Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50112

Yaks versus Tweets: Sentiment Discrepancy During a Social Crisis

File Size Format  
paper0225.pdf 592.85 kB Adobe PDF View/Open

Item Summary

Title:Yaks versus Tweets: Sentiment Discrepancy During a Social Crisis
Authors:Koohikamali, Mehrdad
Gerhart, Natalie
Keywords:Data Analytics, Data Mining and Machine Learning for Social Media
Social media, Anonymity, Social Crisis, Sentiment Analysis
Date Issued:03 Jan 2018
Abstract:People use social networks to get current information, express their emotions and ideas, and connect with others. During a social crisis, there is a heightened value in using a social network to get information. Unfortunately, using a social network during a social crisis also provides fertile grounds for uncertainties and rapid dissemination of misinformation. Currently, there are multiple types of social networks including traditional and anonymous social networks. This research considers the differences between these two types of social networks. During the -˜Concerned Student 1950’, a student activist group at the University of Missouri, crisis at the University of Missouri, we captured users’ messages on two distinct anonymous and traditional social networks. Through sentiment analysis of datasets from Twitter and Yik Yak, we find that people express less total sentiment and more extremity on anonymous social networks. Results show extremity and length positively influence engagement, but total sentiment negatively influence engagement. These findings provide guidance for developers, law enforcement, and social network users.
Pages/Duration:8 pages
URI/DOI:http://hdl.handle.net/10125/50112
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.225
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Data Analytics, Data Mining and Machine Learning for Social Media


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