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Erschienen in:
Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Your Age Revealed by Facebook Picture Metadata

verfasst von : Sanaz Eidizadehakhcheloo, Bizhan Alipour Pijani, Abdessamad Imine, Michaël Rusinowitch

Erschienen in: ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium

Verlag: Springer International Publishing

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Abstract

Facebook users unknowingly reveal personal information that may help attackers to perpetrate malicious actions. In this paper, we show how sensitive age information of a given target user can be predicted from his/her online pictures. More precisely, we perform age inference attacks by leveraging picture metadata such as (i) alt-texts automatically generated by Facebook to describe the picture content, and (ii) picture reactions (comments and emojis) of other Facebook users. We investigate whether the target’s age affects other users’ reactions to his/her pictures. Our experiments show that age information can be inferred with AUC of 62% by using only alt-texts and with AUC of 89% by using combination of alt-texts and users’ reactions. Additionally, we present a detailed analysis of spearman correlation between reactions of Facebook users and age.

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Vorheriges Kapitel Grid-Based Clustering of Waze Data on a Relational Database
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Metadaten
Titel
Your Age Revealed by Facebook Picture Metadata
verfasst von
Sanaz Eidizadehakhcheloo
Bizhan Alipour Pijani
Abdessamad Imine
Michaël Rusinowitch
Copyright-Jahr
2020
Buch
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium

Print ISBN: 978-3-030-55813-0

Electronic ISBN: 978-3-030-55814-7

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-55814-7_22

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