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Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-07

Diwash Poudel

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Also affiliated: University of Arkansas System (2025)

4 h-index 15 pubs 42 cited

Biography and Research Information

OverviewAI-generated summary

Diwash Poudel's research investigates the influence of digital media content on user engagement and algorithmic systems. His work examines how visual elements, such as YouTube thumbnails and Instagram symbols, impact user interaction, emotional responses, trust, and information diffusion. Poudel has studied the effectiveness of symbols in online campaigns, including election-related disinformation efforts on platforms like TikTok. His recent publications explore bias within algorithmic recommendation systems, particularly on YouTube Shorts, and the dynamics of topic recommendations on the platform. He has also analyzed the impact of symbolic content on YouTube's recommendation engine and user behavior beyond simple click-throughs. Poudel collaborates with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak, Sayantan Bhattacharya, and Nitin Agarwal, with whom he has co-authored multiple publications.

Metrics

  • h-index: 4
  • Publications: 15
  • Citations: 42

Selected Publications

  • Studying Emotional and Trust-building Effects of Symbolic Communication on YouTube (2026)
    Journal of the Association for Information Systems OpenAlex
  • ViMET-R: Auditing Activity-Level Bias in YouTube Shorts Recommendations (2026)
    Studies in computational intelligence DOI OpenAlex
  • The Persuasive Power of Visual Elements in Strategic Communication (2026)
    Lecture notes in computer science DOI OpenAlex
  • Investigating Algorithmic Bias in YouTube Shorts (2025)
    Lecture notes in social networks 3 citations DOI OpenAlex
  • Analyzing Democratic Trust Through Symbolic Communication: A Case Study of Taiwan’s Presidential Election (2025)
    Lecture notes in computer science DOI OpenAlex
  • Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations (2025)
    Lecture notes in social networks 5 citations DOI OpenAlex
  • Symbolic signals on Instagram: how visual media shapes engagement, emotion, trust, and diffusion (2025)
    Social Network Analysis and Mining 6 citations DOI OpenAlex
  • Examining the Impact of Symbolic Content on YouTube’s Recommendation System (2025)
    Studies in computational intelligence 4 citations DOI OpenAlex
  • Analyzing the impact of symbols in Taiwan’s election-related anti-disinformation campaign on TikTok (2024)
    Social Network Analysis and Mining 9 citations DOI OpenAlex
  • Analyzing the Impact of Symbols in Taiwan’s Anti-Disinformation Campaign on TikTok during Elections (2024)
    Research Square 3 citations DOI OpenAlex
  • Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics (2024)
    Lecture notes in computer science 9 citations DOI OpenAlex
  • Ablation Studies in Protest Networks: The Role of Influential Agents in Shaping Protests (2024)
    Lecture notes in computer science 1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

12 Collaborators 3 Institutions 1 Country

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