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Information Systems and Analytics Department Faculty Journal Articles

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Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates Jan 2020

Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates

Information Systems and Analytics Department Faculty Journal Articles

This study examines how the Twittersphere talked about candidates running for the U.S senate in the 2018 congressional elections. We classify Twitter users as Liberal or Conservative to better understand how the two groups use social media during a major national political election. Using tweet sentiment, we assess how the Twittersphere felt about in-group party versus out-group party candidates. When we further break these findings down based on the candidates’ gender, we find that male senatorial candidates were talked about more positively than female candidates. We also find that Conservatives talked more positively about female Republican candidates than they did …


Blockchain Technology And The Current Discussion On Fraud, Linh Phan, Suhong Li, Kevin Mentzer Jan 2019

Blockchain Technology And The Current Discussion On Fraud, Linh Phan, Suhong Li, Kevin Mentzer

Information Systems and Analytics Department Faculty Journal Articles

Blockchain has received increased attention from both the academic and practitioner worlds. Numerous papers have been written on how blockchain works and its potential applications. However, few studies have focused on fraudulent activities on blockchain. The purpose of this study is to understand common issues and scams related to blockchain. A literature review was conducted to identify top security issues on blockchain. In addition, we collected tweets on blockchain fraud discussion from November 6, 2018 to December 31, 2008. The results of tweets analysis show that the most frequently mentioned words in tweets include scams, crypto/cryptocurrency, ICO, Bitcoin, Ethereum,combat/fight, Asia, …