How different genders use profanity on Twitter?

Wong, Shang Cheong * and Teh, Phoey Lee * and Cheng, Chi-Bin (2020) How different genders use profanity on Twitter? In: ICCDA 2020: Proceedings of the 4th International Conference on Compute and Data Analysis, 9-12 March 2020, Silicon Valley, USA.

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Social media, is often the go-to place where people discuss their opinions and share their feelings. As some platforms provide more anonymity than others, users have taken advantage of that privilege, by sitting behind the screen, the use of profanity has been able to create a toxic environment. Although not all profanities are used to offend people, it is undeniable that the anonymity has allowed social media users to express themselves more freely, increasing the likelihood of swearing. In this study, the use of profanity by different gender classes is compiled, and the findings showed that different genders often employ swear words from different hate categories, e.g. males tend to use more terms from the “disability” hate group. Classification models have been developed to predict the gender of tweet authors, and results showed that profanity could be used to uncover the gender of anonymous users. This shows the possibility that profiling of cyberbullies can be done from the aspect of gender based on profanity usage.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Profanity; Tweets; Data Analysis; Gender
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Others > Non Sunway Academics
Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User: Dr Janaki Sinnasamy
Related URLs:
Date Deposited: 25 Aug 2020 08:22
Last Modified: 26 Aug 2020 07:09

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