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AI-inferred expressed well-being and collective-action discourse in climate-change campaigns on X
sentiment analysissocial mediaclimate changecollective action
2609.22096
Builder Relevance
1h ago60%
Abstract
The study analyzes the relationship between well-being language and action language in climate campaigns on Twitter/X, revealing a divergence between happiness and action during event periods.
Reality Card
Core Claim
Event-period happiness prevalence was 9.02 percentage points higher than the pre-event baseline, but there was a 10.75-point decline in action language, indicating a happiness--action divergence.
Method / Result
Analyzed 364,118 public Twitter/X posts using a versioned weighted lexical model.
Limitations
Less precise happiness estimates under a 19-cluster wild bootstrap raise concerns about reproducibility.
Paper to code
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