For Researchers
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§ Receipts for researchers

When the post you're studying gets deleted six hours after you screenshot it.

Researchers studying online speech, disinformation campaigns, hate networks, harassment patterns — your evidence is ephemeral by design. Accounts get suspended, posts get deleted, platforms purge entire datasets when policy changes. A sealed screenshot turns 'screenshot taken on Tuesday, account suspended on Friday' from your testimony into externally-anchored cryptographic proof: SHA-256 + ECDSA signature + OpenTimestamps anchor within thirty minutes of capture. The receipt URL slots into reviewer-facing methodology sections without 'how do we know you didn't doctor this.' It doesn't validate your interpretation — that's still peer review — but it removes a class of skepticism that wastes everyone's time.

Workflows researchers actually run

described as they happen, not as marketing
  1. 01

    OSINT capture: seal screenshots as you take them, not at end-of-shift.

    Investigative pace is fast; accounts disappear in hours. Seal each capture in the same browser session as the screenshot. The receipt timestamp = capture timestamp, ±seconds. Build your evidence corpus on a cryptographic foundation rather than reconstructing chain-of-custody later from filesystem mtimes.

  2. 02

    Methodology section: cite the receipt URLs as supplementary material.

    Reviewers and replicators can verify each screenshot independently — they don't need access to your raw capture archive. The receipt page shows timestamp, hash, signature, and (after thirty minutes) the OpenTimestamps anchor. Cite as 'screenshot sealed at <URL>; SHA <hash>'. Standard supplementary-material format.

  3. 03

    Ethical review: receipts simplify IRB / IRB-equivalent submissions.

    IRBs increasingly ask for evidence-preservation protocols. Documenting 'all captures sealed via receipts.you within session' is concrete, auditable, and externally verifiable. The data-minimization argument (only a hash leaves your machine) helps with privacy-of-subject objections.

  4. 04

    Datasets: seal a hash of the dataset file, not the contents.

    For research datasets too large to seal page-by-page, seal a single SHA of the bundle. The receipt proves the dataset was in this exact form at this timestamp — useful for replicating studies on deleted material, where the dataset itself might be the only remaining evidence of what existed.

What it maps to in your world

the standards and rules already on your desk
  • OpenTimestamps anchor is a recognized scientific evidence preservation technique — used by archival projects and forensic tooling alike.
  • Verification is offline-capable: with the receipt JSON, the public key, and the OTS proof, any replicator can verify your evidence without trusting us.
  • Hash-only architecture is privacy-of-subject by design — useful for IRB submissions where preserving subject anonymity is mandatory.
  • No per-seal cost at research-relevant volumes. Rate limits accommodate a working researcher's day (1000/min/IP, 10000/day/IP).
  • Open-source verifier client; methodology sections can specify the verification command and reproduce the chain externally.

Questions this page answers

what researchers usually search for
  • osint screenshot evidence chain of custody
  • disinformation researcher evidence preservation
  • academic research social media evidence
  • ephemeral content preservation osint
  • deleted account research evidence
  • irb evidence preservation online research
  • research provenance social media screenshot
  • research reproducibility screenshot timestamp

Specific answers

Q.01

Is the OpenTimestamps anchor reviewer-acceptable for academic publishing?

OpenTimestamps is published research (Peter Todd et al., 2016) and is the de-facto standard for cryptographic timestamping of file hashes. Reviewers familiar with provenance literature will recognize it. For unfamiliar reviewers, cite the OTS paper alongside the methodology — the OTS reference client + the receipt JSON together replicate verification in two commands.

Q.02

How do I cite a receipt in a paper?

Standard supplementary-material citation: 'Capture timestamped at receipts.you/r/<id>; SHA-256 hash <hex>; verifiable via OpenTimestamps proof at receipts.you/api/ots-status/<id>.' Reviewers can verify independently; the URL is permanent on our side.

Q.03

What if my research subjects later request the screenshot be removed?

We never had the image — only a hash. There's nothing image-like to remove on our side. If the screenshot lives in your research archive and the subject requests its removal, that's a matter for your IRB and your research-data-management policy. The receipt's existence doesn't change subject-removal mechanics for the underlying material.

Q.04

Can I batch-seal a corpus of N screenshots in one go?

Not in a single API call — each receipt is one seal. The /api/seal endpoint is unauthenticated and scriptable; you can wire a Python or Node script to seal N captures in sequence. At 1000/min/IP, the throughput supports any realistic research-capture volume.

Q.05

What about live-capture from a research browser environment (Selenium, Playwright)?

Hash the screenshot bytes in your capture pipeline (Node's crypto.subtle or Python's hashlib), then POST the hash to /api/seal. The image never leaves your environment. The receipt URL is captured alongside the other metadata in your dataset row. We've seen this used for disinformation-monitoring pipelines at university research centers.

Q.06

Is the receipt durable enough for longitudinal studies (5-10 year horizons)?

Yes. OpenTimestamps anchors are permanent (Bitcoin chain proof-of-work); our receipt rows are append-only; our public key is committed to lasting at least 20 years per our methodology. For decade-scale studies, also archive the receipt JSON and the public key locally — the receipt is portable independent of our continued operation.

Capture, seal, cite. Three steps to reviewer-resilient evidence.

Free, browser-only, no per-capture cost. Your research provenance becomes cryptographic rather than testimonial.

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