D
Diwash Poudel Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
4 h-index
15 pubs
43 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Diwash Poudel's research focuses on analyzing the dynamics of online platforms, particularly the impact of visual content and algorithmic recommendations on user interaction and information diffusion. His work has investigated how YouTube thumbnails influence user engagement and algorithmic suggestions, as well as the role of symbolic content in shaping perceptions on platforms like TikTok and Instagram. Poudel has also examined the effectiveness of symbols in anti-disinformation campaigns during elections. His research extends to computational methods, including comparisons of machine learning algorithms for data imputation, and the study of protest networks, specifically the influence of key agents. He has collaborated with several researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak and Sayantan Bhattacharya, on multiple publications.
Metrics
- h-index: 4
- Publications: 15
- Citations: 43
Selected Publications
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The Persuasive Power of Visual Elements in Strategic Communication (2026)
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Investigating Algorithmic Bias in YouTube Shorts (2025)
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Analyzing Democratic Trust Through Symbolic Communication: A Case Study of Taiwan’s Presidential Election (2025)
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Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations (2025)
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Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion (2025)
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Examining the Impact of Symbolic Content on YouTube’s Recommendation System (2025)
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Analyzing the impact of symbols in Taiwan’s election-related anti-disinformation campaign on TikTok (2024)
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Analyzing the Impact of Symbols in Taiwan’s Anti-Disinformation Campaign on TikTok during Elections (2024)
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Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics (2024)
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Ablation Studies in Protest Networks: The Role of Influential Agents in Shaping Protests (2024)
Collaboration Network
Top Collaborators
Nitin Agarwal
7 shared publications
- Analyzing the impact of symbols in Taiwan’s election-related anti-disinformation campaign on TikTok
- Examining the Impact of Symbolic Content on YouTube’s Recommendation System
- Analyzing the Impact of Symbols in Taiwan’s Anti-Disinformation Campaign on TikTok during Elections
- Ablation Studies in Protest Networks: The Role of Influential Agents in Shaping Protests
- The Amplifiers of Dissent: Examining Influence of Key Users and Content Modality on Collective Actions
Showing 5 of 7 shared publications
Mert Can Çakmak
University of Arkansas at Little Rock
7 shared publications
In database
- Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics
- Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations
- Examining the Impact of Symbolic Content on YouTube’s Recommendation System
- PRISM: Perceptual Recognition for Identifying Standout Moments in Human-Centric Keyframe Extraction
- Investigating Algorithmic Bias in YouTube Shorts
Showing 5 of 7 shared publications
Sayantan Bhattacharya
University of Arkansas at Little Rock
6 shared publications
In database
- Analyzing the impact of symbols in Taiwan’s election-related anti-disinformation campaign on TikTok
- Examining the Impact of Symbolic Content on YouTube’s Recommendation System
- Analyzing the Impact of Symbols in Taiwan’s Anti-Disinformation Campaign on TikTok during Elections
- Ablation Studies in Protest Networks: The Role of Influential Agents in Shaping Protests
- The Amplifiers of Dissent: Examining Influence of Key Users and Content Modality on Collective Actions
Showing 5 of 6 shared publications
Nitin Agarwal
5 shared publications
In database
- Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics
- Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
- PRISM: Perceptual Recognition for Identifying Standout Moments in Human-Centric Keyframe Extraction
- TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations
Dhadkan Shrestha
1 shared publication
- Comparison of machine learning algorithms in statistically imputed water potability dataset
Sulove Bhattarai
1 shared publication
- Comparison of machine learning algorithms in statistically imputed water potability dataset
Abhishek Ghimire
1 shared publication
- Comparison of machine learning algorithms in statistically imputed water potability dataset
S. Dağtaş
University of Arkansas at Little Rock
1 shared publication
In database
- Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics
Mayor Inna Gurung
University of Arkansas at Little Rock
1 shared publication
In database
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
Md. Monoarul Islam Bhuiyan
University of Arkansas at Little Rock
1 shared publication
In database
- Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion
Nitin Agarwal
International Computer Science Institute (US)
1 shared publication
- Investigating Algorithmic Bias in YouTube Shorts
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