Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024)

Fuente: arXiv
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Autori principali: Aquino, Yan, Bento, Pedro, Buzelin, Arthur, Dayrell, Lucas, Malaquias, Samira, Santana, Caio, Estanislau, Victoria, Dutenhefner, Pedro, Evangelista, Guilherme H. G., Porfírio, Luisa G., Grossi, Caio Souza, Rigueira, Pedro B., Almeida, Virgilio, Pappa, Gisele L., Meira Jr, Wagner
Natura: Preprint
Pubblicazione: 2025
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author Aquino, Yan
Bento, Pedro
Buzelin, Arthur
Dayrell, Lucas
Malaquias, Samira
Santana, Caio
Estanislau, Victoria
Dutenhefner, Pedro
Evangelista, Guilherme H. G.
Porfírio, Luisa G.
Grossi, Caio Souza
Rigueira, Pedro B.
Almeida, Virgilio
Pappa, Gisele L.
Meira Jr, Wagner
author_facet Aquino, Yan
Bento, Pedro
Buzelin, Arthur
Dayrell, Lucas
Malaquias, Samira
Santana, Caio
Estanislau, Victoria
Dutenhefner, Pedro
Evangelista, Guilherme H. G.
Porfírio, Luisa G.
Grossi, Caio Souza
Rigueira, Pedro B.
Almeida, Virgilio
Pappa, Gisele L.
Meira Jr, Wagner
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_00627
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024)
Aquino, Yan
Bento, Pedro
Buzelin, Arthur
Dayrell, Lucas
Malaquias, Samira
Santana, Caio
Estanislau, Victoria
Dutenhefner, Pedro
Evangelista, Guilherme H. G.
Porfírio, Luisa G.
Grossi, Caio Souza
Rigueira, Pedro B.
Almeida, Virgilio
Pappa, Gisele L.
Meira Jr, Wagner
Social and Information Networks
Databases
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.
title Discord Unveiled: A Comprehensive Dataset of Public Communication (2015-2024)
topic Social and Information Networks
Databases
url https://arxiv.org/abs/2502.00627