Billy Spann Source Confirmed

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

Researcher

University of Arkansas at Little Rock

faculty

7 h-index 17 pubs 118 cited

Research Areas

Misinformation and Its Impacts Network Security and Intrusion Detection Social Media and Politics Natural Language Processing Techniques Technology Adoption and User Behaviour Media Studies and Communication Complex Network Analysis Techniques

Links

ORCID Research Group

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OverviewAI-generated summary

Billy Spann's research investigates the dynamics of online information environments, focusing on the spread and impact of digital content. His work utilizes computational social science techniques to analyze various aspects of online platforms, including social networks, recommender systems, and user interactions.

Recent publications explore the application of diffusion of innovations theory to understand adoption stages in online campaigns, the use of parallel processing for transcript generation, and the analysis of bias within YouTube's recommendation algorithm. Spann also examines toxicity in online conversations, investigates bias in YouTube recommendations concerning specific content, and assesses the influence of digital activity among far-right actors across different social media platforms. His research extends to designing effective warning labels for health misinformation and identifying coordinated cyber threats to smart city networks.

Metrics

  • h-index: 7
  • Publications: 17
  • Citations: 118

Selected Publications

  • Accessibility Barriers for Blind and Visually Impaired Individuals in Cybersecurity: A Systematic Review (2025) DOI
  • Examining Toxicity’s Impact on Reddit Conversations (2024) DOI
  • Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content (2024) DOI
  • Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm (2023) DOI
  • Evaluating Role of Instagram’s Multimedia in Connective Action Leveraging Diffusion of Innovation and Cognitive Mobilization Theories: Brazilian and Peruvian Social Unrest Case Studies (2023) DOI
  • Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment (2023) DOI
  • Evaluating the Emergence of Collective Identity using Socio-Computational Techniques (2023) DOI
  • Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking (2022) DOI
  • Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns (2022) DOI
  • Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms (2022) DOI
  • Using Diffusion of Innovations Theory to Study Connective Action Campaigns (2021) DOI
  • Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks (2021) DOI

Collaborators

Researchers in the database who share publications

Nitin Agarwal University of Arkansas at Little Rock 9 shared publications Mert Can Çakmak University of Arkansas at Little Rock 6 shared publications Obianuju Okeke University of Arkansas at Little Rock 5 shared publications Esther Mead Southern Arkansas University 4 shared publications Mainuddin Shaik University of Arkansas at Little Rock 3 shared publications Ugochukwu Onyepunuka University of Arkansas at Little Rock 3 shared publications Nahiyan Bin Noor University of Arkansas for Medical Sciences 2 shared publications Philip Huff University of Arkansas at Little Rock 1 shared publication

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