iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023

• URL: http://arxiv.org/abs/2405.10233v1
• Date: Thu, 16 May 2024 16:34:03 GMT
• Title: iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023
• Authors: Jay Patel, Pujan Paudel, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn,
• Abstract summary: We release a large-scale dataset from Scored, an alternative Reddit platform. At least 58 communities identified as migrating from Reddit and over 950 communities created since the platform's inception. We provide sentence embeddings of all posts in our dataset, generated through a state-of-the-art model.
• Score: 22.685953309889825
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Online web communities often face bans for violating platform policies, encouraging their migration to alternative platforms. This migration, however, can result in increased toxicity and unforeseen consequences on the new platform. In recent years, researchers have collected data from many alternative platforms, indicating coordinated efforts leading to offline events, conspiracy movements, hate speech propagation, and harassment. Thus, it becomes crucial to characterize and understand these alternative platforms. To advance research in this direction, we collect and release a large-scale dataset from Scored -- an alternative Reddit platform that sheltered banned fringe communities, for example, c/TheDonald (a prominent right-wing community) and c/GreatAwakening (a conspiratorial community). Over four years, we collected approximately 57M posts from Scored, with at least 58 communities identified as migrating from Reddit and over 950 communities created since the platform's inception. Furthermore, we provide sentence embeddings of all posts in our dataset, generated through a state-of-the-art model, to further advance the field in characterizing the discussions within these communities. We aim to provide these resources to facilitate their investigations without the need for extensive data collection and processing efforts.

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