Word Diffusion and Climate Science

PLoS ONE

Volumn 7, Issue 11, 2012, Pages

  Bentley, R Alexander ^a   Garnett, Philip ^b   O'Brien, Michael J ^c   Brock, William A ^c,d  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b DURHAM UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF MISSOURI   (United States)

^d UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLIMATE CHANGE; INFORMATION DISSEMINATION; LANGUAGE; LINGUISTICS; POLITICS; PUBLIC OPINION; SOCIAL LEARNING; SOCIAL MEDIA;

ALGORITHMS; CLIMATE CHANGE; HUMANS; METEOROLOGY; MODELS, BIOLOGICAL; SEARCH ENGINE; SOCIAL BEHAVIOR; TERMINOLOGY AS TOPIC;

EID: 84868709161     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0047966     Document Type: Article

References (41)

1. Oreskes N, (2004) The scientific consensus on climate change. Science 306: 1686.
2. National Academy of Sciences Committee on the Science of Climate Change (2001) Climate Change Science: An Analysis of Some Key Questions. Washington DC: National Academies Press.
3. Chameides B (2010) Screwups in climate science. www.nicholas.duke.edu/thegreengrok/screwups.
4. National Science Board (2008) Science and Engineering Indicators 2008. Arlington VA: National Science Foundation.
5. Lorenzoni I, Leiserowitz A, De Franca Doria M, Poortinga W, Pidgeon NF, (2006) Cross-national comparisons of image associations with "global warming" and "climate change" among laypeople in the United States of America and Great Britain. Journal of Risk Research 9: 265-281.
6. Maibach EW, Roser-Renouf C, Leiserowitz A, (2008) Communication and marketing as climate change-intervention assets: A public health perspective. American Journal of Preventive Medicine 35: 488-500.
7. Moser SC, Dilling L (2007) Creating a Climate for Change: Communicating Climate Change and Facilitating Social Change. New York: Cambridge University Press.
8. Nerlich B, Koteyko N, Brown B, (2010) Theory and language of climate change communication. Wiley Interdisciplinary Reviews: Climate Change 1: 97-110.
9. Hassol SJ, (2008) How scientists communicate about climate change. Eos 89: 106-107.
10. Carvalho A, Burgess J, (2005) Cultural circuits of climate change in U.K. broadsheet newspapers 1985-2003. Risk Analysis 25: 1457-1469.
11. Thaler RH, Sunstein CR (2008) Nudge: Improving Decisions about Health, Wealth and Happiness. New Haven CT: Yale University Press.
12. Orwell G (1946) Politics and the English language. In The Penguin Essays of George Orwell,. 348-360. London: Penguin.
13. Bénabou R, Ok EA, (2001) Social mobility and the demand for redistribution: The POUM hypothesis. Quarterly Journal of Economics 116: 447-486.
14. Marquardt D, (1963) An algorithm for least-squares estimation of nonlinear parameters. SIAM Journal on Applied Mathematics 11: 431-441.
15. Michel J-P, Shen YK, Aiden AP, Veres A, Gray MK, et al. (2011) Quantitative analysis of culture using millions of digitized books. Science 331: 176-182.
16. Altmann EG, Pierrehumbert JB, Motter AE, (2011) Niche as a determinant of word fate in online groups. PLoS ONE 6(5): e19009.
17. Bentley RA, (2008) Random drift versus selection in academic vocabulary. PLoS ONE 3(8): e3057.
18. Bentley RA, Ormerod P, (2010) A rapid method for assessing social versus independent interest in health issues. Social Science and Medicine 71: 482-485.
19. Berger J, Le Mens G, (2009) How adoption speed affects the abandonment of cultural tastes. Proceedings of the National Academy of Sciences USA 106: 8146-8150.
20. Brock WA, Durlauf SN, (2010) Adoption curves and social interactions. Journal of the European Economic Association 8: 232-251.
21. Hahn MW, Bentley RA, (2003) Drift as a mechanism for cultural change: An example from baby names. Proceedings of the Royal Society B 270: S1-S4.
22. Lieberman E, Michel J-P, Jackson J, Tang T, Nowak MA, (2007) Quantifying the evolutionary dynamics of language. Nature 449: 713-716.
23. Pagel M, Atkinson QD, Meade A, (2007) Frequency of word-use predicts rates of lexical evolution throughout Indo-European history. Nature 449: 717-720.
24. Li J, Wang M-H, Ho Y-S, (2011) Trends in research on global climate change: A Science Citation Index Expanded-based analysis. Global and Planetary Change 77: 13-20.
25. Brock WA, Durlauf SN (1999) A formal model of theory choice in science. Economic Theory 14 113-130.
26. Brock WA, Durlauf SN (2001) Interactions-based models. In Heckman JJ, Leamer E, eds. Handbook of Econometrics. Amsterdam: Elsevier Science. 3297-3380.
27. Franz M, Nunn CL, (2009) Network-based diffusion analysis: A new method for detecting social learning. Proceedings of the Royal Society B 276: 1829-1836.
28. Henrich J, (2001) Cultural transmission and the diffusion of innovations. American Anthropologist 103: 992-1013.
29. Hoppitt W, Kandler A, Kendal JR, Laland KN, (2010) The effect of task structure on diffusion dynamics: Implications for diffusion curve and network-based analyses. Learning and Behavior 38: 243-251.
30. Bass FM, (1969) A new product growth model for consumer durables. Management Science 15: 215-227.
31. Schmittlein DC, Mahajan V, (1982) Maximum likelihood estimation for an innovation diffusion model of new product acceptance. Marketing Science 1: 57-78.
32. Petersen AM, Tenenbaum J, Havlin S, Stanley HE, (2012) Statistical laws governing uctuations in word use from word birth to word death. Scientific Reports 2: 313.
33. Onnela J-P, Reed-Tsochas F, (2010) Spontaneous emergence of social inuence in online systems. Proceedings of the National Academy of Sciences USA 107: 18375-18380.
34. Aral S, Walker D (2012) Identifying inuential and susceptible members of social networks. Science, in press (dpi: 10.1126/science.1215842).
35. Bentley RA, Earls M, Obrien MJ (2011) I'll Have What She's Having: Mapping Social Behavior. Cambridge, MA: MIT Press.
36. Kolbert E, (2008) The island in the wind: A Danish community's victory over carbon emissions. New Yorker (July 7): 68-77.
37. Christakis NA, Fowler JH, (2007) The spread of obesity in a large social network over 32 years. New England Journal of Medicine 357: 370-379.
38. Henrich J, Broesch J, (2011) On the nature of cultural transmission networks: Evidence from Fijian villages for adaptive learning biases. Philosophical Transactions of the Royal Society B 366: 1139-1148.
39. Bentley RA, Ormerod P, (2009) Traditional models already explain adoption/abandonment pattern. Proceedings of the National Academy of Sciences USA 106: E109.
40. DuMouchel WH, O'Brien FL (1989) Integrating a robust option into a multiple regression computing environment. Computer Science and Statistics: Proceedings of the 21st Symposium on the Interface. Alexandria, VA: American Statistical Association.
41. The MathWorks, Inc. (2012) http://www.mathworks.co.uk/help/toolbox/stats/nlinfit.html.