Also, crowd-based message ratings were predictive for downstream outcomes: they significantly predicted shifts in climate change concern and information search behavior. This makes empirical message ratings useful for assessing the quality of climate communication.
The same pattern emerged for different political subgroups (right-leaning people liked climate messages overall less, but they agreed with left-leaning participants on the ranking).
We're excited to announce the Spring 2026 Cooperation Colloquia!
With @yanchenl.bsky.social @minhuayan.bsky.social @saptarshi.bsky.social @aronszekely.bsky.social @shafenbraedl.bsky.social @shuxianjin.bsky.social @smconstantino.bsky.social and more
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We release the validated database with real-world Twitter pro-climate messages (distilled from an original pool of all posts from more than 3600 climate communicators) alongside the preprint. Messages were manually rated and categorized (pre-LLM era ;-) with a taxonomy that we newly developled)
Some degree of cross-cultural consensus on which pro-climate messages were liked best: Crowd-based message ratings showed significant overlap between the U.K., China, the US and Germany.
Cheers to my co-authors @tspampatti.bsky.social and Ulf Hahnel.
Check out my interview with PLOS Climate, and while you are at it, the other editions of this cool series on young climate researchers. I particularly enjoy reading what others think about the future of climate research: a mix of interesting ideas with a dose of optimism.