TY - GEN
T1 - Crowdsourcing in China
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
AU - Wang, Yihong
AU - Papangelis, Konstantinos
AU - Saker, Michael
AU - Lykourentzou, Ioanna
AU - Chamberlain, Alan
AU - Khan, Vassilis Javed
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/23
Y1 - 2020/4/23
N2 - Recent research highlights the potential of crowdsourcing in China. Yet very few studies explore the workplace context and experiences of Chinese crowdworkers. Those that do, focus mainly on the work experiences of solo crowdworkers but do not deal with issues pertaining to the substantial amount of people working in 'crowdfarms'. This article addresses this gap as one of its primary concerns. Drawing on a study that involves 48 participants, our research explores, compares and contrasts the work experiences of solo crowdworkers to those of crowdfarm workers. Our findings illustrate that the work experiences and context of the solo workers and crowdfarm workers are substantially different, with regards to their motivations, the ways they engage with crowdsourcing, the tasks they work on, and the crowdsourcing platforms they utilize. Overall, our study contributes to furthering the understandings on the work experiences of crowdworkers in China.
AB - Recent research highlights the potential of crowdsourcing in China. Yet very few studies explore the workplace context and experiences of Chinese crowdworkers. Those that do, focus mainly on the work experiences of solo crowdworkers but do not deal with issues pertaining to the substantial amount of people working in 'crowdfarms'. This article addresses this gap as one of its primary concerns. Drawing on a study that involves 48 participants, our research explores, compares and contrasts the work experiences of solo crowdworkers to those of crowdfarm workers. Our findings illustrate that the work experiences and context of the solo workers and crowdfarm workers are substantially different, with regards to their motivations, the ways they engage with crowdsourcing, the tasks they work on, and the crowdsourcing platforms they utilize. Overall, our study contributes to furthering the understandings on the work experiences of crowdworkers in China.
KW - crowdfarms
KW - crowdsourcing
KW - crowdworkers
KW - motivations and attitudes
KW - platform satisfaction
KW - reputation management
KW - tasks
KW - work experience
KW - work life balance
UR - http://www.scopus.com/inward/record.url?scp=85091269685&partnerID=8YFLogxK
U2 - 10.1145/3313831.3376473
DO - 10.1145/3313831.3376473
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:85091269685
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 25 April 2020 through 30 April 2020
ER -