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Murayama Lab
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The lab investigates social problems using data from the web.
AboutAbout the lab
Reading social issues through web data
The Murayama Lab centers on web informatics and computational social science, and studies social problems using data from the web.
Working with web data that reflects the information of contemporary society, the lab clarifies the causes of various problems latent in society and develops methods that contribute to solving them.
Its topics include online misinformation and conspiracy theories, the analysis of social media posts, and the prediction of data that change over time.
The lab was established in April 2024 as a lab affiliated with the Department of Information Environment, Graduate School of Environment and Information Sciences, and the Computer Science EP of the Department of Mathematics, Physics, Electrical Engineering and Computer Science, Faculty of Engineering Science.
Key terms
- Computational social science
- A field that analyzes web data to study social phenomena and problems
- Broad listening
- A method of quantitatively grasping public interest and perceptions by analyzing social media posts, search queries, Q&A sites, and similar sources
- Time series data
- Data that represent the relationship between time and state. Examples include the progression of infectious diseases and the spread of social media posts
NewsLab news
A student received the Sponsor Award (Hakuhodo DY Holdings Award) at NLP2026
A student received the Student Encouragement Award at DEIM2026
Assistant Professor Murayama's co-authored paper was accepted by the Journal of Information, Communication and Ethics in Society
Assistant Professor Murayama's commentary paper was published in Cognitive Studies
A student's paper was accepted at ABCSS 2025, a workshop of IEEE BigData 2025
ResearchResearch themes
Centered on web informatics and computational social science, the lab works with web data that reflects the information of contemporary society. It takes on both basic and applied research, clarifying the causes of various problems latent in society and developing methods that help solve them.
Misinformation, conspiracy theories, and defamation online
The lab seeks to clarify how harmful information such as fake news, conspiracy theories, and defamation spreads, with the aim of detecting and curbing it. Its work includes building datasets for detecting fake news in Japanese.
*Illustrative imageBroad listening
This theme grasps public interest and perceptions from data such as social media posts and search queries. The lab examines how people react to social phenomena such as ChatGPT, anxiety about COVID-19, and election candidates.
*Illustrative imageTime series modeling
Focusing on time series data that vary over time, such as infectious diseases, factory sensor data, and the spread of social media posts, the lab aims to advance methods for predicting and analyzing them.
*Illustrative imageNatural language processing (NLP)
From the vast amounts of text on social media and websites, the lab works to understand in depth the context and intent in which a text was written, and to develop language resources. Recently it has focused on embedding techniques, bias in text, and LLM agents.
MembersFaculty
The members of the Murayama Lab are faculty, and master's and undergraduate students.As of 2026
- Assistant ProfessorTaichi Murayama
VoicesStudent voices
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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: “Web scraping y cómo vemos el revés de Internet - Taller y reflexiones” Valeriecortesv / CC BY-SA 4.0 (cropped)
- Broad listening: “Youth Tobacco Town Hall Meeting )” The U.S. Food and Drug Administration / Public domain (cropped)
- Time series modeling: “Weather Station USDA” USDA photo by Scott Bauer. Image Number K7688-7 / Public domain (cropped)
- Natural language processing (NLP): “Latin dictionary” Dr. Marcus Gossler / CC BY-SA 3.0 (cropped)
- Related lab (Mori Lab): “Library stacks of books and bookshelf” Shixart1985 / CC BY 2.0 (cropped)
- Related lab (Oya Lab (Integrated Nanodevices Lab)): “Belousov-Zhabotinsky reaction” Wiktor (Uncle Azane) / CC BY-SA 3.0 (cropped)
- Related lab (Tomii Lab): “Multimedia Engineering” Beamthanadol / CC BY-SA 4.0 (cropped)
- Related lab (Otsuka Lab (Multimodal Information Processing Lab)): “Eye-tracking setup” Naomi Nota / CC BY-SA 2.0 (cropped)
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