Decentralized Social Network Moderation Events

This dataset provides granular records of moderation actions and privacy-related events across decentralized social networks, including details about actors, affected entities, event reasons, outcomes, and compliance flags. It empowers cybersecurity analysts, AI/ML practitioners, and platform designers to detect safety risks, monitor policy adherence, and optimize moderation workflows in next-generation social media environments.

  • last updated 2 Jan 2026
  • by GoMask
The brief that made it

AI/ML analysis of moderation and privacy event patterns

Sample rows

preview · 8 of 75 rows · all 19 columns
event_idstringappeal_statusstringappeal_possiblebooleancontent_typestringevent_typestringtimestampdatetimeactor_idstringactor_rolestringtarget_idstringtarget_typestringreason_codestringnetwork_idstringcontent_idstringaction_outcomestringgeo_countrystringcompliance_flagbooleancompliance_frameworkstringadditional_metadatastringreason_descriptionstring
evt-AXD23Jk9nonetruepostcontent_removal2024-04-02T10:13:48Zuser_1021moderatorpost_8012postspamnet_alphapost_8012approvedUSfalseblank{"automated_score":0.92,"tag":"bulk"}Detected repeated posting of unsolicited links
evt-QW92jHsLsubmittedtrueblankuser_suspension2024-04-02T11:03:29Zadmin_2004adminuser_1497userharassmentnet_betablankapprovedCAtrueGDPR{"severity":"high"}Direct threats sent via private messages
evt-PLk82nTynonefalseblankprivacy_setting_change2024-04-02T11:15:10Zuser_2376useruser_2376userprivacy_violationnet_alphablankapprovedGBfalseblank{"change_type":"profile_visibility"}User adjusted profile visibility after reporting suspicious access
evt-TYk9bW82nonefalsepostreport_received2024-04-02T12:27:41Zuser_3112userpost_8932posthate_speechnet_alphapost_8932pendingDEtrueDSA{"report_count":3}Reported for inappropriate language targeting group
evt-FG07pLwAnonefalseattachmentwarning_issued2024-04-02T13:14:18Zmoderator_3101moderatoruser_4102usermalwarenet_gammaatt_2256approvedFRtrueCCPA{"malware_type":"trojan"}Attempted upload of suspicious attachment
evt-UMn20Kplsubmittedtrueblankappeal_submitted2024-04-02T13:24:52Zuser_1497useruser_1497userothernet_betablankpendingCAfalseblank{"appeal_text":"Requesting account review"}User claims misunderstanding in content context
evt-VW82mQb7resolvedtrueblankappeal_reviewed2024-04-02T13:51:33Zadmin_2004adminuser_1497userharassmentnet_betablankrejectedCAtrueGDPR{"reviewer":"admin_2004","appeal_decision":"denied"}Review of user appeal; evidence confirmed original decision
evt-KL9p4Dxenonefalseblankaccount_deletion2024-04-02T14:22:03Zuser_5120useruser_5120userprivacy_violationnet_alphablankapprovedITtrueGDPR{"deletion_reason":"privacy_breach"}User requested deletion after privacy breach

What the 75 rows show

from the 75-row sample

Submitted (appeal status) stands out: 11 of its 11 rows have appeal_possible = true, against 33 of 64 for the rest.

  • 59%appeal_possible = true
  • 4actor roles
  • 4action outcomes
  • 4compliance frameworks
  • 5target types
  • 7reason codes
Appeal possible rate by appeal_statusappeal_possible = true
0%50%100%35%none15 of 43100%submitted11 of 11100%under_re…5 of 581%resolved13 of 16
content_type27 rows with a value · 48 left blank
  1. post10
  2. message7
  3. comment6
  4. attachment2
  5. group1
  6. profile1
19 columns by typefrom the column list below
  • string 16
  • datetime 1
  • boolean 2

Columns

19 columns in three groups
blueprint · 19 columns
columntypedescriptionexample
Text 16 columns
event_idstringUnique identifier for each moderation or privacy eventuniqueevt-AXD23Jk9
event_typestringType of event, such as moderation action or privacy event9 valuescontent_removal
actor_idstringUnique identifier for the user or moderator who initiated the eventuser_1021
actor_rolestringRole of the actor (user, moderator, admin, automated_system)user · moderator · admin · automated_systemmoderator
target_idstringUnique identifier for the user, content, or entity affected by the eventpost_8012
target_typestringType of entity affected (user, post, comment, message, group)user · post · comment · message · grouppost
reason_codestringStandardized code or label for the reason behind the event (e.g., spam, harassment, privacy_violation)7 valuesspam
reason_descriptionstringDetailed description or notes explaining the reason for the eventoptionalDetected repeated posting…
network_idstringIdentifier for the decentralized network or instance where the event occurred7 networksnet_alpha
content_idstringIdentifier for the specific content involved (if applicable)optionalpost_8012
content_typestringType of content involved (post, comment, message, profile, attachment)post · comment · message · profile · attachment · optionalpost
action_outcomestringOutcome of the moderation or privacy action (approved, rejected, reversed, pending)approved · rejected · reversed · pendingapproved
appeal_statusstringStatus of any appeal related to the event (none, submitted, under_review, resolved)none · submitted · under_review · resolvednone
geo_countrystringCountry code (ISO 3166-1 alpha-2) where the event originated, if availableoptionalUS
compliance_frameworkstringName of the compliance framework relevant to the event (GDPR, CCPA, DSA, etc.)GDPR · CCPA · DSA · other · optionalGDPR
additional_metadatastringFlat JSON string containing any extra key-value pairs relevant to the event (e.g., tags, automated scores)optional{"severity":"high"}
Dates and times 1 column
timestampdatetimeDate and time when the event occurred (UTC)2024-04-02T10:13:48Z
True or false 2 columns
appeal_possiblebooleanIndicates if the affected party can appeal the actiontrue
compliance_flagbooleanIndicates if the event was flagged for compliance review (e.g., GDPR, CCPA)false

Use it for

  • appeal possible59%44 of 75 rowsappeal possible by ap…35%none100%subm…100%unde…81%reso…

    A social media dashboard

    The appeal_possible rate, appeal_possible by appeal_status and a breakdown of content_type. Excel, Power BI or Tableau.

  • Why do 44 of 75 rows have appeal_possible = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable events with event_type, timestamp and actor_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 19 columns, your size and your rules. See 20 rows before you pay.

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This dataset75 rows19 columns
Yours1,000 rows19 columnsgeo_country: UK only

blueprint · decentralized-social-network-moderation-events

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each event must include timestamp, action type, and user role
  • Privacy requests and moderation flags must be differentiated
  • No duplicate event IDs permitted
  • Events include both automated AI and human moderator actions
  • All user data anonymized to comply with privacy regulations
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
decentralized-social-network-moderation-events

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