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Causal language and strength of inference in academic and media articles shared in social media (CLAIMS): A systematic review.

Noah A HaberEmily R SmithEllen MoscoeKathryn G AndrewsRobin AudyWinnie BellAlana T BrennanAlexander BreskinJeremy C KaneMahesh KarraElizabeth S McClureElizabeth A Suareznull null
Published in: PloS one (2018)
We find a large disparity between the strength of language as presented to the research consumer and the underlying strength of causal inference among the studies most widely shared on social media. However, because this sample was designed to be representative of the articles selected and shared on social media, it is unlikely to be representative of all academic and media work. More research is needed to determine how academic institutions, media organizations, and social network sharing patterns impact causal inference and language as received by the research consumer.
Keyphrases
  • social media
  • health information
  • single cell
  • autism spectrum disorder
  • cross sectional
  • medical students
  • mental health
  • healthcare
  • health insurance
  • network analysis