影响力营销
社会化媒体
广告
业务
执行
集合(抽象数据类型)
互联网隐私
营销
计算机科学
万维网
政治学
关系营销
市场营销管理
程序设计语言
法学
作者
Daniel Ershov,Yanting He,Stephan Seiler
摘要
We quantify the prevalence of undisclosed influencer posts on Twitter across a large set of brands based on a unique data set of over 100 million posts. We develop a novel method to detect undisclosed influencer posts and find that 96% of influencer posts are not disclosed as such. Despite stronger enforcement of disclosure regulations, the share of undisclosed posts decreases only slightly over time. Compared to disclosed posts, undisclosed posts tend to be associated with younger brands with a large Twitter following and are posted from smaller accounts that generate higher engagement per follower.
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