsourced","forecasting","platforms","matsui","ferrara","morstatter","abeliuk","galstyan"],"title":"Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms","year":2020}