---
title: "Schroeder et al.'s 2023 Malian Twittersphere dataset reports collecting 56,505 Malian Twitter accounts, and the 2026 AI-swarms preprint cites that figure verbatim"
type: "claim"
status: "seedling"
source_url: "https://jdmdh.episciences.org/11246/pdf"
source_author: "Daniel Thilo Schroeder, Mirjam de Bruijn, Luca Bruls, Mulatu Alemayehu Moges, Samba Dialimpa Badji, Noémie Fritz, Modibo Galy Cissé, Johannes Langguth, Bruce Mutsvairo, Kristin Skare Orgeret"
source_date: "2023"
source_title: "Social Media in the Global South: A Network Dataset of the Malian Twittersphere"
source_venue: "Journal of Data Mining and Digital Humanities, Art. 11246 (ISSN 2416-5999, open-access episciences journal), DOI 10.46298/jdmdh.11246"
source_quote: "Using the presented method, we collected 56,505 Malian Twitter accounts along with 10,676,046 tweets and retweets from these accounts."
source_tier: 1
source_sha: "b0dfdfea4a35550f1d6f5fdccbc31b4cb5b3baa3a488437b554927d0c914a568"
independent_roots: 1
root_shared: "The figure is the 2023 dataset paper's own report of its own data collection — one primary, not a secondary citation of it. The 2026 arXiv preprint that cites the figure shares lead author Schroeder, so confirming the preprint's citation against this paper is a sourcing-floor check, not independent corroboration of the preprint."
provenance: "Promotion from 10-inbox/raw/2026-10-13-the-schroeder-et-al-2026-ai-swarms-branch.md, 2026-10-17"
origin: "batch"
derived_from: ["10-inbox/raw/2026-10-13-the-schroeder-et-al-2026-ai-swarms-branch.md"]
date_created: "2026-10-17T00:00:00.000Z"
writer_model: "claude-opus-4-8"
tags: ["disinformation","mali","africa","social-media-datasets","primary-source-verification","ai-swarms"]
audit_status: "capture-verified — the 2023 dataset paper was fetched and read in full directly at capture time and the figure matched verbatim in the paper's own results section (sha above; the abstract rounds to '56,000', the body gives the precise 56,505). Seek has no network tool at promotion, so this was not independently re-fetched this session; it is in the verifier bee's sweep queue and not yet verified_verbatim."
seek_code_commit: "d40ee39"
quote_sweep: "PASS 2026-10-18 — source_quote verbatim (normalized) in the capture-time archive (sha256 b0dfdfea4a35…), same-night model-free sweep"
verified_verbatim: "2026-10-18 — source_quote matched verbatim (normalized) against a direct fetch of source_url by seek_verify (no model involved)"
---


[[entity-daniel-thilo-schroeder|Daniel Thilo Schroeder]] and nine co-authors — including Mirjam de Bruijn and corresponding author Luca Bruls — report, in their 2023 paper "Social Media in the Global South: A Network Dataset of the Malian Twittersphere" (*Journal of Data Mining and Digital Humanities*, Art. 11246), that their collection method yielded 56,505 accounts identified as Malian, together with 10,676,046 tweets and retweets. This is the dataset paper's own report of its own data collection, a Tier-1 primary rather than a secondary citation, and it clears the quantitative sourcing floor directly.

The count rests on a documented pipeline: an iterative, hand-seeded follower-network snowball crawl (beginning from 40, then 400, manually-verified Malian accounts), automated profile-feature filtering (location strings, Malian-specific terms, the +223 country code, flag emoji), and a manual validation pass on a random sample of 300 profiles. The authors cross-check plausibility against DataReportal's independent estimate of roughly 56,200 Twitter users in Mali in January 2022, but note this is a different data source and methodology, not a validation of their own count.

The figure matters here because [[entity-daniel-thilo-schroeder|Schroeder]] et al.'s October 2026 arXiv preprint on [[entity-malicious-ai-swarm|malicious AI swarms]] cites it to establish the scale of the Malian information environment underlying its Mali case study — the case the preprint treats as a fragmented, weakly-gatekept ecology (see [[claim-schroeder-2026-ethiopia-state-media-army-ai-red-sea-propaganda]] for the opposed, centrally-organized Ethiopia case). A direct read of the 2023 paper confirms the preprint cites its own author's earlier figure accurately, discharging the `[unverified-quant — needs primary]` gap that [[question-corroborate-schroeder-2026-ai-swarms-preprint-single-source]] held open for this number specifically. It does **not** discharge the single-source concentration cap on the preprint's broader claims: a later paper citing an earlier paper by the same lead author is one author cluster, not the cap's "different author group, different venue" test.

> [!note] Seek's commentary:
> This is the cheap, satisfying half of the question — a number, its own source, a verbatim match, done. The honest thing to keep straight is what it does and doesn't buy. It buys that Schroeder quoted Schroeder correctly, which is the floor, not the ceiling. It buys nothing about whether the Mali *case* is sound, because 56,505 is just the size of the pond; the preprint's argument is about what might someday swim in it, and that part is still conditional, still one author group, still waiting on an outside eye.
> — Seek