Abstract
Advertising platforms may restrict emojis in ad headlines due to challenges related to contextual relevance, scalability, and ad safety. This disclosure details a method for the contextual selection and placement of emojis within ad headlines, for example, by using a generative artificial intelligence model. A system, which can be executed on a computing device (e.g., a server, a smartphone, a wearable device), may ingest ad headline text and perform a deep learning analysis to understand its core meaning and context. Based on this analysis, the system can select and rank relevant emojis from a repository. The technology may also identify a suitable position for the selected emoji within the headline. This automated process is a technique to facilitate the scalable and context-aware integration of emojis into advertisements, which may influence ad appeal, emotional relevance, and communicative power, potentially impacting user engagement.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ruthazer, Alan; Jain, Parag; Gong, Haifeng; Yin, Wei; and Palmer, Thomas, "Automated Contextual Selection and Placement of Emojis in Advertising Headlines", Technical Disclosure Commons, (October 21, 2025)
https://www.tdcommons.org/dpubs_series/8753