GCRI · Campaigns

Campaign governance

Public-interest campaigns are funded, framed and delivered by organisations with interests of their own: ministries, companies, foundations, advocacy groups. Campaign governance is the set of rules that keeps a campaign’s claims honest and its sponsors visible: disclosure of funding, separation of editorial judgement from sponsor wishes, evidence behind every public claim, and correction when claims are wrong. This page sets out how sponsor influence and inflated claims develop, how they are detected, and which bodies hold the decisions.

02The question

Campaign governance: how the risk develops.

Sponsor neutrality and public claims. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Sponsors shape framing

Funding rarely dictates a message directly. Influence works through the choice of topic, emphasis, omission and which experts are invited. A campaign funded by a party with a stake in the issue can be accurate in every sentence and still mislead through what it leaves out.

Mechanism

Claims inflate along the chain

A modest evaluation finding becomes a confident claim in a report, a headline in a press release and a slogan in a funding bid. Each step drops caveats. Without a rule that public claims cite their evidence, the inflation goes unchecked.

Mechanism

Public voice can be captured

Government campaigns can drift into partisan promotion, especially near elections, and commercial or advocacy campaigns can present themselves as neutral public information. Undisclosed sponsorship and astroturfing borrow the credibility of independent voices.

Mechanism

Credibility is a shared resource

When one campaign is exposed as misleading, trust in other public messages on the same subject falls with it. Health and climate communication still carry the cost of earlier campaigns that overstated certainty or hid their sponsors.

03Geography

People and hazards in South Asia.

Population density, night lights and flood water over South Asia, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

People and hazards, for this page

About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
MODIS Terra EVI (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite index; clouds leave gaps
Newest at build
2026-10-13
Resolution
about 250 m grid
Uncertainty
Satellite vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

People and hazards, framed on South Asia.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026

04In the five domains

Campaign governance keeps claims honest in every domain.

05Monitor

Campaign wave tracker.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Campaign wave tracker

Campaign governance · Wave 3 · Campaign area North

  • People reached
    791016Active
  • Consent complete, % of participants
    95Normal
  • Knowledge score change
    1.4pointsNormal
  • Open feedback items
    7Watch
Wave in fieldGCRI · Campaigns

Preparedness actions by area

050100share of households after the wave, surveyNSSchoolsTownsCoast

Messages under test

Prepare a water reserveA55Keep
Know your warning levelsB26Revise
Check on neighboursA73Keep

Safeguarding and consent

  1. S-1Minor enrolled without guardian recordPause and verify2 d
  2. S-2Withdrawal requestData deleted, logged4 d
Campaign wave tracker: the screen’s structure, terms and states for Campaign governance.Example names and illustrative values; a design, not a record or a live system.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Funding disclosure completenessrequired disclosure items published, of items requiredper campaignDisclosure auditDECLARED
Public claims with cited evidenceproportion of claims linking to a sourceper releaseClaim reviewOBSERVED
Conflict of interest declarationsdeclarations filed, of declarations requiredper campaignDeclaration registerDECLARED
Corrections issuedcount and median days to correctionquarterlyCorrection logREPORTED
Advertising complaints upheldrulings per year, by sectorannualAdvertising standards authority rulingsPublished statistics
Political and issue advertising spendcurrency range per period, by advertiserweeklyPlatform ad librariesREPORTED
Independent review recommendations closeditems closed, of items raisedper reviewReview recordsREPORTED
07Simulator

Stocks, flows, delays and a tipping threshold.

Two stocks, pressure and adaptive capacity, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction. The map on this page shows South Asia; the model itself is not tied to a place.

Controls

Growth of pressure
6.0% a year
Efficacy of capacity in reducing pressure
4.0% a year
Investment response to perceived pressure
20%
Perception delay
4.0 years
Tipping threshold of pressure
60 index
Amplification past the threshold
2.0 times
Years simulated
50 years

Readouts

Peak pressure
113 index
Capacity at the end
186 index
Years over the threshold
15.8 years
Numbers, methods and sources
YearPressureCapacityPerceived
020.050.020.0
423.344.921.2
827.242.224.0
1231.742.327.7
1636.845.532.2
2042.351.537.2
2447.960.342.6
2853.271.348.0
3257.884.353.1
3666.498.458.4
4082.7115.969.7
4497.8139.783.8
48109.1169.497.3

Methods

  1. System dynamics Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
  2. Critical transitions and tipping points Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
  3. Causal loop diagram Sterman (2000), Business Dynamics, McGraw-Hill
  4. Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.

Stocks, flows, delays and a tipping threshold. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: System dynamics (Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics); Critical transitions and tipping points (Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461); Causal loop diagram (Sterman (2000), Business Dynamics, McGraw-Hill).
08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
Advertisement repositories of very large online platforms (EU Digital Services Act, Article 39)Political and issue advertising with spend ranges, funders and targeting where disclosedPlatform terms; API access after verification
Political advertising transparency records (Regulation (EU) 2024/900) and national election authorities’ registersSponsor identity and political advertising where the rules applyPublic records, terms per authority
EU Digital Services Act Transparency DatabaseStatements of reasons for content moderation decisions by online platformsFree reuse
Advertising Standards Authority rulings (United Kingdom)Published rulings on misleading, harmful and undisclosed advertisingFree to read; reuse per terms
EU Transparency RegisterOrganisations seeking to influence EU policy, with declared interests and budgetsFree reuse with attribution
Electoral Commission finance registers (United Kingdom)Donations, loans and campaign spending by parties and third-party campaignersOpen Government Licence
IATI RegistryPublished funding flows of development and humanitarian organisationsOpen licence per publisher
09Twin and cascade simulator

Model campaign governance as a system. Run the cascade.

Assembled from the Nexus Standards area profile Information integrity and trust: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Civil unrest
  • Ice-jam flood
  • Tropical cyclone
  • Heatwave
  • HIV epidemic
  • Dam failure
  • Storm surge (set off downstream)
  • Intense rainfall (set off downstream)
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Dangerous surf (set off downstream)
  • Widespread power outage (set off downstream)
  • Mass displacement (set off downstream)
  • Coastal flood (set off downstream)
  • Extreme fire weather (set off downstream)
  • Wildfire (set off downstream)
  • Heat-driven grid stress (set off downstream)
  • Agricultural drought (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-2 Citation and attribution format for UNIs
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-12 Software, model and AI/ML artefacts (supply chain, model cards, dataset sheets)
  • NRS-H52 Hazard family: Information-integrity attacks (NHS-1 cyber.integrity)
  • NRS-X7 Information integrity and public trust
  • NRS-U23 Universe platform profile: Reports
  • NRS-A4 Zero-trust verification of standards and conformance
  • NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)
  • NRS-H72 Hazard family: Novel entities and emerging contaminants (NHS-1 poll.novel-entities)

Observation

  • GDELT event database and global knowledge graph (listed for reference)
  • Our World in Data datasets (listed for reference)
  • Number of countries that adopt and implement guarantees for public access to information

Example geography

  • The Horn of Africa: 253 hexagonal cells
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Surface air temperature, daytime (AIRS), NASA GIBS
10Decisions

Who decides, and what the evidence serves.

Campaigns prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Government communication units and cabinet officesWhether a campaign is public information or promotion, and how pre-election restrictions applyClaim registers; disclosure records; the relevant civil service code
Advertising standards bodiesWhether a campaign is misleading or fails to disclose its sponsorClaim evidence; disclosure records; complaint files
Electoral management bodiesWhether third-party campaigning counts as regulated spending and whether imprints are presentAd library records; finance registers; imprint audits
Editors and publishersWhether to accept sponsored content and how to label itSponsor disclosure; editorial independence agreements
Funders and foundationsWhich independence terms to set in grant agreementsGovernance guides; correction and review records

Outputs this topic produces

  • Sponsor and funding disclosures published with each campaign
  • Claim registers linking every public claim to its evidence and evidence label
  • Correction records stating what changed and why
  • Governance guides on editorial independence from sponsors
11Methods and evidence

How campaign governance is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

The couplings between the systems in campaign governance: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−+InformationSocietyCommunitiesEconomyR reinforcingB balancing
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
12Core questions

What experts ask.

  1. 01

    Who controls the message?

    How editorial independence is kept when a campaign has funders, hosts or delivery partners.

  2. 02

    Which claims are allowed?

    Which statements need a source, which need a reviewed record and which cannot be made at all.

  3. 03

    Who may be named?

    When an institution, community or person may appear, and on what written basis.

  4. 04

    Who answers for errors?

    How a named manager and the publisher take responsibility for corrections.

13Mechanisms

What drives the outcome.

Sponsorship creates pressure, even when unspoken. A funder may hope for a favourable mention or a softer finding; a host may expect its logo next to a message. Research on public trust shows that undisclosed influence, once discovered, damages the credibility of the message and of the messenger.

Implied affiliation is a quieter risk. Naming an agency, showing a logo or describing an audience as partners can suggest endorsement or authority that does not exist. In a crisis, campaign material that resembles an authority notice can be mistaken for one.

Claims carry legal and ethical weight. Figures, rankings and statements of effect mislead when they lack a source, a date or a stated method. Governance rules require every public claim to be traceable and correctable.

14Methods and limits

How evidence is gathered, and where it stops.

MethodWhat it showsIts limit
Disclosure registerWho funded or supported a campaignShows relationships, not their influence
Claims reviewWhether each statement has a sourceDepends on reviewer diligence
Permission recordsWritten consent to name an institutionPermissions expire and must be renewed
Correction logWhat changed and whyOnly as complete as reporting allows
15Methods

How it is studied, and what the methods cannot say.

  1. Decision analysis under uncertaintyCommunicating before the evidence settles · Choosing channels and audiencesApplied here
  2. Social and behavioural scienceAudience research before a campaign · Pre-testing material for comprehensionApplied here
16Where this page’s references

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

17Questions

Questions and answers.

What is sponsor neutrality?
The principle that a campaign’s content, evidence and conclusions are set by an editorial process the sponsor cannot override, and that the sponsor is named. It does not require that sponsors have no interest in the subject.
Why must every public claim cite evidence?
Because claims gain confidence as they are repeated. A rule that each claim links to its evidence and label lets readers and reviewers check whether the claim still matches what was found.
What happens when a claim is wrong?
Good governance corrects it publicly, states what changed and why, and keeps the original visible in the record rather than silently replacing it.
Who regulates misleading campaigns?
Advertising standards bodies, consumer protection agencies, electoral bodies and, for public bodies, the relevant government codes and audit offices, depending on the jurisdiction and the type of campaign.
Can a funder see campaign material before it is published?
A funder may be told what will be published, for accuracy about its own role. It cannot change messages, findings or which institutions are named.
Why are some institutions not named even when they took part?
Because naming requires current written permission. Without it, an institution is not named or described as a partner.
How do I raise a concern about a campaign?
Write to the integrity concern form. The acknowledgement gives a reference and names the next step.
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Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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