Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks
This paper investigates how the structure of social networks affects an opinion aggregation method, surprisingly popular (SP) voting. SP leverages respondents’ metacognition: estimation of the rarity of their opinions among those of all respondents. Since a respondent’s metacog...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10849524/ |
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| _version_ | 1823859600952131584 |
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| author | Yu Yamashita Yuko Sakurai Satoshi Oyama Masaki Onishi Atsuyuki Morishima |
| author_facet | Yu Yamashita Yuko Sakurai Satoshi Oyama Masaki Onishi Atsuyuki Morishima |
| author_sort | Yu Yamashita |
| collection | DOAJ |
| description | This paper investigates how the structure of social networks affects an opinion aggregation method, surprisingly popular (SP) voting. SP leverages respondents’ metacognition: estimation of the rarity of their opinions among those of all respondents. Since a respondent’s metacognition is considered to be shaped by people around them, we can better understand metacognition and SP voting performance by focusing on the structure of social networks. We analyzed the effect of respondents’ referring to connected individuals on SP voting performance when they predict other respondents’ opinions. We also analyzed the effect of the structure of social networks on respondents’ metacognition and on SP voting performance. Simulation experiments using various social networks revealed that respondents’ referring to connected individuals is important in SP voting performance and that the structure of social networks plays an important role in respondents’ metacognition and SP voting performance. Even if respondents refer to connected individuals, their metacognition can differ from the actual distribution of opinions across all respondents depending on the structure of the social networks, which greatly affects SP voting performance. |
| format | Article |
| id | doaj-art-35c4fda166894888ae23fade06df4487 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-35c4fda166894888ae23fade06df44872025-02-11T00:01:23ZengIEEEIEEE Access2169-35362025-01-0113233712338310.1109/ACCESS.2025.353275410849524Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social NetworksYu Yamashita0https://orcid.org/0009-0009-1551-7268Yuko Sakurai1https://orcid.org/0000-0002-0642-3878Satoshi Oyama2https://orcid.org/0000-0002-8124-3578Masaki Onishi3https://orcid.org/0000-0002-4580-4868Atsuyuki Morishima4Language Science and Technology, Saarland University, Saarbrücken, GermanyGraduate School of Engineering Tsukuri College, Nagoya Institute of Technology, Nagoya, JapanSchool of Data Science, Nagoya City University, Nagoya, JapanArtificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, JapanGraduate School of Library, Information and Media Studies, University of Tsukuba, Tsukuba, JapanThis paper investigates how the structure of social networks affects an opinion aggregation method, surprisingly popular (SP) voting. SP leverages respondents’ metacognition: estimation of the rarity of their opinions among those of all respondents. Since a respondent’s metacognition is considered to be shaped by people around them, we can better understand metacognition and SP voting performance by focusing on the structure of social networks. We analyzed the effect of respondents’ referring to connected individuals on SP voting performance when they predict other respondents’ opinions. We also analyzed the effect of the structure of social networks on respondents’ metacognition and on SP voting performance. Simulation experiments using various social networks revealed that respondents’ referring to connected individuals is important in SP voting performance and that the structure of social networks plays an important role in respondents’ metacognition and SP voting performance. Even if respondents refer to connected individuals, their metacognition can differ from the actual distribution of opinions across all respondents depending on the structure of the social networks, which greatly affects SP voting performance.https://ieeexplore.ieee.org/document/10849524/Metacognitionsimulation analysissocial networkssurprisingly popular votingwisdom of the crowd |
| spellingShingle | Yu Yamashita Yuko Sakurai Satoshi Oyama Masaki Onishi Atsuyuki Morishima Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks IEEE Access Metacognition simulation analysis social networks surprisingly popular voting wisdom of the crowd |
| title | Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks |
| title_full | Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks |
| title_fullStr | Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks |
| title_full_unstemmed | Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks |
| title_short | Analysis of Surprisingly Popular Voting for Opinion Aggregation on Social Networks |
| title_sort | analysis of surprisingly popular voting for opinion aggregation on social networks |
| topic | Metacognition simulation analysis social networks surprisingly popular voting wisdom of the crowd |
| url | https://ieeexplore.ieee.org/document/10849524/ |
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