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Showing 1 to 4 of 4 for “"Cyberbullying detection"”.

  1. Weakly Supervised Machine Learning for Cyberbullying Detection

    … implications such as online harassment and cyberbullying. Cyberbullying is becoming a serious, large-scale problem damaging people's online lives. This phenomenon is creating a need for automated, data-driven techniques for analyzing and detecting such behaviors. In this research, we aim to …

    vt Repository record for Weakly Supervised Machine Learning for Cyberbullying Detection (opens in a new tab)

  2. Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media

    … to bully others. Nowadays, abusive behavior and cyberbullying are considered as major issues in cyberspace that can seriously affect the mental and physical health of victims. However, due to the growing number of social media users, manual moderation of online content is impractical. Available …

    houston Repository record for Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media (opens in a new tab)

  3. Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors

    … social media-based transportation event detection, and a graph convolutional network-based cyberbullying detection algorithm are the four methods proposed. Additionally, based on the sensitivity of these urban sensor data, a comprehensive discussion on ethical issues of urban computing is …

    vt Repository record for Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors (opens in a new tab)

  4. Self-training for cyberbully detection: Achieving high accuracy with a balanced multi-class dataset

    Cyberbullying has become an alarming issue in the digital era, causing significant harm to its victims. The development of automated methods for detecting cyberbullying in social media is of paramount importance to safeguard vulnerable individuals. In this thesis, we propose a robust approach based …

    regina Repository record for Self-training for cyberbully detection: Achieving high accuracy with a balanced multi-class dataset (opens in a new tab)