Theory, Transformation, Practice and Exploration — A Review of An Introduction to Computational Advertising
DOI:
https://doi.org/10.63029/s4q7w409Keywords:
Computational advertising, Digital advertising ecosystem, Algorithmic decision‐making, Human– machine collaboration, Value networks, Algorithmic governanceAbstract
This review offers a critical examination of An Introduction to Computational Advertising (in Chinese 计算广告学概论), edited in 2024 by Duan Chunlin, which presents a foundational framework for the emerging discipline of computational advertising in the era of data intelligence. Organised into four sections—Theoretical, Transformation, Practical and Exploratory—the book systematically constructs the conceptual boundaries of computational advertising, explains its algorithmic and technological infrastructure, and situates it within contemporary digital ecosystems shaped by platform mechanisms and human–machine collaboration. It provides valuable insights into user targeting, programmatic creativity, value optimisation and effect measurement, while also addressing frontier topics such as intelligent brand communication, metaverse media and algorithmic governance. This review evaluates the book’s contributions to disciplinary development, highlights its strengths in theoretical integration and contextual analysis, and identifies limitations related to empirical validation and international applicability. It concludes by suggesting directions for future research, including algorithmic fairness, model interpretability and interdisciplinary dialogue. This review highlights the contributions of the book to the field of computational advertising and its potential to inspire future scholarship and practice.
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