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Computational Advertising Research Initiative is a multidisciplinary research group fostering and facilitating collaborations among scholars from diverse disciplines and industry partners investigating various aspects of computational advertising and its role in the society. As a collective, we want to figure out how advertising scholars and practitioners use computational advertising to contribute to society.
We define computational advertising as a broad data-driven advertising approach relying on or facilitated by enhanced computing capabilities, mathematical models/algorithms, and the technology infrastructure to create and deliver messages and monitor/survey an individual’s behaviors
This group welcomes everyone interested in computational advertising and social, political, economic, and technical questions raised by the recent transformation of advertising practice and research.
We would like to grow the CAKE community. Therefore, we are working on organizing several events in 2022 that will bring researchers and industry partners interested in computational advertising together. We are planning talks, panels, workshops, and research meetings.
September 2022 the CAKE reading group meetings have kicked of. We will meet regularly to discuss newly published research relevant to the field of computational advertising. The first meeting focused on measures in computational research. Let us know if you want to join the next meeting and have suggestions for future topics!
On September 22nd at 10:00CST CAKE will host a webinar on text analysis with prof. James W. Pennebaker, Professor Emeritus of Psychology. He is continuing to explore natural language use, group dynamics, and personality in both laboratory and real world settings. His earlier work on expressive writing found that physical health and work performance can improve by simple writing and/or talking exercises. His cross-disciplinary research is related to linguistics, clinical and cognitive psychology, communications, medicine, and computer science. Author or editor of 12 books and over 300 articles, Pennebaker has received numerous research and teaching awards and honors.. You can sign up here: sign-up page.
Contextual advertising and brand safety solutions in the ad tech landscape make untold millions of dollars through CPM fees on programmatic advertising campaigns. Yet, little is known about the companies that provide these services and the methodologies they use to classify web content. On April 3rd, 2023, 9:00am CT (16:00 CEST / 7:00am PDT), Chris will share his learnings about the space, unpack common methodologies, and apply a critical lens to the current state of the art. He’ll conclude with a brief overview of the contextual classification system he built and review its methodology. You can sign up here: sign-up page
Below, you can find some examples of interesting resources and articles for computational advertising scholars.
This special section of the Journal of Advertising on advances in computational advertising research comceptualizes computational advertising and presents future research directions with regards to 1) macro- and endogenous issues, 2) users' role, 3) automated brand-generated content, 4) consumer engagement, and 5) advertising measurement systems in relation to computational advertising.
Journal of Advertising special section
The Journal of Current Issues in Advertising (JCIRA) is calling for articles that discuss emerging issues and advances in computational advertising. This special issue will publish original, high-quality papers that examine the theoretical, methodological, ethical, or practical implications of computational advertising.
Submission deadline: November 1st.
You can find the call and more information here.
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For more information, questions or suggestion, please contact Ewa, Su Jung or Joanna at: ehm@illinois.edu, sujung.kim@usc.edu or j.strycharz@uva.nl.