Social and behavioural science for information integrity and public trust
Social science studies how people form beliefs, trust institutions and act on information. In information integrity it supplies survey, experimental and qualitative evidence on exposure, belief, trust and the effects of interventions, with careful attention to measurement and context.
Social and behavioural science studies how individuals, groups and institutions think, act and organise. It explains vulnerability, risk perception, compliance and collective response to shocks. In information and public trust and society and human development, social science identifies who is exposed and less able to cope, and why warnings are or are not acted upon. It informs equitable design of policies and interventions across interconnected risks. The canonical description is on the STEM Commons.
Measuring trust and exposure
Surveys are designed and weighted to estimate trust and news exposure across populations, with question wording and sampling error reported.
Testing interventions
Randomised experiments compare labels, prebunking and corrections on belief and sharing, with effect sizes and durations stated.
Qualitative study of information needs
Interviews and focus groups in communities identify what people want to know and whom they trust, before messages are designed.
03Monitor
Survey analysis.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Survey analysis
Information integrity · Social and behavioural science · Run R-9228
Estimates stableGRF · Information Integrity and Public Trust
Estimates
robust standard errors
Narratives monitored
0.26
0.17
[−0.1, 0.7]
No
Items verified
0.12
0.11
[−0.1, 0.4]
Yes
Median time to correction
0.54
0.16
[0.1, 0.8]
Yes
Trust in authority information
0.17
0.03
[0.1, 1.0]
No
Method card
Method
Social and behavioural science
Sample
8069 obs
Design
stratified, weighted
Label
MODELLED
Residuals by group
Survey analysis: the screen's structure, terms and states for Information integrity.Example names and illustrative values; a design, not a record or a live system.
04Data
What the method consumes.
Datasets and records used by social and behavioural science on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
Data
Role
Label
Cross-national surveys
Attitudes and use
ESTIMATED
Experimental studies
Intervention effects
ESTIMATED
Interview and focus group records
Information needs
OBSERVED
Electoral and administrative records
Civic outcomes
Published statistics
05Decision model
What tips a population into acting.
How the share of early movers and the thresholds people hold decide whether a protective behaviour, or a false narrative, stays local or spreads to most people. Teaching model with stated illustrative values, not a prediction.
Controls
Mean threshold (share of neighbours)
18%
Spread of thresholds
8 points
Early movers
2.0% of people
Contacts per person
8
Readouts
Share who acted in the end
100%
Global cascade
Yes
Steps to settle
11
Numbers, methods and sources
Step
Share who have acted (%)
0
2.8
1
9.3
2
23.0
3
40.0
4
54.8
5
69.3
6
83.5
7
91.8
8
95.3
9
98.3
10
100.0
11
100.0
Methods
Threshold models of collective behaviour Granovetter (1978), American Journal of Sociology 83
Global cascades on random networks Watts (2002), PNAS 99
Complex contagions Centola and Macy (2007), American Journal of Sociology 113
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.
What tips a population into acting. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Threshold models of collective behaviour (Granovetter (1978), American Journal of Sociology 83); Global cascades on random networks (Watts (2002), PNAS 99); Complex contagions (Centola and Macy (2007), American Journal of Sociology 113).
Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.
Check
How it is done
Measurement validity
Survey items are checked for what they actually measure
External validity
Experimental results are reported with the setting and population they come from
Replication
Findings are compared with replications before they inform policy
Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.
07Implementation
From mandate to evaluation, by pillar.
The steps an instrument takes from mandate to evaluation, each with the pillar that runs it, and the decisions that stay with the authority. Teaching model with stated illustrative values, not a prediction.
Mandate and problem framingCompetent authority (outside the programme) A competent authority frames the problem and the mandate under its own rules. Howlett, Ramesh and Perl (2009)
Evidence and system modelFoundry The system is modelled with its feedbacks, data and stated limits. OECD (2014), principle 2
Options appraised with scenariosFoundry Instruments are compared under scenarios, with uncertainty shown. Hood (1983)
Exercise with stakeholdersUniverse The options are tested in an exercise with those who would implement and bear them. OECD (2014), principle 3
Standard or guidance draftedNexus Standards What works is codified as a standard or guidance, open to comment. Nexus Standards process
Decision by the authorityCompetent authority (outside the programme) The authority decides, outside the programme, with the evidence on record. Howlett, Ramesh and Perl (2009)
Capacity and trainingRisk Academy Those who implement are trained on the decided instrument and its data. Sendai Framework (2015), priority 2
Monitoring and public reportReports Indicators are published with sources, limits and corrections. OECD (2014), principle 5
Evaluation and revisionNexus Standards Results return to the standard and the model: the cycle closes. Howlett, Ramesh and Perl (2009)
Methods
Policy cycle Howlett, Ramesh and Perl (2009), Studying Public Policy, Oxford University Press
Governance of critical risks OECD (2014), Recommendation of the Council on the Governance of Critical Risks
Layered drawing of directed graphs Sugiyama, Tagawa and Toda (1981), IEEE SMC 11
From mandate to evaluation, by pillar: the steps as recorded, each with its pillar; sources as cited on each step.
The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.
Accountability cycle
How commitments on social and behavioural science for information integrity and public trust are held to account, from commitment to correction.
CommitGovernmentA commitment with a mandate and a legal basis.
PlanLead agencyA national plan with owners and milestones.
ResourceMinistry of financeA budget line or financing on record.
ImplementAgencies and local governmentDelivery against the plan.
ReportStatistics officeIndicators reported in agreed definitions.
ReviewLegislature, audit, civil societyIndependent review of results and gaps.
CorrectGovernmentChanges to the plan, published with reasons.
A generic accountability cycle; the owner of each step follows the country's own constitution and law.
Sendai Framework for Disaster Risk Reduction · UNDRRParis Agreement · UNFCCC2030 Agenda and the Sustainable Development Goals · United NationsInternational Health Regulations · WHO
10Stewardship
Who maintains the method.
Society and Human Development stewards social and behavioural science for the Consortium and reviews how it is applied across platforms.
What are the limits of social and behavioural science in this field?
Behaviour is context dependent and may change under stress. Self-reported data carry recall and social desirability biases.
How are results checked?
Findings are tested through replication, triangulation of methods and pre-registered designs. Measurement instruments are checked for reliability and validity.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method's use, not a run; no result is reported here.
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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