Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024)
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Abstract (arXiv)
Discord has evolved from a gaming-focused communication tool into a versatile platform supporting diverse online communities. Despite its large user base and active public servers, academic research on Discord remains limited due to data accessibility challenges. This paper introduces Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024), the most extensive Discord public server's data to date. The dataset comprises over 2.05 billion messages from 4.74 million users across 3,167 public servers, representing approximately 10% of servers listed in Discord's Discovery feature. Spanning from Discord's launch in 2015 to the end of 2024, it offers a robust temporal and thematic framework for analyzing decentralized moderation, community governance, information dissemination, and social dynamics. Data was collected through Discord's public API, adhering to ethical guidelines and privacy standards via anonymization techniques. Organized into structured JSON files, the dataset facilitates seamless integration with computational social science methodologies. Preliminary analyses reveal significant trends in user engagement, bot utilization, and linguistic diversity, with English predominating alongside substantial representations of Spanish, French, and Portuguese. Additionally, prevalent community themes such as social, art, music, and memes highlight Discord's expansion beyond its gaming origins.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Feb 2025.
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Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocationscited by 1
- 2025Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversationscited by 0
- 2026Understanding Interpretation Difficulty in Harmful Online Communication: Insights from Cybercrime Communitiescited by 0
- 2026Understanding Interpretation Difficulty in Harmful Online Communication: Insights from Cybercrime Communities8 Jul 2026
- 2025Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations29 Sep 2025
- 2025Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations2 Mar 2025