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@article{IVP_2022_30_3_a1, author = {A. Krylov}, title = {Bifurcation of public opinion created by social media algorithms}, journal = {Izvestiya VUZ. Applied Nonlinear Dynamics}, pages = {261--267}, publisher = {mathdoc}, volume = {30}, number = {3}, year = {2022}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/IVP_2022_30_3_a1/} }
A. Krylov. Bifurcation of public opinion created by social media algorithms. Izvestiya VUZ. Applied Nonlinear Dynamics, Tome 30 (2022) no. 3, pp. 261-267. http://geodesic.mathdoc.fr/item/IVP_2022_30_3_a1/
[1] Prasetya H. A., Murata T., “A model of opinion and propagation structure polarization in social media”, Comput. Soc. Netw, 7:1 (2020), 2 | DOI
[2] Bakshy E., Messing S., Adamic L. A., “Exposure to ideologically diverse news and opinion on Facebook”, Science, 348:6239 (2015), 1130–1132 | DOI
[3] Xiong F., Liu Y., “Opinion formation on social media: An empirical approach”, Chaos, 24:1 (2014), 013130 | DOI
[4] Törnberg P., Andersson C., Lindgren K., Banisch S., “Modeling the emergence of affective polarization in the social media society”, PLoS ONE, 16:10 (2021), e0258259 | DOI
[5] Bail C. A., Argyle L. P., Brown T. W., Bumpus J. P., Chen H., Hunzaker M. B. F., Lee J., Mann M., Merhout F., Volfovsky A., “Exposure to opposing views on social media can increase political polarization”, Proc. Natl. Acad. Sci. U.S.A, 115:37 (2018), 9216–9221 | DOI
[6] Mäs M., Flache A., Helbing D., “Individualization as driving force of clustering phenomena in humans”, PLoS Comput. Biol., 6:10 (2010), e1000959 | DOI