S. Dağtaş Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

faculty

9 h-index 15 pubs 488 cited

Research Areas

Misinformation and Its Impacts Topic Modeling Social Media and Politics Media Studies and Communication Complex Network Analysis Techniques Technology Adoption and User Behaviour

Links

Lab Website

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OverviewAI-generated summary

S. Dağtaş's research investigates computational approaches to understanding user behavior and content dynamics on online platforms. Recent work includes simulating user watch-time to analyze bias in YouTube Shorts recommendations, with publications in 2024, 2025, and 2026. This research also extends to modeling the propagation of toxicity on social media platforms, specifically Reddit, using epidemiological principles. Dağtaş has a scholarly profile marked by an h-index of 9, with 15 total publications and 488 citations. Key collaborators at the University of Arkansas at Little Rock include Mert Can Çakmak, Nitin Agarwal, and Diwash Poudel, with whom Dağtaş has co-authored multiple publications.

Metrics

h-index: 9
Publications: 15
Citations: 488

Selected Publications

Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations (2026) DOI
Modeling Toxicity Propagation on Reddit Using Epidemiology (2025) DOI
Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics (2024) DOI