J Adv
Introduction
Journal of Advertising, 53(5)
INTEREST CATEGORY: MARKETING COMMUNICATIONS
POSTING TYPE: TOCs
Themed Issue: Computational Advertising Research Methodology
Introduction to Computational Advertising Research Methodology Themed Issue
—Jisu Huh, Michelle R. Nelson & Cristel Antonia Russell [] []
Data Quality Measures for Computational Research: Ensuring Informed Decisions with Emerging Data Sources
—Edward C. Malthouse, Ewa Maslowska, Joanna Strycharz, Martin Block & Theo Araujo [] []
Computational Methods for Improving the Observability of Platform-Based Advertising
—Daniel Angus, Lauren Hayden, Abdul Karim Obeid, Xue Ying Tan, Nicholas Carah, Jean Burgess, Christine Parker, Mark Andrejevic, Robbie Fordyce, Loup Cellard & Julian Bagnara [] []
Computational Content Analysis in Advertising Research
—Mojtaba Barari & Martin Eisend [] []
Harnessing the Strengths of Computational Advertising and Experimental Methods to Enhance Research Design
—Veronica L. Thomas & Yuping Liu-Thompkins [] []
Infusing Affective Computing Models into Advertising Research on Emotions
—Taylor Jing Wen, Ching-Hua Chuan, George Anghelcev, Sela Sar, Joseph T. Yun & Yanzhen Xu [] []
The MADE Framework: Best Practices for Creating Effective Experimental Stimuli Using Generative AI
—Zeph M. C. van Berlo, Colin Campbell & Hilde A. M. Voorveld [] []
Biometric Tools in a Computational Advertising Context: An Overview of Use and Application
—Glenna L. Read, Steven Holiday, Jameson L. Hayes & Brian C. Britt [] []
Computer Vision Models for Image Analysis in Advertising Research
—Hairong Li & Nan Zhang [] []
User-Centric Behavioral Tracking: Lessons from Three Case Studies with Do-It-Yourself Computational Pipelines
—Alvin Zhou, Danaë Metaxa, Young Mie Kim & Kokil Jaidka [] []