Épistémologie du web
Convergence, collaboration, affiliation
DOI:
https://doi.org/10.12775/ZN.2019.024Keywords
convergence, collaboration, affiliationAbstract
Within thirty years, the relation between the Internet and the scientific activity has changed profoundly. The Internet has shifted from being an instrument of academic collaboration to being a tool used by social media, allowing for a maximum diffusion of irrationalism and alt-factualism. To understand this change, one needs re-examine the mechanisms of opinion convergence. This convergence stems primarily from the existence of the world we share, which exposes us to the same facts and determines the constant revision of each person’s beliefs. In this process of asymptotic opinion convergence, no communication between individuals is required. Of course, if the facts known by some are communicated to others, this convergence accelerates considerably, so much so that we must regard knowledge as a result of collective activity, and the exchange of information as one of its crucial sources. On the one hand, this epistemic cooperation seems natural and easy to implement. Given the properties of information, which is an asset we keep even if we share it, the sharing of information is not subject to the usual difficulties related to cooperation. Defection provides no profit, making the prisoner’s dilemma not applicable to epistemic cooperation. On the other hand, such cooperation is productive by nature: the collaboration of the one who knowns φ and the one who knows that φ implies ψ results in both agents having the knowledge of ψ, which neither of them had before the exchange. The earlier Internet allowed for an extreme intensity of this informational cooperation.
At present, we are dealing with a different kind of situation. Several factors, including the growing porosity between scientists and the public, have strengthened the role of exchange. It is not an exchange of information, but an exchange of opinions. The biases inherent to human nature, and especially the confirmation bias, tends to reverse the relationship between facts and opinions. We search for the facts confirming the opinions we hold, doubt those which undermine them and create facts to corroborate what we believe. Hence, we go from cooperation to affiliation, dividing the Internet into homogenic groups of believers.
References
Bibliographie
Ambrose A., 1935, “Finitism in Mathematics (I)”, Mind 44 (174) : 186–203.
Aristote, 2005, Seconds Analytiques, Paris : Garnier-Flammarion.
Bergson H., 1908, L’évolution créatrice, 4e éd., Paris : Félix Alcan.
Birnholtz J. P., 2006, “What Does it Mean to be an Author? The Intersection of Credit, Contribution, and Collaboration in Science”, Journal of the Association for Information and Technology 57 (13) : 1758–1770.
Bonnay D., Cozic M., 2016, “Épistémologie sociale et épistémologie bayésienne. La vie sociale des bayésiens ”, in : I. Drouet (éd.), Le bayésianisme aujourd’hui. Fondements et pratiques, Paris : Éditions Matériologiques, 113–163.
Bonnay D., Dubucs J., 2011, “Philosophie des mathématiques”, in : A. Barberousse, D. Bonnay, M. Cozic (éd.), Précis de philosophie des sciences, Paris : Éditions Vuibert, 293–349.
Boolos G., 1999, “Don’t Eliminate Cut”, in : Logic, Logic and Logic, Cambridge Mass.: Harvard University Press, 365–369.
Boyer-Kassem T., Mayo-Wilson C., Weisberg M. (éd.), 2018, Scientific Collaboration and Collective Knowledge. New Essays, New York : Oxford University Press.
Carnap R., 1952, The Continuum of Inductive Methods, Chicago : University of Chicago Press.
Descartes R., 1902, “La geométrie”, in : Oeuvres complètes. Discours de la méthode et essais, sous la dir. de C. Adam et P. Tannery, t. 6, Paris : Léopold Cerf, 367–486.
Dubucs J., 1988, “Die sogenannte Analytizität der Mathematik: für eine Radikalisierung der Theorie Hintikka’s”, Grazer Philosophische Studien 32 : 83–112.
Dubucs J., 1997, “Logique, effectivité et faisabilité”, Dialogue. Revue canadienne de philosophie 36 (1) : 45–68.
Dubucs J., 2002, “Feasibility in Logic”, Synthese 132 (3) : 213–237.
Dubucs J., 2003, “Preuves, fondements et certificats”, Philosophia Scientiae 7 (1) : 167–198. European Digital Mathematics Library : 103685 (doc).
Dubucs J., 2014, “Digital Humanities. Foundations”, in : P. Dávidházi (éd.), New Publication Cultures in the Humanities. Exploring a Paradigm Shift, Amsterdam : Amsterdam University Press, 21–36. Open Access Publishing in European Networks : 515678.
Dubucs J., 2015, “Cooperation: a Key Enabler for Innovation”, Scientific American 447 bis: Energy, Transport, Smart Cities. New Paths for Innovation : 10–11.
Dubucs J., 2016, “Cooperative Knowledge. The Logical Basis of Networking”, in : W. Miskiewicz, N. Juchniewicz (éd.), Digital Ecosystems. Digital Humanities, Warsaw : DELab, 39–42, http://www.delab.uw.edu.pl/wp-content/uploads/2016/07/Digital-Ecosystems-3.pdf.
Dubucs J., Lapointe S., 2006, “On Bolzano’s Alleged Explicativism”, Synthese 150 (2) : 229–246.
Edwards W., Lindman H., Savage L. J., 1963, “Bayesian Statistical Inference for Psychological Research”, Psychological Research 70 (3) : 193–242, https://errorstatistics.files.wordpress.com/2013/11/edwards-lindman-savage_1963.pdf.
Egré P., Rossi L., Sprenger J., 2021, “De Finettian Logics of Indicative Conditionals. Part 1: Trivalent Semantics and Validity”, Journal of Philosophical Logic 50 : 187–213.
Elster J., 1998, Ulysses and the Sirens. Studies in Rationality and Irrationality, Cambridge : Cambridge University Press.
Fagin R. et al., 1995, Reasoning About Knowledge, Cambridge Mass.: The MIT Press.
Finetti B. de, 1937, “La prévision: ses lois logiques, ses sources subjectives”, Annales de l’Institut Henri Poincaré 7 (1) : 1–68.
Finetti B. de, 1975, Theory of Probability. A Critical Introductory, New York : Wiley.
Fruttero C., Lucentini F., 1985, La prevalenza del cretino, Milan : Mondadori.
Galton F., 1907, “Vox Populi”, Nature 75 : 450–451.
Hempel C. G., 1945, “On the Nature of Mathematical Truth”, The American Mathematical Monthly 52 (10) : 543 – 556.
Ioannidis J. P. A., Klavans R., Boyack K. W., Sept. 2018, “Thousands of Scientist Publish a Paper Every Five Days”, Nature 561 (7722) : 167–169.
Jemielniak D., Przegalinska A., 2020, Collaborative Society, Cambridge Mass.: The MIT Press.
Keynes J. M., 1923, A Tract on Monetary Reform, London : Macmillan & Co.
Kuld L., O’Hagan J., 2018, “Rise of Multi-Authored Papers in Economics: Demise of the ‘Lone Star’ and Why”, Scientometrics 114 : 1207–1225.
Leonelli S., 2020, “Scientific Research and Big Data”, in : E. N. Zalta (éd.), The Stanford Encyclopedia of Philosophy, Stanford: Metaphysics Research Lab, Stanford University.
Lewis D., 1980, “A Subjective Guide to Objective Chance”, in : R. C. Jeffrey (éd.), Studies in Inductive Logic and Probability, t. 2, Berkeley : California University Press, 263–293.
Lewis D., 1986, Philosophical Papers, t. 2, New York–Oxford : Oxford University Press.
Marx K., 1847, Misere de la philosophie. Réponse à la “Philosophie de la Misère de M. Proudhon”, Paris–Bruxelles : A. Franck et C. G. Vogler.
Miller D., 1993, “Diverging Distributions”, in : J. Dubucs (éd.), Philosophy of Probability, Dordrecht : Kluwer Academic Publishers, 55–78.
Miller G. A., 1956, “The Magical Number Seven, Plus or Minus Two. Some Limits on our Capacity for Processing Information”, Psychological Review 63 : 81–97.
Platon, 1999, Ménon, Paris : Flammarion.
Popper K. R., 1990, A World of Propensities, Bristol : Thoemmes Antiquarian Books Ltd.
Russell B., 1936, “The Limits of Empiricism”, Proceedings of the Aristotelian Society 36 (1) : 131–150.
Schreiber M., 2008, “A Modification of the h-Index: The hm-Index Accounts for Multi-Authored Manuscripts”, Journal of Infometrics 2 (3) : 211–216.
Strevens M., 2017, “Scientific Sharing, Communism, and the Social Contract”, in : T. Boyer-Kassem, C. Mayo-Wilson, M. Weisberg (éd.), Scientific Collaboration and Collective Knowledge, Oxford : Oxford University Press, 3–33.
Thagard P., 2001, “Internet Epistemology: Contributions of New Information Technologies to Scientific Research”, in : K. Crowley, C. Schunn, T. Okada (éd.), Designing for Science: Implications from Everyday, Classroom, and Professional Settings, London : Routledge, Taylor & Francis Group, 415–434.
Vlasschaert C., Topf J. M., Swapnil H., 2020, “Proliferation of Papers and Preprints During the Coronavirus Disease 2019 Pandemic. Progress or Problems With Peer Review?”, Advances in Chronic Kidney Disease 27 (5) : 418–426.
Downloads
The publisher's shop:
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Jacques Dubucs

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Stats
Number of views and downloads: 652
Number of citations: 0