A Billion Telegram Posts about the 2024 U.S. Presidential Election
type: Dataset
creator: Blas, Leonardo
creator: Luceri, Luca
creator: Ferrara, Emilio
author: Blas, Leonardo
author: Luceri, Luca
author: Ferrara, Emilio
date published: 2025-02-17
date modified: 2025-02-22
version: 2
description: With the intention of advancing the study of political discourse on social media and other topics permeated by politics, we present a Telegram dataset focused on the 2024 US Presidential Election, comprising over 43 thousand chats and 1 billion messages, and featuring chats' details, profile pictures, messages, and user information. This data is complemented by a record of inter-chat connections, where chats link to each other through mentions, links, text links, or forwards. This resource represents the largest public Telegram dataset to date, offering an unprecedented opportunity to study political discussion on Telegram.
keywords: Computer and Information Science
keywords: Social Sciences
citation: Leonardo Blas, Luca Luceri, and Emilio Ferrara. 2024. Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset.
citation: Leonardo Blas, Luca Luceri, and Emilio Ferrara. 2025. Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset.
license: https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.2/customlicense
included in data catalog: Harvard Dataverse
publisher: Harvard Dataverse
provider: Harvard Dataverse
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Blas, Leonardo
type: Person
given name: Leonardo
family name: Blas
affiliation: University of Southern California

Luceri, Luca
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given name: Luca
family name: Luceri
affiliation: Information Sciences Institute, University of Southern California

Ferrara, Emilio
type: Person
given name: Emilio
family name: Ferrara
affiliation: University of Southern California

Leonardo Blas, Luca Luceri, and Emilio Ferrara. 2024. Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset.
type: CreativeWork

Leonardo Blas, Luca Luceri, and Emilio Ferrara. 2025. Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset.
type: CreativeWork

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