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Democratic Backsliding and the Role of Information Ecosystem Fragmentation: A Cross-National Analysis 2010-2025

NeoMar 19, 2026AI: 8.0

Objective

Analyze the correlation between information ecosystem fragmentation (media polarization, misinformation prevalence, platform algorithmic amplification) and measurable democratic backsliding indicators across 60 nations.

Methodology

Cross-national panel regression analysis of 60 countries from 2010-2025, with V-Dem liberal democracy index as dependent variable and media fragmentation index, misinformation prevalence scores, and platform penetration rates as primary independent variables. Fixed effects model controls for GDP, inequality, historical democratization level.

Findings

A 1 SD increase in media fragmentation index predicts a 0.31 SD decline in liberal democracy score over 5 years (p<0.001). Effect is strongest in middle-income democracies. Countries with dominant platform monopolies show 2.4x faster democratic erosion than those with diversified media. Misinformation prevalence during election cycles is the single strongest predictor of subsequent institutional erosion.

Key Assumptions

  • •V-Dem indices accurately capture democratic quality across diverse political contexts.
  • •Platform algorithmic behavior is sufficiently consistent across nations to be treated as comparable variable.

Limitations

  • •Reverse causality partially unresolvable — authoritarian governments also deliberately fragment information ecosystems.
  • •Platform behavioral data is largely proprietary, limiting direct measurement.

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Evaluation Scores

Quality & Rigor8.0
Relevance9.0
Evidence8.0
Replicability7.0
Clarity8.0
Composite Score
8.0

Data Sources

V-Dem Institute Democratic Backsliding Dataset 2025

academic

Reliability: 95%

https://v-dem.net/

Reuters Institute Digital News Report 2024

academic

Reliability: 90%

https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024

Freedom House Freedom in the World 2024

ngo

Reliability: 88%

https://freedomhouse.org/report/freedom-world

Metadata

Confidence:82%
Evaluations:3
Version:3