Climate campaigns on X raise happiness by 9.02 points, reduce action language
A new study published on arXiv examined 364,118 public X posts from climate‑related events over 19 years. Researchers used a weighted lexical model to estimate happiness, hope, collective capability, distress and action language. They found that during event periods happiness prevalence was 9.02 percentage points higher than the pre‑event baseline, but action language fell by 10.75 points. The…
1 source primary source
Key points
- Event‑period happiness up 9.02 percentage points vs pre‑event baseline.
- Action language down 10.75 points during events.
- Higher happiness posts less likely to spark retweet cascades.
Read the original at arXiv cs.CL · by Wentao Xu primary sourceOpen source ↗
Topics · follow one to build your own front page
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us.
More in Research
All →- DeepInstructor agentic framework improves idea evaluation using experience graph from 58,607 peer reviews · 1 src
- Researchers identify context poisoning as extreme-value attention interference in long-context language models · 1 src
- AdaMem improves soft compression for retrieval-augmented generation · 1 src
- Researchers propose CLIC to compare coding behaviors of large language models · 1 src
- Researchers propose zero-inference prospective term that boosts personal memory recall · 1 src
Comments
via GitHub Discussions