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Deep Neural Networks for Image-Based Dietary Assessment
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Automated Detection of Digital Alcohol Marketing Using SCANNER: An Integrated Deep-Learning Approach.

Florentine Martino1, Navoda Liyana Pathirana1, Luai Saif2

  • 1Institute for Health Transformation, Global Centre for Preventive Health and Nutrition, Faculty of Health, Deakin University, Geelong, Australia.

Drug and Alcohol Review
|December 26, 2025
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Summary
This summary is machine-generated.

A new AI system, SCANNER Alcohol, accurately detects alcohol marketing online at the brand level. This tool aids public health by monitoring digital campaigns and promoting accountability in alcohol advertising.

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Area of Science:

  • Digital Health
  • Artificial Intelligence in Public Health
  • Marketing Surveillance

Background:

  • Alcohol marketing significantly impacts consumption, especially among youth and heavy drinkers.
  • Digital platforms enable targeted and immersive alcohol advertising.
  • Monitoring online alcohol marketing is challenging due to its dynamic and opaque nature.

Purpose of the Study:

  • Introduce SCANNER Alcohol, an AI-enabled system for brand-level alcohol marketing detection.
  • Evaluate the system's accuracy and real-world performance in identifying alcohol brands online.
  • Provide a tool for public health surveillance and regulatory accountability.

Main Methods:

  • Developed SCANNER Alcohol using object detection (logos) and OCR (text) for 134 alcohol brands.
  • Trained the system on annotated datasets and validated using machine learning metrics.
  • Assessed real-world performance on social media data, comparing against manual coding.

Main Results:

  • SCANNER Alcohol achieved high accuracy: mean average precision of 0.94, recall of 0.96, and F1 score of 0.95.
  • Correctly identified 98.9% of alcohol-branded posts in social media videos with a low 6.7% false discovery rate.
  • Demonstrated strong precision and low noise in detecting alcohol marketing content.

Conclusions:

  • SCANNER Alcohol is the first system for automated, brand-level digital alcohol marketing surveillance.
  • Its high accuracy and ethical design make it a valuable public health monitoring tool.
  • Offers a scalable solution to support regulatory efforts and reduce alcohol-related harm.