Sociology and politics of information

Epistemic democracy, cognitive democracy, the great society



What institutions can harness the wisdom of crowds and which are slave to memes madness?

I am curious to read about the models used for this.

Allen, Farrell, and Shalizi (2017);Farrell and Shalizi (n.d.b);Acemoglu, Chernozhukov, and Yildiz (2006);Acemoglu and Ozdaglar (2011)

Epistemic communities

Hmm.

See maybe science as community or renewing journalism.

Cognitive democracy

TBD. Maybe rinse Farrell’s Cognitive Democracy for links.

Effective Institutions Project

The Effective Institutions Project is a new global working group dedicated to building a cross-disciplinary community of interest around the challenge of improving institutional decision-making (IIDM). We aim to increase the technical quality and altruistic intent of important decisions made by powerful institutions. We leverage the accumulated wisdom of researchers and practitioners across many fields in order to identify opportunities to make change that are likely to have the greatest positive impact on society.

Actions taken by powerful institutions—such as central governments, multinational corporations, influential media outlets, and wealthy philanthropic funders—shape our lives in myriad and often hard-to-perceive ways. Yet on issues from COVID to climate change, our leaders too often misjudge risks, make choices based on political expediency, and fail to imagine wiser alternatives when it counts the most.

It’s no surprise, then, that according to an analysis by 80,000 Hours, “improving the quality of decision-making in important institutions could improve our ability to solve almost all other problems.” We need our institutions to do better. Our lives may literally depend on it.

Incoming

Clara Vandeweerdt

I work on public opinion, media and climate politics. My latest paper talks about how reporting on events looks very different depending on the ideological color of the media outlet.

Via Byrne Hobart, Odlyzko and Tilly (2005):

This note presents several quantitative arguments that suggest the value of a general communication network of size \(n\) grows liken \(n\log(n)\). This growth rate is faster than the linear growth, of order \(n\), that, according to Sarnoff’s Law, governs the value of a broadcast network. On the other hand,it is much slower than the quadratic growth of Metcalfe’s Law, and helps explain the failure of the dot-com and telecom booms, as well as why network interconnection (such as peering on the Internet) remains a controversial issue.

References

Acemoglu, Daron, Victor Chernozhukov, and Muhamet Yildiz. 2006. Learning and Disagreement in an Uncertain World.” Working Paper 12648. National Bureau of Economic Research.
Acemoglu, Daron, and Asuman Ozdaglar. 2011. Opinion Dynamics and Learning in Social Networks.” Dynamic Games and Applications 1 (1): 3–49.
Aleta, Alberto, and Yamir Moreno. 2019. The Dynamics of Collective Social Behavior in a Crowd Controlled Game.” EPJ Data Science 8 (1): 1–16.
Allen, Danielle, Henry Farrell, and Cosma Rohilla Shalizi. 2017. Evolutionary Theory and Endogenous Institutional Change.”
Atanasov, Pavel, Philip Rescober, Eric Stone, Samuel A Swift, Emile Servan-Schreiber, Philip E. Tetlock, Lyle Ungar, and Barbara Mellers. 2015. Distilling the Wisdom of Crowds: Prediction Markets Versus Prediction Polls.” Academy of Management Proceedings 2015 (1): 15192.
Bakshy, Eytan, Dean Eckles, Rong Yan, and Itamar Rosenn. 2012. Social Influence in Social Advertising: Evidence from Field Experiments.” In Proceedings of the 13th ACM Conference on Electronic Commerce, 146–61. EC ’12. New York, NY, USA: Association for Computing Machinery.
Bianchi, Federico, and Flaminio Squazzoni. 2015. Agent-Based Models in Sociology.” WIREs Computational Statistics 7 (4): 284–306.
Board, Simon, and Moritz Meyer-ter-Vehn. 2021. Learning Dynamics in Social Networks.” Econometrica 89 (6): 2601–35.
Bowles, Samuel. 2004. Microeconomics: Behavior, Institutions, and Evolution. Princeton University Press.
Campante, Filipe, Ruben Durante, and Andrea Tesei. 2022. Media and Social Capital.” Annual Review of Economics 14 (1): 69–91.
Centola, Damon. 2018. How Behavior Spreads: The Science of Complex Contagions. 1st edition. Princeton University Press.
Danan, Eric, Thibault Gajdos, Brian Hill, and Jean-Marc Tallon. 2016. Robust Social Decisions.” American Economic Review 106 (9): 2407–25.
DellaPosta, Daniel, Yongren Shi, and Michael Macy. 2015. Why Do Liberals Drink Lattes? American Journal of Sociology 120 (5): 1473–1511.
Dinesen, Peter Thisted, and Kim Mannemar Sønderskov. 2013. Ethnic Diversity and Social Trust: The Role of Exposure in the Micro-Context.” Ethnic Diversity and Social Capital.
Farrell, Henry, Hugo Mercier, and Melissa Schwartzberg. 2022. Analytical Democratic Theory: A Microfoundational Approach.” American Political Science Review, August, 1–6.
Farrell, Henry, and Bruce Schneier. 2018. Common-Knowledge Attacks on Democracy.” SSRN Scholarly Paper ID 3273111. Rochester, NY: Social Science Research Network.
Farrell, Henry, and Cosma Shalizi. 2012. “Cognitive Democracy.” Crooked Timber 23.
———. n.d.a. An Outline of Cognitive Democracy,” 44.
———. n.d.b. “Evolutionary Theory and the Dynamics of Institutional Change,” 41.
Farrell, Henry, and Cosma Rohilla Shalizi. 2015. Pursuing Cognitive Democracy.” From Voice to Influence: Understanding Citizenship in a Digital Age; Allen, D., Light, J., Eds, 211–31.
———. 2021. 9 Pursuing Cognitive Democracy.” In 9 Pursuing Cognitive Democracy, 209–31. University of Chicago Press.
Fu, Feng, and Long Wang. 2008. Coevolutionary Dynamics of Opinions and Networks: From Diversity to Uniformity.” Physical Review E 78 (1): 016104.
Garip, Filiz. 2020. What Failure to Predict Life Outcomes Can Teach Us.” Proceedings of the National Academy of Sciences 117 (15): 8234–35.
Golub, Benjamin, and Matthew O. Jackson. 2010. Naïve Learning in Social Networks and the Wisdom of Crowds.” American Economic Journal: Microeconomics 2 (1): 112–49.
———. 2011. Network Structure and the Speed of Learning: Measuring Homophily Based on Its Consequences.” SSRN Scholarly Paper ID 1784542. Rochester, NY: Social Science Research Network.
———. 2012. How Homophily Affects the Speed of Learning and Best-Response Dynamics.” The Quarterly Journal of Economics 127 (3): 1287–1338.
Haghtalab, Nika, Matthew O. Jackson, and Ariel Procaccia. 2020. Belief Polarization in a Complex World: A Learning Theory Perspective.” SSRN Scholarly Paper ID 3606003. Rochester, NY: Social Science Research Network.
Hertz, Uri, Margaux Romand-Monnier, Konstantina Kyriakopoulou, and Bahador Bahrami. 2016. Social influence protects collective decision making from equality bias.” Journal of Experimental Psychology. Human Perception and Performance 42 (2): 164–72.
Information, Get-Out-the-Vote Messages, and Peer Influence: Causal Effects on Political Behavior in Mozambique.” 2021. Journal of Development Economics 151 (June): 102665.
Jackson, Matthew O. 2009. Social Structure, Segregation, and Economic Behavior.” Presented as the Nancy Schwartz Memorial Lecture, February.
Johnson, N. F., N. Velasquez, N. Johnson Restrepo, R. Leahy, R. Sear, N. Gabriel, H. Larson, and Y. Lupu. 2021. Mainstreaming of Conspiracy Theories and Misinformation,” February.
Lalitha, Anusha, Tara Javidi, and Anand Sarwate. 2014. Social Learning and Distributed Hypothesis Testing.” arXiv:1410.4307 [Cs, Math, Stat], October.
Lepoutre, Maxime. 2020. Democratic Group Cognition.” Philosophy & Public Affairs 48 (1): 40–78.
Lewis, Kevin, Marco Gonzalez, and Jason Kaufman. 2012. Social Selection and Peer Influence in an Online Social Network.” Proceedings of the National Academy of Sciences 109 (1): 68–72.
Lindblom, Charles. 2001. The Market System – What it is, How it Works & What to Make of it: What it is, How it Works and What to Make of it. New Haven: Yale University Press.
List, Christian, and Robert E. Goodin. 2001. Epistemic Democracy: Generalizing the Condorcet Jury Theorem.” Journal of Political Philosophy 9 (3): 277–306.
Lorenz, Jan. 2010. Heterogeneous Bounds of Confidence: Meet, Discuss and Find Consensus! Complexity 15 (4): 43–52.
Mann, Richard P., and Dirk Helbing. 2016. Minorities Report: Optimal Incentives for Collective Intelligence.” arXiv:1611.03899 [Cs, Math, Stat], November.
Masuda, N, and S Redner. 2011. “Can Partisan Voting Lead to Truth?” Journal of Statistical Mechanics: Theory and Experiment 2011: –02002.
Meade, N., and Towhidul Islam. 2006. “Modeling and Forecasting the Diffusion of Innovation - A 25 Year Review.” International Journal of Forecasting 22 (January): 529–45.
Moussaïd, Mehdi, Juliane E. Kämmer, Pantelis P. Analytis, and Hansjörg Neth. 2013. Social Influence and the Collective Dynamics of Opinion Formation.” PLoS ONE 8 (11): e78433.
O’Connor, Cailin, and Jingyi Wu. 2021. How Should We Promote Transient Diversity in Science? MetaArXiv.
Odlyzko, Andrew, and Benjamin Tilly. 2005. “A Refutation of Metcalfe’s Law and a Better Estimate for the Value of Networks and Network Interconnections.”
Olfati-Saber, R., J.A. Fax, and R.M. Murray. 2007. Consensus and Cooperation in Networked Multi-Agent Systems.” Proceedings of the IEEE 95 (1): 215–33.
Peters, Ole, and Alexander Adamou. 2015. An Evolutionary Advantage of Cooperation.” arXiv:1506.03414 [Nlin, q-Bio, q-Fin], June.
Pinheiro, Flávio L., Marta D. Santos, Francisco C. Santos, and Jorge M. Pacheco. 2014. Origin of Peer Influence in Social Networks.” Physical Review Letters 112 (9): 098702.
Powell, Derek, and Kara Weisman. 2018. Articulating Lay Theories Through Graphical Models: A Study of Beliefs Surrounding Vaccination Decisions,” February.
Ren, W, and R W Beard. 2005. “Consensus Seeking in Multiagent Systems Under Dynamically Changing Interaction Topologies.” Automatic Control, IEEE Transactions on 50 (5): 655–61.
Simon, Herbert. 1996. Sciences of the Artificial 3ed. 1st edition. Cambridge, Mass: The MIT Press.
Spufford, Francis. 2012. Red Plenty. 1st edition. London: Faber Non Fiction.
Sunstein, Cass R., and Reid Hastie. 2014. Wiser: Getting Beyond Groupthink to Make Groups Smarter. Boston, Massachusetts: Harvard Business Review Press.
Tapscott, Don, and Anthony D. Williams. 2008. Wikinomics: how mass collaboration changes everything. Expanded ed. London: Atlantic Books.
Thomas, A. C. 2013. The Social Contagion Hypothesis: Comment on ‘Social Contagion Theory: Examining Dynamic Social Networks and Human Behavior’.” Statistics in Medicine 32 (4): 581–90.
Tufekci, Zeynep. 2014. Engineering the Public: Big Data, Surveillance and Computational Politics.” First Monday, July.
Watts, Duncan J. 2014. Common Sense and Sociological Explanations.” American Journal of Sociology 120 (2): 313–51.
———. 2018. Small Worlds: The Dynamics of Networks between Order and Randomness. Princeton University Press.
Weinberger, David. 2008. Everything Is Miscellaneous: The Power of the New Digital Disorder. Godalming: St. Martins Press-3PL.
Weisbuch, Gérard, Guillaume Deffuant, Frédéric Amblard, and Jean-Pierre Nadal. 2002. Meet, Discuss, and Segregate! Complexity 7 (3): 55–63.
Weng, Lilian, Filippo Menczer, and Yong-Yeol Ahn. 2013. Virality Prediction and Community Structure in Social Networks.” Scientific Reports 3 (1): 2522.
Wiener, Anna. 2020. Uncanny Valley: A Memoir. New York: Farrar, Straus and Giroux.
Wojcik, Stefan. 2018. Do Birds of a Feather Vote Together, or Is It Peer Influence? Political Research Quarterly 71 (1): 75–87.

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