极限(数学)
收入
内容(测量理论)
计算机科学
经济盈余
钥匙(锁)
期限(时间)
集合(抽象数据类型)
价值(数学)
广告
数学
经济
业务
计算机安全
物理
会计
数学分析
机器学习
福利
量子力学
程序设计语言
市场经济
标识
DOI:10.1287/isre.2022.0595
摘要
Our study is inspired by the rapid growth of consumer-to-consumer (C2C) media platforms such as TikTok. There are three key findings. First, we show that when content pieces on the platform are longer, viewers set a higher standard of match value in selecting content to view, leading to a lower click-through rate of contributed content on the platform. This finding suggests that a tight limit on content length increases click-through rate. Second, we show that extended content length on the platform first enhances platform performance but then hurts its performance, following an inverted U-shape curve. This pattern holds true for short-term performance measured by viewer traffic and total viewing time, as well as for long-term performance measured by total consumer surplus. This finding suggests the existence of an optimal content length. Third, we find that the optimal content length maximizing viewer traffic is smaller than the one maximizing total viewing time, which is further smaller than the one maximizing consumer surplus. As such, a platform that switches the strategic focus from short-term advertising revenue to long-term growth will benefit from extending the content length limit.
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