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Konadl, Daniel ; Wörner, Janik ; Leist, Susanne

Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets

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Konadl, Daniel, Wörner, Janik and Leist, Susanne (2021) Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets. In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021). University of Hawai'i at Manoa, Honolulu, HI, pp. 2511-2520. ISBN 978-0-9981331-4-0.

DOI to cite this document: 10.5283/epub.44358


Abstract

Context factors have lasting impacts on people’s sentiments. Exploring impacts that different contexts have on sentiments can be crucial for managing the increasing number of communications companies nowadays maintain with customers via social media channels. To help companies prevent impacts of neg-ative word of mouth, we provide an overview about sentiment-influential contexts for tweets as one ...

Context factors have lasting impacts on people’s sentiments. Exploring impacts that different contexts have on sentiments can be crucial for managing the increasing number of communications companies nowadays maintain with customers via social media channels. To help companies prevent impacts of neg-ative word of mouth, we provide an overview about sentiment-influential contexts for tweets as one kind of social media texts previously discussed within the literature. We collected an overall amount of 358.923.210 tweets and performed analysis to un-cover the effects of continents, mobile devices’ oper-ating systems (OS) and the combination of both on sentiments expressed within tweets. Our results show remarkable differences for tweets originating from North America and Apple devices, which turned out to be the tweets with the lowest sentiments compared to the other continents and the mobile OS Android.



Involved Institutions


Details

Item typeBook section
ISBN978-0-9981331-4-0
Title of BookProceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021)
PublisherUniversity of Hawai'i at Manoa
Place of PublicationHonolulu, HI
Page Rangepp. 2511-2520
Date5 January 2021
Date of publication07 Jan 2021 06:48
InstitutionsBusiness, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Dewey Decimal Classification000 Computer science, information & general works > 004 Computer science
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-443581
Item ID44358

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