Advertising and Content Creation on Digital Content Platforms
Author: 
Qitian RenAuthors Info & Claims
Abstract
This paper investigates the interplay between advertising and decentralized content creation on digital content platforms, such as YouTube, TikTok, and Instagram. Unlike traditional media, content on these platforms is produced by numerous creators competing for viewer attention. This study addresses how a platform’s advertising policy (specifically, the level of advertising embedded in organic content) and various market factors, including viewers’ satiation rates and their distaste for ads, influence decentralized content creation, exploring the ensuing implications for the platform’s advertising and revenue-sharing policy design. Using a game-theoretical model, the research reveals that the level of advertising, viewers’ satiation rates, and their distaste for ads can have a nonmonotonic impact on the equilibrium content quality. Contrary to conventional wisdom, a low level of advertising could be advantageous for platforms when viewers are inclined to consume high volumes of content, factoring in the strategic influence on content creation. Additionally, revenue sharing with creators depends on factors such as the viewers’ satiation rates and the creators’ creative costs. This study offers content platforms strategic guidance on refining their advertising and revenue-sharing policies in the creator economy.
History: Anthony Dukes served as the senior editor.
Funding: This work was supported by the National Natural Science Foundation of China [Grant 72332004].
Supplemental Material: The online appendix is available at https://doi.org/10.1287/mksc.2022.0387.
References
[1]
Amaldoss W, Du J, Shin W (2021) Media platforms’ content provision strategies and sources of profits. Marketing Sci. 40(3):527–547.
[2]
Anderson SP, Coate S (2005) Market provision of broadcasting: A welfare analysis. Rev. Econom. Stud. 72(4):947–972.
[3]
Berman R, Katona Z (2020) Curation algorithms and filter bubbles in social networks. Marketing Sci. 39(2):296–316.
[4]
Berman R, Zhao H, Zhu Y (2022) Strategic recommendation algorithms: Overselling and demarketing information designs. Preprint, submitted December 23, https://doi.org/10.2139/ssrn.4301489.
[5]
Bhargava HK (2022) The creator economy: Managing ecosystem supply, revenue sharing, and platform design. Management Sci. 68(7):5233–5251.
[6]
Chatterjee P, Zhou B (2021) Sponsored content advertising in a two-sided market. Management Sci. 67(12):7560–7574.
[7]
Dukes A, Gal-Or E (2003) Negotiations and exclusivity contracts for advertising. Marketing Sci. 22(2):222–245.
[8]
Dukes A, Liu Q, Shuai J (2022) Skippable ads: Interactive advertising on digital media platforms. Marketing Sci. 41(3):528–547.
[9]
Gabszewicz JJ, Laussel D, Sonnac N (2004) Programming and advertising competition in the broadcasting industry. J. Econom. Management Strategy 13(4):657–669.
[10]
Gal-Or E, Dukes A (2003) Minimum differentiation in commercial media markets. J. Econom. Management Strategy 12(3):291–325.
[11]
Ghosh B, Stock A (2010) Advertising effectiveness, digital video recorders, and product market competition. Marketing Sci. 29(4):639–649.
[12]
Godes D, Ofek E, Sarvary M (2009) Content vs. advertising: The impact of competition on media firm strategy. Marketing Sci. 28(1):20–35.
[13]
Iyer G, Katona Z (2016) Competing for attention in social communication markets. Management Sci. 62(8):2304–2320.
[14]
Jain S, Qian K (2021) Compensating online content producers: A theoretical analysis. Management Sci. 67(11):7075–7090.
[15]
Peitz M, Valletti TM (2008) Content and advertising in the media: Pay-TV vs. free-to-air. Internat. J. Indust. Organ. 26(4):949–965.
[16]
Prasad A, Mahajan V, Bronnenberg B (2003) Advertising vs. pay-per-view in electronic media. Internat. J. Res. Marketing 20(1):13–30.
[17]
Qian K, Jain S (2022) Digital content creation: An analysis of the impact of recommendation systems. Preprint, submitted January 4, https://doi.org/10.2139/ssrn.4311562.
[18]
Sun M, Zhu F (2013) Ad revenue and content commercialization: Evidence from blogs. Management Sci. 59(10):2314–2331.
[19]
Toubia O, Stephen AT (2013) Intrinsic vs. image-related utility in social media: Why do people contribute content to twitter? Marketing Sci. 32(3):368–392.
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Copyright © 2023, INFORMS.
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INFORMS
Linthicum, MD, United States
Publication History
Published: 06 December 2023
Accepted: 05 October 2023
Received: 26 October 2022
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