Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection.

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Frontiers in Big Data Pub Date : 2025-01-22 eCollection Date: 2025-01-01 DOI:10.3389/fdata.2025.1477911
Răzvan Rughiniş, Simona-Nicoleta Vulpe, Dinu Ţurcanu, Daniel Rosner
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引用次数: 0

Abstract

This study examines privacy calculus in online child sexual abuse material (CSAM) detection across Europe, using Flash Eurobarometer 532 data. Drawing on theories of structuration and risk society, we analyze how individual agency and institutional frameworks interact in shaping privacy attitudes in high-stakes digital scenarios. Multinomial regression reveals age as a significant individual-level predictor, with younger individuals prioritizing privacy more. Country-level analysis shows Central and Eastern European nations have higher privacy concerns, reflecting distinct institutional and cultural contexts. Notably, the Digital Economy and Society Index (DESI) shows a positive association with privacy concerns in regression models when controlling for Augmented Human Development Index (AHDI) components, contrasting its negative bivariate correlation. Life expectancy emerges as the strongest country-level predictor, negatively associated with privacy concerns, suggesting deep institutional mechanisms shape privacy attitudes beyond individual factors. This dual approach reveals that both individual factors and national contexts are shaping privacy calculus in CSAM detection. The study contributes to a better understanding of privacy calculus in high-stakes scenarios, with implications for policy development in online child protection.

平衡行为:欧洲人在在线CSAM检测中的隐私计算和安全问题。
本研究使用Flash Eurobarometer 532数据,考察了整个欧洲在线儿童性虐待材料(CSAM)检测中的隐私演算。利用结构和风险社会的理论,我们分析了在高风险的数字场景中,个体机构和制度框架如何在塑造隐私态度方面相互作用。多项回归显示,年龄是重要的个人层面预测因素,年轻的个体更重视隐私。国家层面的分析显示,中欧和东欧国家有更高的隐私问题,反映出不同的制度和文化背景。值得注意的是,在控制增强人类发展指数(AHDI)成分的回归模型中,数字经济与社会指数(DESI)与隐私问题呈正相关,对比了其负双变量相关性。预期寿命是最强的国家级预测指标,与隐私问题呈负相关,这表明深层的制度机制塑造了个人因素之外的隐私态度。这种双重方法揭示了个体因素和国家背景都在影响CSAM检测中的隐私演算。这项研究有助于更好地理解高风险场景下的隐私计算,对在线儿童保护政策的制定具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
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