Scientific polarization

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Angere, S. (2010). Knowledge in a social network. Synthese, 167–203.

Axelrod, R. (1997). The dissemination of culture: a model with local convergence and global polarization. Journal of Conflict Resolution, 41(2), 203–226.

Bala, V., & Goyal, S. (1998). Learning from neighbors. Review of Economic Studies, 65(3), 595–621.

Baldassarri, D., & Bearman, P. (2007). Dynamics of political polarization. American Sociological Review, 72(5), 784–811.

Barrett, J.A., Mohseni, A., Skyrms, B. (2017). Self assembling networks. The British Journal for the Philosophy of Science, (forthcoming).

Benoît, J.-P., & Dubra, J. (2014). A theory of rational attitude polarization.

Bramson, A., Grim, P., Singer, D.J., Berger, W.J., Sack, G., Fisher, S., Flocken, C., Holman, B. (2017). Understanding polarization: meanings, measures, and model evaluation. Philosophy of Science, 84(1), 115–159.

Burgdorfer, W., Barbour, A.G., Hayes, S.F., Benach, J.L., Grunwaldt, E., Davis, J.P. (1982). Lyme disease-a tick-borne spirochetosis? Science, 216(4552), 1317–1319.

Cook, J., & Lewandowsky, S. (2016). Rational irrationality: Modeling climate change belief polarization using Bayesian networks. Topics in Cognitive Science, 8(1), 160–179.

Deffuant, G. (2006). Comparing extremism propagation patterns in continuous opinion models. Journal of Artificial Societies and Social Simulation, 9(3).

Deffuant, G., Amblard, F., Weisbuch, G., Faure, T. (2002). How can extremism prevail? A study based on the relative agreement interaction model. Journal of Artificial Societies and Social Simulation 5(4).

Dixit, A.K., & Weibull, J.W. (2007). Political polarization. Proceedings of the National Academy of Sciences, 104(18), 7351–7356.

Embers, M.E., Barthold, S.W., Borda, J.T., Bowers, L., Doyle, L., Hodzic, E., Jacobs, M.B., Hasenkampf, N.R., Martin, D.S., Narasimhan, S., et al. (2012). Persistence of Borrelia burgdorferi in rhesus macaques following antibiotic treatment of disseminated infection. PloS One, 7(1), e29914.

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Galam, S. (2010). Public debates driven by incomplete scientific data: the cases of evolution theory, global warming and H1N1 pandemic influenza. Physica A: Statistical Mechanics and its Applications, 389(17), 3619–3631.

Galam, S. (2011). Collective beliefs versus individual inflexibility: The unavoidable biases of a public debate. Physica A: Statistical Mechanics and its Applications, 390(17), 3036–3054.

Galam, S., & Moscovici, S. (1991). Towards a theory of collective phenomena: consensus and attitude changes in groups. European Journal of Social Psychology, 21 (1), 49–74.

Hegselmann, R., Krause, U., et al. (2002). Opinion dynamics and bounded confidence models, analysis, and simulation. Journal of Artificial Societies and Social Simulation, 5(3).

Hegselmann, R., Krause, U., et al. (2006). Truth and cognitive division of labor: First steps towards a computer aided social epistemology. Journal of Artificial Societies and Social Simulation, 9(3), 10.

Holman, B., & Bruner, J.P. (2015). The problem of intransigently biased agents. Philosophy of Science, 82(5), 956–968.

Jeffrey, R.C. (1990). The logic of decision. 2nd edn.

Jern, A., Chang, K.-M.K., Kemp, C. (2014). Belief polarization is not always irrational. Psychological Review, 121(2), 206.

Kitcher, P. (1990). The division of cognitive labor. The Journal of Philosophy, 87(1), 5–22.

Klempner, M.S., Linden, T.H., Evans, J., Schmid, C.H., Johnson, G.M., Trevino, R.P., Norton, D., Levy, L., Wall, D., McCall, J., et al. (2001). Two controlled trials of antibiotic treatment in patients with persistent symptoms and a history of Lyme disease. New England Journal of Medicine, 345(2), 85–92.

Kummerfeld, E., & Zollman, K.J.S. (2015). Conservatism and the scientific state of nature. The British Journal for the Philosophy of Science, 67(4), 1057–1076.

Kurz, S., & Rambau, J. (2011). On the Hegselmann–Krause conjecture in opinion dynamics. Journal of Difference Equations and Applications, 17(6), 859–876.

La Rocca, C.E., Braunstein, L.A., Vazquez, F. (2014). The influence of persuasion in opinion formation and polarization. EPL (Europhysics Letters), 106(4), 40004.

Liu, Q., Zhao, J., Wang, L., Wang, X. (2014). A Multi-Agent model of opinion formation with truth seeking and endogenous leaders. IFAC Proceedings Volumes, 47(3), 11709–11714.

Lord, C.G., Ross, L., Lepper, M.R. (1979). Biased assimilation and attitude polarization: the effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37(11), 2098.

Macy, M.W., Kitts, J.A., Flache, A., Benard, S. (2003). Polarization in dynamic networks: a Hopfield model of emergent structure. In R. Brieger, K. Carley, P. Pattison (Eds.) Dynamic social network modeling and analysis (pp. 162–173). Washington, DC: National Academic Press.

Mäs, M., & Flache, A. (2013). Differentiation without distancing. Explaining bi-polarization of opinions without negative influence. PloS One, 8(11), e74516.

Mayo-Wilson, C., Zollman, K.J.S., Danks, D. (2011). The independence thesis: when individual and social epistemology diverge. Philosophy of Science, 78(4), 653–677.

McCright, A.M., & Dunlap, R.E. (2011). The politicization of climate change and polarization in the American public’s views of global warming, 2001–2010. The Sociological Quarterly, 52(2), 155–194.

Nowak, A., Szamrej, J., Latané, B. (1990). From private attitude to public opinion: a dynamic theory of social impact. Psychological Review, 97(3), 362.

O’Connor, C., & Weatherall, J.O. (2017). Do as I say, Not as I do, or, Conformity in scientific networks. https://arxiv.org/abs/1803.09905 .

O’Connor, C., & Weatherall, J.O. (2018). The misinformation age: how false beliefs spread. New Haven: Yale University Press. In press.

Olsson, E.J. (2013). A Bayesian simulation model of group deliberation and polarization. Bayesian argumentation. Springer, 113–133.

Oreskes, N. (2004). The scientific consensus on climate change. Science, 306(5702), 1686–1686.

Oreskes, N., & Conway, E. (2010). Merchants of doubt. New York: Bloomsbury Press.

Rosenstock, S., Bruner, J., O’Connor, C. (2017). In epistemic networks, is less really more? Philosophy of Science, 84(2), 234–252.

Singer, D.J., Bramson, A., Grim, P., Holman, B., Jung, J., Kovaka, K., Ranginani, A., Berger, W. (2017). Rational social and political polarization.

Steere, A.C., Coburn, J., Glickstein, L. (2004). The emergence of Lyme disease. Journal of Clinical Investigation, 113(8), 1093.

Steere, A.C., Malawista, S.E., Snydman, D.R., Shope, R.E., Andiman, W.A., Ross, M.R., Steele, F.M. (1977). An epidemic of oligoarticular arthritis in children and adults in three Connecticut communities. Arthritis & Rheumatology, 20 (1), 7–17.

Steere, A.C., Taylor, E., McHugh, G.L., Logigian, E.L. (1993). The overdiagnosis of Lyme disease. Jama, 269(14), 1812–1816.

Straubinger, R.K., Straubinger, A.F., Summers, B.A., Jacobson, R.H. (2000). Status of Borrelia burgdorferi infection after antibiotic treatment and the effects of corticosteroids: an experimental study. The Journal of Infectious Diseases, 181(3), 1069–1081.

Strevens, M. (2003). The role of the priority rule in science. The Journal of Philosophy, 100(2), 55–79.

Weatherall, J.O., O’Connor, C., Bruner, J. (2018). How to Beat Science and Influence People. The British Journal for the Philosophy of Science. https://arxiv.org/abs/1801.01239 .

Zollman, K.J.S. (2007). The communication structure of epistemic communities. Philosophy of Science, 74(5), 574–587.

Zollman, K.J.S. (2010). The epistemic benefit of transient diversity. Erkenntnis, 72(1), 17.

Zollman, K.J.S. (2013). Network epistemology: communication in epistemic communities. Philosophy Compass, 8(1), 15–27.