Integrating Signals of Online Harassment into Clinical Practices

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dc.contributor.authorNova, Fayika Farhat
dc.date.accessioned2023-03-17T22:49:03Z
dc.date.available2023-03-17T22:49:03Z
dc.date.issued2023
dc.description.abstractMy research interest falls largely at the intersection of social computing and healthcare system, where I explore how the experiences of online participation and associated risky behaviors, such as online harassment, impact patient related health services and assessment process. My primary focus is to connect digital signals about harassment to clinical assessment for better patient service and outcomes. As there is a lack of standard protocol for assessing similar experiences within patients in clinical settings, my research translated into healthcare system will help to build more holistic and structured screening protocols and workflow for both patients and providers.en
dc.identifier.doi10.1145/3565967.3571761
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4630
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work
dc.subjectVulnerable Populations;Workflow Design;
dc.subjectCyberbully
dc.subjectHealthcare System
dc.subjectOnline Harassment
dc.titleIntegrating Signals of Online Harassment into Clinical Practicesen
dc.typeText/Conference Paper
gi.citation.startPage72–74
gi.conference.locationHilton Head, SC, USA

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