Privacy Preservation on Social Media

2015 Fiscal Year Final Research Report

• Project/Area Number: 25540097
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: Okumura Manabu 東京工業大学, 精密工学研究所, 教授 (60214079)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: ソーシャルメディア / 個人情報秘匿 / 著者同定 / 「なりすまし」検出

Outline of Final Research Achievements

We first presented a method for identifying which blogger is the same person as a user on Twitter, using the set of documents s/he has written. Then, based on the method that we developed, we presented a method for preventing from being identified, by indicating which clues in the documents should be hided. Furthermore, to develop a method for identifying writers' personality from their documents, we first constructed a dataset that consists of a pair of users with their personality information and a set of their tweets and blogs. We then investigated whether it is possible to identify users' personality
from a collection of their documents, and presented a method for constructing a classifier of users' personality from a collection of their documents.

Free Research Field

自然言語処理