!scicomm
@mander.xyzhttps://www.vox.com/even-better/24063556/overwhelmed-climate-anxiety-catastrophizing-values-action
How to act in service of the planet — and your values.
https://effectiveactivist.com/intro/
http://ccr.sigcomm.org/online/files/p83-keshavA.pdf
https://www.themarginalian.org/2014/01/03/baloney-detection-kit-carl-sagan/
Necessary cognitive fortification against propaganda, pseudoscience, and general falsehood.
https://www.sciencemediacentre.org/working-with-us/for-journalists/roundups-for-journalists/
https://blogs.lse.ac.uk/impactofsocialsciences/2016/05/09/how-to-read-and-understand-a-scientific-paper-a-guide-for-non-scientists/
From vaccinations to climate change, getting science wrong has very real consequences. But journal articles, a primary way science is communicated in academia, are a different format to newspaper a…
https://reactormag.com/seven-speculative-stories-about-preserving-history-and-culture/
Which stories, knowledge, and experiences are worth saving, no matter the cost, and what can we do to keep them alive?
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0308919
This study assesses whether references to the ancient past in debates about political issues on social media over-represent negative and extreme views. Using precision-recall, we test the performance of three sentiment analysis methods (VADER, TextBlob and Flair Sentiment) on a corpus of 1,478,483 posts, comments and replies published on Brexit-themed Facebook pages between 2015 and 2017. Drawing on the results of VADER and manual coding, we demonstrate that: 1) texts not containing keywords relating to the Iron Age, Roman and medieval (IARM) past are mostly neutral and 2) texts with IARM keywords express more negative and extreme sentiment than those without keywords. Our findings show that mentions of the ancient past in political discourse on multi-sided issues on social media are likely to indicate the presence of hostile and polarised opinions.
https://en.wikipedia.org/wiki/Sealioning