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