Automated Detection of Digital Alcohol Marketing Using SCANNER: An Integrated Deep-Learning Approach.

ABSTRACT:

Introduction

Alcohol marketing significantly influences consumption patterns, particularly among youth, heavy drinkers and women. Digital platforms have amplified this impact through targeted, immersive campaigns. However, monitoring such marketing remains a challenge due to its opaque and dynamic nature. This study introduces SCANNER Alcohol, an AI-enabled system designed to detect alcohol marketing in online content at the brand level.

Methods

SCANNER Alcohol integrates object detection (logos) and optical character recognition (text) to automatically identify 134 alcohol brands within image and video data. The system was trained using annotated datasets of brand logos and validated through standard machine learning metrics. Real-world performance was assessed using social

SUBMITTER: Martino F 

PROVIDER: S-EPMC12741508 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature