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Listening to and Visualising the Pulse of Our Cities Using Social Media and Call Data Records Read chapter Read first chapter

2015 | OriginalPaper | Chapter

De-anonymising Social Network Posts by Linking with Résumé

Authors : Yohei Ogawa, Eina Hashimoto, Masatsugu Ichino, Isao Echizen, Hiroshi Yoshiura

Published in: Business Information Systems Workshops

Publisher: Springer International Publishing

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Abstract

We have developed a system for identifying the person who posted posts of interest. It calculates the similarity between the posts of interest and the résumé of each candidate person and then identifies the résumé with the highest similarity as that of the posting person. Identification accuracy was improved by using the posts of persons other than the target person. Evaluation using 30 student volunteers who permitted the use of their résumés and sets of tweets showed that using information from tweets of other persons dramatically improved identification accuracy. Identification accuracy was 0.36 and 0.53 when the number of other persons was 4 and 9, respectively. Those that the target person can be limited in 10 % of the candidates were 0.72 both with 4 and 9 such employees.

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previous chapter Smart Privacy Visor: Bridging the Privacy Gap
next chapter A Conceptualization of Accountability as a Privacy Principle
Footnotes
1
UEC is near Chofu station on the Keio line in Tokyo.
 
2
The employer may know which of several employees owns which accounts. However, we can formulate an n–n matching problem by eliminating the known pairs.
 
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Metadata
Title
De-anonymising Social Network Posts by Linking with Résumé
Authors
Yohei Ogawa
Eina Hashimoto
Masatsugu Ichino
Isao Echizen
Hiroshi Yoshiura
Copyright Year
2015
Book
Business Information Systems Workshops

Print ISBN: 978-3-319-26761-6

Electronic ISBN: 978-3-319-26762-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-26762-3_22

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