Fresh Look at Social Media for Science Communication (#DecodeSci)

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Radicals and reactionaries, Utopians and Luddites - round and round we argue in tedious circles about whether social media is worthwhile. The one thing we can agree on is that these tools are …

Radicals and reactionaries, Utopians and Luddites - round and round we argue in tedious circles about whether social media is worthwhile. The one thing we can agree on is that these tools are transforming the way information flows through society.

These dramatic shifts demand the attention of those who believe that science communication has the power to ward off misery, disease, and death. So when we debate, "Should every research be on twitter?" or "Does blogging help or hurt scientific careers?” the arguments we make matter deeply. On one hand, choosing not to engage carries its own costs and consequences. On the other, misdirecting precious hours of effort is a demoralizing waste. Worst of all, we might inadvertently do more harm than good by polarizing audiences, reinforcing misinformation, and politicizing research.

Given the high stakes of getting it wrong, science communicators and proponents need to be as rigorous in our approach to social media as we are in the science we share with them. I'll highlight recent research from communication, network science, and psychology to challenge common assumptions and arguments for (and against) social media. Together we’ll explore whether we can put some of old arguments to rest and sink our teeth into new ones.

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  • 1. A FRESH LOOK DecodingScience - March 15, 2014 atsocialmediafor#scicomm CreativeCommons License NC - by Kayla C Liz Neeley -
  • 2. #DecodeSci @LizNeeley! @COMPASSonline www.COMPASSonline.org
  • 3. Creative Commons BY-NC-ND 2.0 - By dlemieux
  • 4. Paddling Monsters available for download on Vimeo from Tim Bonython Productions
  • 5. Creative Commons BY-NC-ND 2.0 - By Pietro Bellini
  • 6. (c) All rights reserved by Mathieu Martel
  • 7. Creative Commons BY-NC-ND 2.0 - By Pietro Bellini
  • 8. I simply don’t have time forthis
  • 9. RETURN INVESTMENT
  • 10. sowhat?Depends on the audience …! Everyone wants to know ! why this matters to them.
  • 11. (c) All rights reserved - MilesDavis.com
  • 12. SoundCloud.com
  • 13. Aedes aegypti - GNU Free Documentation License, Version 1.2 - Muhammad Mahdi Karim
  • 14. sowhat?
  • 15. Creative Commons BY-SA 2.0 by Rego
  • 16. Creative Commons License BY-NC-ND by Mathieu Bertrand Struck
  • 17. SOCIETY SCIENCE SELF
  • 18. www.experiment.com/
  • 19. When I see tweets like these, I get really happy.They are ordinary observations but from kids who would NEVER have thought about them before; the locations (urban spaces, especially), the casual language, the sense of affection or admiration for the birds - they give me a sense that I've wormed my way into someone's head.! - Margaret Rubega
  • 20. MSNBC The Big Idea - January 12, 2014
  • 21. Where did you get your news yesterday? MSNBC The Big Idea - January 12, 2014
  • 22. Creative Commons BY 2.0 - by Eric Fischer
  • 23. Slide&of&NY&Tweet&Loca1ons Creative Commons BY 2.0 - by Eric Fischer
  • 24. Creative Commons BY 2.0 - by Eric Fischer
  • 25. (c) All rights reserved by Russ Creech. Used with permission
  • 26. www.Facebook.com/EnableOrganization
  • 27. SOCIETY SCIENCE SELF
  • 28. social social media is
  • 29. RECEIVER SIGNALER CreativeCommons License BY-NC-SA 2.0 by Coby Bidwell
  • 30. youTube - (c) The Patricelli Lab - Greater sage-grouse strut display
  • 31. CreativeCommons License BY-NC 2.0 by Bryant Olsen
  • 32. transmit perform react
  • 33. network effects
  • 34. Pomacentrus amboinensis! Pomacentrus moluccensis! Siebeck et al (2010) Current Biology
  • 35. Ultravioletspectrum Siebeck et al (2010) Current Biology
  • 36. signalvs noise
  • 37. There is no such thing ! as information overload! only filter failure. -ClayShirky
  • 38. Rattus norvegicus - CreativeCommons License BY-NC-SA 2.0 by Dean Thorpe Galef (2002) Appetite Galef et al (2007) Animal Behavior
  • 39. No one can personally comprehend nearly as much of what is known to science as it makes sense for them - as consumers, as health-care recipients, as democratic citizens - to accept as known by science. -DanKahan
  • 40. familiarity
  • 41. http://ed.fnal.gov/projects/scientists - drawings L to R by Amy, Andrea, and Beth
  • 42. http://ed.fnal.gov/projects/scientists - drawings L to R by Amy, Andrea, and Beth
  • 43. http://lookslikescience.tumblr.com/
  • 44. What if scientists and the science-knowledgeable stepped out of their science communities ! and became trusted ! nerd nodes? -EmilyWillingham
  • 45. Modified from Noshir Contractor (2013) (c) David Krackhardt
  • 46. Isolation Modified from Noshir Contractor (2013) (c) David Krackhardt
  • 47. Popularity Modified from Noshir Contractor (2013) (c) David Krackhardt
  • 48. “Closeness” Modified from Noshir Contractor (2013) (c) David Krackhardt Degrees of separation
  • 49. “Betweeness” Modified from Noshir Contractor (2013) (c) David Krackhardt Connection among groups
  • 50. -DanielleLee @DNLee5 National Science & Technology ! News Service
  • 51. -MónicaFeliú-Mójer @moefeliu Ciencia Puerto Rico
  • 52. networks
  • 53. Betta splendens - Creative Commons License BY-NC-ND by Chantal Wagner Bertucci et al (2014) Animal Cognition
  • 54. Image in public domain - Wikimedia Commons
  • 55. Image in public domain - Wikimedia Commons
  • 56. Image in public domain - Wikimedia Commons
  • 57. All rights reserved - Paul Bunyard (2013) on Vimeo
  • 58. Illustration by G.A. Harker. From Don Quixote / by Miguel de Cervantes ; retold by James Baldwin
  • 59. understand the context
  • 60. build better networks
  • 61. make art, ! take chances, ! analyze the results
  • 62. A FRESH LOOK! forsciencecommunication