Mayor Inna Gurung

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Graduate Research Assistant

UA Little Rock

5 h-index 12 pubs 55 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Mayor Inna Gurung's research investigates the diffusion and influence of narratives across various social media platforms. Her work explores how symbolic signals, such as visual media on Instagram, shape engagement, emotion, trust, and information diffusion. Gurung has studied the effectiveness of YouTube's recommendation system by comparing metadata with GPT-4 extracted narratives and has modeled narrative contagiousness using epidemiological theories, including stance-based approaches for polarized information.

Her recent publications focus on applying computational methods to understand information dynamics in online environments. This includes modeling the spread of competing narratives, such as those observed during Taiwan's 2024 election on TikTok, and examining the role of semiotics in information campaigns. Gurung collaborates with researchers at the University of Arkansas at Little Rock, including Nitin Agarwal, Md. Monoarul Islam Bhuiyan, Ahmed Al‐Taweel, and Emmanuel Addai, with whom she shares multiple publications.

Metrics

h-index: 5
Publications: 12
Citations: 55

Positions

Graduate Research Assistant 2023–present

University of Arkansas at Little Rock Computer and Information Science ORCID

Selected Publications

Narrative Diffusion in Social Topologies: A Comparative Study of LLM-Driven Dynamics (2026)

Studies in computational intelligence DOI OpenAlex
Competing Narratives on TikTok: Modeling Taiwan’s 2024 Election Dynamics (2026)

Studies in computational intelligence DOI OpenAlex
How Do Competing Narratives Spread? A Stance-Based Epidemiological Approach (2026)

Lecture notes in computer science DOI OpenAlex
Narrative diffusion in social networks: a survey (2025)

Social Network Analysis and Mining 4 citations DOI OpenAlex
Examining the role of semiotics in social media-driven information campaigns (2025)

Data & Policy DOI OpenAlex
Modeling polarized information diffusion with SEI(A)I(D)Z: a stance-based epidemiological approach (2025)

Social Network Analysis and Mining 8 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
Developing a Stance-induced Epidemiological Model to Examine Polarized Information Contagion (2025)

DOI OpenAlex
Are Narratives Contagious? Modeling Narrative Diffusion Using Epidemiological Theories (2025)

Lecture notes in computer science 10 citations DOI OpenAlex
Exploring Online Video Narratives and Networks Using VTracker (2023)

Lecture notes in social networks DOI OpenAlex