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Social Media Lab
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Making information from around the world easier to collect, search, and put to use.
AboutAbout the lab
An environment where information from around the world can be put to good use.
The Social Media Lab aims to build an information environment in which all kinds of useful information from around the world can be shared and used.
This has been a great dream of researchers in databases and information retrieval for decades. With the development of computers and the Internet, it is gradually ceasing to be a mere fantasy.
As the underlying technologies, the lab studies techniques for collecting, analyzing, and extracting a wide variety of information, and techniques for flexibly searching it.
Key terms
- Crowdsourcing
- A system for dividing up small tasks and requesting them from a large, unspecified number of people over the Internet
- Social network
- The web of connections between people on social media and similar platforms
- Information retrieval
- Finding information that fits one's purpose from within a large amount of information
ResearchResearch themes
By further advancing "techniques for collecting, analyzing, and extracting a wide variety of information" and "techniques for flexibly searching it," the lab aims to realize an information environment in which all kinds of information from around the world can be effectively shared and used.
*Illustrative imageCorrecting Web Bias to Understand Society
The Web is often called a sensor of society, but information on the Web is biased. The lab develops techniques to correct that bias in order to get an accurate picture of society.
*Illustrative imageAnalyzing Social Networks
Social networks are useful as a source of fine-grained, individual-level information and real-time information. The lab works on classifying follow relationships and on discovering users who find new information sources early.
*Illustrative imageThe Best Division of Roles Between Humans and AI
Together with the University of Tsukuba and the University of Toyama, the lab is conducting research to achieve an optimal division of roles in collaboration between humans and artificial intelligence, especially between crowdsourcing and machine learning.
*Illustrative imageMaking Large Amounts of Information Easier to View
Increasingly, the bottleneck is no longer the computer's processing but the human task of looking at its output. The lab studies user interfaces that let people browse large amounts of information efficiently.
MembersFaculty
The Social Media Lab's faculty member is Professor Keishi Tajima.
- ProfessorKeishi Tajima
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: “Social network - by JClks” JClks / CC BY 2.0 (cropped)
- Correcting Web Bias to Understand Society: “Search Engine Results Page (SERP) Graphic Illustration” Muhammad Rafizeldi / CC BY 4.0 (cropped)
- Analyzing Social Networks: “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- The Best Division of Roles Between Humans and AI: “Begriffsübersicht Crowdsourcing und Crowdfunding” M. Züllig / CC BY-SA 4.0 (cropped)
- Making Large Amounts of Information Easier to View: “Grafana dashboard (2016)” Linux Screenshots from USA / CC BY 2.0 (cropped)
- Related lab (Nonlinear Dynamics and Computational Physics Group): “Mandel zoom 11 satellite double spiral” Created by Wolfgang Beyer with the program Ultra Fractal 3. / CC BY-SA 3.0 (cropped)
- Related lab (Theoretical Neuroscience and Mathematics of Nonequilibrium Systems Group): “Neuron Heart” Piku4chemia / CC BY-SA 4.0 (cropped)
- Related lab (Visual Media Lab): “NadiaPiet -ArchivalImages of AI + AIxDESIGNLimitsof Classification -2560x1404” Nadia Piet & Archival Images of AI + AIxDESIGN / CC BY 4.0 (cropped)
- Related lab (Collective Intelligence Systems Lab): “DataAppliedWeb” Marksenizer / CC BY-SA 3.0 (cropped)
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