Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Murag, Mahesh"'
Autor:
Gaikwad, Snehalkumar "Neil" S., Chhibber, Nalin, Sehgal, Vibhor, Ballav, Alipta, Mullings, Catherine, Nasser, Ahmed, Richmond-Fuller, Angela, Gilbee, Aaron, Gamage, Dilrukshi, Whiting, Mark, Zhou, Sharon, Matin, Sekandar, Niranga, Senadhipathige, Goyal, Shirish, Majeti, Dinesh, Srinivas, Preethi, Ginzberg, Adam, Mananova, Kamila, Ziulkoski, Karolina, Regino, Jeff, Sarma, Tejas, Sinha, Akshansh, Paul, Abhratanu, Diemert, Christopher, Murag, Mahesh, Dai, William, Pandey, Manoj, Vaish, Rajan, Bernstein, Michael
Low-quality results have been a long-standing problem on microtask crowdsourcing platforms, driving away requesters and justifying low wages for workers. To date, workers have been blamed for low-quality results: they are said to make as little effor
Externí odkaz:
http://arxiv.org/abs/1707.05645
Autor:
Gaikwad, Snehalkumar \\'Neil\\' S., Chhibber, Nalin, Sehgal, Vibhor, Ballav, Alipta, Mullings, Catherine, Nasser, Ahmed, Richmond-Fuller, Angela, Gilbee, Aaron, Gamage, Dilrukshi, Whiting, Mark, Zhou, Sharon, Matin, Sekandar, Niranga, Senadhipathige, Goyal, Shirish, Majeti, Dinesh, Srinivas, Preethi, Ginzberg, Adam, Mananova, Kamila, Ziulkoski, Karolina, Regino, Jeff, Sarma, Tejas, Sinha, Akshansh, Paul, Abhratanu, Diemert, Christopher, Murag, Mahesh, Dai, William, Pandey, Manoj, Vaish, Rajan, Bernstein, Michael
Low-quality results have been a long-standing problem on microtask crowdsourcing platforms, driving away requesters and justifying low wages for workers. To date, workers have been blamed for low-quality results: they are said to make as little effor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd233a2159fd68b1ffaabf9f8d801224