Published May 16, 2024 | Version 1.0.0
Dataset Open

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

Description

ABSTRACT
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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.

Repository links

Dataset Info

File-name Data-points
comments-2020 12,774,203
comments-2021 16,097,941
comments-2022 12,730,301
comments-2023 8,919,159
submissions-2020-to-2023 6,293,980

Authorship

This dataset is published at "AAAI ICWSM 2024 (INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA)" hosted at Buffalo, NY, USA.

  • Academic Organization: iDRAMA Lab
  • Affiliation: Binghamton University, Boston University, University of California Riverside

Licensing

This dataset is available for free to use under terms of the non-commercial license CC BY-NC-SA 4.0.

Citation

@inproceedings{patel2024idrama,
  title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023},
  author={Patel, Jay and Paudel, Pujan and De Cristofaro, Emiliano and Stringhini, Gianluca and Blackburn, Jeremy},
  booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
  volume={18},
  pages={2014--2024},
  year={2024},
  issn = {2334-0770},
  doi = {10.1609/icwsm.v18i1.31444},
}

Files

Files (22.0 GB)

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md5:f8b58aa6da9cc278ac63aa7b94d58aa9
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md5:aaeb40741b74b4fc9f54097cf5d95c64
5.7 GB Download
md5:fe2292865271ab2af030b9515e8afd95
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md5:0939aa06020c2e174bb1396ec9d45912
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md5:543a906771971709bf883347a5a478bd
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Additional details

Funding

U.S. National Science Foundation
Collaborative Research: SaTC: TTP: Medium: iDRAMA.cloud: A Platform for Measuring and Understanding Information Manipulation 2247868
U.S. National Science Foundation
Collaborative Research: SaTC: TTP: Medium: iDRAMA.cloud: A Platform for Measuring and Understanding Information Manipulation 2247867

Software