Veri Odaklı Piyasada Medyada Çalışma: Reklam Profesyonellerinin Emeğini Yeniden Düşünmek

Yıl 2022, Cilt: 9 Sayı: 1, 31 - 56, 25.05.2022

Yeşim Akmeraner

https://doi.org/10.24955/ilef.1112405

Öz

Back to Media Work in a Data-Driven Market: Re-Thinking the Labor of Advertising Practitioners

Öz

Industry advocates argue that the focus of advertising production has shifted from the creativity of practitioners to consumer analytics and the potential advantages of big data. Although a little empirical research offers valuable insights about the changing role of advertising practitioners, it lacks a critical perspective to situate it in a broader social context. On the other hand, digital labor and branding literature over-concentrate on user labor and neglect the role of practitioners in advertising production. By deploying the concept of immaterial labor, this article reevaluates the findings of mainstream marketing-advertising literature within the context of post-Fordist labor. This article aims to create a resonance between theories of immaterial labor and advertising literature and to call for further empirical research from a labor perspective. It argues that advertising practitioners put more strategical, relational and communicative powers into work to manage a data-oriented market.

Anahtar Kelimeler

Advertising Practitioners, Immaterial Labour, Big Data, Media Work, Autonomist Marxism

Kaynakça

• Anderson, Chris W. 2011. “Between Creative and Quantified Audiences: Web Metrics and Changing Patterns of Newswork in Local US Newsrooms.” Journalism 12 (5): 550-566. https://doi.org/10.1177/1464884911402451.
• Aires, Susana. 2020. “Labored Identity: An Analysis of User Branding Practices on Instagram.” Triple C: Communication, Capitalism & Critique 18 (1): 494-507. https://doi.org/10.31269/triplec.v18i1.1142 .
• Andrejevic, Mark. 2012. “Exploitation in the Data Mine.” In Internet and Surveillance: The Challenges of Web 2.0 and Social Media, edited by Christian Fuchs, Kees Boersma, Anders Albrechtslund and Marisol Sandoval, 71-88. New York: Routledge.
• Andrejevic, Mark and Kelly Gates. 2014. “Big Data Surveillance: Introduction.” Surveillance & Society 12 (2): 185-196.
• Arvidsson, Adam. 2005. “Brands: A Critical Perspective.” Journal of Consumer Culture 5 (2): 235–258. https://doi.org/10.1177/1469540505053093.
• Arvidsson, Adam. 2007. “Creative Class or Administrative Class? On Advertising and the ‘Underground’.” Ephemera Theory & Politics in Organization 7 (1): 8-23.
• Atıcı, Selim Gökçe. 2016. “Post-Fordist Affects, Times, and Images: An Ethnography of Circulation in a Digital Advertising Agency in Istanbul.” Master’s diss., Boğaziçi University.
• 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.
• Bollier, David. 2010. The Promise and Peril of Big Data. Washington, DC: The Aspen Institute.
• Boutang, Yann Moulier. 2011. Cognitive Capitalism. Translated by Ed Emery. Cambridge: Polity Press.
• Carah, Nicholas. 2017. “Algorithmic Brands: A Decade of Brand Experiments with Mobile and Social Media.” New Media & Society 19 (3): 384–400. https://doi.org/10."1177/1461444815605463.
• Carlson, Matt. 2014. “The Robotic Reporter.” Digital Journalism 3 (3): 416-431. https://doi.org/10.1080/21670811.2014.976412.
• Castells, Manuel. 2010. The Information Age: Economy, Society and Culture. Volume I The Rise of the Network Society. 2nd ed. West Sussex: Wiley-Blackwell.
• Chen, Gang, Peihong Xie, Jing Dong and Tianfu Wang. 2019. “Understanding Programmatic Creative: The Role of AI.” Journal of Advertising 48 (4): 347-355.
• Chan, Lik Sam. 2017. “Cultivation and Erosion of Creative Identity: A Hong Kong Advertising Agency as Case Study.” Continuum 31 (2): 325-335. https://doi.org/10.1080/10304312.2016.1257696
• Chen, Huan and Liling Zhou. 2018. “The Myth of Big Data: Chinese Advertising Practitioners’ Perspective.” International Journal of Advertising 37 (4): 633-649. https://doi.org/10.1080/02650487.2017.1340865.
• Couldry, Nick. 2017. “The Myth of Big Data.” In the Datafied Society Studying Culture Through Data, edited by Mirko Tobias Schäfer and Karin van Es, 235-239. Amsterdam: Amsterdam University Press.
• Couldry, Nick and Ulises Ali Mejias. 2019. The Costs of Connection: How Data Is Colonizing Human Life and Appropriating It for Capitalism. Stanford: Stanford University Press.
• de Peuter, Greig. 2011. “Creative Economy and Labor Precarity: A Contested Convergence.” Journal of Communication Inquiry 35 (4): 417–425. https://doi.org/10.1177/0196859911416362.
• Deighton, John A. 2017. “Rethinking the Profession Formerly Known as Advertising: How Data Science Is Disrupting the Work of Agencies.” Journal of Advertising Research 57 (4): 357–361. https://doi.org/10.2501/JAR-2017-045.
• Deuze, Mark. 2007. Media Work. Cambridge: Polity Press.
• Dyer-Witheford, Nick. 1999. Cyber-Marx: Cycles and Circuits of Struggle in High Technology Capitalism. Illinois: University of Illinois Press.
• Elefante, Phoebe Harris and Mark Deuze. 2012. “Media work, career management, and professional identity: Living labor precarity.” Northern Lights 10 (1): 9–24. https://doi.org/10.1386/nl.10.1.9_1.
• Erevelles, Sunil, Nobuyuki Fukawa, and Linda Swayne. 2016. “Big Data Consumer Analytics and the Transformation of Marketing.” Journal of Business Research 69 (2): 897-904. https://doi.org/10.1016/j.jbusres.2015.07.001.
• Fisher, Eran. 2012. “How Less Alienation Creates More Exploitation? Audience Labor on Social Network Sites.” tripleC: Communication, Capitalism & Critique, 10 (2): 171-183. https://doi.org/10.31269/triplec.v10i2.392.
• Florida, Richard. 2012. The Rise of the Creative Class, Revisited. New York: Basic Books.
• Fuchs, Christian. 2012a. “Google Capitalism.” tripleC: Communication, Capitalism & Critique, 10 (1): 42-48. https://doi.org/10.31269/triplec.v10i1.304.
• Fuchs, Christian. 2012b. “Dallas Smythe Today - The Audience Commodity, the Digital Labour Debate, Marxist Political Economy and Critical Theory. Prolegomena to a Digital Labour Theory of Value.” tripleC: Communication, Capitalism & Critique, 10(2): 692-740. DOI: https://doi.org/10.31269/triplec.v10i2.443
• Fuchs, Christian. 2014a. Digital Labor and Karl Marx. New York: Routledge.
• Fuchs, Christian. 2014b. “Digital Presumption Labor on Social Media in the Context of the Capitalist Regime of Time.” Time & Society 23 (1): 97–123. https://doi.org/10.1177/0961463X13502117.
• Fuchs, Christian. 2018. The Online Advertising Tax: A Digital Policy Innovation. London: University of Westminster Press.
• Fuchs, Christian, Kees Boersma, Anders Albrechtslund, and Marisol Sandoval. 2012. Internet and Surveillance the Challenges of Web 2.0 and Social Media. New York: Routledge.
• Fuchs, Christian and David Chandler. 2019. “Introduction Big Data Capitalism - Politics, Activism, and Theory.” In Digital Objects, Digital Subjects: Interdisciplinary Perspectives on Capitalism, Labor and Politics in the Age of Big Data, edited by David Chandler and Christian Fuchs, 1–20. London: University of Westminster Press.
• Fuchs, Christian and Sebastian Sevignani. 2013. “What is Digital Labor? What is Digital Work? What’s Their Difference? And Why Do These Questions Matter for Understanding Social Media?.” tripleC: Communication, Capitalism & Critique 11 (2): 237-293. https://doi.org/10.31269/triplec.v11i2.461.
• Fulgoni, Gian. 2013. “Big Data: Friend or Foe of Digital Advertising?.” Journal of Advertising Research 53 (4): 372-376. https://doi.org/10.2501/JAR-53-4-372-376.
• Gandini, Alessandro. 2016. “Digital Work: Self-Branding and Social Capital in the Freelance Knowledge Economy.” Marketing Theory 16 (1): 123–141. https://doi.org/10.1177/1470593115607942.
• Gill, Rosalin and Andy Pratt. 2008. “In the Social Factory? Immaterial Labor, Precariousness and Cultural Work.” Theory, Culture & Society 25 (7-8): 1-30. https://doi.org/10.1177/0263276408097794.
• Gorz, Andre. 2011. Maddesiz: Bilgi Değer ve Sermaye. Translated by Işık Ergüden. İstanbul: Ayrıntı.
• Grether, Mark. 2016. “Using Big Data for Online Advertising Without Wastage: Wishful Dream, Nightmare or Reality?.” Online Advertising 8 (2): 39-43. https://doi.org/10.1515/gfkmir-2016-0014
• Hardt, Michael. 1999. “Affective Labor.” boundary 2, 26 (2): 89-100.
• Hardt, Michael. 2008. “Introduction: Language at Work.” In Capital and Language: From the New Economy to the War Economy”, edited by Christian Marazzi, 7-11. Los Angeles: Semiotext(e).
• Hardt, Michael and Antonio Negri. 2004. Multitude: War and Democracy in the Age of Empire. New York: The Penguin Press.
• Harris, Jeff. 2014. “Big Data Needs Big Creative.” NZ Marketing Magazine, July/August 2014.
• Hesmondhalgh, David. 2010. “User-Generated Content, Free Labor and The Cultural Industries.” Ephemera 10 (3/4): 267-284.
• Hesmondhalgh, David and Sarah Baker. 2010. “A Very Complicated Version of Freedom: Conditions and Experiences of Creative Labor in Three Cultural Industries.” Poetics, 38 (1): 4-20. https://doi.org/10.1016/j.poetic.2009.10.001.
• Hesmondhalgh, David and Sarah Baker. 2011. Creative Labor: Media Work in Three Cultural Industries. Oxon: Routledge.
• Jhally, Sut. 1982. “Probing the Blindspot: The Audience Commodity.” Canadian Journal of Political and Social Theory 6 (1-2): 204-210.
• Jhally, Sut and Bill Livant. 1986. “Watching as Working: The Valorization of Audience Consciousness.” Journal of Communication 36 (3): 124-143.
• Kıyan, Zafer (2015). "Eski(meyen) Bir Tartışma: İzleyici Metası." Akdeniz Üniversitesi İletişim Fakültesi Dergisi 24: 230-255.
• Kietzmann, Jan, Jeannette Paschen and Emily Treen. 2018. “Artificial Intelligence in Advertising How Marketers Can Leverage Artificial Intelligence Along the Consumer Journey.” Journal of Advertising Research 58 (3): 263-267. https://doi.org/10.2501/JAR-2018-035.
• Kitchin, Rob. 2014. The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. London: Sage.
• Lazzarato, Maurizio. 1996. “Immaterial Labor.” In Radical Thought in Italy: A Potential Politics, edited by Paolo Virno and Michael Hardt, 133-150. Minneapolis: University of Minnesota Press.
• Lee, Pui Yuen and Kung Wong Lau. 2018. “A New Triadic Creative Role for Advertising Industry: A Study of Creatives’ Role Identity in the Rise of Social Media Advertising.” Creative Industries Journal 11 (2): 137-157. https://doi.org/10.1080/17510694.2018.1434362.
• Lee, Pui Yuen and Kung Wong Lau. 2019. “From an “Idea Generator” to a “Solution Facilitator”: A Study of the Changing Roles of Advertising Professionals in the Social Media Marketing Era.” Career Development International 24 (1): 2-17. https://doi.org/10.1108/CDI-03-2018-0080.
• Livant, Bill. 1982. “Working at Watching: A Reply to Sut Jhally.” Canadian Journal of Political and Social Theory 6 (1-2): 211-215.
• Lohr, Steve. 2015. Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else. New York: Harper-Collins.
• Lovink, Geert and Ned Rossiter. 2007. My Creativity Reader: A Critique of Creative Industries. Amsterdam: Institute of Network Cultures.
• Mager, Astrid. 2012. “Algorithmic Ideology. How Capitalist Society Shapes Search Engines. Information.” Communication & Society 15 (5): 769-787. https://doi.org/10.1080/1369118X.2012.676056.
• Malefyt, Timothy de Waal and Brian Moeran. 2003. Advertising Cultures. Oxford: Routledge.
• Manovich, Lev. 2012. “Trending: The Promises and the Challenges of Big Social Data.” In Debates in The Digital Humanities, edited by Matthew K. Gold, 460-475. Minneapolis, University of Minnesota Press.
• Manovich, Lev. 2013. Software Takes Command. New York: Bloomsbury.
• Marazzi, Christian. 2017. Sermaye ve Duygular: Çorapların Yeri. Translated by Münevver Çelik. Istanbul: Otonom.
• Marazzi, Christian. 2008. Capital and Language: From the New Economy to the War Economy. Los Angeles: Semiotext(e).
• Mayer-Schönberger, Viktor and Kenneth Cukier. 2013. Big Data: A Revolution That Will Transform How We Live, Work, and Think. New York: Houghton Mifflin Harcourt.
• Mazzarella, William. 2003. “Critical Publicity/Public Criticism: Reflections on Fieldwork in the Bombay Ad World.” In Advertising Cultures, edited by Timothy de Waal Malefyt and Brian Moeran, 55-76. Oxford: Routledge.
• McStay, Andrew. 2011. The Mood of Information: A Critique of Online Behavioural Advertising. New York: Continuum.
• Moeran, Brian. 2009. “The Organization of Creativity in Japanese Advertising Production.” Human Relations 62 (7): 963–985. https://doi.org/10.1177/0018726709335541.
• Molla, Rani. 2017. “Google Leads the World in Digital and Mobile Ad Revenue.”, Vox, July 24, 2017. https://www.vox.com/2017/7/24/16020330/google-digital-mobile-ad-revenue-world-leader-facebook-growth.
• Napoli, Philip M. 2014. “Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption.” Communication Theory 24: 340-360. https://doi.org/10.1111/comt.12039.
• Negri, Antonio. 2019. “The Appropriation of Fixed Capital: A Metaphor?.” In Digital Objects, Digital Subjects: Interdisciplinary Perspectives on Capitalism, Labor and Politics in the Age of Big Data, edited by David Chandler and Christian Fuchs, 205–214. London: University of Westminster Press.
• Neumann, Nico. 2016. “The Power of Big Data and Algorithms for Advertising and Customer Communication.” International Workshop on Big Data and Information Security (IWBIS), 13-14. https://doi.org/10.1109/IWBIS.2016.7872882.
• Örnebring, Henrik. 2010. “Technology and Journalism-as-labor: Historical Perspectives.” Journalism 11 (1): 57-74. https://doi.org/10.1177/1464884909350644 .
• Pasquinelli, Matteo. 2015. “Italian Operaismo and the Information Machine.” Theory, Culture & Society 32 (3): 49–68. https://doi.org/10.1177/0263276413514117.
• Sylvain Parasie and Eric Dagiral. 2012. “Data-driven journalism and the public good: “Computer-assisted-reporters” and “programmer-journalists” in Chicago.” New Media & Society 15 (6): 853-871. https://doi.org/10.1177/1461444812463345.
• Peters, Michael A., Rodrigo Britez and Ergin Bulut. 2009. “Cybernetic Capitalism, Informationalism and Cognitive Labor.” Geopolitics, History and International Relations 1 (2): 11- 40.
• Ross, Andrew. 2009. Nice Work If You Can Get It: Life and Labor in Precarious Times. New York: New York University Press.
• Scholz, Trebor. 2013. Digital Labor the Internet as Playground and Factory. New York: Routledge.
• Smythe, Dallas Walker. 1977. "Communications: Blindspot Of Western Marxism." Canadian Journal of Political and Society Theory 1(3): 1–28.
• Terranova, Tiziana. 2013. “Free Labor.” In Digital Labor the Internet as Playground and Factory, edited by Trebor Scholz, 33-57. New York: Routledge.
• Turow, Joseph. 2011. The Daily You: How the New Advertising Industry is Defining Your Identity and Your Worth. New Haven: Yale University Press.
• Turow, Joseph and Nick Couldry. 2018. “Media as Data Extraction: Towards a New Map of a Transformed Communications Field.” Journal of Communication 68 (2): 267-277.
• Van Dalen, Arjen. 2012. “The Algorithms Behind the Headlines: How machine-written News Redefines the Core Skills of Human Journalists.” Journalism Practice 5 (6): 648-658. http://dx.doi.org/10.1080/17512786.2012.667268.
• van Dijck, José. 2014. “Datafication, Dataism and Dataveillance: Big Data Between Scientific Paradigm and Ideology.” Surveillance & Society 12 (2): 197-208. https://doi.org/10.24908/ss.v12i2.4776.
• Vercellone, C. 2015. “Bilişsel Kapitalizm Varsayımına Dair Marksist Bir Okumanın Unsurları.” Translated by Durdu Kundakçı. In Bilişsel Kapitalizm Post-Fordist Dönemde Bilgi ve Finans, edited by Carlo Vercellone, 41-60. Istanbul: Otonom Yayıncılık.
• Virno, Paolo. 1996. “Virtuosity and Revolution: The Political Theory of Exodus.” In Radical Thought in Italy, edited by Paolo Virno and Michael Hardt, 189-212. Minneapolis: University of Minnesota Press.
• Virno, Paolo. 2004. A Grammar of Multitude: For an Analysis of Contemporary Forms of Life. Los Angeles: Semiotext(e).
• Virno, Paolo. 2007. “General Intellect.” Historical Materialism 15 (3): 3–8. https://doi.org/10.1163/156920607X225843.
• Zuboff, Shoshana. 2015. “Surveillance Capitalism.” Journal of Information Technology 30: 75–89. https://doi.org/10.1057/jit.2015.5.