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The Community Archive: An Ethically Sourced X (Twitter) Dataset
Brandon Duderstadt, Omar Shehata, Ivan Vendrov, Francisco Carvalho

The Community Archive: An Ethically Sourced X (Twitter) Dataset

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

We present The Community Archive, a novel dataset of over 5 million posts from the social media site X (previously known as Twitter). In contrast with other large scale social media datasets, which are generally assembled without user consent via web scrapers, The Community Archive uses an opt-in model to obtain author consent for every post in the dataset. This enables us to release both the metadata and the content of users' posts at a previously unprecedented scale. Our dataset supports work in a wide variety of domains, including social network analysis, narrative tracking, and diachronic language modeling. We demonstrate the utility of our dataset by conducting a sample analysis of content-based homophily in our network.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title The Community Archive: An Ethically Sourced X (Twitter) Dataset
Author / Organization Brandon Duderstadt, Omar Shehata, Ivan Vendrov, Francisco Carvalho
Subject & Discipline cs.SI
Categories Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-266096
Original Source Link Visit Source Page on arxiv.org »