Shadi Shajari Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Little Rock
unknown
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Biography and Research Information
OverviewAI-generated summary
Shadi Shajari's research focuses on the detection and characterization of anomalous commenter behaviors on online platforms, particularly YouTube. Their work investigates how to identify suspicious activity and develop frameworks for safeguarding online discussions. Shajari has published research on methods for detecting and measuring anomalous behaviors, employing network-centric approaches and graph-based techniques like Graph2Vec to analyze commenter patterns. This research also extends to developing commenter behavior-based frameworks for characterizing YouTube channels, aiming to provide a deeper understanding of the dynamics within these online communities. Shajari has collaborated with researchers Mustafa Alassad, Nitin Agarwal, and Ridwan Amure on multiple publications.
Metrics
- h-index: 3
- Publications: 8
- Citations: 34
Selected Publications
- Developing a Commenter Behavior-Based Framework for Characterizing YouTube Channels (2026) DOI
- Navigating the Anomalies: A Comprehensive Analysis of YouTube Channel Behavior (2025) DOI
- Detecting and Measuring Anomalous Behaviors on YouTube (2025) DOI
- Safeguarding youtube discussions: a framework for detecting anomalous commenter and engagement behaviors (2025) DOI
- Developing a network-centric approach for anomalous behavior detection on youtube (2025) DOI
- Characterizing Suspicious Commenter Behaviors (2023) DOI
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