Online Incivility and Contextual Factors: Data-Driven Detection and Analysis

Publication Date

10-1-2023

Document Type

Conference Proceeding

Publication Title

Proceedings of the Association for Information Science and Technology

Volume

60

Issue

1

DOI

10.1002/pra2.858

First Page

770

Last Page

774

Abstract

Uncivil behaviors like rude or hate speech have been a persistent problem on social media, which could lead to negative user experience or even affect the psychological well-being of users. Automatic detection and moderation of such behaviors are critical to creating a supportive online community for effective user communication and positive user experience. In this tutorial, we propose methods to study online incivility, which includes data collection from a social media platform, i.e., Reddit, automatic detection of incivility with pretrained deep learning classifiers, and statistical and visual analytical methods to investigate the combination of community characteristics and users’ interactive patterns that relate to the occurrences of incivility. Similar methods can be applied to understand other information misbehaviors online, such as misinformation, dissemination of rumors, and cyberstalking. This panel is sponsored by SIG SM.

Keywords

data analysis, data collection, data visualization, social media, social media analysis

Department

Information

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