The Anatomy Spread of Online Opinion Polarization: The Pivotal Role of Super-Spreaders in Social Networks
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866913328165552128 |
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| author | Kawahata, Yasuko |
| author_facet | Kawahata, Yasuko |
| contents | The study investigates the role of 'superspreaders' in shaping opinions within networks, distinguishing three types: A, B, and C. Type A has a significant influence in shaping opinions, Type B acts as a counterbalance to A, and Type C functions like media, providing an objective viewpoint and potentially regulating A and B's influence. The research uses a confidence coefficient and z-score to survey superspreaders' behaviors, with a focus on the conditions affecting group dynamics and opinion formation, including environmental factors and forgetfulness over time. The findings offer insights for improving online communication security and understanding social influence. This paper is partially an attempt to utilize "Generative AI" and was written with educational intent. There are currently no plans for it to become a peer-reviewed paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_01349 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The Anatomy Spread of Online Opinion Polarization: The Pivotal Role of Super-Spreaders in Social Networks Kawahata, Yasuko Physics and Society Artificial Intelligence The study investigates the role of 'superspreaders' in shaping opinions within networks, distinguishing three types: A, B, and C. Type A has a significant influence in shaping opinions, Type B acts as a counterbalance to A, and Type C functions like media, providing an objective viewpoint and potentially regulating A and B's influence. The research uses a confidence coefficient and z-score to survey superspreaders' behaviors, with a focus on the conditions affecting group dynamics and opinion formation, including environmental factors and forgetfulness over time. The findings offer insights for improving online communication security and understanding social influence. This paper is partially an attempt to utilize "Generative AI" and was written with educational intent. There are currently no plans for it to become a peer-reviewed paper. |
| title | The Anatomy Spread of Online Opinion Polarization: The Pivotal Role of Super-Spreaders in Social Networks |
| topic | Physics and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2401.01349 |