S. Dağtaş Data-verified

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

Researcher

UA Little Rock

Last publication 2026 Last refreshed 2026-05-02

faculty

9 h-index 15 pubs 490 cited

Research Areas

Links

Lab Website

OverviewAI-generated summary

S. Dağtaş investigates user behavior and bias within online media platforms, with a particular focus on YouTube Shorts and Reddit. Their recent work includes simulating user watch-time to analyze recommendation algorithms and modeling the propagation of toxicity on social media platforms like Reddit, drawing parallels to epidemiological patterns. Dağtaş collaborates with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak, Nitin Agarwal, and Diwash Poudel, on shared publications.

With an h-index of 9 and 489 total citations across 15 publications, Dağtaş's research contributes to the understanding of digital media dynamics and their societal impacts. Their most recent publication is from 2026, indicating ongoing activity in the field.

Metrics

h-index: 9
Publications: 15
Citations: 490

Selected Publications

Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations (2026)

DOI OpenAlex
Modeling Toxicity Propagation on Reddit Using Epidemiology (2025)

1 citation DOI OpenAlex
Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics (2024)

9 citations DOI OpenAlex