ABSTRACT This article explores the impact of evolving conceptions of the audience by analyzing television’s “hits” as portrayed by two market information regimes: traditional Nielsen ratings and social television analytics, a supplementary big data approach to audience measurement. In doing so, this work provides insight into the types of content that perform well under a social television analytics regime based on audience engagement relative to those that succeed under the traditional ratings regime based on audience exposure. As such, this article addresses the changes and challenges fostered by an era of big data and contributes both to the management scholarship on media industries, as well as to the audience behavior literature by expanding upon the relationship between television ratings, media management, and the implications for cultural production.

中文翻译：

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重新配置“热门”：大数据时代电视节目成功的新画像

摘要 本文通过分析由两种市场信息机制所描绘的电视“热门”：传统的尼尔森收视率和社交电视分析（一种用于受众测量的补充大数据方法），探讨了不断变化的受众概念的影响。在这样做的过程中，这项工作提供了对在基于观众参与度的社交电视分析制度下表现良好的内容类型的洞察，相对于在基于观众曝光度的传统评级制度下取得成功的内容类型。因此，本文探讨了大数据时代带来的变化和挑战，并通过扩展电视收视率、媒体管理、