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  1. Jan 2022
  2. psyarxiv.com psyarxiv.com
    Affect in science communication: A data-driven analysis of TED talks
    1
    1. jasminehollingworth 07 Jan 2022

      Fischer, O., Jeitziner, L., & Wulff, D. U. (2021). Affect in science communication: A data-driven analysis of TED talks. PsyArXiv. https://doi.org/10.31234/osf.io/28yc5

      lang:en is:preprint science communication affect data-driven TED talk peer general public understanding audience scientific content engagement affect valence density popularity polarity association topic sentiment analysis social media
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    psyarxiv.com/28yc5/
  3. Nov 2021
  4. twitter.com twitter.com
    ReconfigBehSci on Twitter
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    1. lucyparfitt16 02 Nov 2021

      ReconfigBehSci. (2021, November 2). The current JCVI minutes debate clearly illustrates the problems with Twitter and scientific debate: Meaning glossed, hedges and distinctions left behind, claims about arguments conflated with claims about people, paving the way to ramped up, emotive soundbites and claims. 1/7 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1455458854637117440

      is:tweet lang:en Twitter JCVI debate scientific debate communication platform social norms content promotion misrepresentation training linguistic distinction science visualization
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    twitter.com/SciBeh/status/1455458854637117440
  5. Aug 2020
  6. psycnet.apa.org psycnet.apa.org
    How readers understand causal and correlational expressions used in news headlines. - PsycNET
    1
    1. Danaeioak 28 Aug 2020

      Adams, R. C., Sumner, P., Vivian-Griffiths, S., Barrington, A., Williams, A., Boivin, J., Chambers, C. D., & Bott, L. (2017). How readers understand causal and correlational expressions used in news headlines. Journal of Experimental Psychology: Applied, 23(1), 1–14. https://doi.org/10.1037/xap0000100

      is:article lang:en scientific findings causation correlation exaggeration media headline scientific expressions modal verbs conditional causation causal implication relational expressions educational background lexical content syntactic construction practical implication degree of causation communicating science
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    psycnet.apa.org/record/2016-52933-001