My Research
My work has been published in Proceedings of the National Academy of Sciences, International Journal of Research in Marketing, and California Management Review. It has been covered by Forbes, The Wall Street Journal, Business Insider, The Up Next Podcast, and University of Amsterdam, AI & Business.
Journal publications
S. He, B. Hollenbeck, G. Overgoor, D. Proserpio, A. Tosyali (2022), “Detecting Fake Review Buyers Using Network Structure: Direct Evidence from Amazon,” Proceedings of the National Academy of Sciences, 119 (47).
Authors listed in alphabetical order.
DOI
SSRN
Finalist, 2024 Robert D. Buzzell MSI Best Paper Award
G. Overgoor, W. Rand, W. Van Dolen, M. Mazloom (2022), “Simplicity is not Key: Understanding Marketer-Generated Social Media Images and Consumer Liking,” International Journal of Research in Marketing, 39 (3), 639–655.
DOI
UvA DARE
G. Overgoor, M. Chica, W. Rand, A. Weishampel (2019), “Letting the Computers Take Over: Using AI to Solve Marketing Problems,” California Management Review, 61 (4), 156–185.
DOI
UvA DARE
Conference proceedings publications
W. Xie, Y. Zhu, G. Overgoor, Y. Bart, A. Lapedriza Garcia, S. Ostadabbas (2026), “AdSum: Two-Stream Audio-Visual Summarization for Automated Video Advertisement Clipping,” International Conference on Multimedia Modeling, 261–275.
DOI
arXiv
G. Overgoor, M. Mazloom, R. Rietveld, M. Worring, W. Van Dolen (2017), “A Spatio-Temporal Category Representation for Brand Popularity Prediction,” in Proceedings of the ACM International Conference on Multimedia Retrieval, Bucharest, Romania, 233–241.
ACM DL
UvA DARE
Current projects
How Consistency and Timing Shape Consumer Responses to Racial Representation in TV Advertising
Gijs Overgoor, Lijing Wang, Gokhan Yildirim, Yakov Bart, Koen Pauwels
Revise and resubmit at Journal of Marketing Research
Examines how the consistency and timing of racial representation in television advertising shape consumer responses.
SSRN
NeuroViT: A Brain-Aligned Vision Transformer for Product Image Analysis
Gijs Overgoor, Hang-Yee Chan, William Rand, Willemijn van Dolen
Under review at Journal of Marketing Research
Develops brain-aligned image measures and studies their relationship with consumer responses to product images.
SMU ScholarSSRN
Correcting Toward the Wrong Target: LLM-Annotated Regressors Under Noisy Human Benchmarks
Gijs Overgoor, Samsun Knight, Yakov Bart
In preparation
Studies the reliability, bias, and downstream validity of AI-based annotation for video-advertising research.
SMU ScholarSSRN
Public traces expose coordinated fake review campaigns on digital platforms
Gijs Overgoor, Ali Tosyali, Ethan Feldman, Anol Bhattacherjee
In preparation
Develops a public-data approach for identifying coordinated fake-review activity on e-commerce platforms.
SSRN
The Dollar Value of Better Ad Content: Tracing the Relationships Between Ad Creatives, Zapping Rates, and Ad Elasticities
Samsun Knight, Gijs Overgoor, Tsung Hsieh, Yakov Bart
Research in progress
Examines relationships among television-ad creative content, viewer zapping, and advertising elasticities.
SSRN
Shades of Representation: Auto-Detection and Perception of Skin-Tone Diversity in Visual Marketing Communication
Wen Xie, Gijs Overgoor, H.H. Lee, Z. Han
Research in progress
Examines the automated measurement and consumer perception of skin-tone diversity in visual marketing communication.
SSRN
Neurosensory Response to Advertising
Gijs Overgoor, Hang-Yee Chan
Research in progress
Develops a neuroscience-informed measure of audiovisual processing and studies its relationship with advertising outcomes.