Computational Methods for Improving the Observability of Platform-Based Advertising

IF 5.4 2区管理学 Q1 BUSINESS

Journal of Advertising Pub Date : 2024-09-11 DOI:10.1080/00913367.2024.2394156

Daniel Angus, Lauren Hayden, Abdul Karim Obeid, Xue Ying Tan, Nicholas Carah, Jean Burgess, Christine Parker, Mark Andrejevic, Robbie Fordyce, Loup Cellard, Julian Bagnara

引用次数: 0

Abstract

The advertising ecosystem has been progressively reshaped by computational advertising models facilitated and controlled by digital media platforms. Meta and Alphabet, two of the dominant players i...

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提高平台型广告可观察性的计算方法

由数字媒体平台推动和控制的计算广告模式已逐步重塑了广告生态系统。Meta 和 Alphabet 这两家公司在数字媒体领域占据主导地位。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Advertising Multiple-

CiteScore

11.20

自引率

10.50%

发文量

期刊介绍： The Journal of Advertising is the premier journal devoted to the development of advertising theory and its relationship to practice. The major purpose of the Journal is to provide a public forum where ideas about advertising can be expressed. Research dealing with the economic, political, social, and environmental aspects of advertising, and methodological advances in advertising research represent some of the key foci of the Journal. Other topics of interest recently covered by the Journal include the assessment of advertising effectiveness, advertising ethics, and global issues surrounding advertising.