Daniel Angus, Lauren Hayden, Abdul Karim Obeid, Xue Ying Tan, Nicholas Carah, Jean Burgess, Christine Parker, Mark Andrejevic, Robbie Fordyce, Loup Cellard, Julian Bagnara
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Computational Methods for Improving the Observability of Platform-Based Advertising
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...
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.
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