Climate Misinformation Detection Audit Trail

This dataset provides a comprehensive audit trail of climate-related misinformation incidents flagged on social media platforms, including content details, moderation outcomes, workflow efficiency metrics, and regulatory references. It enables ESG compliance tracking, supports remote moderation analytics, and facilitates regulatory readiness for misinformation policies.

  • last updated 15 Jan 2026
  • by GoMask
The brief that made it

Monitoring and auditing climate misinformation moderation workflows

Sample rows

preview · 8 of 75 rows · all 23 columns
incident_idstringregulatory_referencestringmoderation_duration_secondsintegerremote_moderationbooleanmoderation_actionstringcontent_idstringplatform_namestringuser_idstringcontent_posted_datetimedatetimeflagged_datetimedatetimeflagged_bystringmisinformation_typestringmoderation_statusstringmoderator_idstringmoderation_decision_datetimedatetimeescalated_tostringpolicy_violatedstringaudit_log_idstringaudit_actionstringaudit_actor_idstringaudit_action_datetimedatetimeaudit_notesstringcontent_textstring
INC10001blankblanktrueblankCNT20001EcoNetUSR300012024-03-02T09:15:322024-03-02T10:05:41automated_systemclimate_change_denialpendingblankblankblankblankAUD40001incident_createdSYS500012024-03-02T10:05:42Flagged by automated filters for suspected denial.Climate change is a hoax created by scientists for funding.
INC10002EU DSAblankfalseblankCNT20002GreenTalkUSR300022024-03-05T14:20:002024-03-05T15:45:10user_reportfalse_statisticsin_reviewMOD60001blankblankMisinformation Policy Section 3AUD40002moderation_updatedMOD600012024-03-05T16:05:22Review initiated by moderator.Global warming data is all manipulated. No real increase in temperatures.
INC10003SEC ESG2700truecontent_removedCNT20003EcoNetUSR300032024-02-22T08:10:122024-02-22T08:30:54automated_systemfalse_statisticsaction_takenMOD600022024-02-22T09:15:09blankClimate Data IntegrityAUD40003moderation_updatedMOD600022024-02-22T09:16:12Content removed after verification.The ice caps have actually grown larger in the past decade.
INC10004EU DSAblankfalseblankCNT20004EnviroVoiceUSR300042024-04-01T11:45:372024-04-01T13:10:00external_partnermisleading_graphicsin_reviewMOD60003blankblankGraphic Integrity PolicyAUD40004moderation_updatedMOD600032024-04-01T13:15:20External partner flagged misleading graphic.Solar energy is causing more pollution than fossil fuels.
INC10005blank1500trueno_actionCNT20005GreenTalkUSR300052024-04-15T17:05:102024-04-15T17:45:33user_reportclimate_change_denialdismissedMOD600042024-04-15T18:10:08blankblankAUD40005moderation_updatedMOD600042024-04-15T18:12:13No action taken; claim not in violation.There is no scientific consensus on climate change.
INC10006blankblanktrueblankCNT20006EcoNetUSR300062024-03-20T06:30:552024-03-20T07:00:00automated_systemotherpendingblankblankblankblankAUD40006incident_createdSYS500022024-03-20T07:00:01Flagged for potential misinformation.The ozone layer is unaffected by human activity.
INC10007EU DSAblankfalseblankCNT20007EnviroVoiceUSR300072024-05-02T15:25:302024-05-02T16:30:12user_reportconspiracy_theoryin_reviewMOD60005blankblankConspiracy PolicyAUD40007moderation_updatedMOD600052024-05-02T16:45:00Review in progress for conspiracy content.Climate change is caused by solar flares, not emissions.
INC10008SEC ESG2400trueuser_warnedCNT20008GreenTalkUSR300082024-02-12T16:40:002024-02-12T17:30:20external_partnermisleading_graphicsaction_takenMOD600062024-02-12T18:10:00blankWildlife Impact PolicyAUD40008policy_referencedMOD600062024-02-12T18:11:05Warning issued, policy referenced.Wind turbines kill more birds than oil spills.

What the 75 rows show

from the 75-row sample

EU DSA (regulatory reference) stands out: mean moderation_duration_seconds is 2,826, against 1,705 for the rest.

  • 56%remote_moderation = true
  • 1,860median moderation_duration_seconds
  • 4flagged_by values
  • 5misinformation types
  • 5moderation statuses
  • 5audit actions
Mean moderation_duration_seconds by regulatory_reference23 rows
02,0004,0002,826EU DSA13 rows1,705SEC ESG10 rows
moderation_duration_seconds33 rows, in bands of 1,000
0612512724101105,0009,000moderation_duration_seconds →

Median 1,860, from 480 to 8,700.

moderation_action28 rows with a value · 47 left blank
  1. content_removed12
  2. user_warned7
  3. no_action5
  4. user_suspended4
23 columns by typefrom the column list below
  • string 17
  • integer 1
  • datetime 4
  • boolean 1

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 17 columns
incident_idstringUnique identifier for the flagged climate misinformation incident.uniqueINC10001
content_idstringUnique identifier for the original social media content flagged as potential climate misinformation.CNT20001
platform_namestringName of the social media platform where the incident occurred.7 namesEcoNet
user_idstringUnique identifier for the user who posted the flagged content.USR30001
content_textstringThe text of the flagged content suspected of containing climate misinformation.CO2 is not a pollutant.
flagged_bystringSource that flagged the content (e.g., 'automated_system', 'user_report', 'external_partner').automated_system · user_report · external_partner · otherautomated_system
misinformation_typestringCategory of climate misinformation (e.g., 'climate_change_denial', 'false_statistics', 'misleading_graphics').5 valuesclimate_change_denial
moderation_statusstringCurrent status of the moderation process for this incident.pending · in_review · action_taken · dismissed · escalatedpending
moderator_idstringUnique identifier for the moderator assigned to review the incident.optionalMOD60001
moderation_actionstringAction taken after moderation (e.g., 'content_removed', 'user_warned', 'no_action', 'user_suspended').5 values · optionalcontent_removed
escalated_tostringIdentifier or role to which the incident was escalated, if applicable.optionalLeadModerator01
policy_violatedstringSpecific misinformation or platform policy violated, if any.optionalClimate Data Integrity
regulatory_referencestringReference to relevant ESG or regulatory framework (e.g., 'EU DSA', 'SEC ESG').2 references · optionalEU DSA
audit_log_idstringUnique identifier for the audit log entry related to this incident.uniqueAUD40001
audit_actionstringType of audit action recorded (e.g., 'incident_created', 'moderation_updated', 'escalation_logged').6 valuesincident_created
audit_actor_idstringIdentifier for the user, moderator, or system responsible for the audit action.SYS50001
audit_notesstringAdditional notes or comments related to the audit action.optionalNo violation found.
Numbers 1 column
moderation_duration_secondsintegerTime taken (in seconds) to complete the moderation process for this incident.0 or more · optional2700
Dates and times 4 columns
content_posted_datetimedatetimeTimestamp when the flagged content was originally posted.2024-03-02T09:15:32
flagged_datetimedatetimeTimestamp when the content was flagged for potential climate misinformation.2024-03-02T10:05:41
moderation_decision_datetimedatetimeTimestamp when the moderation decision was finalized.optional2024-02-22T09:15:09
audit_action_datetimedatetimeTimestamp when the audit action was performed.2024-03-02T10:05:42
True or false 1 column
remote_moderationbooleanIndicates if the moderation was performed remotely.true

Use it for

  • remote moderat…56%42 of 75 rowsmean moderation durat…2.8kEU DSA1.7kSEC ESG

    A social media dashboard

    The remote_moderation rate, moderation_duration_seconds by regulatory_reference and a breakdown of moderation_action. Excel, Power BI or Tableau.

  • Why do the 13 EU DSA rows have a mean moderation_duration_seconds of 2,826?

    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 incidents with content_id, platform_name and user_id to fill a screen in front of a buyer.

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blueprint · climate-misinformation-detection-audit-trail

Behind this dataset

Same schema. As many rows as you need.

These 75 rows came out of a blueprint — 23 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 row logs a moderation event (flagged post, review, action taken).
  • Includes timestamp, moderator location (remote/onsite), and outcome (removed/allowed/flagged for review).
  • Captures type of climate claim (e.g., emissions denial, policy misrepresentation).
  • Records validation steps (external fact-check, AI detection, manual review).
  • Logs content reach before and after moderation event.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
climate-misinformation-detection-audit-trail

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