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Are there screenshots or archived posts confirming Trump's Truth Social message?
Executive Summary
There is partial archival evidence that Donald Trump's Truth Social posts have been captured and stored by independent projects, but no single authoritative archive presented here confirms the specific message in question; some archives show no results while a prominent GitHub-backed scraper stored historical posts until its workflow was disabled in October 2025. Independent verification is complicated by the platform's inconsistent search features and the ease of fabricated screenshots, so confirmation requires checking multiple archives or raw JSON outputs rather than relying on a single image or site [1] [2] [3].
1. What people are claiming — the concrete assertions that need proving
The core claim is that a particular Truth Social message from Donald Trump exists and that screenshots or archived posts can confirm its content. Claimants implicitly assert that a saved image or archive record proves the message was posted by Trump's official account. Counterclaims argue that screenshots are easily fabricated and that searchable archives show no matching results, meaning the message either never existed, was deleted before archiving, or is being misattributed. The available analyses show both positions: a social-media search returned “No results found” in at least one archive, while an automated archiver captured posts historically but now has a disabled workflow, complicating contemporaneous confirmation [1] [2].
2. The strongest archival evidence — an automated scraper that built a historical record
A GitHub project ran a Python scraper that polled Trump’s Truth Social feed hourly and saved posts in JSON/CSV formats to an S3 archive; that code and its outputs constitute the most direct archivist attempt to preserve posts in machine-readable form. The repository documents fields like id, created_at, content, url and media, and it explicitly served as a time-stamped historical record until the automated workflow was disabled on October 26, 2025. That shutdown means the archive may still contain earlier posts relevant to the claim, but it will not reflect posts after that date unless someone re-enables the workflow or manually rehydrates the data [2].
3. The holes in the record — search failures and disabled workflows that limit certainty
Several sources show search results returning “No results found”, indicating that public-facing search tools and at least one social-media archive did not surface the targeted message. That absence does not prove nonexistence: posts can be deleted, missed by scrapers, or indexed under different parameters. The combination of platform search limitations and the disabled GitHub workflow means there is a plausible gap between what may have been posted and what is verifiably archived in the examined datasets. Researchers must therefore treat negative search results as inconclusive rather than definitive [1] [2].
4. Why screenshots are not reliable alone — how fakes spread and verification techniques
Screenshots are easy to fake using image editors, generators, or HTML edits; multiple fact-checkers have documented recurring fake Trump posts and urged cross-checking against raw timelines, JSON archives, and independent scrape logs. Practical verification requires locating the original post on an official timeline, matching timestamps and post IDs to JSON outputs, or finding the post in an independent archival dump. The analyses emphasize using reverse image search and archive-rescue tools because a screenshot without corroborating metadata or an archival record is weak evidence and can mislead readers and researchers [4] [3].
5. What this means for the specific message you asked about — current verdict and next steps
Based on the provided material, no single source here definitively confirms the specific Truth Social message via a verified screenshot or an unequivocal live archive entry: one archive returned no results while the GitHub scraper offers historical capture but stopped updating in late October 2025. The prudent next steps are to [5] inspect the GitHub repository’s archived JSON/CSV outputs for the post ID or timestamp in question, [6] search other independent archives or the Internet Archive for captures around the target date, and [7] treat any standalone screenshot as unverified until matched to a raw archive entry or the platform’s native post object [2] [1] [3].