MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641055416 A) filed by Sri Padmavati Mahila Visvavidyalayam Spmvv on April 30, 2026, for A System And Method For Detection, Analysis, And Prevention Of Cyberbullying In Social Media Platforms Using Intelligent Data Processing.
Inventors include Dr. T. Tripura Sundari; Prof. T. Sita Kumari; Dr. K. Sravani; and K R Lalitha.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses a computer-implemented system and method for sequential detection and structured representation of digital harassment patterns. The system addresses limitations in existing cyberbullying analysis tools by moving beyond isolated content evaluation to temporal and behavioral sequence analysis. It comprises an incident recording module that captures multi-modal digital interactions with timestamps and metadata, a sequence generation engine that organizes events chronologically, a pattern detection engine that identifies repetition, escalation, and coordinated group behavior, a severity determination module that evaluates cumulative impact based on frequency and temporal proximity, and a structured output generation module that converts analyzed data into machine-readable formats such as timelines or tabular representations. The system enables transformation of unstructured digital communication data into structured interaction sequences, facilitating improved interpretation of harassment dynamics over time. This approach enhances detection accuracy, supports evidentiary organization, and provides scalable analytical capability for identifying evolving digital harassment behavior across platforms.
Disclaimer: Curated by HT Syndication.
