Using AI for Detecting Satire in Social Networks

In today's world of social media, the problem of detecting satirical messages and establishing boundaries between them and harmful content is becoming increasingly relevant. Satirical messages are often mistakenly removed as potentially dangerous, causing user dissatisfaction.

Artificial intelligence (AI) may be the solution to this problem. One of its capabilities is the use of large language models (LLM), including Generative Pretraining Transformer (GPT) models developed by OpenAI.

Existing models, such as GPT-4, can analyze, generate, and understand text in various languages, including Ukrainian. However, to detect a specific type of content, such as satire, they require appropriate training and tuning.

To use AI for satire detection, Facebook needs to take the following steps:

1. Data collection: It's necessary to collect a large amount of data, including both satirical and non-satirical messages for model training.

2. Model training: Based on this data, the GPT model can be trained to identify satirical content.

3. Validation and adaptation: After training, the model should be tested on new data that it has not previously seen.

4. Implementation: If validation results show that the model accurately identifies satire, it can be implemented for message analysis on Facebook.

It's important to remember that even the most advanced AI models can make mistakes, so they should serve as auxiliary tools, not as the final arbitrator.

In the future, the use of AI for satire detection can reduce the number of unjustifiably deleted messages and also improve the quality of content moderation.