Social Platform Moderation Carbon Tracker
This dataset provides detailed records of content moderation activities on social media platforms, including estimated carbon footprint, moderation type, reviewer location, energy source, and outcomes. It empowers trust & safety and ESG teams to monitor sustainability, optimize green practices, and fulfill regulatory reporting requirements for environmental impact.
Sample rows
preview · 8 of 55 rows · all 13 columns| moderation_idstring | moderation_typestring | moderation_duration_secondsfloat | platform_namestring | content_idstring | reviewer_idstring | reviewer_countrystring | reviewer_citystring | energy_sourcestring | estimated_carbon_footprint_kgco2efloat | moderation_timestampdatetime | moderation_outcomestring | esg_report_referencestring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MOD-0001 | automated | 1.5 | ChatterSphere | CNT-1001 | blank | blank | blank | renewable | 0.032 | 2024-04-02T10:12:08Z | approved | ESG-APR-2404-01 |
| MOD-0002 | manual | 120.3 | ChatterSphere | CNT-1002 | RVW-032 | Germany | Berlin | renewable | 0.154 | 2024-04-02T11:23:42Z | removed | ESG-RMV-2404-02 |
| MOD-0003 | hybrid | 54.7 | ChatterSphere | CNT-1003 | RVW-012 | India | Mumbai | mixed | 0.09 | 2024-04-02T12:10:47Z | escalated | ESG-ESC-2404-03 |
| MOD-0004 | automated | 2.1 | Buzzly | CNT-1004 | blank | blank | blank | non-renewable | 0.066 | 2024-04-02T13:44:16Z | flagged | ESG-FLG-2404-04 |
| MOD-0005 | manual | 110.8 | Buzzly | CNT-1005 | RVW-045 | United States | Austin | renewable | 0.128 | 2024-04-03T09:17:02Z | approved | ESG-APR-2404-05 |
| MOD-0006 | hybrid | 89.3 | Buzzly | CNT-1006 | RVW-016 | Brazil | São Paulo | mixed | 0.075 | 2024-04-03T10:22:11Z | removed | ESG-RMV-2404-06 |
| MOD-0007 | manual | 93.6 | Buzzly | CNT-1007 | RVW-027 | Canada | Montreal | renewable | 0.132 | 2024-04-03T11:34:55Z | flagged | ESG-FLG-2404-07 |
| MOD-0008 | automated | 1.2 | StreamZone | CNT-1008 | blank | blank | blank | renewable | 0.025 | 2024-04-03T12:41:33Z | approved | ESG-APR-2404-08 |
| MOD-0009 | manual | 147.1 | StreamZone | CNT-1009 | RVW-038 | United Kingdom | Manchester | non-renewable | 0.218 | 2024-04-03T13:15:27Z | removed | ESG-RMV-2404-09 |
| MOD-0010 | hybrid | 66.2 | StreamZone | CNT-1010 | RVW-019 | Japan | Osaka | mixed | 0.069 | 2024-04-03T14:09:59Z | escalated | ESG-ESC-2404-10 |
| MOD-0011 | automated | 2.3 | StreamZone | CNT-1011 | blank | blank | blank | non-renewable | 0.059 | 2024-04-03T15:21:17Z | flagged | ESG-FLG-2404-11 |
| MOD-0012 | manual | 105.4 | ChatterSphere | CNT-1012 | RVW-050 | Australia | Sydney | renewable | 0.117 | 2024-04-04T09:32:44Z | approved | ESG-APR-2404-12 |
| MOD-0013 | hybrid | 78.6 | ChatterSphere | CNT-1013 | RVW-021 | South Africa | Cape Town | mixed | 0.081 | 2024-04-04T10:17:19Z | removed | ESG-RMV-2404-13 |
| MOD-0014 | manual | 132.5 | Buzzly | CNT-1014 | RVW-067 | France | Paris | non-renewable | 0.205 | 2024-04-04T11:40:30Z | flagged | ESG-FLG-2404-14 |
| MOD-0015 | automated | 2 | Buzzly | CNT-1015 | blank | blank | blank | renewable | 0.036 | 2024-04-04T12:23:14Z | approved | ESG-APR-2404-15 |
| MOD-0016 | hybrid | 82.4 | Buzzly | CNT-1016 | RVW-024 | Singapore | Singapore | mixed | 0.074 | 2024-04-04T13:19:36Z | escalated | ESG-ESC-2404-16 |
| MOD-0017 | manual | 101.6 | Buzzly | CNT-1017 | RVW-073 | Mexico | Monterrey | renewable | 0.139 | 2024-04-04T14:01:50Z | removed | ESG-RMV-2404-17 |
| MOD-0018 | automated | 1.8 | Buzzly | CNT-1018 | blank | blank | blank | non-renewable | 0.052 | 2024-04-04T15:14:26Z | flagged | ESG-FLG-2404-18 |
| MOD-0019 | manual | 97.2 | StreamZone | CNT-1019 | RVW-081 | Italy | Rome | renewable | 0.124 | 2024-04-05T09:26:39Z | approved | ESG-APR-2404-19 |
| MOD-0020 | hybrid | 76.7 | StreamZone | CNT-1020 | RVW-029 | Nigeria | Lagos | mixed | 0.08 | 2024-04-05T10:08:48Z | removed | ESG-RMV-2404-20 |
What the 55 rows show
from the 55-row sampleAutomated (moderation type) stands out: mean moderation_
- 93.6median moderation_
duration_ seconds - 3energy sources
- 4moderation outcomes
- 0.14median estimated_
carbon_ footprint_ kgco2e
Median 93.6, from 1.2 to 158.2.
- string 10
- float 2
- datetime 1
Columns
13 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
moderation_id | string | Unique identifier for each moderation activity recordunique | MOD-0001 |
content_id | string | Unique identifier for the content being moderated | CNT-1001 |
moderation_type | string | Type of moderation performed (e.g., automated, manual, hybrid)automated · manual · hybrid | automated |
reviewer_id | string | Unique identifier for the human reviewer (if applicable)optional | RVW-032 |
reviewer_country | string | Country where the reviewer is locatedoptional | Germany |
reviewer_city | string | City where the reviewer is locatedoptional | Berlin |
energy_source | string | Primary energy source used for moderation (e.g., renewable, non-renewable, mixed)renewable · non-renewable · mixed | renewable |
platform_name | string | Name of the social media platform6 names | ChatterSphere |
moderation_outcome | string | Outcome of the moderation (e.g., approved, removed, escalated, flagged)approved · removed · escalated · flagged | approved |
esg_report_reference | string | Reference code or identifier for ESG reporting purposesoptional | ESG-APR-2404-01 |
| Numbers 2 columns | |||
estimated_carbon_footprint_kgco2e | float | Estimated carbon footprint of the moderation activity in kilograms of CO2 equivalent0 or more | 0.032 |
moderation_duration_seconds | float | Duration of the moderation activity in seconds0 or more · optional | 1.5 |
| Dates and times 1 column | |||
moderation_timestamp | datetime | Date and time when the moderation activity occurred | 2024-04-02T10:12:08Z |
Use it for
A social media dashboard
Moderation_
duration_ seconds by moderation_ type and a breakdown of platform_ name. Excel, Power BI or Tableau. Why do the 18 automated rows have a mean moderation_
duration_ seconds of 6.6? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Moderations55MOD-00011.5automatedMOD-0002120.3manualMOD-000354.7hybrid
A software demo
Believable moderations with content_
id, moderation_ type and reviewer_ id to fill a screen in front of a buyer.
blueprint · social-platform-moderation-carbon-tracker
Behind this dataset
Same schema. As many rows as you need.
These 55 rows came out of a blueprint — 13 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.
- Each log entry includes moderation action type, reviewer ID, location, and session duration.
- Calculates estimated energy consumption based on hardware and location energy mix.
- Carbon footprint derived using local grid emission factors.
- Flags high carbon sessions for review if exceeding set thresholds.
- Includes only actions performed in the last 30 days.
1 credit per row. New accounts start with 25 free credits.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- social-platform-moderation-carbon-tracker