"Humanized Robots": A Proposition of Categories to Understand Virtual Influencers
DOI:
https://doi.org/10.3127/ajis.v25i0.3223Keywords:
virtual influencers, digital marketing, exploratory study, artificial intelligence, robots, virtualizationAbstract
Worldwide investments in influencer marketing are growing and could reach US$ 101 billion in 2020. But how can the brands shield themselves from scandals and other limitations of human influencers? The solution for many companies has involved robots. Virtual influencers (VI) are virtual robots that can emulate human appearance and behaviour and have become a trend in marketing. This study analyses how non-human influencers affect marketing communication by adopting two methods that are unpublished in the investigation of this phenomenon: a systematic literature review and netnography in conjunction with in-depth interviews with specialists resulting in the study identifying five categories (two of which are unpublished and unexplored in the literature) that can facilitate management decisions and also future studies around VIs: anthropomorphism/humanization, attractiveness, authenticity, scalability, and controllability. This study also identified more convergences than divergences between the virtual and the real and between humans and non-humans, generating challenges, opportunities, and guidelines for future research and for assisting management in making decisions concerning digital marketing.
References
Alexander, J. (2019). Virtual creators aren’t AI — but AI is coming for them. The Verge. theverge.com/2019/1/30/18200509/ai-virtual-creators-lil-miquela-instagram-artificial-intelligence
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48, 79-95. https://doi.org/10.1007/s11747-019-00695-1
Aran-Ramspott, S., Fedele, M., & Tarragó, A. (2018). Youtubers’ social functions and their influence on pre-adolescence. Media Education Research Journal, 26(57), 71-79. https://doi.org/10.3916/C57-2018-07
Archer, C., & Harrigan, P. (2016). Prosumers with passion: Learning what motivates bloggers as digital influencer stakeholders. PRism, 13(1), 1-14. www.prismjournal.org/ uploads/1/2/5/6/125661607/v13-no1-a4.pdf
Ashman, R., Patterson, A., & Brown, S. (2018). ‘Don't forget to like, share and subscribe’: Digital autopreneurs in a neoliberal world. Journal of Business Research, 92, 474-483. https://doi.org/10.1016/j.jbusres.2018.07.055
Association of National Advertisers. (2018). Survey report: How ANA members are using influencer marketing. https://www.ana.net/getfile/26389
Belk, R., Fisher, E., & Kozinets, R. Qualitative consumer and marketing research. London: Sage, 2013.
Boerman, S. C. (2020). The effects of the standardized instagram disclosure for micro- and mesoinfluencers. Computers in Human Behavior, 103, 199-207. https://doi.org/10.1016/ j.chb.2019.09.015
Bond, B. (2016). Following Your “Friend”: Social Media and the Strength of Adolescents' Parasocial Relationships with Media Personae. Cyberpsychology, Behavior, and Social Networking, 19(11), 656-660. https://doi.org/10.1089/cyber.2016.0355
California. (2018). Senate Bill No 1001. An act to add Chapter 6 (commencing with Section 17940) to Part 3 of Division 7 of the Business and Professions Code, relating to bots. Approved September 28. California Legislative Information. http://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=201720180SB1001
Carvalho, G. J. (2018). Social networks and digital influences: A description of the influences in the digital consumer behavior. PMKT – Brazilian Journal of Marketing Research, Opinion and Media, 11(3), 277-288. http://www.revistapmkt.com.br/Portals/9/Revistas/ v11n3/engb/4Social%20networks%20and%20digital%20influences%20A%20description%20of%20 the%20influences%20in%20the%20digital%20consumer%20behavior.pdf
Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2020). Influencers on Instagram: Antecedents and consequences of opinion leadership. Journal of Business Research, 217, 510-519. https://doi.org/10.1016/j.jbusres.2018.07.005
Clifford, D., & Verdoodt, V. (2017). Integrative advertising: the marketing 'dark side' or merely the emperor's new clothes? European Journal of Law and Technology, 8(1), 1-43. researchgate.net/publication/316101961
Cotter, K. (2018). Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram. New Media & Society, 21(4), 895-913. https://doi.org/10.1177/1461444818815684
Creswell, J., & Miller, D. (2000). Determining Validity in Qualitative Inquiry. Theory into Practice, 39(3), 124-130. https://doi.org/10.1207/s15430421tip3903_2
Dobreva, D., Grinnell, D., & Innes, M. (2019). Prophets and Loss: How “Soft Facts” on Social Media Influenced the Brexit Campaign and Social Reactions to the Murder of Jo Cox MP. Policy & Internet, 12(2), 144-164. https://doi.org/10.1002/poi3.203
Drenten, J., Gurrieri, L., & Tyler, M. (2020). Sexualized labour in digital culture: Instagram influencers, porn chic and the monetization of attention. Gender Work Organ, 27(1), 41-66. https://doi.org/10.1111/gwao.12354
Edgerton, E., Reiney, E., Mueller, S., Reicherter, B., Curtis, K., Waties, S., & Limber, S. P. (2016). Identifying New Strategies to Assess and Promote Online Health Communication and Social Media Outreach. Health Promotion Practice, 17(3), 448-456. www.jstor.org/stable/10.2307/26734036
Emma, R. (2018). The Rise of the Virtual Influencers. Influencer. https://blog.influencer.uk/the-rise-of-virtual-influencers-1fdb0c13907f
Flanagan, J. C. (1954). The Critical Incident Technique. Psychological Bulletin, 51(4). https://www.apa.org/pubs/databases/psycinfo/cit-article.pdf
Gillpatrick, T. (2019). The Digital Transformation of Marketing: Impact on Marketing Practice & Markets. Economics, 7(2), 139-156. https://doi.org/10.2478/eoik-2019-0023
Gillpatrick, T., Blunck, E., & Boğa, S. (2019). Understanding the role of consumer behavior in forecasting the impact of industry 4.0 and the wave of digital disruption driving innovation in retailing. Dubrovnik International Economic Meeting, 4(1), 165-176. hrcak.srce.hr/228708
GlobalWebIndex. (2019). Global Web Index Social Media Report. https://www.globalwebindex.com/reports?page_num=10
Goanta, C., (2018). How Technology Disrupts Private Law: An Exploratory Study of California and Switzerland as Innovative Jurisdictions. Stanford-Vienna Transatlantic Technology Law Forum, 38, 1-53. https://law.stanford.edu/publications/no-38-how-technology-disrupts-private-law-an-exploratory-study-of-california-and-switzerland-as-innovative-jurisdictions/
Golder, S. A., & Macy, M. W. (2014). Digital Footprints: Opportunities and Challenges for Online Social Research. Annual Review of Sociology, 40, 129-152. www.jstor.org/stable/ 43049529
Graziano, D. C., & Perez, G. (2018). The Impact of The Internet on the E-Commerce Organizations. Journal of Financial Innovation, 1-13. www.researchgate.net/publication/ 330015305
Gross, J., & Wangenheim, F. V. (2018). The Big Four of Influencer Marketing. A Typology of Influencers. Marketing Review St. Gallen, 2, 30-38. https://papers.ssrn.com/sol3/ papers.cfm?abstract_id=3230687
Guerreiro, C., Viegas, M., & Guerreiro, M. (2019). Social networks and Digital influencers: their role in customer decision journey in tourism. Journal of Spatial and Organizational Dynamics, 7(3), 240-260. www.jsod-cieo.net/journal/index.php/jsod/article/view/198
Hasan, H., & Linger, H. (2020). Letting the public in: dialectic tensions when local governments move beyond e-government to e-democracy. Australasian Journal of Information Systems. Vol. 24, https://doi.org/10.3127/ajis.v24i0.1897
Horton, D., & Wohl, R. R. (1956). Mass Communication and Para-Social Interaction, Psychiatry, 19(3), 215-229. https://doi.org/10.1080/00332747.1956.11023049
Hutchinson, J. (2019). Digital first personality: Automation and influence within evolving media ecologies. Convergence, 26(5-6), 1284-1300. https://doi.org/10.1177/ 1354856519858921
HypeAuditor. (2019). The top Instagram virtual influencers in 2019. https://hypeauditor.com/blog/the-top-instagram-virtual-influencers-in-2019/
Jiménez-Castillo, D., & Sánchez-Fernández, R. (2019). The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention. International Journal of Information Management, 49, 366-376. https://doi.org/10.1016/j.ijinfomgt.2019.07.009
Jorge, A., Marôpo, L., & Nunes, T. (2018). ‘I am not being sponsored to say this’: a teen youtuber and her audience negotiate branded content. Observatorio. Special issue on The co-option of audiences in the attention economy. https://doi.org/10.15847/ obsOBS0001382
Kádeková, Z., & Holienčinová, M. (2018). Influencer marketing as a modern phenomenon creating a new frontier of virtual opportunities. Communication Today, 9(2), 90-104. www.researchgate.net/publication/329247338
Kautz, K., Bjerknes, G., Fisher, J., & Jensen, T. (2020). Applying Complex Adaptive Systems Theory to Understand Distributed Participatory Design in Contemporary, Crowdsourced Information Systems Development. Australasian Journal of Information Systems. Vol. 24, Selected Papers from ACIS 2018. https://doi.org/10.3127/ajis.v24i0.2225
Keegan, R. (2020). A.I. Robot Cast in Lead Role of $70M Sci-Fi Film. The Hollywood Reporter. www.hollywoodreporter.com/news/ai-robot-cast-lead-role-70m-sci-fi-film-1300068
Kozinets, R. V. (1998, November 9). How Online Communities Are Growing in Power. Financial Times, 291–96.
Kozinets, R. V. (1999). E-tribalized marketing: the strategic implications of virtual communities of consumption. European Management Journal, 17(3), 252-264. https://doi.org/10.1016/S0263-2373(99)00004-3
Kozinets, R. V. (2002). The Field Behind the Screen: Using Netnography for Marketing Research in Online Communities. Journal of Marketing Research, 39(1), 61–72. https://doi.org/10.1509/jmkr.39.1.61.18935
Kozinets, R. V. (2015). Netnography: Redefined. London: Sage.
Kozinets, R. V. (2019). YouTube utopianism: Social media profanation and the clicktivism of capitalist critique. Journal of Business Research, 98, 65-81. https://doi.org/10.1016/j.jbusres.2019.01.019
Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. S. (2010). Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities. Journal of Marketing, 74(2), 71–89. https://www.researchgate.net/publication/255600900
Kozinets, R. V., & Nocker, M. (2018). Netnography: Online ethnography for a digital age of organization research. In A. Bryman, & D. A. Buchanan (Eds.). Unconventional methodology in organization and management research (pp. 127–146). Cambridge, UK: Oxford University Press.
Kuksov, D., & Liao, C. (2019). Opinion Leaders and Product Variety. Marketing Science, 38(5), 812-834. https://doi.org/10.1287/mksc.2019.1179
MacInnis, D. J., Morwitz, V. G., Botti, S., Hoffman, D. L., Kozinets, R. V., Lehmann, D. R., Lynch, J. G., & Pechmann, C. (2020). Creating Boundary-Breaking, Marketing-Relevant Consumer Research. Journal of Marketing, 84(2), 1–23. https://doi.org/10.1177/0022242919889876
Maden, D. (2018). The Role of Digital Influencers in the Diffusion of New Products. Akdeniz Üniversitesi İletişim Fakültesi Dergisi, 30, 119-141. https://doi.org/10.31123/akil.465923
Marôpo, L., Jorge A., & Tomaz, R. (2020). “I felt like I was really talking to you!”: intimacy and trust among teen vloggers and followers in Portugal and Brazil, Journal of Children and Media, 14(1), 22-37. https://doi.org/10.1080/17482798.2019.1699589
McLuhan, M. & Fiore, Q. (1967). The Medium is the Massage: An Inventory of Effects. New York: Random House.
Metro. (2020). Pesquisa aponta Evaristo Costa como maior ‘influencer' do Brasil (Research appoints Evaristo Costa as the greatest 'influencer' in Brazil). Metrojornal. metrojornal.com.br/entretenimento/2020/02/17/evaristo-costa-maior-influencer-brasil.html
Microsoft. (2016). Learning from Tay’s introduction. Peter Lee (Corporate Vice President). Official Microsoft Blog. https://blogs.microsoft.com/blog/2016/03/25/learning-tays-introduction/#sm.00000gjdpwwcfcus11t6oo6dw79gw
Microsoft. (2020). Microsoft announces new supercomputer, lays out vision for future AI work. Jennifer Langston. The Official Microsoft Blog. https://blogs.microsoft.com/ ai/openai-azure-supercomputer/
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative Data Analysis: A Methods Sourcebook. Thousand Oaks, CA: SAGE, 2014. 381 pp.
Miller, N. E., & Dollard, J. (1941). Social Learning and Imitation. New Haven: Yale University Press. https://doi.org/10.1177/00027162422200019
Miranda, S., Cunha, P., & Duarte, M. (2019). An integrated model of factors affecting consumer attitudes and intentions towards youtuber‑generated product content. Review of Managerial Science. https://doi.org/10.1007/s11846-019-00370-3
Moura, B. S. (2019). Relationship Marketing in Social Networks for Small Businesses. PMKT – Brazilian Journal of Marketing Research, Opinion and Media, 12(1), 46-62. revistapmkt.com.br/Portals/9/Revistas/v12n1/en-gb/5%20-%20Relationship%20Marketing%20in%20Social%20Networks%20for%20Small%20Businesses.pdf
Moustakas, E., Lamba, N., Mahmoud, D., & Ranganathan, C. (2020). Blurring lines between fiction and reality: Perspectives of experts on marketing effectiveness of virtual influencers. Social Media Conference IEEE. International Journal on Cyber Situational Awareness. https://doi.org/10.22619%2FIJCSA
Nietzsche, F. (1908). Human, all too human – A book for free spirits (Alexander Harvey, Ed. & Trans.). Charles H. Kerr & Company. (Original work published 1878). https://www.gutenberg.org/files/38145/38145-h/38145-h.htm
Orlova, A., Nogueira, R. & Chimenti, P. (2020). The Present and Future of the Space Sector: A Business Ecosystem Approach. Space Policy, 52, 1-8. https://doi.org/10.1016/j.spacepol.2020.101374
Robinson, B. (2020). Towards an Ontology and Ethics of Virtual Influencers. Australasian Journal of Information Systems, 24, 1-8. https://doi.org/10.3127/ajis.v24i0.2807
Silva, M. J. B., Farias, S. A., Grigg, M. K., & Barbosa, M. L. A. (2020). Online Engagement and the Role of Digital Influencers in Product Endorsement on Instagram. Journal of Relationship Marketing, 19(2), 133-163. https://doi.org/10.1080/15332667.2019.1664872
SNPT. (2018). https://www.getsnapppt.com/blog/can-artificial-influencers-replace-humans
Torres, P., Augusto, M., & Matos, M. (2019). Antecedents and outcomes of digital influencer endorsement: An exploratory study. Psychology & Marketing, 36(12), 1267-1276. https://doi.org/10.1002/mar.21274
Verdoodt, V., & Feci, N. (2019). Digital influencers and vlogging advertising: Calling for awareness, guidance and enforcement. Larcier. Auteurs en Media, 1, 11-22. https://limo.libis.be/primoexplore/fulldisplay?docid=LIRIAS2339326&context=L&vid=Lirias&search_scope=Lirias&tab=default_tab&lang=en_US&fromSitemap=1
Vinerean, S. (2017). Importance of Strategic Social Media Marketing. Expert Journal of Marketing, 5(1), 28-35. http://marketing.expertjournals.com/23446773-504/ #:~:text=Nowadays%2C%20social%20media%20has%20developed,to%20instigate%20customer%2Dto%2Dcustomer
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Antonio Batista da Silva Oliveira, Paula Chimenti
This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.
AJIS publishes open-access articles distributed under the terms of a Creative Commons Non-Commercial and Attribution License which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and AJIS are credited. All other rights including granting permissions beyond those in the above license remain the property of the author(s).