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The de-legitimation of Machine Learning Algorithms (MLAs) in “The Social Dilemma” (2020): a post-digital cognitive-stylistic approach

  • Nashwa Elyamany

    Dr. Nashwa Elyamany is an associate professor of applied linguistics and a certified IELTS speaking examiner. She served as the Head of Languages Department and is currently Associate Dean for Training and Community Service. She is interested in a wide array of interdisciplinary research projects and her publications include a multiplicity of genres incorporating theories of pragmatics, stylistics, sociolinguistics, social semiotics, science journalism, new media, cultural studies and digital media literacies. She is acknowledged for her unique interdisciplinary scholarship in applied linguistics at the juncture of “Multimodal Critical Discourse Analysis” and “American Culture and Media Studies”. Her research is centered around motivational speeches, digital narratives, musical numbers, VR interactive media productions, digital memes, digital feature articles, docu-dramas, TV ads and campaigns, Virtual Influencers and assistants, aesthetics of forensic genres, and posthuman representation in sci-fi/cli-fi films. She has received scientific publications awards for several papers published in Scopus and Web of Science journals.

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Published/Copyright: April 19, 2024

Abstract

Released on Netflix, the most popular algorithm-oriented streaming service, The Social Dilemma (TSD) is a vivid manifestation of how the recent advancements in Artificial Intelligence and Machine Learning Algorithms (MLAs) have turned both to new species of post-digital, semio-cognitive power. Premised on the conception of MLAs as non-human intermediaries, this research endeavor proposes a novel post-digital ethnography of technologically-mediated algorithmic contexts and takes the challenge of examining MLAs as distributed, contested, and unbounded figures in the filmic narrative of this Netflix production. For the purpose, the paper employs post-digital cognitive-stylistic analytical tools, geared by van Leeuwen’s (de)-legitimation strategies, to showcase how MLAs, as socio-technical actors, are semio-cognitively materialized through spatio-temporal, narrative-immersive de-legitimating patterns. The examination of algorithms as socio-technical imaginary agents fully integrated within sociotechnical assemblages yields insightful findings. Delving deep into the multiple “posts” in the post-digital milieu of the film, the analysis affords valuable results that reframe, rename, and de-legitimate MLAs’ performative agency that is not only procedural-computational, but is socio-technical, semio-discursive, and cognitive-stylistic as well.


Corresponding author: Nashwa Elyamany, College of Language & Communication (CLC), Arab Academy for Science, Technology & Maritime Transport (AASTMT), Smart Village, Giza, Egypt, E-mail:

About the author

Nashwa Elyamany

Dr. Nashwa Elyamany is an associate professor of applied linguistics and a certified IELTS speaking examiner. She served as the Head of Languages Department and is currently Associate Dean for Training and Community Service. She is interested in a wide array of interdisciplinary research projects and her publications include a multiplicity of genres incorporating theories of pragmatics, stylistics, sociolinguistics, social semiotics, science journalism, new media, cultural studies and digital media literacies. She is acknowledged for her unique interdisciplinary scholarship in applied linguistics at the juncture of “Multimodal Critical Discourse Analysis” and “American Culture and Media Studies”. Her research is centered around motivational speeches, digital narratives, musical numbers, VR interactive media productions, digital memes, digital feature articles, docu-dramas, TV ads and campaigns, Virtual Influencers and assistants, aesthetics of forensic genres, and posthuman representation in sci-fi/cli-fi films. She has received scientific publications awards for several papers published in Scopus and Web of Science journals.

Appendix: A list of the ex Silicon Valley employers, scientists, and academicians interviewed in The Social Dilemma (2020)

References

Abidin, Crystal & Gabriele de Seta. 2020. Private messages from the field: Confessions on digital ethnography and its discomforts. Journal of Digital Social Research 2(1). 1–19. https://doi.org/10.33621/jdsr.v2i1.35.Search in Google Scholar

Airoldi, Massimo. 2018. Ethnography and the digital fields of social media. International Journal of Social Research Methdology 21(6). 661–673. https://doi.org/10.1080/13645579.2018.1465622.Search in Google Scholar

Airoldi, Massimo. 2022. Machine habitus: Toward a sociology of algorithms. Cambridge: Polity Press.Search in Google Scholar

Alber, Jan. 2016. Unnatural narrative: Impossible worlds in fiction and drama. Lincoln; London: University of Nebraska Press.10.2307/j.ctt1d4v147Search in Google Scholar

Amoore, Louise. 2020. Cloud ethics: Algorithms and the attributes of ourselves and others. Durham, NC: Duke University Press.10.1215/9781478009276Search in Google Scholar

Ananny, Mike. 2020. Making up political people: How social media create the ideals, definitions, and probabilities of political speech. Georgetown Law Technology Review 4(2). 352–366.10.31219/osf.io/7pd62Search in Google Scholar

Aneesh, A. 2009. Global labor: Algocratic modes of organization. Sociological Theory 27(4). 347–370. https://doi.org/10.1111/j.1467-9558.2009.01352.x.Search in Google Scholar

Barad, Karen. 2007. Meeting the universe halfway: Quantum physics and the entanglement of matter and meaning. Durham and London: Duke University Press.10.2307/j.ctv12101zqSearch in Google Scholar

Beaufils, Kevin & Alexis Berland. 2022. Avatar embodiment: From cognitive self-representation to digital body ownership. Hybrid: Revue des arts et médiations humaines 9. 1–17. https://doi.org/10.4000/hybrid.2664.Search in Google Scholar

Beaulieu, Anne. 2010. From co-location to co-presence: Shifts in the use of ethnography for the study of knowledge. Social Studies of Science 40(30). 453–470. https://doi.org/10.1177/0306312709359219.Search in Google Scholar

Beer, David. 2009. Power through the algorithm? Participatory web cultures and the technological unconscious. New Media & Society 11(6). 985–1002. https://doi.org/10.1177/1461444809336551.Search in Google Scholar

Beer, David. 2013. Popular culture and new media: The politics of circulation. New York: Palgrave Macmillan.10.1057/9781137270061Search in Google Scholar

Beer, David. 2017. The social power of algorithms. Information, Communication & Society 20(1). 1–13. https://doi.org/10.1080/1369118x.2016.1216147.Search in Google Scholar

Bell, Alice & Marie-Laure Ryan. 2019. Possible worlds theory and contemporary narratology. Lincoln, NE: University of Nebraska Press.10.2307/j.ctv8xng0cSearch in Google Scholar

Berg, Martin. 2022. Digital technography: A methodology for interrogating emerging digital technologies and their futures. Qualitative Inquiry 28(7). 827–836. https://doi.org/10.1177/10778004221096851.Search in Google Scholar

Bergé, Jean-Sylvestre, Stephan Grumbach & Vincenzo Zeno-Zencovich. 2018. The ‘datasphere’, data flows beyond control, and the challenges of law and governance. European Journal of Comparative Law and Governance 5(2). 144–178. https://doi.org/10.1163/22134514-00502001.Search in Google Scholar

Bishop, Ryan, Kristoffer Gansing, Jussi Parikka & Elvia Wilk. 2016. Across and beyond: A transmediale reader of post-digital practices, concepts, and institutions. The UK: Sternberg Press.Search in Google Scholar

Bjorkvall, Anders & Catharina NystromHoog. 2019. Legitimation of value practices, value texts, and core values at public authorities. Discourse & Communication 13(4). 398–414. https://doi.org/10.1177/1750481319842457.Search in Google Scholar

Brayne, Sarah & Angèle Christin. 2021. Technologies of crime prediction: The reception of algorithms in policing and criminal courts. Social Problems 68(3). 608–624. https://doi.org/10.1093/socpro/spaa004.Search in Google Scholar

Bucher, Taina. 2017. The algorithmic imaginary: Exploring the ordinary affects of facebook algorithms. Information, Communication & Society 20(1). 30–44. https://doi.org/10.1080/1369118x.2016.1154086.Search in Google Scholar

Bucher, Taina. 2018. If…then: Algorithmic power and politics. Oxford: Oxford University Press.10.1093/oso/9780190493028.001.0001Search in Google Scholar

Büchi, Moritz, Noemi Festic & Michael Latzer. 2022. The chilling effects of digital dataveillance: A theoretical model and an empirical research agenda. Big Data & Society. 1–14. https://doi.org/10.1177/20539517211065368.Search in Google Scholar

Burrell, Jenna. 2009. The fieldsite as a network: A strategy for locating ethnographic research. Field Methods 21(2). 181–199. https://doi.org/10.1177/1525822X083296.Search in Google Scholar

Chaidas, Dimitrios. 2018. The benefits of narratology in the analysis of multimodal legitimation: The case of new democracy. Discourse & Communication 12(3). 258–277. https://doi.org/10.1177/1750481318757770.Search in Google Scholar

Cheng, Le & Xiuli Liu. 2022. Politics behind the law: Unveiling the discursive strategies in extradition hearings on Meng Wanzhou. International Journal of Legal Discourse 7(2). 235–255. https://doi.org/10.1515/ijld-2022-2072.Search in Google Scholar

Cheng, Le & Xiuli Liu. 2023. From principles to practices: The intertextual interaction between AI ethical and legal discourse. International Journal of Legal Discourse 8(1). 31–52. https://doi.org/10.1515/ijld-2023-2001.Search in Google Scholar

Cheng, Le, Yuxin Liu & Yun Zhao. 2021. Exploring the U.S. Institutional discourse about critical information infrastructure protection (CIIP): A corpus-based analysis. International Journal of Legal Discourse 6(2). 323–347. https://doi.org/10.1515/ijld-2021-2058.Search in Google Scholar

Cheney-Lippold, John. 2017. We are data: Algorithms and the making of our digital selves. New York: New York University Press.10.2307/j.ctt1gk0941Search in Google Scholar

Christin, Angèle. 2020. The ethnographer and the algorithm: Beyond the black box. Theory and Society 49(5). 897–918. https://doi.org/10.1007/s11186-020-09411-3.Search in Google Scholar

Clarke, Roger & Graham Greenleaf. 2017. Dataveillance regulation: A research framework. UNSW Law Research Paper 17(84). 1–15.10.2139/ssrn.3073492Search in Google Scholar

Cohen, Julie E. 2018. The biopolitical public domain. The legal construction of the surveillance economy. Philosophy and Technology 31. 213–233. https://doi.org/10.1007/s13347-017-0258-2.Search in Google Scholar

Couldry, Nick & Andreas Hepp. 2013. Conceptualizing mediatization: Contexts, traditions, arguments. Communication Theory 23(3). 191–202. https://doi.org/10.1111/comt.12019.Search in Google Scholar

Couldry, Nick & Ulises A. Meijas. 2019. The costs of connection: How data is colonizing human life and appropriating it for capitalism. Stanford: Stanford University Press.10.1515/9781503609754Search in Google Scholar

Crawford, Kate. 2021. The atlas of AI: Power, politics, and the planetary costs of artificial intelligence. London: Yale University Press.10.12987/9780300252392Search in Google Scholar

Danaher, John. 2016. The threat of algocracy: Reality, resistance and accommodation. Philosophy & Technology 29(3). 245–268. https://doi.org/10.1007/s13347-015-0211-1.Search in Google Scholar

Daston, Lorraine. 2019. Mechanical rules before machines: Rules and paradigms. New York: Roosevelt House Public Policy Institute, Hunter College, Columbia University. Available at: https://scienceandsociety.columbia.edu/events/lorraine-daston-mechanical-rules-machines-rules-and-paradigms.Search in Google Scholar

Davis, Jenny L., Apryl Williams & Michael W. Yang. 2021. Algorithmic reparation. Big Data & Society 8(2). 1–14. https://doi.org/10.1177/20539517211044808.Search in Google Scholar

Elyamany, Nashwa. 2022. Have we always been cyborgs? A critique of Stefan Lorenz Sorgner’s latest transhumanistic work. Insights into Language, Culture and Communication 2(2). 142–147. https://doi.org/10.21622/ilcc.2022.02.2.142.Search in Google Scholar

Faraj, Samer, Stella Pachidi & Karla Sayegh. 2018. Working and organizing in the age of the learning algorithm. Information and Organization 28(1). 62–70. https://doi.org/10.1016/j.infoandorg.2018.02.005.Search in Google Scholar

Finn, Ed. 2017. What algorithms want: Imagination in the age of computing. Cambridge, MA: MIT Press.10.7551/mitpress/9780262035927.001.0001Search in Google Scholar

Forberg, Peter & Kristen Schilt. 2023. What is ethnographic about digital ethnography? A sociological perspective. Frontiers in Sociology 8. 1–15. https://doi.org/10.3389/fsoc.2023.1156776.Search in Google Scholar

Fourcade, Marion & Fleur Johns. 2020. Loops, ladders and links: The recursivity of social and machine learning. Theory and Society 49(5/6). 803–832. https://doi.org/10.1007/s11186-020-09409-x.Search in Google Scholar

Galloway, Alexander. 2021. Uncomputable: Play and politics in the long digital age. London: Verso.Search in Google Scholar

Gavins, Joanna. 2007. Text world theory: An introduction. Edinburgh: Edinburgh University Press.10.1515/9780748629909Search in Google Scholar

Gillespie, Tarleton. 2014. The relevance of algorithms. In Tarleton Gillespie, Pablo J. Boczkowski & Kirsten A. Foot (eds.), Media technologies, 167–194. Cambridge, MA: MIT Press.Search in Google Scholar

Goriunova, Olga. 2017. The lurker and the politics of knowledge in data culture. International Journal of Communication 11(2017). 3917–3933.Search in Google Scholar

Gritsenko, Daria & Matthew Wood. 2022. Algorithmic governance: A modes of governance approach. Regulation & Governance 16(10). 45–62. https://doi.org/10.1111/rego.12367.Search in Google Scholar

Haggerty, Kevin D. & Richard V. Ericson. 2000. The surveillant assemblage. British Journal of Sociology 51(4). 605–622. https://doi.org/10.1080/00071310020015280.Search in Google Scholar

Hansen, Anna Schjøtt & Jannie Møller Hartley. 2023. Designing what’s news: An ethnography of a personalization algorithm and the data-driven (re)assembling of the news. Digital Journalism 11(6). 924–942. https://doi.org/10.1080/21670811.2021.1988861.Search in Google Scholar

Hayles, N. Katherine. 2017. Unthought: The power of the cognitive nonconscious. Chicago: Chicago University Press.10.7208/chicago/9780226447919.001.0001Search in Google Scholar

Hine, Christine. 2008. Virtual ethnography: Modes, varieties, affordances. In Nigel Fielding, Raymond M. Lee & Grant Blank (eds.), The SAGE handbook of online research methods, 257–270. Thousand Oaks, CA: Sage Publications.10.4135/9780857020055.n14Search in Google Scholar

Hine, Christine. 2015. Ethnography for the internet: Embedded, embodied and everyday. London: Routledge.Search in Google Scholar

Hjorth, Larissa, Heather Horst, Anne Galloway & Genevieve Bell. 2017. The Routledge companion to digital ethnography. New York: Routledge.10.4324/9781315673974Search in Google Scholar

Hoffman, Steve G. 2021. A story of nimble knowledge production in an era of academic capitalism. Theory and Society 50(4). 541–575. https://doi.org/10.1007/s11186-020-09422-0.Search in Google Scholar

Hybels, Ralph. 1995. On legitimacy, legitimation, and organizations: A critical review and integrative theoretical model. Academy of Management Proceedings 1995(1). 241–245. https://doi.org/10.5465/ambpp.1995.17536509.Search in Google Scholar

Hven, Steffen. 2022. Enacting the worlds of cinema. Oxford: Oxford University Press.10.1093/oso/9780197555101.001.0001Search in Google Scholar

Ienca, Marcello. 2023. On artificial intelligence and manipulation. Topoi 42. 833–842. https://doi.org/10.1007/s11245-023-09940-3.Search in Google Scholar

Issar, Shiv & Aneesh Aneesh. 2022. What is algorithmic governance? Sociology Compass 16(1). e12955. https://doi.org/10.1111/soc4.12955.Search in Google Scholar

Jasanoff, Sheila & Sang-Hyun Kim. 2009. Containing the atom: Sociotechnical imaginaries and nuclear power in the United States and South Korea. Minerva 47. 119–146. https://doi.org/10.1007/s11024-009-9124-4.Search in Google Scholar

Jasanoff, Sheila & Sang-Hyun Kim. 2015. Dreamscapes of modernity: Sociotechnical imaginaries and the fabrication of power. Chicago/London: University of Chicago Press.10.7208/chicago/9780226276663.001.0001Search in Google Scholar

Jaton, Florian. 2021. The constitution of algorithms: Ground-truthing, programming, formulating. Cambridge: The MIT Press.10.7551/mitpress/12517.001.0001Search in Google Scholar

Just, Natascha & Michael Latzer. 2017. Governance by algorithms: Reality construction by algorithmic selection on the Internet. Media, Culture & Society 39(2). 238–258. https://doi.org/10.1177/0163443716643157.Search in Google Scholar

Kalpokas, Ignas. 2019. Algorithmic governance: Politics and law in the post-human era. Berlin: Springer.10.1007/978-3-030-31922-9Search in Google Scholar

Katzenbach, Christian & Lena Ulbricht. 2019. Algorithmic governance. Internet Policy Review 8(4). 1–18. https://doi.org/10.14763/2019.4.1424.Search in Google Scholar

Kien, Grant. 2008. Technography = technology + ethnography: An introduction. Qualitative Inquiry 14(7). 1101–1109. https://doi.org/10.1177/1077800408318433.Search in Google Scholar

Kotras, Baptiste. 2020. Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge. Big Data & Society 7(2). 1–14. https://doi.org/10.1177/2053951720951581.Search in Google Scholar

Kozinets, Robert V. 2015. Netnography: Redefined. London: Sage.10.1002/9781118767771.wbiedcs067Search in Google Scholar

Krippendorff, Klaus. 2004. Content analysis: An introduction to its methodologies. Thousand Oaks, CA: SAGE.Search in Google Scholar

Lakoff, George & Mark Johnson. 2003. Metaphors we live by. Chicago: University of Chicago Press.10.7208/chicago/9780226470993.001.0001Search in Google Scholar

Langacker, Ronald W. 2008. Cognitive grammar: A basic introduction. Oxford: Oxford University Press.10.1093/acprof:oso/9780195331967.001.0001Search in Google Scholar

Langlois, Ganaele & Greg Elmer. 2018. Impersonal subjectivation from platforms to infrastructures. Media, Culture and Society 41(2). 236–251. https://doi.org/10.1177/0163443718818374.Search in Google Scholar

Lash, Scott. 2007. Power after hegemony: Cultural studies in mutation? Theory Culture & Society 24(3). 55–78. https://doi.org/10.1177/0263276407075956.Search in Google Scholar

Lehtiniemi, Tuukka. 2020. Imagining the data economy. PhD Dissertation, Centre for Consumer Society Research, Academic Disciplines of the Faculty of Social Sciences, University of Helsinki, Finland.Search in Google Scholar

Lehtiniemi, Tuukka & Minna Ruckenstein. 2019. The social imaginaries of data activism. Big Data & Society 6(1). 1–12. https://doi.org/10.1177/2053951718821146.Search in Google Scholar

Lury, Celia & Sophia Day. 2019. Algorithmic personalization as a mode of individuation. Theory, Culture & Society 36(2). 17–37. https://doi.org/10.1177/0263276418818888.Search in Google Scholar

Mackay, Rowan R. 2015. Multimodal legitimation: Selling scottish independence. Discourse & Society 26(3). 323–348. https://doi.org/10.1177/0957926514564737.Search in Google Scholar

Mager, Astrid & Christian Katzenbach. 2021. Future imaginaries in the making and governing of digital technology: Multiple, contested, commodified. New Media & Society 23(2). 223–236. https://doi.org/10.1177/1461444820929321.Search in Google Scholar

Mau, Steffen. 2019. The metric society: On the quantification of the social. Cambridge and Medford: Polity Press.Search in Google Scholar

Mengyu, Chen. 2023. Relational experience design for immersive narratives. PhD Dissertation, Media Arts and Technology, University of California, Santa Barbara.Search in Google Scholar

Morozov, Evgeny. 2015. Digital technologies and the future of data capitalism. Social Europe. Available at: https://www.socialeurope.eu/digital-technologies-and-the-future-of-data-capitalism.Search in Google Scholar

Munn, Luke. 2018. Ferocious logics: Unmaking the algorithm. Lüneburg: Meson press.Search in Google Scholar

Murthy, Dhiraj. 2008. Digital ethnography: An examination of the use of new technologies for social research. Sociology 42(5). 837–855. https://doi.org/10.1177/0038038508094565.Search in Google Scholar

Neyland, Daniel. 2019. The everyday life of an algorithm. London: Palgrave Macmillan.10.1007/978-3-030-00578-8Search in Google Scholar

Palmer, Alan. 2010. Social minds in the novel. Columbus: The Ohio State University Press.Search in Google Scholar

Parker, Ian. 1992. Discourse dynamics: Critical analysis for social and individual psychology. New York: Routledge.Search in Google Scholar

Pasquale, Frank. 2015. Black box society: The secret algorithms that control money and information. Cambridge: Harvard University Press.10.4159/harvard.9780674736061Search in Google Scholar

Pasquinelli, Matteo. 2017. Machines that morph logic: Neural networks and the distorted automation of intelligence as statistical inference. Glass Bead 1(1). 1–13.Search in Google Scholar

Pfaffenberger, Bryan. 1992. Technological dramas. Science, Technology & Human Values 17(3). 282–312. https://doi.org/10.1177/016224399201700302.Search in Google Scholar

Pink, Sarah, Heather Horst, John Postill, Larisa Hjorth, Tania Lewis & Jo Tacchi. 2016. Digital ethnography: Principles and practice. London & New York: Sage.Search in Google Scholar

Rieder, Gernot. 2018. Tracing big data imaginaries through public policy: The case of the European Commission. New York: Routledge.Search in Google Scholar

Rojo, Luisa Martin & Teun A. van Dijk. 1997. “There was a problem, and it was solved!”: Legitimating the expulsion of illegal migrants in Spanish parliamentary discourse. Discourse & Society 8(4). 523–566. https://doi.org/10.1177/0957926597008004005.Search in Google Scholar

Ruppert, Evelyn. 2018. Sociotechnical imaginaries of different data futures: An experiment in citizen data. Rotterdam: 3e Van Doornlezing.Search in Google Scholar

Seaver, Nick. 2017. Algorithms as culture: Some tactics for the ethnography of algorithmic systems. Big Data & Society 4(2). 1–12. https://doi.org/10.1177/2053951717738104.Search in Google Scholar

Simonsen, Sandra. 2019. Discursive legitimation strategies: The evolving legitimation of war in Israeli public diplomacy. Discourse & Society 30(5). 503–520. https://doi.org/10.1177/0957926519855786.Search in Google Scholar

Small, Mario Luis & Jessica McCroy Calarco. 2022. Qualitative literacy: A guide to evaluating ethnographic and interview research. Berkeley, CA: University of California Press.10.1525/9780520390676Search in Google Scholar

Song, Lijue & Changshan Ma. 2022. Identifying the fourth generation of human rights in digital era. International Journal of Legal Discourse 7(1). 83–111. https://doi.org/10.1515/ijld-2022-2065.Search in Google Scholar

Suchman, Lucy. 2018. Frankenstein’s problem. In “Living with Monsters? Social Implications of Algorithmic Phenomena, Hybrid Agency, and the Performativity of Technology.” IFIP WG 8.2 Working Conference on the Interaction of Information Systems and the Organization, IS and O 2018, Proceedings. IFIP Advances in Information and Communication Technology, 13–18. USA: Springer.10.1007/978-3-030-04091-8_2Search in Google Scholar

Ulbricht, Lena & Karen Yeung. 2022. Algorithmic regulation: A maturing concept for investigating regulation of and through algorithms. Regulation & Governance 16(1). 3–22. https://doi.org/10.1111/rego.12437.Search in Google Scholar

van Leeuwen, Theo. 2007. Legitimation in discourse and communication. Discourse & Communication 1(1). 91–112. https://doi.org/10.1177/1750481307071986.Search in Google Scholar

Wang, Chunhui, Le Cheng & Jiamin Pei. 2020. Exploring the cyber governance discourse: A perspective from China. International Journal of Legal Discourse 5(1). 1–15. https://doi.org/10.1515/ijld-2020-2025.Search in Google Scholar

Williamson, Ben. 2017. Moulding student emotions through computational psychology: Affective learning technologies and algorithmic governance. Education Media International 54(4). 267–288. https://doi.org/10.1080/09523987.2017.1407080.Search in Google Scholar

Yeung, Karen. 2018. Algorithmic regulation: A critical interrogation. Regulation & Governance 12(4). 505–523. https://doi.org/10.1111/rego.12158.Search in Google Scholar

Zajko, Mike. 2021. Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory. AI & Society 36(3). 1047–1056. https://doi.org/10.1007/s00146-021-01153-9.Search in Google Scholar

Ziewitz, Malte. 2016. Governing algorithms: Myth, mess, and methods. Science, Technology & Human Values 41(1). 3–16. https://doi.org/10.1177/0162243915608948.Search in Google Scholar

Zuboff, Shoshana. 2015. Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology 30(1). 75–89. https://doi.org/10.1057/jit.2015.5.Search in Google Scholar

Zuboff, Shoshana. 2019a. The age of surveillance capitalism: The fight for the future at the new frontier of power. London: Profile Books.Search in Google Scholar

Zuboff, Shoshana. 2019b. Surveillance capitalism and the challenge of collective action. New Labor Forum 28(1). 10–19. https://doi.org/10.1177/1095796018819461.Search in Google Scholar

Received: 2023-06-12
Accepted: 2024-01-11
Published Online: 2024-04-19
Published in Print: 2024-04-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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