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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2511.03016 |
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| _version_ | 1866911249031233536 |
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| author | Gheyas, Iffat Asghar, Muhammad Rizwan Schneider, Steve Woodward, Alan |
| author_facet | Gheyas, Iffat Asghar, Muhammad Rizwan Schneider, Steve Woodward, Alan |
| contents | Crowdsourced data supports real-time decision-making but faces challenges like misinformation, errors, and contributor power concentration. This study systematically examines trust management practices across platforms categorised as Volunteered Geographic Information, Wiki Ecosystems, Social Media, Mobile Crowdsensing, and Specialised Review and Environmental Crowdsourcing. Identified strengths include automated moderation and community validation, while limitations involve rapid data influx, niche oversight gaps, opaque trust metrics, and elite dominance. Proposed solutions incorporate advanced AI tools, transparent reputation metrics, decentralised moderation, structured community engagement, and a ``soft power'' strategy, aiming to equitably distribute decision-making authority and enhance overall data reliability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_03016 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Establishing Trust in Crowdsourced Data Gheyas, Iffat Asghar, Muhammad Rizwan Schneider, Steve Woodward, Alan Social and Information Networks Crowdsourced data supports real-time decision-making but faces challenges like misinformation, errors, and contributor power concentration. This study systematically examines trust management practices across platforms categorised as Volunteered Geographic Information, Wiki Ecosystems, Social Media, Mobile Crowdsensing, and Specialised Review and Environmental Crowdsourcing. Identified strengths include automated moderation and community validation, while limitations involve rapid data influx, niche oversight gaps, opaque trust metrics, and elite dominance. Proposed solutions incorporate advanced AI tools, transparent reputation metrics, decentralised moderation, structured community engagement, and a ``soft power'' strategy, aiming to equitably distribute decision-making authority and enhance overall data reliability. |
| title | Establishing Trust in Crowdsourced Data |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2511.03016 |