Valuing Influence with Social Learning

References

• Alizamir S, de Véricourt F, Wang S (2020) Warning against recurring risks: An information design approach. Management Sci. 66(10):4612–4629.Link, Google Scholar
• Alonso R, Câmara O (2016a) Persuading voters. Amer. Econom. Rev. 106(11):3590–3605.Crossref, Google Scholar
• Alonso R, Câmara O (2016b) Political disagreement and information in elections. Games Econom. Behav. 100:390–412.Crossref, Google Scholar
• Arieli I, Babichenko Y (2019) Private Bayesian persuasion. J. Econom. Theory 182:185–217.Crossref, Google Scholar
• Banerjee AV (1992) A simple model of herd behavior. Quart. J. Econom. 107(3):797–817.Crossref, Google Scholar
• Barvinok A (2002) A Course in Convexity, vol. 54 (American Mathematical Society, Providence, RI).Crossref, Google Scholar
• Bäuerle N (2002) Optimal control of queueing networks: An approach via fluid models. Adv. Appl. Probab. 34(2):313–328.Crossref, Google Scholar
• Bennett R (2024) Top 10 richest YouTubers in 2024. Accessed June 8, 2024, https://filmora.wondershare.com/vlogger/top-wealthiest-youtubers.html.Google Scholar
• Besbes O, Scarsini M (2018) On information distortions in online ratings. Oper. Res. 66(3):597–610.Link, Google Scholar
• Bikhchandani S, Hirshleifer D, Welch I (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. J. Political Econom. 100(5):992–1026.Crossref, Google Scholar
• Blackwell D (1953) Equivalent comparisons of experiments. Ann. Math. Statist. 24(2):265–272.Crossref, Google Scholar
• Blackwell DA, Girshick MA (1979) Theory of Games and Statistical Decisions (Courier Corporation, Chelmsford, MA).Google Scholar
• Boyaci T, Chakraborty S, Gurkan H (2024) Persuading skeptics and fans in the presence of additional information. Production Oper. Management 33(5):1142–1154.Crossref, Google Scholar
• Candogan O (2019) Persuasion in networks: Public signals and cores. Oper. Res. 70(4):2264–2298.Google Scholar
• Candogan O, Drakopoulos K (2020) Optimal signaling of content accuracy: Engagement vs. misinformation. Oper. Res. 68(2):497–515.Abstract, Google Scholar
• Crawford VP, Sobel J (1982) Strategic information transmission. Econometrica 50(6):1431–1451.Crossref, Google Scholar
• Debo L, Secomandi N (2018) Revenue management for products with unknown quality and observable price and sales history. Working paper, Tepper School of Business, Carnegie Mellon University, Pittsburgh.Google Scholar
• Dellarocas C (2006) Strategic manipulation of internet opinion forums: Implications for consumers and firms. Management Sci. 52(10):1577–1593.Link, Google Scholar
• Fainmesser IP, Galeotti A (2021) The market for online influence. Amer. Econom. J. Microeconomics 13(4):332–372.Crossref, Google Scholar
• Friedman A (1964) Partial Differential Equations of Parabolic Type (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
• Gagliese J (2022) The rise of the influencer: Predictions for ways they’ll change the world. Forbes (July 8), https://www.forbes.com/sites/theyec/2022/07/08/the-rise-of-the-influencer-predictions-for-ways-theyll-change-the-world/.Google Scholar
• Geyser W (2024) Influencer marketing benchmark report. Accessed June 8, 2024. https://influencermarketinghub.com/influencer-marketing-benchmark-report/.Google Scholar
• Glynn PW (1990) Diffusion approximations. Heyman DP, Sobel MJ, eds. Handbooks in Operations Research and Management Science (Elsevier, Amsterdam), 145–198.Google Scholar
• Hamami T (2019) Network effects, bargaining power, and product review bias: Theory and evidence. J. Indust. Econom. 67(2):372–407.Crossref, Google Scholar
• Hitchcock J (2025) Influencer pricing: The cost of influencers in 2025. Accessed April 28, 2025, https://www.shopify.com/uk/blog/influencer-pricing.Google Scholar
• Ifrach B, Maglaras C, Scarsini M, Zseleva A (2019) Bayesian social learning from consumer reviews. Oper. Res. 67(5):1209–1221.Link, Google Scholar
• Influencer Marketing Hub (2024) Influencer marketing benchmark report 2024. Accessed August 1, 2024, https://influencermarketinghub.com/influencer-marketing-benchmark-report/.Google Scholar
• Jalloul M, Kostami V (2022) Advertising by recruiting influencers. HEC Paris Research Paper No. MOSI-2022-1454, HEC Paris, Paris.Google Scholar
• Kamenica E, Gentzkow M (2011) Bayesian persuasion. Amer. Econom. Rev. 101(6):2590–2615.Crossref, Google Scholar
• Kozinets RV, De Valck K, Wojnicki AC, Wilner SJS (2010) Networked narratives: Understanding word-of-mouth marketing in online communities. J. Marketing 74(2):71–89.Crossref, Google Scholar
• Küçükgül C, Özer Ö, Wang S (2022) Engineering social learning: Information design of time-locked sales campaigns for online platforms. Management Sci. 68(7):4899–4918.Link, Google Scholar
• Lin X, Liu C (2024) Credible persuasion. J. Political Econom. 132(7):2228–2273.Crossref, Google Scholar
• Maglaras C, Scarsini M, Shin D, Vaccari S (2022) Product ranking in the presence of social learning. Oper. Res. 71(4):1136–1153.Link, Google Scholar
• Mayzlin D (2006) Promotional chat on the internet. Marketing Sci. 25(2):155–163.Link, Google Scholar
• Mostagir M, Siderius J (2023) Strategic reviews. Management Sci. 69(2):904–921.Link, Google Scholar
• Papanastasiou Y, Savva N (2016) Dynamic pricing in the presence of social learning and strategic consumers. Management Sci. 63(4):919–939.Link, Google Scholar
• Pomatto L, Strack P, Tamuz O (2023) The cost of information: The case of constant marginal costs. Amer. Econom. Rev. 113(5):1360–1393.Crossref, Google Scholar
• Rayo L, Segal I (2010) Optimal information disclosure. J. Political Econom. 118(5):949–987.Crossref, Google Scholar
• Royden HL, Fitzpatrick P (1988) Real Analysis (Macmillan, New York).Google Scholar
• Zhao M, Xie M (1996) On maximum likelihood estimation for a general non-homogeneous Poisson process. Scandinavian J. Statist. 23(4):597–607.Google Scholar
• Zychlinski N (2023) Applications of fluid models in service operations management. Queueing Systems 103(1):161–185.Crossref, Google Scholar