Measuring climate backlash in Twitter and Reddit archives: Lexical definitions, recorded responses and participant turnover
Read the original on arXiv AI →The study analyzes four Twitter and Reddit archives to examine how lexical definitions, recorded responses, and participant turnover affect measurements of climate backlash. By applying transparent, non-exclusive lexical rules to all registered files, the authors link frame co-occurrence to source-specific temporal and response models, revealing that renewable‑energy terms co‑occur with cost‑related language on Reddit, while narrower backlash phrases reverse the Paris Agreement contrast. The research shows that returning‑author expression and participant turnover both contribute to increased protest‑language shares around the 2019 global climate strike, and that operational definitions and platform‑specific response fields shape what can be claimed about climate backlash. whyItMatters":"The findings highlight that how data are defined and processed can significantly alter conclusions about climate backlash, underscoring the need for careful methodological transparency in social media research."
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