Biodiversity and Conservation

, Volume 23, Issue 3, pp 715–726 | Cite as

Using data from online social networks in conservation science: which species engage people the most on Twitter?

Original Paper

Abstract

Knowledge about the level of public attention toward different species is crucial to successful conservation. The evolution of online social networks offers new possibilities for collecting data about public interest. Building on an analysis of text messages on Twitter, this study aimed to quantify the level of public attention toward different mammal and bird species listed (at the full species or subspecies/population level) under the United States’ Endangered Species Act (ESA). Once a month during 1 year, I searched recently posted messages (‘tweets’) for the common names of every listed species. The polar bear (Ursus maritimus) was by far the most tweeted species. The other most tweeted mammals were the American bison (Bison bison), brown bear (U. arctos), cougar (Puma concolor), killer whale (Orcinus orca), black bear (U. americanus) and West Indian manatee (Trichechus manatus), respectively. The three most frequently tweeted birds were the sandhill crane (Grus canadensis), whooping crane (G. americana) and spotted owl (Strix occidentalis). Some species, such as the manatee, right whale (Eubalaena glacialis), and gray wolf (Canis lupus) ranked higher when restricting the search to conservation contexts. The results suggest that Twitter users interact about a biased sample of ESA-listed species: mammals were better represented than birds among the most tweeted species and larger-sized species received more tweets. The findings can be used for prioritizing conservation education and marketing campaigns aiming to raise the profile of lesser-known listed species. Data from online social networks open the door for a range of novel applications in conservation science.

Keywords

Endangered Species Act Microblogs Online networking services Public attention Species at risk Twitter 

Notes

Acknowledgments

I thank Adam Felton, Navinder J. Singh, Andrew Allen and two anonymous reviewers for insightful comments on the manuscript.

Supplementary material

10531_2014_629_MOESM1_ESM.docx (31 kb)
Supplementary material 1 (DOCX 30 kb)

References

  1. Ballouard J-M, Brischoux F, Bonnet X (2011) Children prioritize virtual exotic biodiversity over local biodiversity. PLoS ONE 6(8):e23152PubMedCentralPubMedCrossRefGoogle Scholar
  2. Barua M, Root-Bernstein M, Ladle RJ, Jepson P (2011) Defining flagship uses is critical for flagship selection: a critique of the IUCN climate change flagship fleet. Ambio 40:431–435PubMedCentralPubMedCrossRefGoogle Scholar
  3. Beevolve (2012) An exhaustive study of Twitter users across the world. Beevolve Technologies, London. http://www.beevolve.com/twitter-statistics/. Accessed 15 Oct 2012
  4. Bik HM, Goldstein MC (2013) An introduction to social media for scientists. PLoS Biol 11(4):e1001535PubMedCentralPubMedCrossRefGoogle Scholar
  5. Caro T (2010) Conservation by proxy: indicator, umbrella, keystone, flagship and other surrogate species. Island Press, Washington, DCGoogle Scholar
  6. Chew C, Eysenbach G (2010) Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE 5:e14118PubMedCentralPubMedCrossRefGoogle Scholar
  7. Clark JA, May RM (2002) Taxonomic bias in conservation research. Science 297:191–202PubMedCrossRefGoogle Scholar
  8. Clucas B, McHugh K, Caro T (2008) Flagship species on covers of US conservation and nature magazines. Biodivers Conserv 17:1517–1528CrossRefGoogle Scholar
  9. Czech B, Krausman PR, Borkhataria R (1998) Social construction, political power, and the allocation of benefits to endangered species. Conserv Biol 12:1103–1112CrossRefGoogle Scholar
  10. Eysenbach G (2002) Infodemiology: the epidemiology of (mis)information. Am J Med 113:763–765PubMedCrossRefGoogle Scholar
  11. Gavin MC, Solomon JN, Blank SG (2010) Measuring and monitoring illegal use of natural resources. Conserv Biol 24:89–100PubMedCrossRefGoogle Scholar
  12. Golbeck J, Grimes JM, Rogers A (2010) Twitter use by the US congress. J Am Soc Inf Sci Technol 61:1612–1621Google Scholar
  13. Gonçalves B, Perra N, Vespignani A (2011) Modeling user’s activity on Twitter networks: validation of Dunbar’s number. PLoS ONE 6(8):e22656PubMedCentralPubMedCrossRefGoogle Scholar
  14. Heberlein TA (2012) Navigating environmental attitudes. Conserv Biol 26:583–585PubMedCrossRefGoogle Scholar
  15. Kalland A (1993) Management by totemization: whale symbolism and the anti-whaling campaign. Arctic 46:124–133Google Scholar
  16. Kareiva P, Marvier M (2012) What is conservation science? Bioscience 62:962–969CrossRefGoogle Scholar
  17. Kellert SR (1985) Social and perceptual factors in endangered species management. J Wildlife Manag 49:528–536CrossRefGoogle Scholar
  18. Kellert SR (1996) The value of life: biological diversity and human society. Island Press, Washington, DCGoogle Scholar
  19. Knegtering E, Hendrickx L, van der Windt HJ, Schoot Uiterkamp AJM (2002) Effect of species’ characteristics on nongovernmental organizations’ attitudes toward species conservation policy. Environ Behav 34:378–400CrossRefGoogle Scholar
  20. Lislevand T, Figuerola J, Székely T (2007) Avian body sizes in relation to fecundity, mating system, display behavior, and resource sharing. Ecology 88:1605CrossRefGoogle Scholar
  21. McCallum ML, Bury GW (2013) Google search patterns suggest declining interest in the environment. Biodivers Conserv 22:1355–1367CrossRefGoogle Scholar
  22. McNeil K, Brna PM, Gordon KE (2012) Epilepsy in the Twitter era: a need to re-tweet the way we think about seizures. Epilepsy Behav 23:127–130PubMedCrossRefGoogle Scholar
  23. Metrick A, Weitzman ML (1996) Patterns of behavior in endangered species preservation. Land Econ 72:1–16CrossRefGoogle Scholar
  24. R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
  25. Richardson L, Loomis J (2009) The total economic value of threatened, endangered and rare species: an updated meta-analysis. Ecol Econ 68:1535–1548CrossRefGoogle Scholar
  26. Rodrigues ASL, Pilgrim JD, Lamoreux JF, Hoffmann M, Brooks TM (2006) The value of the IUCN Red List for conservation. Trends Ecol Evol 21:71–76PubMedCrossRefGoogle Scholar
  27. Scanfeld D, Scanfeld V, Larson EL (2010) Dissemination of health information through social networks: Twitter and antibiotics. Am J Infect Control 38:182–188PubMedCentralPubMedCrossRefGoogle Scholar
  28. Signorini A, Segre AM, Polgreen PM (2011) The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic. PLoS ONE 6(5):e19467PubMedCentralPubMedCrossRefGoogle Scholar
  29. Smith FA, Lyons SK, Ernest SKM, Jones KE, Kauffman DM, Dayan T, Marquet PA, Brown JH, Haskell JP (2003) Body mass of late Quaternary mammals. Ecology 84:3403CrossRefGoogle Scholar
  30. Smith RJ, Veríssimo D, MacMillan DC (2010) Marketing and conservation: how to lose friends and influence people. In: Leader-Williams N, Adams W, Smith RJ (eds) Trade-offs in conservation: deciding what to save. Blackwell, OxfordGoogle Scholar
  31. Smith RJ, Veríssimo D, Isaac NJB, Jones KE (2012) Identifying Cinderella species: uncovering mammals with conservation flagship appeal. Conserv Lett 5:205–212CrossRefGoogle Scholar
  32. Stokes DL (2007) Things we like: human preferences among similar organisms and implications for conservation. Hum Ecol 25:361–369CrossRefGoogle Scholar
  33. Twitter (2012a) Twitter turns six. Twitter, San Francisco. http://blog.twitter.com/2012/03/twitter-turns-six.html. Accessed 15 Oct 2012
  34. Twitter (2012b) Twitter help center. Twitter, San Francisco. https://support.twitter.com/. Accessed 15 July 2012
  35. Veríssimo D, MacMillan DC, Smith RJ (2011) Toward a systematic approach for identifying conservation flagships. Conserv Lett 4:1–8CrossRefGoogle Scholar
  36. Veríssimo D, MacMillan DC, Smith RJ, Barua M, Jepson P (2012) Selecting marine invertebrate flagship species: widening the net. Biol Conserv 145:4CrossRefGoogle Scholar
  37. Viralblog (2012) Twitter facts and figures. SocialMedia8, Amsterdam. http://www.viralblog.com/research-cases/twitter-facts-figures/. Accessed 23 Nov 2012
  38. Walpole MJ, Leader-Williams N (2002) Tourism and flagship species in conservation. Biodivers Conserv 11:543–547CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of Wildlife, Fish and Environmental StudiesSwedish University of Agricultural Sciences (SLU)UmeåSweden

Personalised recommendations