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Erschienen in:
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2023 | OriginalPaper | Buchkapitel

Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization

verfasst von : Nicholas Rabb, Lenore Cowen

Erschienen in: Complex Networks and Their Applications XI

Verlag: Springer International Publishing

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Abstract

This work introduces a simple extension to the recent Cognitive Cascades model of Rabb et al. with modeling of multiple media agents, to begin to investigate how the media ecosystem might influence the spread of beliefs (such as beliefs around COVID-19 vaccination). We perform some initial simulations to see how parameters modeling audience fragmentation, selective exposure, and responsiveness of media agents to the beliefs of their subscribers influence polarization. We find that media ecosystem fragmentation and echo-chambers may not in themselves be as polarizing as initially postulated, in the absence of outside fixed media messages that are polarizing.

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Literatur
1.
Benkler, Y., Faris, R., Roberts, H.: Manipulation, Disinformation, and Radicalization in American Politics. Oxford University Press, Network propaganda (2018)
2.
Webster, J.G., Ksiazek, T.B.: The dynamics of audience fragmentation: Public attention in an age of digital media. J. Commun. 62(1), 39–56 (2012)
3.
Cardenal, A.S., Aguilar-Paredes, C., Galais, C., Pérez-Montoro, M.: Digital technologies and selective exposure: how choice and filter bubbles shape news media exposure. Int. J. Press Polit. 24(4), 465–486 (2019)
4.
Messing, S., Westwood, S.J.: Selective exposure in the age of social media: endorsements trump partisan source affiliation when selecting news online. Commun. Res. 41(8), 1042–1063 (2014)
5.
Karlsen, R., Beyer, A., Kari, S.-J.: Do high-choice media environments facilitate news avoidance? A longitudinal study 1997–2016. J. Broadcast. Electron. Med. 64(5), 794–814 (2020)
6.
Knobloch-Westerwick, S.: Choice and Preference in Media Use: Advances in Selective Exposure Theory and Research. Routledge (2014)
7.
Arendt, F., Northup, T., Camaj, L.: Selective exposure and news media brands: Implicit and explicit attitudes as predictors of news choice. Med. Psychol. 22(3), 526–543 (2019)
8.
Iyengar, S., Hahn, K.S.: Red media, blue media: evidence of ideological selectivity in media use. J. Commun. 59(1), 19–39 (2009)
9.
Clinton, J., Cohen, J., Lapinski, J.S., Trussler, M.: Partisan pandemic: How partisanship and public health concerns affect individuals’ social distancing during covid-19. Available at SSRN 3633934 (2020)
10.
Bakshy, E., Messing, S., Adamic, L.A.: Exposure to ideologically diverse news and opinion on facebook. Science 348(6239), 1130–1132 (2015)
11.
Conover, M.D., Ratkiewicz, J., Francisco, M., Gonçalves, B., Menczer, F., Flammini, A.: Political polarization on twitter. In: Fifth international AAAI Conference on Weblogs and Social Media (2011)
12.
Gramlich, J.: 20 striking findings from 2020. Technical report (2020)
13.
Rabb, N., Cowen, L., de Ruiter, J.P., Scheutz, M.: Cognitive cascades: How to model (and potentially counter) the spread of fake news. PLoS ONE (2022)
14.
Jost, J.T., Federico, C.M., Napier, J.L.: Political ideology: its structure, functions, and elective affinities. Ann. Rev. Psychol. 60, 307–337 (2009)
15.
Shehata, A., Strömbäck, J.: Learning political news from social media: network media logic and current affairs news learning in a high-choice media environment. Commun. Res. 48(1), 125–147 (2021)
16.
Marwick, A.E.: Why do people share fake news? A sociotechnical model of media effects. Georgetown Law Technol. Rev. 2(2), 474–512 (2018)
17.
Stanley, J..: How Propaganda Works. Princeton University Press, In How Propaganda Works (2015)CrossRef
18.
Koltai, K., Moran, R.E., Grasso, I.: Addressing the root of vaccine hesitancy during the covid-19 pandemic. XRDS: Crossroads ACM Magaz. Stud. 28(2), 34–38 (2022)
19.
Kuo, R..: Marwick, Alice: Critical disinformation studies: history, power, and politics. Harvard Kennedy School Misinform. Rev. 2(4), 1–11 (2021)
20.
Wendy, H., Kyong, C.: Beyond verification: algorithmic authenticity and polarizing trust. Beyond Disinformation (2021)
21.
Christakis, N.A., Fowler, J.H.: Social contagion theory: examining dynamic social networks and human behavior. Stat. Med. 32(4):556–577 (2013)
22.
Dandekar, P., Goel, A., Lee, D.T.: Biased assimilation, homophily, and the dynamics of polarization. Proc. Nat. Acad. Sci. 110(15), 5791–5796 (2013)
23.
DellaPosta, D., Shi, Y., Macy, M.: Why do liberals drink lattes? Am. J. Sociol. 120(5), 1473–1511 (2015)
24.
Goldberg, A., Stein, S.K.: Beyond social contagion: associative diffusion and the emergence of cultural variation. Am. Sociol. Rev. 83(5), 897–932 (2018)
25.
Sikder, O., Smith, R.E., Vivo, P., Livan, G.: A minimalistic model of bias, polarization and misinformation in social networks. Sci. Rep. 10(1), 1–11 (2020)
26.
Li, K., Liang, H., Kou, G., Dong, Y.: Opinion dynamics model based on the cognitive dissonance an agent-based simulation. Inform. Fus. 56, 1–14 (2020)
27.
Del Vicario, M.., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Eugene Stanley, H, Quattrociocchi, W.: The spreading of misinformation online. Proc. Nat. Acad. Sci. 113(3), 554–559 (2016)
28.
Wiley, C. :Mindf*ck: Cambridge Analytica and the Plot to Break America. Random House/Penguin Random House LLC (2019)
29.
Van Bavel, J.J., Pereira, A.: The partisan brain: an identity-based model of political belief. Trends Cogn. Sci. 22(3), 213–224 (2018)
30.
Swire-Thompson, B., DeGutis, J., Lazer, D.: Measurement and Design Considerations, Searching for the Backfire Effect (2020)
31.
Festinger, L.: A Theory of Cognitive Dissonance, vol. 2. Stanford University Press (1957)
32.
Porot, N., Mandelbaum, E.: The Science of Belief: A Progress Report. Wiley Interdisciplinary Reviews: Cognitive Science, pp. e1539 (2020)
33.
Erdős, Paul: Rényi, Alfréd: On the evolution of random graphs. Publ. Math. Inst. Hung. Acad. Sci 5(1), 17–60 (1960)
34.
Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440–442 (1998)
35.
Barabási, A., and Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)
36.
37.
38.
Musco, C., Musco, C., Tsourakakis, C.E.: Minimizing polarization and disagreement in social networks. In: Proceedings of the 2018 World Wide Web Conference, pp. 369–378 (2018)
Metadaten
Titel
Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization
verfasst von
Nicholas Rabb
Lenore Cowen
Copyright-Jahr
2023
Buch
Complex Networks and Their Applications XI

Print ISBN: 978-3-031-21126-3

Electronic ISBN: 978-3-031-21127-0

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-21127-0_1

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