2022
DOI: 10.1287/mksc.2022.1361
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Implications of Revenue Models and Technology for Content Moderation Strategies

Abstract: This paper develops a theoretical model to study how the revenue model and technology of a social media platform affect its content-moderation strategy.

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Cited by 30 publications
(10 citation statements)
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References 27 publications
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“…Evidently, CLV and SLV are highly dependent on the platform’s revenue model(s) which are often more varied than in the traditional pipeline world. Revenues can be generated, for example, in the form of—or often also a combination of—transaction fees, subscription fees for consumers, access fees for suppliers, transaction fees and commissions, advertising by external parties, on-platform advertising by suppliers, or cross-sales of own products or services (Liu et al, 2022; Zhang et al, 2021).…”
Section: Consumer and Supplier Lifetime Valuementioning
confidence: 99%
“…Evidently, CLV and SLV are highly dependent on the platform’s revenue model(s) which are often more varied than in the traditional pipeline world. Revenues can be generated, for example, in the form of—or often also a combination of—transaction fees, subscription fees for consumers, access fees for suppliers, transaction fees and commissions, advertising by external parties, on-platform advertising by suppliers, or cross-sales of own products or services (Liu et al, 2022; Zhang et al, 2021).…”
Section: Consumer and Supplier Lifetime Valuementioning
confidence: 99%
“…Our article contributes to the recently emerging literature on platform design that has studied the incentives of digital platforms on various key issues of governance as a gatekeeper. They include incentives to delist low‐quality sellers (Casner, 2020) or IP‐infringing sellers (Jeon et al., 2021), to curate apps (Etro, 2021), to introduce deceptive features (Johnen and Somogyi, 2021), to choose the intensity of seller competition (Johnson et al., 2021; Teh, 2022), and to moderate content (Liu et al., 2022; Madio and Quinn, 2021) among others. Our article is most closely related to Teh (2022) and Etro (2021).…”
Section: Introductionmentioning
confidence: 99%
“…We contribute to the literature on online platforms (Caillaud and Jullien, 2003;Rochet and Tirole, 2003) and, more specifically, to the literature on platform governance as we study a platform's policy to screen out IP-infringing sellers. Recent papers on platform governance have studied the incentives of digital platforms to choose the intensity of seller competition (Teh, 2022), to bias their innovations by trading off one side's surplus against that of the other side (Choi and Jeon, 2022), to introduce deceptive features (Johnen and Somogyi, 2021), to moderate content (Liu et al, 2022;Madio and Quinn, 2021), to delist low-quality sellers (Casner, 2020), and to ensure privacy protection (Etro, 2021a). 12 In addition, this paper is related to the literature on how platforms can influence seller innovation (Belleflamme and Peitz, 2010;Jeon and Rey, 2022) and seller competition (Karle et al, 2020).…”
Section: Introductionmentioning
confidence: 99%