Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
Studying Anti-Social Behaviour on Reddit with Communalytic
preprintposted on 16.06.2020, 20:59 by Anatoliy Gruzd, Philip Mai, Zahra Vahedi
The chapter presents a new social media research tool for studying subreddits (i.e., groups) on Reddit called Communalytic. It is an easy-to-use, web-based tool that can collect, analyze and visualize publicly available data from Reddit. In addition to collecting data, Communalytic can assess the toxicity of Reddit posts and replies using a machine learning API. The resulting anti-social scores from the toxicity analysis are then added as weights to each tie in a "who replies to whom" communication network, allowing researchers to visually identify and study toxic exchanges happening within a subreddit. The chapter consists of two parts: first, it introduces our methodology and Communalytic’s main functionalities. Second, it presents a case study of a public subreddit called r/metacanada. This subreddit, popular among the Canadian alt-right, was selected due to its polarizing nature. The case study demonstrates how Communalytic can support researchers studying toxicity in online communities. Specifically, by having access to this additional layer of information about the nature of the communication ties among group members, we were able to provide a more nuanced description of the group dynamics.
This work was made possible in part by an award from the Digital Ecosystem Research Challenge, funded in part by the Government of Canada.
Declaration of conflicts of interestThe authors declare no conflicts of interest.
Corresponding author firstname.lastname@example.org
Lead author countryCanada
Lead author job roleHigher Education Researcher
Lead author institutionRyerson University
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