Shadi Shajari
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Researcher
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Shadi Shajari's research focuses on the analysis and detection of anomalous behaviors within online discussion platforms, particularly YouTube. Their work involves developing frameworks and methodologies to characterize commenter actions and engagement patterns, aiming to safeguard online discourse. Shajari has published multiple papers on this subject, with recent work exploring network-centric approaches for anomaly detection and semantic consistency in channel content to understand YouTube channel behavior more comprehensively. Collaborations include Nitin Agarwal, Mustafa Alassad, and Ridwan Amure from the University of Arkansas at Little Rock, with whom Shajari has co-authored several publications. The researcher's h-index is 5, with a total of 8 publications and 53 citations.
Metrics
- h-index: 5
- Publications: 8
- Citations: 54
Selected Publications
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Characterizing YouTube Channels Through Semantic Consistency Across Content Features (2026)
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Uncovering Channel-Level Behaviors via Multimodal Characterization in YouTube Content (2026)
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Developing a Commenter Behavior-Based Framework for Characterizing YouTube Channels (2026)
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Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior (2025)
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Detecting and Measuring Anomalous Behaviors on YouTube (2025)
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Safeguarding youtube discussions: a framework for detecting anomalous commenter and engagement behaviors (2025)
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Developing a network-centric approach for anomalous behavior detection on youtube (2025)
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Characterizing Suspicious Commenter Behaviors (2023)
Collaboration Network
Top Collaborators
- Characterizing Suspicious Commenter Behaviors
- Developing a network-centric approach for anomalous behavior detection on youtube
- Safeguarding youtube discussions: a framework for detecting anomalous commenter and engagement behaviors
- Detecting and Measuring Anomalous Behaviors on YouTube
- Detecting and Measuring Anomalous Behaviors on YouTube
- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior
- Uncovering Channel-Level Behaviors via Multimodal Characterization in YouTube Content
- Characterizing YouTube Channels Through Semantic Consistency Across Content Features
- Characterizing Suspicious Commenter Behaviors
- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior
- Developing a Commenter Behavior-Based Framework for Characterizing YouTube Channels
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