Inferences from Social Media Conversations about the Adoption of Chatbots

dc.contributor.author Pawlik, V. Phoebe
dc.contributor.author Pan, Yan
dc.date.accessioned 2023-12-26T18:38:43Z
dc.date.available 2023-12-26T18:38:43Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 53dbca85-de02-43dd-a911-05a75f424bc4
dc.identifier.uri https://hdl.handle.net/10125/106689
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Data Mining, and Machine Learning for Social Media
dc.subject adoption
dc.subject chatbots
dc.subject diffusion
dc.subject large language model
dc.subject social media
dc.title Inferences from Social Media Conversations about the Adoption of Chatbots
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Chatbots, such as ChatGPT, are a rapidly emerging technology because of their potential applications in many fields. Existing research has addressed chatbot user adoption, mostly through experimental studies. Despite the increasing relevance of applying big data analytics to social media data to ascertain user impressions, research from this perspective on chatbot adoption is scarce. Therefore, this exploratory research investigates the topics of 44,310 conversations from the platform Reddit by applying deep learning topic modeling, sentiment analysis, and question-answering retrieval modeling combined with qualitative content analysis. This study (1) examines the topics associated with chatbots regarding the adoption process over the last seven years, (2) draws on the Unified Theory of Acceptance and Use of Technology 2 to refine the key chatbot user adoption factors, and (3) is an early contribution of applying deep learning textual analysis in this context.
dcterms.extent 10 pages
prism.startingpage 2536
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
0247.pdf
Size:
1.02 MB
Format:
Adobe Portable Document Format
Description: