TY - GEN
T1 - Parental Trust in Automated Detection of Cyberpredators
AU - Brandimarte, L.
N1 - Publisher Copyright:
© 2023 MIPRO Croatian Society.
PY - 2023
Y1 - 2023
N2 - Online cyberpredators are a serious threat against children who are increasingly using social media and messaging systems to interact with strangers. At the same time, monitoring children's online activity is challenging for parents, due to the numerous platforms and ways a child can access them. Automated approaches could help detect dangerous conversations, but their adoption may prove difficult due to algorithm aversion - the tendency of humans to place less trust in recommendations by automated systems as compared to the judgment of other humans. Three online experiments investigate whether and under what conditions parents are willing to adopt automated systems for detection of cyberpredators, and when they are willing to trade potentially sensitive information about their children's online interaction, as well as individual control and agency. Factors tested for an effect on parental trust include accuracy of predictions by humans versus the algorithm, and storage and management of data in the cloud or local client. Implications for researchers and developers of automated systems of cybercrime detection are presented and discussed.
AB - Online cyberpredators are a serious threat against children who are increasingly using social media and messaging systems to interact with strangers. At the same time, monitoring children's online activity is challenging for parents, due to the numerous platforms and ways a child can access them. Automated approaches could help detect dangerous conversations, but their adoption may prove difficult due to algorithm aversion - the tendency of humans to place less trust in recommendations by automated systems as compared to the judgment of other humans. Three online experiments investigate whether and under what conditions parents are willing to adopt automated systems for detection of cyberpredators, and when they are willing to trade potentially sensitive information about their children's online interaction, as well as individual control and agency. Factors tested for an effect on parental trust include accuracy of predictions by humans versus the algorithm, and storage and management of data in the cloud or local client. Implications for researchers and developers of automated systems of cybercrime detection are presented and discussed.
KW - algorithmic aversion
KW - cyberpredators
KW - experiments
UR - http://www.scopus.com/inward/record.url?scp=85164951349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85164951349&partnerID=8YFLogxK
U2 - 10.23919/MIPRO57284.2023.10159713
DO - 10.23919/MIPRO57284.2023.10159713
M3 - Conference contribution
AN - SCOPUS:85164951349
T3 - 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings
SP - 30
EP - 35
BT - 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings
A2 - Cisic, Dragan
A2 - Vrcek, Neven
A2 - Koricic, Marko
A2 - Gradisnik, Vera
A2 - Skala, Karolj
A2 - Car, Zeljka
A2 - Cicin-Sain, Marina
A2 - Babic, Snjezana
A2 - Sruk, Vlado
A2 - Skvorc, Dejan
A2 - Jovic, Alan
A2 - Gros, Stjepan
A2 - Vrdoljak, Boris
A2 - Tijan, Edvard
A2 - Katulic, Tihomir
A2 - Petrovic, Juraj
A2 - Grbac, Tihana Galinac
A2 - Bozicevic, Lovro
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 46th ICT and Electronics Convention, MIPRO 2023
Y2 - 22 May 2023 through 26 May 2023
ER -