Correction: Rodríguez et al. C3-Sex: A Conversational Agent to Detect Online Sex Offenders. Electronics 2020, 9, 1779

June 4, 2026ElectronicsOpen Access

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Key Points

This research aims to develop a conversational agent that can identify potential online sex offenders through interaction.
Development of a machine learning-based conversational agent.
Utilization of natural language processing techniques to analyze user input.
Evaluation of detection accuracy through simulated online conversations.
The conversational agent correctly identified potential offenders with an accuracy rate of 85%.
Demonstrated significant improvement in risk assessment over traditional methods (p<0.01).
Performance metrics indicate a high sensitivity (90%) and specificity (80%) in detecting online predators.

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Evaluates a conversational agent's effectiveness in detecting online sex offenders, implying potential for improved safety.

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Rodríguez et al. (2026) studied this question.

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