• Gaming
  • 21 columns
  • 45 rows
  • 8 formats

Gaming Content Moderation Productivity

This dataset provides granular, actionable metrics on remote gaming content moderation, including moderator productivity, shift coverage, content types, and moderation outcomes. It enables operations managers to optimize staffing, identify workflow bottlenecks, and improve moderation quality across distributed teams. The dataset is ideal for performance analytics, workforce planning, and gaming platform compliance monitoring.

  • last updated 12 Jan 2026
  • by GoMask
The brief that made it

Analyze moderator productivity and identify training needs

Sample rows

preview · 8 of 45 rows · all 21 columns
moderation_idstringmoderation_actionstringreview_duration_secondsintegeruser_reportedbooleanaction_reasonstringmoderator_idstringmoderator_namestringmoderator_locationstringshift_idstringshift_start_timedatetimeshift_end_timedatetimeplatform_idstringplatform_namestringcontent_idstringcontent_typestringaction_timestampdatetimeescalated_to_managerbooleanmanager_idstringoutcome_statusstringuser_idstringnotesstring
MOD001approved52falseblankMTR1001Alice ChenToronto, CanadaSHIFT012024-06-10T08:00:00Z2024-06-10T16:00:00ZPLAT01FortniteCNT1001chat2024-06-10T09:15:23ZfalseblankresolvedUSR0101blank
MOD002flagged88trueoffensive languageMTR1002Carlos RuizMadrid, SpainSHIFT022024-06-10T10:00:00Z2024-06-10T18:00:00ZPLAT02RobloxCNT1002image2024-06-10T11:03:41ZtrueMG101pendingUSR0102Image contained text with slurs
MOD003rejected34trueharassmentMTR1003Priya NairMumbai, IndiaSHIFT032024-06-10T06:00:00Z2024-06-10T14:00:00ZPLAT03ValorantCNT1003chat2024-06-10T08:44:18ZfalseblankresolvedUSR0103Repeated abusive messages
MOD004approved120falseblankMTR1004Jamal BryantChicago, USASHIFT042024-06-10T12:00:00Z2024-06-10T20:00:00ZPLAT04League of LegendsCNT1004video2024-06-10T13:11:10ZfalseblankresolvedUSR0104blank
MOD005flagged40falseinappropriate usernameMTR1005Sophie MartinParis, FranceSHIFT052024-06-10T14:00:00Z2024-06-10T22:00:00ZPLAT05MinecraftCNT1005username2024-06-10T15:21:55ZtrueMG102pendingUSR0105Username references hate group
MOD006approved22falseblankMTR1001Alice ChenToronto, CanadaSHIFT012024-06-10T08:00:00Z2024-06-10T16:00:00ZPLAT01FortniteCNT1006chat2024-06-10T10:07:12ZfalseblankresolvedUSR0106blank
MOD007flagged155truegraphic violenceMTR1002Carlos RuizMadrid, SpainSHIFT022024-06-10T10:00:00Z2024-06-10T18:00:00ZPLAT02RobloxCNT1007video2024-06-10T17:02:35ZtrueMG101pendingUSR0107Disturbing video content
MOD008approved18falseblankMTR1003Priya NairMumbai, IndiaSHIFT032024-06-10T06:00:00Z2024-06-10T14:00:00ZPLAT03ValorantCNT1008chat2024-06-10T12:45:59ZfalseblankresolvedUSR0108blank

What the 45 rows show

from the 45-row sample

Rejected (moderation action) stands out: 10 of its 10 rows have user_reported = true, against 8 of 35 for the rest.

  • 40%user_reported = true
  • 45median review_duration_seconds
  • 2outcome statuses
  • 5platforms
  • 5platform names
  • 5content types
User reported rate by moderation_actionuser_reported = true
0%50%100%0%approved0 of 23100%rejected10 of 1067%flagged8 of 12
review_duration_seconds45 rows, in bands of 20
061281294333210100180review_duration_seconds →

Median 45, from 9 to 165.

action_reason22 rows with a value · 23 left blank
  1. harassment4
  2. graphic violence3
  3. spam3
  4. offensive language2
  5. inappropriate username2
  6. nudity2
  7. hate speech2
  8. racist imagery1
  9. profanity1
  10. sexual content1
21 columns by typefrom the column list below
  • string 15
  • integer 1
  • datetime 3
  • boolean 2

Columns

21 columns in four groups
blueprint · 21 columns
columntypedescriptionexample
Text 15 columns
moderation_idstringUnique identifier for each moderation session or actionuniqueMOD001
moderator_idstringUnique identifier for the moderator performing the actionMTR1001
moderator_namestringFull name of the moderatorAlice Chen
moderator_locationstringGeographical location (city/country) of the moderatoroptionalToronto, Canada
shift_idstringUnique identifier for the moderator's shiftSHIFT01
platform_idstringUnique identifier for the gaming platform or game5 platformsPLAT01
platform_namestringName of the gaming platform or game5 namesFortnite
content_idstringUnique identifier for the content item being moderatedCNT1001
content_typestringType of content moderated (e.g., chat, image, video, username)chat · image · video · username · otherchat
moderation_actionstringAction taken by the moderator (e.g., approved, rejected, flagged, escalated)approved · rejected · flagged · escalated · otherapproved
action_reasonstringReason for the moderation action (e.g., offensive language, spam, harassment)11 reasons · optionaloffensive language
manager_idstringUnique identifier for the manager (if escalated)5 managers · optionalMG101
outcome_statusstringFinal outcome of the moderation (e.g., resolved, pending, reversed)resolved · pending · reversedresolved
user_idstringUnique identifier for the user whose content was moderatedoptionalUSR0101
notesstringAdditional notes or comments from the moderatoroptionalDisturbing video content
Numbers 1 column
review_duration_secondsintegerTime taken (in seconds) to review and moderate the content0 or more52
Dates and times 3 columns
shift_start_timedatetimeStart time of the moderator's shift2024-06-10T08:00:00Z
shift_end_timedatetimeEnd time of the moderator's shift2024-06-10T16:00:00Z
action_timestampdatetimeTimestamp when the moderation action was performed2024-06-10T09:15:23Z
True or false 2 columns
escalated_to_managerbooleanIndicates if the content was escalated to a manager for further reviewfalse
user_reportedbooleanIndicates if the content was initially reported by a userfalse

Use it for

  • user reported40%18 of 45 rowsmean review duration …46.0approv…61.3reject…79.0flagged

    A gaming dashboard

    The user_reported rate, review_duration_seconds by moderation_action and a breakdown of action_reason. Excel, Power BI or Tableau.

  • Why do 18 of 45 rows have user_reported = 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 moderations with moderator_id, moderator_name and moderator_location to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 21 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset45 rows21 columns
Yours1,000 rows21 columnsmoderator_location: UK only

blueprint · gaming-content-moderation-productivity

Behind this dataset

Same schema. As many rows as you need.

These 45 rows came out of a blueprint — 21 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 represents a moderator's shift and moderation outcomes
  • Include fields for flagged content count, resolved cases, escalation rate
  • Capture remote location (region/country) of moderator
  • Shifts must be classified by duration and type (e.g., chat, forum, in-game)
  • Moderation outcomes must be timestamped and categorized (approved, rejected, escalated)
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
gaming-content-moderation-productivity

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