Abstract
In this proposal of a research agenda for cultural economics, I discuss the supply-side economics of the next wave of digital technological change. I begin by arguing that digitization and internet-enabled platforms, together with automated licensing of user-generated content, have substantially lowered the costs of individual-level cultural participation. I discuss how the dependence on advertising revenues may affect this dynamic and highlight some implications for the economics of copyright. Next, I discuss circumstances under which market data, which have become much less expensive to collect at more fine-grained levels, can trigger differentiation of cultural products. Finally, I speculate about the economic implications of artificial intelligence that complements, or perhaps substitutes for human creativity with regard to cultural participation, copyright and the industrial organization of culture.
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Notes
The standard assumption in the theoretical media advertising literature is that advertising is a nuisance to consumers. Settings in which this may not hold have a different structure and different advertiser characteristics. For example, in Becker and Murphy (1993)’s model advertising can be complementary to the product that is advertised. Evidence from the magazine market (where in some segments ads can be considered informative content) implies that readers get positive utility from advertising (Kaiser and Song 2009).
See, for example, Cooper (2013).
More details on these examples can be found in Bridle’s talk, entitled “The nightmare videos of childrens’ YouTube—and what’s wrong with the internet today”, accessible at https://www.youtube.com/watch?v=v9EKV2nSU8w.
References
Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation and work. NBER working paper 24196.
Agrawal, A., Catalini, C., & Goldfarb, A. (2015). Crowdfunding: Geography, social networks, and the timing of investment decisions. Journal of Economics & Management Strategy, 24(2), 253–274.
Aguiar, L., Claussen, J., & Peukert, C. (2018). Catch me if you can: Effectiveness and consequences of online copyright enforcement. Information Systems Research, 29(3), 656–678.
Aguiar, L., & Waldfogel, J. (2017). Netflix: Global hegemon or facilitator of frictionless digital trade? Journal of Cultural Economics, 42(3), 419–445.
Aguiar, L., & Waldfogel, J. (2018a). Platforms, promotion, and product discovery: Evidence from spotify playlists. JRC digital economy working paper, 2018/04.
Aguiar, L., & Waldfogel, J. (2018b). Quality predictability and the welfare benefits from new products: Evidence from the digitization of recorded music. Journal of Political Economy, 126(2), 492–524.
Aguiar, L., & Waldfogel, J. (2018c). Streaming reaches flood stage: Does spotify stimulate or depress music sales? International Journal of Industrial Organization, 57, 278–307.
Anderson, C. (2006). The long tail: How endless choice is creating unlimited demand. London: Random House.
Anderson, S. P., & Coate, S. (2005). Market provision of broadcasting: A welfare analysis. The Review of Economic Studies, 72(4), 947–972.
Arai, Y., & Kinukawa, S. (2014). Copyright infringement as user innovation. Journal of Cultural Economics, 38(2), 131–144.
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30.
Bakhshi, H., & Throsby, D. (2014). Digital complements or substitutes? A quasi-field experiment from the royal national theatre. Journal of Cultural Economics, 38(1), 1–8.
Batikas, M., Claussen, J., & Peukert, C. (2018). Follow the money: Online piracy and self-regulation in the advertising industry. CESifo working paper 6852.
Baumol, W. J., & Bowen, W. G. (1966). Performing arts, the economic dilemma: A study of problems common to theater, opera, music and dance. Cambridge: MIT Press.
BBC. (2014). Pharrell’s hit video inspires 1,000 re-makes. http://www.bbc.com/news/blogs-trending-26889726. Accessed April 12, 2018.
Beck, J. (2007). The sales effect of word of mouth: A model for creative goods and estimates for novels. Journal of Cultural Economics, 31(1), 5–23.
Beck, J. (2012). Advance contracting, word-of-mouth, and new-product success in creative industries: A quantification for books. Journal of Media Economics, 25(2), 75–97.
Becker, G. S., & Murphy, K. M. (1993). A simple theory of advertising as a good or bad. The Quarterly Journal of Economics, 108(4), 941–964.
Bénabou, R., & Tirole, J. (2006). Incentives and prosocial behavior. American Economic Review, 96(5), 1652–1678.
Benner, M. J., & Waldfogel, J. (2016). The song remains the same? Technological change and positioning in the recorded music industry. Strategy Science, 1(3), 129–147.
Boshmaf, Y., Muslukhov, I., Beznosov, K., & Ripeanu, M. (2011). The socialbot network: When bots socialize for fame and money. Proceedings of the ACSAC, 11, 93–102.
Bostrom, N. (2003). Ethical issues in advanced artificial intelligence. NCognitive, Emotive and Ethical Aspects of Decision Making in Humans, 2, 12–17.
Bourreau, M., Gensollen, M., Moreau, F., & Waelbroeck, P. (2013). Selling less of more? The impact of digitization on record companies. Journal of Cultural Economics, 37(3), 327–346.
Bowles, S. (1998). Endogenous preferences: The cultural consequences of markets and other economic institutions. Journal of Economic Literature, 36(1), 75–111.
Bridle, J. (2018). New Dark Age: Technology and the end of the future. New York: Verso.
Brito, P., & Barros, C. (2005). Learning-by-consuming and the dynamics of the demand and prices of cultural goods. Journal of Cultural Economics, 29(2), 83–106.
Brkan, M. (2017). Ai-supported decision-making under the general data protection regulation. In Proceedings of the 16th edition of the international conference on articial intelligence and law, pp. 3–8, ACM.
Brynjolfsson, E., Hu, Y., & Smith, M. D. (2003). Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49(11), 1580–1596.
Burchardi, K., & Harle, N. (2018). The blockchain will disrupt the music business and beyond. http://www.wired.co.uk/article/blockchain-disrupting-music-mycelia. Accessed April 12, 2018.
Bureau of Labor Statistics. (2018). Occupational outlook handbook. photographers. https://www.bls.gov/ooh/media-and-communication/photographers.htm. Accessed April 12, 2018
Cameron, S. (1995). On the role of critics in the culture industry. Journal of Cultural Economics, 19(4), 321–331.
Cameron, S., & Collins, A. (1997). Transaction costs and partnerships: The case of rock bands. Journal of Economic Behavior & Organization, 32(2), 171–183.
Catalini, C., & Gans, J. S. (2017). Some simple economics of the blockchain. SSRN working paper 2874598.
Čerka, P., Grigienė, J., & Sirbikytė, G. (2017). Is it possible to grant legal personality to artificial intelligence software systems? Computer Law & Security Review, 33(5), 685–699.
Chandrashekar, A., Amat, F., Basilico, J., & Jebara, T. (2017). Artwork personalization at Netflix. https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76. Accessed July 25, 2018.
Chen, Y., & Png, I. (2003). Information goods pricing and copyright enforcement: Welfare analysis. Information Systems Research, 14(1), 107–123.
Cooper, M. (2013). Comments of the consumer federation of america. Copyright policy, creativity and innovation in the digital economy. https://www.ntia.doc.gov/files/ntia/consumer_federation_of_america_comments.pdf. Accessed April 12, 2018.
Cowen, T. (2008). Why everything has changed: The recent revolution in cultural economics. Journal of Cultural Economics, 32(4), 261–273.
Datta, H., Knox, G., & Bronnenberg, B. (2018). Changing their tune: How consumers’ adoption of online streaming affects music consumption and discovery. Marketing Science, 37(1), 5–21.
DellaVigna, S., & Kaplan, E. (2007). The fox news effect: Media bias and voting. The Quarterly Journal of Economics, 122(3), 1187–1234.
Deming, D. J. (2017). The growing importance of social skills in the labor market. The Quarterly Journal of Economics, 132(4), 1593–1640.
Easley, R. F., Guo, H., & Krämer, J. (2018). From network neutrality to data neutrality: A techno-economic framework and research agenda. Information Systems Research, 29(2), 253–272.
Ellis-Petersen, H. (2014). Taylor Swift takes a stand over Spotify music royalties. https://www.theguardian.com/music/2014/nov/04/taylor-swift-spotify-streaming-album-sales-snub. Accessed April 12, 2018.
Evrard, Y., & Krebs, A. (2017). The authenticity of the museum experience in the digital age: The case of the Louvre. Journal of Cultural Economics, 42(3), 353–363.
Frank, B., & Geppert, K. (2004). Are small recipients overlooked by sponsors? An empirical note. Journal of Cultural Economics, 28(2), 143–156.
Galasso, A., & Schankerman, M. (2015). Patents and cumulative innovation: Causal evidence from the courts. The Quarterly Journal of Economics, 130(1), 317–369.
Gambardella, A., Raasch, C., & von Hippel, E. (2017). The user innovation paradigm: Impacts on markets and welfare. Management Science, 63(5), 1450–1468.
George, L., & Peukert, C. (2016). Social networks, social communication and the demand for news. SSRN working paper 2615771.
George, L. M. (2009). National television and the market for local products: The case of beer. The Journal of Industrial Economics, 57(1), 85–111.
George, L. M., & Peukert, C. (2014). YouTube decade: Cultural convergence in recorded music. NET institute working paper, pp. 14–11.
Ghose, A., & Han, S. P. (2011). An empirical analysis of user content generation and usage behavior on the mobile internet. Management Science, 57(9), 1671–1691.
Godinho de Matos, M., Ferreira, P., & Smith, M. D. (2018). The effect of video-on-demand on piracy: Evidence from a household level randomized experiment. Management Science (forthcoming).
Google Blog. (2008). Making money on YouTube with Content ID. https://googleblog.blogspot.com/2008/08/making-money-on-youtube-with-content-id.html. Accessed April 12, 2018.
Gordon, B. R., Zettelmeyer, F., Bhargava, N., & Chapsky, D. (2017). A comparison of approaches to advertising measurement: Evidence from big field experiments at Facebook. SSRN working paper 3033144.
Greenstein, S., Peitz, M., & Valletti, T. (2016). Net neutrality: A fast lane to understanding the trade-offs. Journal of Economic Perspectives, 30(2), 127–50.
Guadamuz, A. (2017). Artificial intelligence and copyright. WIPO magazine. http://www.wipo.int/wipo_magazine/en/2017/05/article_0003.html. Accessed Apirl 12, 2018.
Guadamuz, A. (2018). Can the monkey selfie case teach us anything about copyright law? http://www.wipo.int/wipo_magazine/en/2018/01/article_0007.html. Accessed July 25, 2018.
Handke, C., Balazs, B., & Vallbé, J.-J. (2016). Going means trouble and staying makes it double: The value of licensing recorded music online. Journal of Cultural Economics, 40(3), 227–259.
Holbrook, M. B., & Addis, M. (2008). Art versus commerce in the movie industry: A two-path model of motion-picture success. Journal of Cultural Economics, 32(2), 87–107.
Hosanagar, K., Fleder, D., Lee, D., & Buja, A. (2014). Will the global village fracture into tribes? Recommender systems and their effects on consumer fragmentation. Management Science, 60(4), 805–823.
Kaiser, U., & Song, M. (2009). Do media consumers really dislike advertising? An empirical assessment of the role of advertising in print media markets. International Journal of Industrial Organization, 27(2), 292–301.
Kissmetrics. (2013). How Netflix uses analytics to select movies, create content, and make multimillion dollar decisions. https://blog.kissmetrics.com/how-netflix-uses-analytics/. Accessed April 12, 2018.
Knopper, S. (2017). How spotify playlists create hits. https://www.rollingstone.com/music/news/inside-spotifys-playlists-curators-and-fake-artists-w497702. Accessed: April 12, 2018.
Kretschmer, T., & Peukert, C. (2018). Video killed the radio star? Online music videos and recorded music sales. SSRN working paper 2425386.
Lerner, J., & Tirole, J. (2002). Some simple economics of open source. The Journal of Industrial Economics, 50(2), 197–234.
Lewis, R. A., & Rao, J. M. (2015). The unfavorable economics of measuring the returns to advertising. The Quarterly Journal of Economics, 130(4), 1941–1973.
Liu, J.-H., Zhou, T., Zhang, Z.-K., Yang, Z., Liu, C., & Li, W.-M. (2014). Promoting cold-start items in recommender systems. PLoS ONE, 9(12), e113457.
Marshall, A. (2018). Is this the world’s first good robot album? http://www.bbc.com/culture/story/20180112-is-this-the-worlds-first-good-robot-album. Accessed April 12, 2018.
Masnick, M. (2012). How ASCAP takes money from successful indie artists and gives it to Giant rock stars. https://www.techdirt.com/articles/20120323/18055718229/how-ascap-takes-money-successful-indie-artists-gives-it-to-giant-rock-stars.shtml. Accessed April 12, 2018.
Nguyen, G. D., Dejean, S., & Moreau, F. (2014). On the complementarity between online and offline music consumption: The case of free streaming. Journal of Cultural Economics, 38(4), 315–330.
O’Hagan, J., & Harvey, D. (2000). Why do companies sponsor arts events? Some evidence and a proposed classification. Journal of Cultural Economics, 24(3), 205–224.
Ordanini, A. (2006). Selection models in the music industry: How a prior independent experience may affect chart success. Journal of Cultural Economics, 30(3), 183–200.
Orme, T. (2014). The short- and long-term effectiveness of anti-piracy laws and enforcement actions. Journal of Cultural Economics, 38(4), 351–368.
Peukert, C., Claussen, J., & Kretschmer, T. (2017). Piracy and box office movie revenues: Evidence from megaupload. International Journal of Industrial Organization, 52, 188–215.
Peukert, C., & Reimers, I. (2018). Digital disintermediation and efficiency in the market for ideas. CESifo working paper 6880.
Phillips, R. J., & Strachan, I. C. (2016). Breaking up is hard to do: The resilience of the rock group as an organizational form for creating music. Journal of Cultural Economics, 40(1), 29–74.
Pitt, I. L. (2010). Superstar effects on royalty income in a performing rights organization. Journal of Cultural Economics, 34(3), 219–236.
Poort, J., & Weda, J. (2015). Elvis is returning to the building: Understanding a decline in unauthorized file sharing. Journal of Media Economics, 28(2), 63–83.
Reimers, I. (2016). Can private copyright protection be effective? Evidence from book publishing. The Journal of Law and Economics, 59(2), 411–440.
Sawers, P. (2016). YouTube strikes landmark music licensing deal in Germany after more than 7 years of blocked videos. https://venturebeat.com/2016/11/01/youtube-gema-germany-google-deal/. Accessed July 25, 2018.
Scholz, L. H. (2017). Algorithmic contracts. Stanford Technology Review, 20, 128–169.
Shiller, B., & Waldfogel, J. (2013). The challenge of revenue sharing with bundled pricing: An application to music. Economic Inquiry, 51(2), 1155–1165.
Shiller, B., Waldfogel, J., & Ryan, J. (2018). The effect of ad blocking on website traffic and quality. The RAND Journal of Economics, 49(1), 43–63.
Spotify. (2018). Who are my monthly listeners? https://artists.spotify.com/faq/stats. Accessed April 12, 2018.
Strobl, E. A., & Tucker, C. (2000). The dynamics of chart success in the U.K. pre-recorded popular music industry. Journal of Cultural Economics, 24(2), 113–134.
Sun, M., & Zhu, F. (2013). Ad revenue and content commercialization: Evidence from blogs. Management Science, 59(10), 2314–2331.
Susarla, A., Oh, J.-H., & Tan, Y. (2012). Social networks and the diffusion of user-generated content: Evidence from YouTube. Information Systems Research, 23(1), 23–41.
Sweney, M. (2017). Music industry goes to war with YouTube. https://www.theguardian.com/business/2017/apr/15/music-industry-youtube-video-streaming-royalties. Accessed July 25, 2018.
Teubner, G. (2006). Rights of non-humans? Electronic agents and animals as new actors in politics and law. Journal of Law and Society, 33(4), 497–521.
Thomes, T. P. (2013). An economic analysis of online streaming music services. Information Economics and Policy, 25(2), 81–91.
Towse, R. (2017). Economics of music publishing: Copyright and the market. Journal of Cultural Economics, 41(4), 403–420.
Vincent, J. (2018). Watch Jordan Peele use AI to make Barack Obama deliver a PSA about fake news. https://www.theverge.com/tldr/2018/4/17/17247334/ai-fake-news-video-barack-obama-jordan-peele-buzzfeed. Accessed July 25, 2018.
Waldfogel, J. (2012). Copyright protection, technological change, and the quality of new products: Evidence from recorded music since Napster. Journal of Law and Economics, 55(4), 715–740.
Waldfogel, J. (2017). How digitization has created a golden age of music, movies, books and television. Journal of Economic Perspectives, 31(3), 195–214.
Waters, R., Gilmour, D., & Mason, N. (2013). Pink Floyd: Pandora’s Internet radio royalty ripoff. https://www.usatoday.com/story/opinion/2013/06/23/pink-floyd-royalties-pandora-column/2447445/. Accessed April 12, 2018.
Wen, W., Forman, C., & Graham, S. J. (2013). The impact of intellectual property rights enforcement on open source software project success. Information Systems Research, 24(4), 1131–1146.
Williams, H. L. (2013). Intellectual property rights and innovation: Evidence from the human genome. Journal of Political Economy, 121(1), 1–27.
Wlömert, N., & Papies, D. (2016). On-demand streaming services and music industry revenues: Insights from Spotify’s market entry. International Journal of Research in Marketing, 33, 314–327.
Zeng, X., & Wei, L. (2013). Social ties and user content generation: Evidence from Flickr. Information Systems Research, 24(1), 71–87.
Zhang, X. M., & Zhu, F. (2011). Group size and incentives to contribute: A natural experiment at chinese Wikipedia. American Economic Review, 101(4), 1601–15.
Zhou, R., Khemmarat, S., Gao, L., Wan, J., & Zhang, J. (2016). How YouTube videos are discovered and its impact on video views. Multimedia Tools and Applications, 75(10), 6035–6058.
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This manuscript draws from a chapter I prepared for “Agenda for cultural economics” edited by Samuel Cameron and from some of my prior work (George and Peukert 2014; Aguiar et al. 2018; Kretschmer and Peukert 2018). I thank the editor, three anonymous reviewers, Lisa M. George and Samuel Cameron for valuable feedback and suggestions. I acknowledge support from FCT–Portuguese Foundation of Science and Technology for the Project UID/GES/00407/2013 and FCT-PTDC/EGE-OGE/27968/2017.
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Peukert, C. The next wave of digital technological change and the cultural industries. J Cult Econ 43, 189–210 (2019). https://doi.org/10.1007/s10824-018-9336-2
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DOI: https://doi.org/10.1007/s10824-018-9336-2