Presentation information

General Session

General Session » GS-5 Agents

[2N4-GS-5] Agents: community

Wed. Jun 15, 2022 1:20 PM - 3:00 PM Room N (Room 501)

座長:布施 陽太郎(富山県立大学)[現地]

2:00 PM - 2:20 PM

[2N4-GS-5-03] Analysis of Opinion Aggregation Method Using Metacognition on Social Networks

〇Yu Yamashita1,2, Yuko Sakurai2,3, Masaki Onishi2, Atsuyuki Morishima1 (1. Univ. of Tsukuba, 2. National Institute of Advanced Industrial Science and Technology, 3. Kyushu Univ.)

Keywords:Opinion Aggregation, Metacognition, Social Network

We analyze an opinion aggregation method that uses metacognition on social networks. While the majority vote is widely applied, it does not always result in a correct decision when the majority has incorrect opinions. As one solution, a new voting method called surprisingly popular (SP) recently has been proposed by utilizing metacognition. Some existing works have evaluated the performance of the SP by using a crowdsourcing service. However, there exist no analyses of how well the SP performs when people on social networks decide the social decision by using the SP. We show that the performance of the SP depends on (1) the correctness of the metacognition and (2) the structure of social networks in computational simulations.

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