A FRESH LOOK
DecodingScience - March 15, 2014
atsocialmediafor#scicomm
CreativeCommons License NC - by Kayla C
Liz Neeley -
#DecodeSci
@LizNeeley!
@COMPASSonline
www.COMPASSonline.org
Creative Commons BY-NC-ND 2.0 - By dlemieux
Paddling Monsters available for download on Vimeo from Tim Bonython Productions
Creative Commons BY-NC-ND 2.0 - By Pietro Bellini
(c) All rights reserved by Mathieu Martel
Creative Commons BY-NC-ND 2.0 - By Pietro Bellini
I simply don’t have time
forthis
RETURN
INVESTMENT
sowhat?Depends on the audience …!
Everyone wants to know !
why this matters to them.
(c) All rights reserved - MilesDavis.com
SoundCloud.com
Aedes aegypti - GNU Free Documentation License, Version 1.2 - Muhammad Mahdi Karim
sowhat?
Creative Commons BY-SA 2.0 by Rego
Creative Commons License BY-NC-ND by Mathieu Bertrand Struck
SOCIETY
SCIENCE
SELF
www.experiment.com/
When I see tweets like these, I
get really happy.They are
ordinary observations but from
kids who would NEVER have
thought...
MSNBC The Big Idea - January 12, 2014
Where did you get your news yesterday?
MSNBC The Big Idea - January 12, 2014
Creative Commons BY 2.0 - by Eric Fischer
Slide&of&NY&Tweet&Loca1ons
Creative Commons BY 2.0 - by Eric Fischer
Creative Commons BY 2.0 - by Eric Fischer
(c) All rights reserved by Russ Creech. Used with permission
www.Facebook.com/EnableOrganization
SOCIETY
SCIENCE
SELF
social
social media is
RECEIVER
SIGNALER
CreativeCommons License BY-NC-SA 2.0 by Coby Bidwell
youTube - (c) The Patricelli Lab - Greater sage-grouse strut display
CreativeCommons License BY-NC 2.0 by Bryant Olsen
transmit
perform
react
network effects
Pomacentrus amboinensis!
Pomacentrus moluccensis!
Siebeck et al (2010) Current Biology
Ultravioletspectrum
Siebeck et al (2010) Current Biology
signalvs noise
There is no such thing !
as information overload!
only filter failure.
-ClayShirky
Rattus norvegicus - CreativeCommons License BY-NC-SA 2.0 by Dean Thorpe
Galef (2002) Appetite
Galef et al (2007) Animal Be...
No one can personally
comprehend nearly as
much of what is known to
science as it makes sense
for them - as consumers, as
...
familiarity
http://ed.fnal.gov/projects/scientists - drawings L to R by Amy, Andrea, and Beth
http://ed.fnal.gov/projects/scientists - drawings L to R by Amy, Andrea, and Beth
http://lookslikescience.tumblr.com/
What if scientists and the
science-knowledgeable
stepped out of their
science communities !
and became trusted !
nerd node...
Modified from Noshir Contractor (2013) (c) David Krackhardt
Isolation
Modified from Noshir Contractor (2013) (c) David Krackhardt
Popularity
Modified from Noshir Contractor (2013) (c) David Krackhardt
“Closeness”
Modified from Noshir Contractor (2013) (c) David Krackhardt
Degrees of separation
“Betweeness”
Modified from Noshir Contractor (2013) (c) David Krackhardt
Connection among groups
-DanielleLee
@DNLee5
National Science &
Technology !
News Service
-MónicaFeliú-Mójer
@moefeliu
Ciencia Puerto Rico
networks
Betta splendens - Creative Commons License BY-NC-ND by Chantal Wagner Bertucci et al (2014) Animal Cognition
Image in public domain - Wikimedia Commons
Image in public domain - Wikimedia Commons
Image in public domain - Wikimedia Commons
All rights reserved - Paul Bunyard (2013) on Vimeo
Illustration by G.A. Harker. From Don Quixote / by Miguel de Cervantes ; retold by James Baldwin
understand the
context
build better
networks
make art, !
take chances, !
analyze the
results
A FRESH LOOK!
forsciencecommunication
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
Fresh Look at Social Media for Science Communication (#DecodeSci)
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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 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.

Published in: Social Media

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

  1. 1. A FRESH LOOK DecodingScience - March 15, 2014 atsocialmediafor#scicomm CreativeCommons License NC - by Kayla C Liz Neeley -
  2. 2. #DecodeSci @LizNeeley! @COMPASSonline www.COMPASSonline.org
  3. 3. Creative Commons BY-NC-ND 2.0 - By dlemieux
  4. 4. Paddling Monsters available for download on Vimeo from Tim Bonython Productions
  5. 5. Creative Commons BY-NC-ND 2.0 - By Pietro Bellini
  6. 6. (c) All rights reserved by Mathieu Martel
  7. 7. Creative Commons BY-NC-ND 2.0 - By Pietro Bellini
  8. 8. I simply don’t have time forthis
  9. 9. RETURN INVESTMENT
  10. 10. sowhat?Depends on the audience …! Everyone wants to know ! why this matters to them.
  11. 11. (c) All rights reserved - MilesDavis.com
  12. 12. SoundCloud.com
  13. 13. Aedes aegypti - GNU Free Documentation License, Version 1.2 - Muhammad Mahdi Karim
  14. 14. sowhat?
  15. 15. Creative Commons BY-SA 2.0 by Rego
  16. 16. Creative Commons License BY-NC-ND by Mathieu Bertrand Struck
  17. 17. SOCIETY SCIENCE SELF
  18. 18. www.experiment.com/
  19. 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. 20. MSNBC The Big Idea - January 12, 2014
  21. 21. Where did you get your news yesterday? MSNBC The Big Idea - January 12, 2014
  22. 22. Creative Commons BY 2.0 - by Eric Fischer
  23. 23. Slide&of&NY&Tweet&Loca1ons Creative Commons BY 2.0 - by Eric Fischer
  24. 24. Creative Commons BY 2.0 - by Eric Fischer
  25. 25. (c) All rights reserved by Russ Creech. Used with permission
  26. 26. www.Facebook.com/EnableOrganization
  27. 27. SOCIETY SCIENCE SELF
  28. 28. social social media is
  29. 29. RECEIVER SIGNALER CreativeCommons License BY-NC-SA 2.0 by Coby Bidwell
  30. 30. youTube - (c) The Patricelli Lab - Greater sage-grouse strut display
  31. 31. CreativeCommons License BY-NC 2.0 by Bryant Olsen
  32. 32. transmit perform react
  33. 33. network effects
  34. 34. Pomacentrus amboinensis! Pomacentrus moluccensis! Siebeck et al (2010) Current Biology
  35. 35. Ultravioletspectrum Siebeck et al (2010) Current Biology
  36. 36. signalvs noise
  37. 37. There is no such thing ! as information overload! only filter failure. -ClayShirky
  38. 38. Rattus norvegicus - CreativeCommons License BY-NC-SA 2.0 by Dean Thorpe Galef (2002) Appetite Galef et al (2007) Animal Behavior
  39. 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. 40. familiarity
  41. 41. http://ed.fnal.gov/projects/scientists - drawings L to R by Amy, Andrea, and Beth
  42. 42. http://ed.fnal.gov/projects/scientists - drawings L to R by Amy, Andrea, and Beth
  43. 43. http://lookslikescience.tumblr.com/
  44. 44. What if scientists and the science-knowledgeable stepped out of their science communities ! and became trusted ! nerd nodes? -EmilyWillingham
  45. 45. Modified from Noshir Contractor (2013) (c) David Krackhardt
  46. 46. Isolation Modified from Noshir Contractor (2013) (c) David Krackhardt
  47. 47. Popularity Modified from Noshir Contractor (2013) (c) David Krackhardt
  48. 48. “Closeness” Modified from Noshir Contractor (2013) (c) David Krackhardt Degrees of separation
  49. 49. “Betweeness” Modified from Noshir Contractor (2013) (c) David Krackhardt Connection among groups
  50. 50. -DanielleLee @DNLee5 National Science & Technology ! News Service
  51. 51. -MónicaFeliú-Mójer @moefeliu Ciencia Puerto Rico
  52. 52. networks
  53. 53. Betta splendens - Creative Commons License BY-NC-ND by Chantal Wagner Bertucci et al (2014) Animal Cognition
  54. 54. Image in public domain - Wikimedia Commons
  55. 55. Image in public domain - Wikimedia Commons
  56. 56. Image in public domain - Wikimedia Commons
  57. 57. All rights reserved - Paul Bunyard (2013) on Vimeo
  58. 58. Illustration by G.A. Harker. From Don Quixote / by Miguel de Cervantes ; retold by James Baldwin
  59. 59. understand the context
  60. 60. build better networks
  61. 61. make art, ! take chances, ! analyze the results
  62. 62. A FRESH LOOK! forsciencecommunication

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