Digital Stylometry: Linking Profiles Across Social Networks
Name
socinfo_sv2015.pdf
Description
Main article
Size
340.37 KB
Format
Adobe PDF
Checksum (MD5)
cdf69eaf9c39e3b20d0190b9402bd65a
Author(s)
Vosoughi, Soroush
Zhou, Helen L.
Roy, Deb K
Date Issued
2015
Journal
Social Informatics
Publisher
Springer-Verlag
Citation
Vosoughi, Soroush, Helen Zhou, and Deb Roy. “Digital Stylometry: Linking Profiles Across Social Networks.” Social Informatics (2015): 164–177.
Version
Author's final manuscript
Abstract
There is an ever growing number of users with accounts on multiple social media and networking sites. Consequently, there is increasing interest in matching user accounts and profiles across different social networks in order to create aggregate profiles of users. In this paper, we present models for Digital Stylometry, which is a method for matching users through stylometry inspired techniques. We experimented with linguistic, temporal, and combined temporal-linguistic models for matching user accounts, using standard and novel techniques. Using publicly available data, our best model, a combined temporal-linguistic one, was able to correctly match the accounts of 31% of 5,612 distinct users across Twitter and Facebook.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/978-3-319-27433-1_12
