The diffusion of information about open-source
projects is a key factor influencing the adoption of projects and
the allocation of developer efforts. Developers learn about new
projects, and evaluate their quality and importance by accessing
the related information. Social media is an important channel for
information diffusion about open-source projects, with previous
research suggesting the existence of a social media ecosystem
that consists of multiple platforms and collectively supports
information diffusion in open source.
With different features supporting information diffusion, the
same piece of information likely reaches different developer
communities on different platforms, which attracts the attention
and contribution of different developers and thus influences the
success of open-source projects. Despite its importance, few works
looked at the identity of the developer community that projectrelated
information reaches on social media platforms and its
associated impact on the discussed project.
In this work, we track social media discussions on open-source
projects on three different platforms: Twitter, HackerNews, and
Reddit. We first describe the dynamics of project-related information
diffusion across platforms, and we analyze the association
between the number of posts on each platform, and the number
of developers attracted to the discussed project from different
communities. We find that posts about open-source projects first
appear on Twitter and HackerNews, then move more towards
Reddit. The number of project-related posts on Twitter mostly
associate with the attracted developers from communities that
are close to the project’s main contributor, while posts on
other platforms associate more with the attention from remote
communities.
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This content will become publicly available on May 31, 2025
iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023
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.
more » « less- Award ID(s):
- 2247867
- PAR ID:
- 10545199
- Publisher / Repository:
- AAAI
- Date Published:
- Journal Name:
- Proceedings of the International AAAI Conference on Web and Social Media
- Volume:
- 18
- ISSN:
- 2162-3449
- Page Range / eLocation ID:
- 2014 to 2024
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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