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Sasahara Lab
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The lab uses big data to understand human society, working in computational social science.
AboutAbout the lab
Understanding human society through computational social science
Sasahara Lab analyzes large-scale data left behind by human behavior, using the methods of computational social science.
Computational social science is a social science for the digital age, made possible by the use of big data and computers.
The lab investigates the principles and technologies for maintaining the diversity and reliability of information on social media.
It aims to connect the knowledge gained to value creation and social innovation.
Key terms
- Computational social science
- A discipline that uses big data and computers to study the behavior of individuals, groups, and society quantitatively and at large scale
- Big data
- Huge volumes and varieties of data that accumulate as people's behavior is automatically recorded
- Social media
- Online platforms such as social networking services, where users connect by posting and sharing information with one another
NewsLab news
A student was selected for the Akira Ishii Prize (Student Award) at the Japan Association for Computational Social Science annual conference
Prof. Sasahara supervised the Japanese translation of the book "Immunology of Fake News," which has been published
A student received the Student Award from the Japan Society for Research Policy and Innovation Management
A student received a Sponsor Award at the Japan Association for Computational Social Science annual conference
ResearchResearch themes
The lab analyzes and models large-scale data on human behavior using the methods of computational social science, and conducts research that puts the findings into practice for value creation and social innovation. In particular, it investigates principles and technologies for dynamically maintaining the diversity and reliability of information in social networks.
*Illustrative imageHow disinformation spreads
Online disinformation, deepfakes, and aggressive comments create division and anxiety. The lab analyzes posts on social media and video sites to study how these spread and how showing warnings changes sharing.
*Illustrative imageThe mindset behind choosing alternative meat
Whether meat substitutes catch on depends on how people feel. Through surveys and data analysis, the lab examines whether moral beliefs increase willingness to buy alternative meat, and how alternative proteins are discussed in the media.
*Illustrative imageDialogue and expression in virtual spaces
In online meetings and virtual spaces, nonverbal cues such as gestures and gaze are harder to convey. The lab tests how well virtual roundtable meetings compensate for this, and explores the potential of theater performed in the metaverse.
MembersFaculty
The members of Sasahara Lab are faculty, postdoctoral researchers, researchers, graduate students, and technical support staff.As of 2026
- ProfessorKazutoshi SasaharaPublications ↗
- Project LecturerGenta ToyaPublications ↗
- Project Assistant ProfessorRyo FujiePublications ↗
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
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On a 4-point scale, ● marks where students' answers fall
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “SocialNetworkAnalysis” Martin Grandjean / CC BY-SA 4.0 (cropped)
- How disinformation spreads: “Fake News Image” Shonnmharen / CC BY-SA 4.0 (cropped)
- The mindset behind choosing alternative meat: “Plant-based Cheeseburger - Depot Cinema and Restaurant” Andy Li / CC0 (cropped)
- Dialogue and expression in virtual spaces: “VR headset with smartphone and stereoscopy image” Bert Niehaus / CC BY-SA 4.0 (cropped)
- Related lab (松本研究室): “Transmission towers at sunset in East Texas” Matthew T Rader / CC BY-SA 4.0 (cropped)
- Related lab (本條研究室): “Apus apus flock flying” Keta / CC BY-SA 2.5 (cropped)
- Related lab (鳥谷研究室): “Greater Tokyo rail network” FML / CC BY-SA 3.0 (cropped)
- Related lab (仙石研究室): “Autoklavovatelne-fermentory” Karel Schmiedberger ml / Public domain (cropped)
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