Kênia Carolina Gonçalves will present her doctoral research on the cross-platform analysis and modeling of harmful social media content targeting children and adolescents. The talk addresses the growing exposure of young users to potentially harmful online content and the specific vulnerabilities they face due to ongoing emotional, social, and cognitive development. It will provide a comprehensive characterization of content directed at children across major social media platforms, with a focus on identifying and understanding potential harms. The presentation will introduce a proposed taxonomy for classifying harmful content aimed at children and adolescents, grounded in empirical analyses of cross-platform datasets. Finally, it will explore the use of unsupervised machine learning techniques based on dataset similarity to support the automatic detection of harmful content, with the goal of enabling early alerts for immediate risks and identifying more subtle and insidious forms of harm beyond explicit manifestations.
Where: Sala Conferenze (3rd Floor)
When: 16/01/26 11:30