When Artificial Intelligence Meets Human Intelligence: Topics and Sentiments about ChatGPT in Online Knowledge Sharing Communities

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dc.contributor.authorSun, Yao
dc.contributor.authorWang, Lijing
dc.contributor.authorDiggs, Kevin
dc.contributor.authorKulkarni, Avanish
dc.contributor.authorSteiger, Kevin
dc.contributor.authorVu, Tai
dc.contributor.authorVenkataraman, Vibha
dc.date.accessioned2024-12-26T21:04:30Z
dc.date.available2024-12-26T21:04:30Z
dc.date.issued2025-01-07
dc.description.abstractOpenAI’s release of ChatGPT has sparked worldwide discussion and debates about its potential implications. Knowledge sharing conversations in online Q&A communities, for example, demonstrate how ChatGPT is perceived when human collective intelligence is unleashed. We focus on textual data collected from the Stack Exchange community to investigate the major topics and sentiments generated when community members share their knowledge about ChatGPT. Different topic modeling and sentiment analysis algorithms were applied and compared to understand major perceptions and attitudes toward ChatGPT, and to illustrate the perceived opportunities and challenges surrounding ChatGPT and AI algorithms. Our study presents the differences in terms of ChatGPT-related sentiments and discussion themes across different types of sub-communities and highlights the critical roles of feature extraction and threshold selection in further improving the accuracy of topic models and precisely capturing the patterns of prevalent sentiments.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.028
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other6180744c-e301-4917-b8f8-c286fdc981c9
dc.identifier.urihttps://hdl.handle.net/10125/108864
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial Intelligence and Big Data for Innovative, Collaborative and Sustainable Development of Organizations
dc.subjectartificial intelligence (ai), chatgpt, online q&a communities, sentiment analysis, topic modeling
dc.titleWhen Artificial Intelligence Meets Human Intelligence: Topics and Sentiments about ChatGPT in Online Knowledge Sharing Communities
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage229

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