The cultural environment: Measuring culture with big data

Theory and Society

Volumn 43, Issue 3, 2014, Pages 465-482

  Bail, Christopher A ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Content analysis; Culture; Evolutionary theory; Mixed methods

Indexed keywords

EID: 85027921084     PISSN: 03042421     EISSN: 15737853     Source Type: Journal    
DOI: 10.1007/s11186-014-9216-5     Document Type: Article

References (104)

1. Abbott, A. (1995). Things of boundaries. Social Science Research, 62(4), 857-882.
2. Abbott, A. (1997). On the concept of turning point. Comparative Social Research, 16, 85-106.
3. Abbott, A. (2001). Chaos of disciplines. Chicago: University of Chicago Press.
4. Agnew, J., Gillespie, T., Gonzalez, J., & Min, B. (2008). Baghdad nights: Evaluating the US military “surge” using nighttime light signatures.
5. Alexander, J. (2006). The civil sphere. Oxford: Oxford University Press.
6. Alexander, J., & Smith, P. (2001). The strong program in cultural theory: Elements of a structural hermeneutics. In J. H. Turner (Ed.), Handbook of sociological theory (pp. 135-150). New York: Springer.
7. Armstrong, E. A. (2002). Forging gay identities: Organizing sexuality in San Francisco, 1950-1994. Chicago: University of Chicago Press.
8. Bail, C. (2012). The fringe effect: civil society organizations and the evolution of media discourse about Islam, 2001-2008. American Sociological Review, 77(7), 855-879.
9. Bail, C. (2013a). Winning minds through hearts: Organ donation advocacy, emotional feedback, and social media. Working Paper, Department of Sociology, University of North Carolina at Chapel Hill.
10. Bail, C. (2013b). Taming big data: Apps and the future of survey research. Working Paper, Department of Sociology, University of North Carolina, Chapel Hill.
11. Bail, C.A. (forthcoming). Terrified: How anti-muslim organizations became mainstream. Princeton University Press, Princeton, NJ.
12. Barth, F. (1969). Ethnic groups and boundaries: The social organization of cultural difference. Boston: Little, Brown.
13. Bartley, T. (2007). How foundations shape social movements: the construction of an organizational field and the rise of forest certification. Social Problems, 54(3), 229-255.
14. Baumer, E. P. S., Polletta, F., Pierski, N., Celaya, C., Rosenblatt, K., & Gay, G. K. (2013, February). Developing computational supports for frame reflection. Retrieved from http://hdl.handle.net/2142/ 38374.
15. Bearman, P., & Stovel, K. (2000). Becoming a Nazi: a model for narrative networks. Poetics, 27(2), 69-90.
16. Bearman, P., Faris, R., & Moody, J. (1999). Blocking the future: new solutions for old problems in historical social science. Social Science History, 23(4), 501-533.
17. Benford, R., & Snow, D. (2003, November 28). Framing processes and social movements: An overview and assessment. Review-article.
18. Biernacki, R. (2012). Reinventing evidence in social inquiry: Decoding facts and variables. New York: Palgrave Macmillan.
19. Blei, D. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.
20. Blei, D., & Lafferty, J. (2006). International Conference on Machine Learning, ACM, New York, New York, 113-120.
21. Blei, D., & Lafferty, J. (2007). A correlated topic model of science. The Annals of Applied Statistics, 1(1), 17-35.
22. Blei, D., & McAuliffe, J. (2010). Supervised topic models. arXiv:1003.0783. Retrieved from http://arxiv.org/ abs/1003.0783.
23. Blei, D., Ng, A., & Jordan, M. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
24. Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1-8. doi:10.1016/j.jocs.2010.12.007.
25. Bourdieu, P. (1975). The specificity of the scientific field and the social conditions of the progres of reason. Social Science Information, 14(6), 1-19.
26. Bourdieu, P. (1985). The social space and the genesis of groups. Theory and Society, 14(6), 723-744. doi:10. 1007/BF00174048.
27. Bourdieu, P. (1990). Homo Academicus (1st ed.). Stanford: Stanford University Press.
28. Cerulo, K. A. (1998). Deciphering violence: The cognitive structure of right and wrong (1st ed.). New York: Routledge.
29. Chang, J., Boyd-graber, J., Gerrish, S., Wang, C., & Blei, D. M. (2009). Reading tea leaves: How humans interpret topic models.
30. Collins, R. (2013). Solving the Mona Lisa smile, and other developments in visual micro-sociology. Working Paper, Department of Sociology, University of Pennsylvania.
31. D’Andrade, R. G. (1995). The development of cognitive anthropology. Cambridge: Cambridge University Press.
32. DiMaggio, P. (1997). Culture and cognition. Annual Review of Sociology, 23, 263-287.
33. DiMaggio, P., & Bonikowski, B. (2008). Make money surfing the web? The impact of internet use on the earnings of U.S. workers. American Sociological Review, 73(2), 227-250. doi:10.1177/ 000312240807300203.
34. Dimaggio, P., Hargittai, E., Neuman, W. R., & Robinson, J. (2001). Social implications of the internet. Annual Review of Sociology, 27, 307-336.
35. Dimaggio, P., Nag, M., & Blei, D. (forthcoming). Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of government arts funding in the U.S. Poetics, Page numbers unknown.
36. Douglas, M. (1966). Purity and danger: An analysis of concepts of pollution and taboo. New York: Praeger.
37. Douglas, M. (1986). How institutions think. Syracuse: Syracuse University Press.
38. Eliasoph, N., & Lichterman, P. (2003). Culture in interaction. American Journal of Sociology, 108(4), 735-794.
39. Espeland, W. N., & Stevens, M. L. (1998). Commensuration as a social process. Annual Review of Sociology, 24, 313-343. doi:10.2307/223484.
40. Evans, R., & Kay, T. (2008). How environmentalists “Greened” trade policy: strategic action and the architecture of field overlap. American Sociological Review, 73(6), 970-991. doi:10.1177/ 000312240807300605.
41. Eyal, G. (2009). The space between fields. Working Paper, Center for Comparative Research, Yale University.
42. Fligstein, N., & McAdam, D. (2011). Toward a general theory of strategic action fields. Sociological Theory, 29(1), 1-26.
43. Foucault, M. (1970). The order of things: An archaeology of the human sciences (1st ed.). New York: Vintage.
44. Franzosi, R. (2004). From words to numbers: Narrative, data, and social science. Cambridge: Cambridge University Press.
45. Franzosi, R. (2009). Quantitative narrative analysis (1st ed.). Thousand Oaks: SAGE Publications, Inc.
46. Gaby, S., & Caren, N. (2012). Occupy online: how cute old men and Malcolm X Recruited 400,000 U.S. users to OWS on Facebook. Social Movement Studies, 11, 367-374.
47. Geertz, C. (1973). The interpretation of cultures: Selected essays. New York: Basic Books.
48. Ghaziani, A. (2009). An “amorphous mist”? The problem of measurement in the study of culture. Theory and Society, 38(6), 581-612. doi:10.1007/s11186-009-9096-2.
49. Ghaziani, A., & Baldassarri, D. (2011). Cultural anchors and the organization of differences. American Sociological Review, 76(2), 179-206. doi:10.1177/0003122411401252.
50. Gieryn, T. F. (1999). Cultural boundaries of science: Credibility on the line (1st ed.). Chicago: University of Chicago Press.
51. Goffman, E. (1963). Stigma: Notes on the management of spoiled identity. New York: Touchstone.
52. Goffman, E. (1974). Frame analysis. Cambridge: Harvard University Press.
53. Gold, M. K. (2012). Debates in the digital humanities. Minneapolis: U of Minnesota Press.
54. Golder, S. A., & Macy, M.W. (2011). Diurnal and seasonal mood vary with work, sleep, and day length across diverse cultures. Science, 333(6051), 1878-1881. doi:10.1126/science.1202775.
55. Gong, A. (2011). An automated snowball census of the political web. SSRN eLibrary. Retrieved from http:// papers.ssrn.com/sol3/papers.cfm?abstract_id=1832024.
56. Grimmer, J. (2010). A Bayesian hierchical topic model for political texts: measuring expressed agendas in senate press releases. Political Analysis, 18(1), 1-35.
57. Grimmer, J., & King, G. (2011). General purpose computer-assisted clustering and conceptualization. Proceedings of the National Academy of Sciences, 108(7), 2643-2650. doi:10.1073/pnas. 1018067108.
58. Griswold, W., & Wright, N. (2004). Wired andwell read. In Society online: The internet in context. New York: Sage.
59. Hopkins, D. (2013). The exaggerated life of death panels: The limits of framing effects in the 2009-2012 health care debate. Working Paper, SSRN.
60. Hopkins, D. J., & King, G. (2010). A method of automated nonparametric content analysis for social science. American Journal of Political Science, 54(1), 229-247. doi:10.1111/j.1540-5907.2009.00428.x.
61. Ignatow, G., & Mihalcea, R. (2013). Text mining for comparative cultural analysis. Working Paper, Department of Sociology, University of North Texas.
62. Johnson-Hanks, J., Bachrach, C., Morgan, P., & Kohler, H.-P. (2011). Understanding family change and variation: toward a theory of conjuctural action. Understanding Population Trends and Processes, 5, 1-179.
63. Kaufman, J. (2004). Endogenous explanation in the sociology of culture. Annual Review of Sociology, 30, 335-357.
64. King, G. (2011). Ensuring the data rich future of the social sciences. Science, 331(11 February), 719-721.
65. Krippendorff, K. H. (2003). Content analysis: An introduction to its methodology (2nd ed.). Thousand Oaks: Sage Publications, Inc.
66. Lamont, M. (1992). Money, morals, and manners: The culture of the French and American upper-middle class. Chicago: University of Chicago Press.
67. Lamont, M. (2000). The dignity of working men:Morality and the boundaries of race, class, and immigration. New York: Russell Sage.
68. Lamont, M. (2012). Toward a comparative sociology of valuation and evaluation. Annual Review of Sociology, 38, 201-221.
69. Lamont, M., & White, P. (2009). The evaluation of systematic qualitative research in the social sciences. Report of the U.S. National Science Foundation.
70. Lan, T., & Raptis, M. (2013). From subcategories to visual composites: A multi-level framework for object recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
71. Latour, B. (1988). How to follow scientists and engineers through society. Cambridge: Harvard University Press.
72. Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabasi, A.-L., Brewer, D., et al. (2009). SOCIAL SCIENCE: computational social science. Science, 323(5915), 721-723. doi:10.1126/science. 1167742.
73. Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008). Tastes, ties, and time: a new social network dataset using Facebook.com. Social Networks, 30(4), 330-342. doi:10.1016/j.socnet.2008. 07.002.
74. Lieberson, S. (2000). A matter of taste: How names, fashions, and culture change. New Haven: Yale University Press.
75. Livne, A., Simmons, M. P., Adar, E., & Adamic, L. (2011). The party is over here: Structure and content in the 2010 election. Proceedings of the Fifth Intenrational AAAI Conference on Weblogs and Social Media, 201-209.
76. Loveman, M., & Muniz, J. (2007). How Puerto Rico became white: boundary dynamics and inter-census racial classification. American Sociological Review, 72, 915-939.
77. Manning, C. D., & Schuetze, H. (1999). Foundations of statistical natural language processing (1st ed.). Cambridge: The MIT Press.
78. Mark, N. P. (2003). Culture and competition: homophily and distancing explanations for cultural niches. American Sociological Review, 68(3), 319-345. doi:10.2307/1519727.
79. Martin, J. L. (2003). What is field theory? American Journal of Sociology, 109(1), 1-49.
80. Medvetz, T. (2012). The rise of think tanks in America: Merchants of policy and power. Chicago: University of Chicago.
81. Merton, R. (1949). Social theory and social structure. New York: The Free Press.
82. Mische, A. (2008). Partisan publics: Communication and contention across Brazilian youth activist networks. Princeton: Princeton University Press.
83. Mohr, J. (1998). Measuring meaning structures. Annual Review of Sociology, 24, 345-370.
84. Mohr, J., & Guerra-Pearson, F. (2010). The duality of niche and form: The differentiation of institutional space in New York City, 1888-1917. In Categories in markets: Origins and evolution (pp. 321-368). New York: Emerald Group Publishing.
85. Mohr, J., Singh, A., & Wagner-Pacifici, R. (2013). CulMINR: Cultural meanings from the interpretation of narrative and rhetoric: A dynamic network approach to hermeneutic mining of large text corpora. Working Paper, Department of Sociology, University of California, Santa Barbara.
86. Mohr, J., Wagner-Pacifici, R., Breiger, R., Bogdanov, P. (2014). Graphing the grammar of motives in National Security Strategies: cultural interpretation, automated text analysis, and the drama of global politics. Poetics, 41(6), 670-700.
87. Moretti, F. (2013). Distant reading. London: VERSO BOOKS.
88. Pachucki, M. A., & Breiger, R. L. (2010). Cultural holes: beyond relationality in social networks and culture. Annual Review of Sociology, 36(1), 205-224. doi:10.1146/annurev.soc.012809.102615.
89. Padgett, J. F., & Powell, W. W. (2012). The emergence of organizations and markets. Princeton: Princeton University Press.
90. Paul, M. J., & Dredze, M. (2011). You are what you tweet: Analyzing Twitter for public health. Fifth International Conference on Weblogs.
91. Quinn, K. M., Monroe, B. L., Colaresi, M., Crespin, M. H., & Radev, D. R. (2010). How to analyze political attention with minimal assumptions and costs. American Journal of Political Science, 54(1), 209-228. doi:10.1111/j.1540-5907.2009.00427.x.
92. Scheufele, D. A. (1999). Framing as a theory of media effects. The Journal of Communication, 49(1), 103-122. doi:10.1111/j.1460-2466.1999.tb02784.x.
93. Sewell, W. (1996). Historical events as transformations of structures: inventing revolution at the Bastille. Theory and Society, 25(6), 841-881. doi:10.1007/BF00159818.
94. Smith, T. (2007). Narrative boundaries and the dynamics of ethnic conflict and conciliation. Poetics, 35, 22-46.
95. Swidler, A. (1986). Culture in action: symbols and strategies. American Sociological Review, 51(2), 273-286.
96. Swidler, A. (1995). Cultural power and social movements. In Social movements and culture. London: Routledge.
97. Tangherlini, T. R., & Leonard, P. (2013). Trawling in the Sea of the Great Unread: sub-corpus topic modeling and Humanities research. Poetics. doi:10.1016/j.poetic.2013.08.002.
98. Tavory, I., & Timmermans, S. (2013). Consequences in Action: A pragmatist approach to causality in ethnography. Working Paper, New School for Social Research.
99. Vaisey, S., & Lizardo, O. (2010). Can cultural worldviews influence network composition? Social Forces, 88(4), 1595-1618. doi:10.1353/sof.2010.0009.
100. Wagner-Pacifici, R. (2010). Theorizing the restlessness of events. American Journal of Sociology, 115(5), 1351-1386.
101. Wallach, H. (2006). Topic modeling: Beyond bag of words. Proceedings of the 23rd International Conference on Machine Learnings.
102. Weber, K. (2005). A toolkit for analyzing corporate cultural toolkits. Poetics, 33(3-4), 227-252. doi:10.1016/j. poetic.2005.09.011.
103. Wuthnow, R. (1993). Communities of discourse: Ideology and social structure in the reformation, the enlightenment, and European socialism. Cambridge: Harvard University Press.
104. Zelizer, V. A. R. (1985). Pricing the priceless child: The changing social value of children. Princeton: Princeton University Press.