Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366547655> ?p ?o ?g. }
- W4366547655 abstract "Extensive HCI research has investigated how to prevent and mitigate harassment in virtual spaces, particularly by leveraging human-based and Artificial Intelligence (AI)-based moderation. However, social Virtual Reality (VR) constitutes a novel social space that faces both intensified harassment challenges and a lack of consensus on how moderation should be approached to address such harassment. Drawing on 39 interviews with social VR users with diverse backgrounds, we investigate the perceived opportunities and limitations for leveraging AI-based moderation to address emergent harassment in social VR, and how future AI moderators can be designed to enhance such opportunities and address limitations. We provide the first empirical investigation into re-envisioning AI’s new roles in innovating content moderation approaches to better combat harassment in social VR. We also highlight important principles for designing future AI-based moderation incorporating user-human-AI collaboration to achieve safer and more nuanced online spaces." @default.
- W4366547655 created "2023-04-22" @default.
- W4366547655 creator A5005484681 @default.
- W4366547655 creator A5009556478 @default.
- W4366547655 creator A5010313058 @default.
- W4366547655 creator A5035719187 @default.
- W4366547655 creator A5086710367 @default.
- W4366547655 date "2023-04-19" @default.
- W4366547655 modified "2023-10-13" @default.
- W4366547655 title "Towards Leveraging AI-based Moderation to Address Emergent Harassment in Social Virtual Reality" @default.
- W4366547655 cites W2009712973 @default.
- W4366547655 cites W2034757259 @default.
- W4366547655 cites W2038361209 @default.
- W4366547655 cites W2053522862 @default.
- W4366547655 cites W2113025657 @default.
- W4366547655 cites W2136686335 @default.
- W4366547655 cites W2292070666 @default.
- W4366547655 cites W2405896853 @default.
- W4366547655 cites W2407300725 @default.
- W4366547655 cites W2529427724 @default.
- W4366547655 cites W2548475155 @default.
- W4366547655 cites W2588098783 @default.
- W4366547655 cites W2588107045 @default.
- W4366547655 cites W2610638155 @default.
- W4366547655 cites W2775336929 @default.
- W4366547655 cites W2791200426 @default.
- W4366547655 cites W2910732263 @default.
- W4366547655 cites W2920994124 @default.
- W4366547655 cites W2940648399 @default.
- W4366547655 cites W2941349974 @default.
- W4366547655 cites W2942423769 @default.
- W4366547655 cites W2967549601 @default.
- W4366547655 cites W2972486443 @default.
- W4366547655 cites W2989050900 @default.
- W4366547655 cites W2989158073 @default.
- W4366547655 cites W2995668127 @default.
- W4366547655 cites W2997400962 @default.
- W4366547655 cites W3008694996 @default.
- W4366547655 cites W3014021838 @default.
- W4366547655 cites W3017863658 @default.
- W4366547655 cites W3029662682 @default.
- W4366547655 cites W3030790076 @default.
- W4366547655 cites W3038864793 @default.
- W4366547655 cites W3044590479 @default.
- W4366547655 cites W3068134066 @default.
- W4366547655 cites W3088424418 @default.
- W4366547655 cites W3093710306 @default.
- W4366547655 cites W3094326384 @default.
- W4366547655 cites W3094571100 @default.
- W4366547655 cites W3112018341 @default.
- W4366547655 cites W3118385276 @default.
- W4366547655 cites W3160694721 @default.
- W4366547655 cites W3161078460 @default.
- W4366547655 cites W3174447410 @default.
- W4366547655 cites W3181414820 @default.
- W4366547655 cites W3201375796 @default.
- W4366547655 cites W3205745750 @default.
- W4366547655 cites W3206618149 @default.
- W4366547655 cites W3207115000 @default.
- W4366547655 cites W4220727484 @default.
- W4366547655 cites W4226254605 @default.
- W4366547655 cites W4283163416 @default.
- W4366547655 cites W4283330309 @default.
- W4366547655 cites W4285728975 @default.
- W4366547655 doi "https://doi.org/10.1145/3544548.3581090" @default.
- W4366547655 hasPublicationYear "2023" @default.
- W4366547655 type Work @default.
- W4366547655 citedByCount "2" @default.
- W4366547655 countsByYear W43665476552023 @default.
- W4366547655 crossrefType "proceedings-article" @default.
- W4366547655 hasAuthorship W4366547655A5005484681 @default.
- W4366547655 hasAuthorship W4366547655A5009556478 @default.
- W4366547655 hasAuthorship W4366547655A5010313058 @default.
- W4366547655 hasAuthorship W4366547655A5035719187 @default.
- W4366547655 hasAuthorship W4366547655A5086710367 @default.
- W4366547655 hasBestOaLocation W43665476551 @default.
- W4366547655 hasConcept C107457646 @default.
- W4366547655 hasConcept C108827166 @default.
- W4366547655 hasConcept C111472728 @default.
- W4366547655 hasConcept C111919701 @default.
- W4366547655 hasConcept C119857082 @default.
- W4366547655 hasConcept C120936955 @default.
- W4366547655 hasConcept C138885662 @default.
- W4366547655 hasConcept C15744967 @default.
- W4366547655 hasConcept C194969405 @default.
- W4366547655 hasConcept C2778572836 @default.
- W4366547655 hasConcept C2778976716 @default.
- W4366547655 hasConcept C41008148 @default.
- W4366547655 hasConcept C56739046 @default.
- W4366547655 hasConcept C77805123 @default.
- W4366547655 hasConcept C93225998 @default.
- W4366547655 hasConceptScore W4366547655C107457646 @default.
- W4366547655 hasConceptScore W4366547655C108827166 @default.
- W4366547655 hasConceptScore W4366547655C111472728 @default.
- W4366547655 hasConceptScore W4366547655C111919701 @default.
- W4366547655 hasConceptScore W4366547655C119857082 @default.
- W4366547655 hasConceptScore W4366547655C120936955 @default.
- W4366547655 hasConceptScore W4366547655C138885662 @default.
- W4366547655 hasConceptScore W4366547655C15744967 @default.
- W4366547655 hasConceptScore W4366547655C194969405 @default.