Diwash Poudel

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

UA Little Rock

Faculty Researcher

5 h-index 16 pubs 52 cited

Research Areas

Links

Research Group

OverviewAI-generated summary

Diwash Poudel's research investigates the influence of symbolic content on digital platforms, particularly focusing on how visual media shapes user interaction and algorithmic recommendations. His work examines the dynamics of platforms like TikTok and YouTube, analyzing how elements such as thumbnails, symbols, and visual signals impact engagement, emotion, trust, and information diffusion. Poudel has explored the role of these symbolic signals in areas ranging from election-related disinformation campaigns to general user behavior. His studies also extend to the application of machine learning algorithms in data analysis, including comparisons of various algorithms for datasets with imputed values, such as those related to water potability. Poudel collaborates with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak and Sayantan Bhattacharya, with whom he has co-authored multiple publications.

Metrics

h-index: 5
Publications: 16
Citations: 52

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 5 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