Toward the Prevention of Privacy Threats: How Can We Persuade Our Social Network Platform Users?

TY - JOUR

T1 - Toward the Prevention of Privacy Threats

T2 - How Can We Persuade Our Social Network Platform Users?

AU - Ruiz-Dolz, Ramon

AU - Alemany, Jose

AU - Heras, Stella

AU - García-Fornes, Ana

N1 - Publisher Copyright: © This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2024/8/15

Y1 - 2024/8/15

N2 - Complex decision-making problems, such as the privacy policy selection, when sharing content in online social network (OSN) platforms can significantly benefit from artificial intelligence systems. With the use of computational argumentation, it is possible to persuade human users to modify their initial decisions to avoid potential privacy threats and violations. In this paper, we present a study performed with the participation of 186 teenage users aimed at analyzing their behaviors when we try to persuade them to modify the post/publication of sensitive content on OSN platforms with different arguments. The results of the study revealed that the personality traits and the social interaction data (e.g., number of comment posts, friends, and likes) of our participants were significantly correlated with the persuasive power of the arguments. Therefore, these sets of features can be used to model OSN users and estimate the persuasive power of different arguments when used in human-computer interactions. The findings presented in this paper are helpful for personalizing decision support systems aimed at educating and preventing privacy violations on OSN platforms using arguments.

AB - Complex decision-making problems, such as the privacy policy selection, when sharing content in online social network (OSN) platforms can significantly benefit from artificial intelligence systems. With the use of computational argumentation, it is possible to persuade human users to modify their initial decisions to avoid potential privacy threats and violations. In this paper, we present a study performed with the participation of 186 teenage users aimed at analyzing their behaviors when we try to persuade them to modify the post/publication of sensitive content on OSN platforms with different arguments. The results of the study revealed that the personality traits and the social interaction data (e.g., number of comment posts, friends, and likes) of our participants were significantly correlated with the persuasive power of the arguments. Therefore, these sets of features can be used to model OSN users and estimate the persuasive power of different arguments when used in human-computer interactions. The findings presented in this paper are helpful for personalizing decision support systems aimed at educating and preventing privacy violations on OSN platforms using arguments.

KW - Argumentation

KW - Human-Computer Interaction

KW - Persuasion

KW - Privacy

KW - Social Network Platforms

UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_staging_and_production&SrcAuth=WosAPI&KeyUT=WOS:001363020200001&DestLinkType=FullRecord&DestApp=WOS_CPL

UR - https://www.scopus.com/pages/publications/85202299591

U2 - 10.22967/HCIS.2024.14.046

DO - 10.22967/HCIS.2024.14.046

M3 - Article

AN - SCOPUS:85202299591

SN - 2192-1962

VL - 14

JO - Human-Centric Computing and Information Sciences

JF - Human-Centric Computing and Information Sciences

M1 - 46

ER -