B
Billy Spann Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
7 h-index
16 pubs
117 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Billy Spann's research investigates the intersection of social dynamics, computational methods, and digital communication. His work examines how individuals and groups adopt and interact with online platforms and information. Spann has published studies on the application of diffusion of innovations theory to social networks for understanding connective action campaigns and has explored the influence and reach of digital activity among far-right actors across various social media platforms.
Further research by Spann focuses on identifying and analyzing threats within online environments. This includes work on using computational social science techniques to detect coordinated cyber threats to smart city networks. He also investigates bias within recommender systems, specifically evaluating YouTube's algorithms concerning emotion, morality, and network dynamics, and has studied the impact of toxicity on online conversations, such as on Reddit. Additionally, Spann has explored the development of effective warning labels for health misinformation disseminated on social media. His scholarly work has resulted in an h-index of 7 with 113 total citations across 16 publications.
Metrics
- h-index: 7
- Publications: 16
- Citations: 117
Selected Publications
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Accessibility Barriers for Blind and Visually Impaired Individuals in Cybersecurity: A Systematic Review (2025)
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Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse (2024)
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Examining Toxicity’s Impact on Reddit Conversations (2024)
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Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content (2024)
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Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm (2023)
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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)
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Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment (2023)
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Evaluating the Emergence of Collective Identity using Socio-Computational Techniques (2023)
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Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking (2022)
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Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns (2022)
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Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms (2022)
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Using Diffusion of Innovations Theory to Study Connective Action Campaigns (2021)
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Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks (2021)
Collaboration Network
Top Collaborators
Nitin Agarwal
11 shared publications
In database
- Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms
Showing 5 of 11 shared publications
Mert Can Çakmak
6 shared publications
In database
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Toward Designing Effective Warning Labels for Health Misinformation on Social Media
- Characterizing Multimedia Adoption and its Role on Mobilization in Social Movements
Showing 5 of 6 shared publications
Obianuju Okeke
Cosmos Corporation (United States)
5 shared publications
In database
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Evaluating the Emergence of Collective Identity using Socio-Computational Techniques
- Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse
Esther Mead
University of Arkansas at Little Rock (US)
4 shared publications
- Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns
- Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms
- Using Diffusion of Innovations Theory to Study Connective Action Campaigns
- Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking
Nitin Agarwal
University of Arkansas at Little Rock (US)
3 shared publications
- Examining Toxicity’s Impact on Reddit Conversations
- Comparing Toxicity Across Social Media Platforms for COVID-19 Discourse
- Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking
Niloofar Yousefi
University of Arkansas at Little Rock (US)
3 shared publications
- Examining Toxicity’s Impact on Reddit Conversations
- Evaluating Role of Instagram’s Multimedia in Connective Action Leveraging Diffusion of Innovation and Cognitive Mobilization Theories: Brazilian and Peruvian Social Unrest Case Studies
- Comparing Toxicity Across Social Media Platforms for COVID-19 Discourse
Mainuddin Shaik
3 shared publications
In database
- Toward Designing Effective Warning Labels for Health Misinformation on Social Media
- Evaluating Role of Instagram’s Multimedia in Connective Action Leveraging Diffusion of Innovation and Cognitive Mobilization Theories: Brazilian and Peruvian Social Unrest Case Studies
- Characterizing Multimedia Adoption and its Role on Mobilization in Social Movements
Ugochukwu Onyepunuka
Cosmos Corporation (United States)
3 shared publications
In database
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse
Maryam Maleki
University of Arkansas at Little Rock (US)
2 shared publications
- Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns
- Using Diffusion of Innovations Theory to Study Connective Action Campaigns
Therese L. Williams
University of Central Oklahoma (US)
2 shared publications
- Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns
- Using Diffusion of Innovations Theory to Study Connective Action Campaigns
Nahiyan Bin Noor
University of Arkansas at Little Rock
2 shared publications
In database
- Examining Toxicity’s Impact on Reddit Conversations
- Comparing Toxicity Across Social Media Platforms for COVID-19 Discourse
Mustafa Alassad
University of Arkansas at Little Rock
1 shared publication
In database
- Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks
Samer Al-khateeb
Creighton University (US)
1 shared publication
- Using Computational Social Science Techniques to Identify Coordinated Cyber Threats to Smart City Networks
Erik Buchholz
University of Arkansas at Little Rock
1 shared publication
In database
- Using Diffusion of Innovations Theory to Study Connective Action Campaigns
Hillary Woodworth McNerney
Regent University (US)
1 shared publication
- Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms
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