Case Study
Czech Republic: Wind-Turbine Disinformation and Cross-Border Opposition Networks
Problem
The Czech wind-energy debate has become increasingly shaped by an organised opposition ecosystem in which misleading health claims circulate alongside legitimate concerns about municipal autonomy, planning procedures, landscape impact, compensation, and developer conduct.
For a renewable-energy developer active in the Czech market, the key question was whether visible opposition reflected isolated local frustration or a connected network capable of rapidly spreading claims across municipalities and national borders.
This distinction matters because false claims are harder to counter when they are embedded within genuine grievances and amplified by identifiable local activists. Focusing only on fact-checking risks dismissing residents’ concerns, while addressing only the grievances leaves the misleading claims unchallenged.
Our Research
Repsense analysed Czech and Slovak Facebook conversations around wind turbines over a 16-week period, from 31 January to 24 May 2026.
The study covered 5,139 public posts and group comments. Of these, 3,134 were grouped by semantic similarity into 76 topic threads and manually reviewed, with every cited claim linked to a specific post URL.
Repsense also conducted a network analysis of the pages and groups publishing the content, measuring how often the same actors appeared together across topic threads. The analysis examined misleading health claims, local project flashpoints, acceleration-zone debates, and direct references to the developer.
Findings
Two misleading claims formed the core of the opposition narrative: that turbine infrasound is dangerous many kilometres from a project and that blade erosion creates a cancer risk. The highest-reach infrasound post reached 2,765 users, while a prominent cancer-related post reached 1,520.
These claims travelled alongside genuine concerns about municipal consent, compensation, landscape protection, and legal procedure, increasing their credibility and making direct rebuttal more difficult.
Network analysis identified a fully connected core of seven Facebook pages and groups. Every pair appeared together in shared topic threads, averaging 24 shared threads per pair. The largest amplifier was a Slovak-language group, showing that the network operated across the Czech-Slovak border.
The wider discussion around one local project was the only topic thread in which all seven core actors converged. However, direct references to the developer remained limited, while broader health and environmental narratives reached much larger audiences.
The analysis therefore identified a limited intervention window. The developer’s name had not yet spread across the full network, creating an opportunity for transparent, locally grounded engagement. It also established an early-warning model: a new claim appearing on one core node could signal what the wider network was likely to amplify next.
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Dominyka Bernotaitė,
Head of Sales