Journal of Information Resources Management ›› 2021, Vol. 11 ›› Issue (5): 84-95.doi: 10.13365/j.jirm.2021.05.084

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Research on Crowdsourcing Model and Incentive Strategy of Public Participation to Response Social Media Misinformation

Wang Yiming1 Xia Zhijie2 Dai Zhihong1   

  1. 1.School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, 200082;
    2.School of Management, Shanghai University of Engineering Science, Shanghai, 201600
  • Online:2021-09-26 Published:2021-11-11

Abstract: In order to better play the important role of the public in responding to misinformation in the social media environment, explore the best incentive strategies to improve the public participation and the quality of their participation, this paper proposes applying the crowdsourcing mode to the response of the misinformation in the social media, by constructing the conceptual model of the crowdsourcing task, then establishing the crowdsourcing incentive model under the risk preference which considering the impact of the types of crowdsourcing tasks, explicit incentives and implicit incentives on users’participation, and solving the optimal incentive strategy. It also puts forward some relevant suggestions. The results show that the crowdsourcing can be applied to the response of misinformation. In the process of solving the optimal incentive, only complex crowdsourcing task can inspire users, while the crowdsourcing task is simple, users’self-effort and collaborative effort are positively correlated with collaboration effect, number of participants, and negatively correlated with perceived risk. Beside that, the optimal incentive strategy of the task issuer changes dynamically with the change of each parameter.

Key words: Crowdsourcing mode, Response to misinformation, Incentive mechanism, Social media, User behavior

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