Abuse Report JSON Structure: Automating Forum Moderation Queues

When community members flag offensive content or disruptive users, the incoming data arrives as a structured record. Understanding the underlying schema behind user-submitted abuse reports allows community operators to automate report routing, prioritize urgent safety violations, and streamline triage queues. By looking directly at established community report schemas, such as the open model documented in the Report - Mastodon documentation, forum administrators can build reliable automated moderation workflows.
Profile Overview: Abuse Report Object Baseline
A standardized abuse report entity provides moderators with the context necessary to evaluate bad behavior across discussions. In community platforms, user reports are represented as structured objects designed to be parsed by back-end queues or moderator review dashboards.
According to the Report - Mastodon documentation, a core report entity contains several essential data fields:
- id: A String representing the unique ID of the report in the database (cast from integer, added in version 1.1.0).
- action_taken: A Boolean indicating whether an action was taken yet (added in version 1.1.0).
- action_taken_at: A nullable String (Datetime) or null recording when an action was taken against the report (added in version 4.0.0).
- created_at: A String (Datetime) tracking when the report was created (added in version 4.0.0).
- comment: A String containing the reason supplied for filing the report (added in version 4.0.0).
- forwarded: A Boolean showing whether the report was forwarded to a remote domain (added in version 4.0.0).
Categorization Attributes for Automated Sorting
For forum owners maintaining a busy review queue, categorizing inbound flags is critical for sorting routine complaints from urgent policy issues. Relying on an explicit enumerable type prevents queue bottlenecks and helps scripts trigger instant alerts.
The specification outlines the category field as a String enumerable (oneOf) added in version 4.0.0, with a dedicated legal value introduced in version 4.2.0. The accepted category values include:
spam: Unwanted or repetitive content.legal: Illegal content.violation: A specific rule was violated.other: Some other reason.
By parsing this categorical key, an automated ingestion script can immediately route legal items to top-tier administrators while assigning spam reports to automated filter queues, as explored in our Forum Moderation Guide for New Community Owners.
Targeted Context: Linked Content and Rule Identifiers
A report is rarely actionable without knowing what was reported and what guidelines were broken. Structured payloads handle this by attaching arrays of identifiers pointing back to specific posts, collections, or community regulations.
The report schema incorporates several relational attributes:
- status_ids: A nullable Array of String (cast from integer) or null, representing IDs of statuses attached to the report for context (added in version 4.0.0).
- collection_ids: A nullable Array of String (cast from integer) or null, containing IDs of Featured Collections attached for additional context (added in version 4.6.0).
- rule_ids: A nullable Array of String (cast from integer) or null, listing IDs of the specific rules cited as a violation (added in version 4.0.0).
When integrating incoming flags with your site guidelines, matching rule_ids directly against your internal rules lets software group repeated flags on the same post. For broader setup tips on codifying rules, review our Forum Rules Template: How to Write Community Guidelines People Actually Follow.
Target Account Metadata Payload
Beyond the post itself, the payload embeds a complete target_account object (added in version 4.0.0) describing the accused user. This nested object offers instant insight into the poster's profile status and activity levels, allowing automated scoring routines to weigh account history.
Key fields contained inside the target account payload include:
- Account identifiers:
id,username,acct, anddisplay_name. - Account flags: Booleans such as
locked,bot,discoverable, andgroup. - Timestamps: Account creation date via
created_atand recent post history throughlast_status_at. - Activity counters: Numeric tallies tracking
followers_count,following_count, andstatuses_count. - Profile elements: Text bio under
note, profile link viaurl, media assets includingavatar,avatar_static,header, andheader_static, alongside arrays foremojisandfields.
Automation tools can inspect properties like statuses_count or account age to distinguish brand-new throwaway spam accounts from established community members who may have run into a localized dispute.
Sources
Published October 31, 2026. No affiliate links on this page. Facts come from the sources linked above; check them for updates.