Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/70922

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

File Size Format  
0246.pdf 631.12 kB Adobe PDF View/Open

Item Summary

Title:Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets
Authors:Konadl, Daniel
Wörner, Janik
Leist, Susanne
Keywords:Big Data-driven Social Media Management
contexts
continents
mobile devices' operation systems
sentiment-influential factors
show 1 moretweets
show less
Date Issued:05 Jan 2021
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 negative 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 uncover the effects of continents, mobile devices’ operating 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.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/70922
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.308
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Big Data-driven Social Media Management


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons