Trust Center
Elfbot moderates public comments on your social pages using an AI classifier plus a human reviewer. This page summarizes how that design lines up with the EU GDPR, the EU AI Act, and Meta's Platform Policies — written for NGOs, political offices, and campaign teams evaluating Elfbot for a pilot.
Last reviewed: 16 September 2026 · Version 1.0
Public comment moderation, scoped narrowly, with clear legal bases and reviewable retention.
Public comment text, commenter name/handle and profile picture as shown on the platform, page-level metrics, and the actions your reviewers take. Elfbot does not request private messages, friend lists, or off-platform data.
Legitimate interest (Art. 6(1)(f)) for moderating comments already public on your page, balanced against commenters' rights — and your organization's own consent via Meta OAuth for connecting a page in the first place.
Only the account(s) an admin explicitly connects are ingested. Workspaces are isolated — one client's comments, guidelines, and team are never visible to another.
Comment and moderation-action records are retained for the pilot/contract term to support the audit trail below, then deleted or returned on request. Retention windows are configurable per deployment.
Commenters (and your own team members) can exercise access, rectification, erasure, restriction, portability, and objection rights. Requests route through the contact below and are actioned within statutory timelines.
Comment content is sent to: Meta (source platform), an AI classification provider, and — only when a reviewer requests a fact-check — a web-search provider (Tavily). Transfers outside the EEA rely on Standard Contractual Clauses; a current sub-processor list is available on request.
The classifier recommends; it does not decide. Every visibility change traces back to a signed-in reviewer.
New deployments start in dry-run: the classifier suggests actions but nothing is auto-hidden until an admin deliberately enables live automatic hiding. Reviewers can re-run the classifier, escalate, or fully override any suggestion.
Every flagged comment shows the classifier's reasoning next to the text, not just a verdict. Reviewers see why a comment was flagged and can request cited, sourced evidence before acting on a factual claim.
Every classification, escalation, hide/unhide, and reply is logged with the reviewer, timestamp, and prior AI recommendation, and can be exported as an audit log for accountability reviews.
Fact-check claims are answered with cited sources rather than an unqualified verdict, and reviewers are explicitly shown when a claim is a subjective opinion rather than a checkable fact — reducing false-positive moderation of political speech.
Risk classification note: comment moderation on a customer's own page is not among the Annex III high-risk use cases (employment, essential services, law enforcement, etc.). Given the political/civic pilot context, Elfbot is nonetheless built with high-risk-grade safeguards — mandatory human sign-off, full audit trail, and no autonomous public-facing action — by default rather than by exception.
Access is API-based and admin-authorized; Elfbot never impersonates the page or acts without a human in the loop.
| Encryption | In transit (TLS) and at rest for stored comments, credentials, and audit records. |
|---|---|
| Isolation | Per-workspace data isolation; team members only see the client workspace(s) they're invited to. |
| Access control | Role-based team access (owner, member, billing admin, viewer) with Google OAuth sign-in — no shared passwords. |
| Auditability | Every moderation decision is attributed to a reviewer and exportable as an audit log. |
| Hosting region | fill in: EU region / provider |
A signed Data Processing Agreement (DPA), current sub-processor list, and this summary in PDF form are available on request before a pilot begins.
Logiq Mediaadmin@logiq.mediafill in if outside EUdpa@yourdomain.eu