research-article

Linking User Accounts across Social Media Platforms

Authors:

Richard Sinnott,

Zijian WangAuthors Info & Claims

BDCAT '21: Proceedings of the 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies

Pages 18 - 27

https://doi.org/10.1145/3492324.3494157

Published: 13 January 2022 Publication History

Abstract

To improve social media analysis across diverse platforms, an effective method to evaluate the possibility that different accounts belong to the same users is required. This might be used to support fake news detection or other nefarious activities. In this paper, we present an approach to calculate the probability that different social media accounts on diverse social media platforms belong to the same user. We consider various platform aspects related to user accounts that can be used for user matching including the selected username, the avatar or profile picture, the content of platform posts and related metadata such as the writing style, account binding and use of hyperlinks across platforms. The experimental results showed that the approach is able to distinguish whether the same person has different platform accounts with an F1-score of up to 0.937.

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Cited By

Wang RZhang YWan WChen MGuizani M(2024)Distributed Rumor Source Detection via Boosted Federated LearningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.339023836:11(5986-6001)Online publication date: Nov-2024
https://doi.org/10.1109/TKDE.2024.3390238
Avram SOltean M(2022)A Comparison of Several AI Techniques for Authorship Attribution on Romanian TextsMathematics10.3390/math1023458910:23(4589)Online publication date: 3-Dec-2022
https://doi.org/10.3390/math10234589
Korepanova AAbramov M(2022)Sift Descriptor for Social Media User Accounts MatchingProceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22)10.1007/978-3-031-19620-1_14(142-151)Online publication date: 31-Oct-2022
https://doi.org/10.1007/978-3-031-19620-1_14

Index Terms

Linking User Accounts across Social Media Platforms
1. Human-centered computing
2. Information systems
  1. Information retrieval

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

BDCAT '21: Proceedings of the 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies

December 2021

133 pages

ISBN:9781450391641

DOI:10.1145/3492324

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 January 2022

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Cited By

Wang RZhang YWan WChen MGuizani M(2024)Distributed Rumor Source Detection via Boosted Federated LearningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.339023836:11(5986-6001)Online publication date: Nov-2024
https://doi.org/10.1109/TKDE.2024.3390238
Avram SOltean M(2022)A Comparison of Several AI Techniques for Authorship Attribution on Romanian TextsMathematics10.3390/math1023458910:23(4589)Online publication date: 3-Dec-2022
https://doi.org/10.3390/math10234589
Korepanova AAbramov M(2022)Sift Descriptor for Social Media User Accounts MatchingProceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22)10.1007/978-3-031-19620-1_14(142-151)Online publication date: 31-Oct-2022
https://doi.org/10.1007/978-3-031-19620-1_14

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