Kunihiro Miyazaki
Social Sciences · Indiana University
Publications
17
Citations
127
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2018
Kunihiro Miyazaki studies how people behave and communicate on social media, with a focus on the spread of misinformation, toxic online behavior, and public reactions to major events. Much of the work examines anti-vaccine content, trolling, and public sentiment around topics like COVID-19 and generative AI, often analyzing large volumes of posts from platforms such as Twitter and YouTube. Some earlier work also applied data analysis and machine learning to areas like electric vehicle behavior and customer churn prediction.
Publication activity has been steady, with roughly two to four papers per year since 2020 and an average of about 1.8 per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Publisher Correction: The impact of toxic trolling comments on anti-vaccine YouTube videos
Scientific Reports · 2024
- The impact of toxic trolling comments on anti-vaccine YouTube videos
Scientific Reports · 2024
- Public perception of generative AI on Twitter: an empirical study based on occupation and usage
EPJ Data Science · 2024
- The Influence of Toxic Trolling Comments on Anti-vaccine YouTube Videos
Research Square · 2023
- Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan
2023
- Characterizing Spontaneous Ideation Contest on Social Media: Case Study on the Name Change of Facebook to Meta
2022 IEEE International Conference on Big Data (Big Data) · 2022
- Aggressive behaviour of anti-vaxxers and their toxic replies in English and Japanese
Humanities and Social Sciences Communications · 2022
- Aggressive behaviour of anti-vaxxers and their toxic replies in English and Japanese
Research Square · 2022
- 5. Quantifying Infodemic Phenomena on Social Media
The Journal of The Institute of Image Information and Television Engineers · 2022
- Characterizing the Anti-Vaxxers’ Reply Behavior on Social Media
IEEE/WIC/ACM International Conference on Web Intelligence · 2021
- Retrospective analysis of controversial topics on COVID-19 in Japan
2021
- The Strategy Behind Anti-Vaxxers' Reply Behavior on Social Media.
arXiv (Cornell University) · 2021
- Retrospective Analysis of Controversial Subtopics on COVID-19 in Japan
arXiv (Cornell University) · 2021
- Clustering to Predict Electric Vehicle Behaviors using State of Charge data
2020
- Outlier Removal for Improving the Accuracy of Electric Vehicle Behavior Prediction
2020
- Scientific Reports×2
- Research Square×2
- arXiv (Cornell University)×2
- EPJ Data Science×1
- Humanities and Social Sciences Communications×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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