A Weaverlet-Based Interactive Dashboard for Temporal Analysis of Hate Speech on Reddit

Author(s): Lungu, Alexandru (2025)

Abstract:
Today, social media platforms have become the dominant medium for information dissemination, with approximately 5.24 billion active users worldwide. This vast reach raises critical concerns about the spread of hate, which now occurs at an unprecedented rate and affects millions of people globally. Hateful messages circulate daily across numerous platforms, impacting a wide range of social groups. Much of this content is closely tied to politics, conflicts, and global events that serve as catalysts for the amplification of hate. Reddit, in particular, stands out as a prominent platform for political discourse and news sharing. This paper introduces an interactive dashboard designed to visualize the spread of hate speech on Reddit. The dashboard enables users to upload datasets, filter them by subreddit, flairs, and time period, and explore the raw data through interactive time-series and influence graphs. Our main contributions are threefold: (i) a novel system for analyzing the temporal dynamics of hate speech, (ii) a module for identifying influential users, and (iii) new insights into the patterns of content propagation through cross-post and domain analysis. The dataset used in this study focuses on political extremism and is drawn from various politicallyoriented subreddits, particularly during the period surrounding the 2024 U.S. presidential election.

Document(s):

Lungu_BA_EEMCS.pdf