User profiling has existed in the social media since their inception and has supported most of their business model. Even if users do not actively share the information about themselves on the social media (so-called passive users), they can still be profiled based on their location and who they follow. In this paper, we present a system that leverages the linking of followed (popular) Twitter users to DBpedia, and the information therein contained, to help users concealing their digital footprint. Specifically, our approach helps a passive Twitter user to stay private by proposing a list of additional profiles to follow that would confuse the social media’s inference pipeline and prevent it from inferring useful information about that passive user and his interests.

Concealing interests of passive users in social media

Nechaev, Yaroslav;Corcoglioniti, Francesco;Giuliano, Claudio
2017-01-01

Abstract

User profiling has existed in the social media since their inception and has supported most of their business model. Even if users do not actively share the information about themselves on the social media (so-called passive users), they can still be profiled based on their location and who they follow. In this paper, we present a system that leverages the linking of followed (popular) Twitter users to DBpedia, and the information therein contained, to help users concealing their digital footprint. Specifically, our approach helps a passive Twitter user to stay private by proposing a list of additional profiles to follow that would confuse the social media’s inference pipeline and prevent it from inferring useful information about that passive user and his interests.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/315425
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