Online Community Modeling and Moderation
Today, over 5 billion people interact with each other in online communities, ranging from social networking sites to web forums, from video game chats to website comment sections. In most cases these communities eanble participants to connect and communicate with each other in healthy ways – sharin...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/139141 |
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| _version_ | 1850135345831608320 |
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| author | Richard Khoury |
| author_facet | Richard Khoury |
| author_sort | Richard Khoury |
| collection | DOAJ |
| description |
Today, over 5 billion people interact with each other in online communities, ranging from social networking sites to web forums, from video game chats to website comment sections. In most cases these communities eanble participants to connect and communicate with each other in healthy ways – sharing, learning, and befriending each other. Unfortunately, some of these interactions become harmful, and devolve into virulent fights, trolling, cyberbullying, and worse. The most common methods for dealing with harmful messages are through human moderators, keyword filters, and user reports, but these methods all have inherent limitations. In this talk, we will explore how new AI tools, such as community modeling and predictive moderation, can be developed to keep online communities safe and healthy.
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| format | Article |
| id | doaj-art-b7ee3cd981aa40c489dee966524b0e78 |
| institution | OA Journals |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-b7ee3cd981aa40c489dee966524b0e782025-08-20T02:31:27ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622025-05-0138110.32473/flairs.38.1.139141Online Community Modeling and Moderation Richard Khoury0Department of Computer Science and Software Engineering, Université Laval, Canada Today, over 5 billion people interact with each other in online communities, ranging from social networking sites to web forums, from video game chats to website comment sections. In most cases these communities eanble participants to connect and communicate with each other in healthy ways – sharing, learning, and befriending each other. Unfortunately, some of these interactions become harmful, and devolve into virulent fights, trolling, cyberbullying, and worse. The most common methods for dealing with harmful messages are through human moderators, keyword filters, and user reports, but these methods all have inherent limitations. In this talk, we will explore how new AI tools, such as community modeling and predictive moderation, can be developed to keep online communities safe and healthy. https://journals.flvc.org/FLAIRS/article/view/139141 |
| spellingShingle | Richard Khoury Online Community Modeling and Moderation Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| title | Online Community Modeling and Moderation |
| title_full | Online Community Modeling and Moderation |
| title_fullStr | Online Community Modeling and Moderation |
| title_full_unstemmed | Online Community Modeling and Moderation |
| title_short | Online Community Modeling and Moderation |
| title_sort | online community modeling and moderation |
| url | https://journals.flvc.org/FLAIRS/article/view/139141 |
| work_keys_str_mv | AT richardkhoury onlinecommunitymodelingandmoderation |