Tuja Khaund
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Walmart (United States) (2021)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Tuja Khaund's research investigates the dynamics of online discourse and the propagation of information and misinformation within digital platforms. Khaund's work includes a survey of social bots and their coordination during online campaigns, examining how automated accounts influence online discussions. Additionally, Khaund has developed a socio-computational approach to study toxicity propagation and regulation in COVID-19 discourse on YouTube, aiming to understand the mechanisms behind harmful content spread and potential interventions. The research also addresses the practical challenges and opportunities associated with data collection from platforms like Telegram. Khaund's scholarly contributions are reflected in a citation count of 180 and an h-index of 5, with six publications to date. Key collaborators include Nitin Agarwal and Mainuddin Shaik from the University of Arkansas at Little Rock, and Esther Mead from Southern Arkansas University.
Metrics
- h-index: 5
- Publications: 6
- Citations: 193
Selected Publications
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Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube (2021)
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Telegram: Data Collection, Opportunities and Challenges (2021)
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Analyzing Social and Communication Network Structures of Social Bots and Humans (2018)
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Measuring the Information-Foraging Behaviors of Social Bots Through Word Usage (2018)
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Analyzing Social Bots and Their Coordination During Natural Disasters (2018)
Collaboration Network
Top Collaborators
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Telegram: Data Collection, Opportunities and Challenges
- Telegram: Data Collection, Opportunities and Challenges
- Telegram: Data Collection, Opportunities and Challenges
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
- Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube
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