Direct and Indirect Spillovers from Content Providers' Switching: Evidence from Online Livestreaming

• 成果类型: Article
• 署名作者: Zhao, Keran; Lu, Yingda; Hu, Yuheng; Hong, Yili
• 署名单位: University of Houston System; University of Houston; University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital; University of Miami
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.2022.1160
• 发表日期: 2023
• 页码: 847-866
• 关键词: social media; network externalities; panel-data; COMPETITION; entry; platforms; DYNAMICS; MARKET; MODEL; cross

摘要

Content providers in online social media platforms, particularly livestreaming, often switch content categories. Despite its uniqueness and importance, there is a dearth of academic research examining the unintended effects of providers' content switching. We study the direct and indirect spillover effects of content switching for livestreamers-individuals who broadcast content through livestreaming platforms. We propose a framework based on theories related to viewer flow and network effects to conceptualize the direct and indirect spillover effects of entrant streamers' content switching on the incumbent streamers. Contrary to conventional wisdom, which concerns the negative effects on the incumbent's viewership, we propose two positive spillover effects that are unique to the social media platform setting: (a) the entrant streamers do not just increase competition among streamers, but they also bring their own viewers to the new category, which benefits the incumbent streamers because of a streaming flow effect (direct spillover), and (b) the entrant streamers influence incumbent streamers' viewer size by boosting category visibility through indirect network effects (indirect spillover). We also propose that the two spillover effects are contingent on the size of the entrant streamers' follower base. Based on a unique observational data set from the leading livestreaming platform (Twitch.tv), particularly with viewer flow data at the streamer-session level, we first estimate that average content switching is associated with a 1.3% net increase in direct net viewer flow from the entrant to an incumbent. And this direct spillover effect is attenuated by the size of the entrant streamers' follower base. We also estimate that average content switching is associated with a 2.6% net increase in (indirect) net viewer flow from outside categories to an incumbent streamer. And this indirect spillover effect is reinforced by the entrant streamers' follower base size. This study contributes to the emerging literature on the dynamics of content creation on social media platforms in the emerging context of livestreaming. We discuss the managerial implications of this study for streaming strategies and platform management.