Exploring Gender Disparities in Experiences of Being Hacked Using Twitter Data: A Focus on the Third-Level Digital Divide

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ern Chern Khor, Moon Choi
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引用次数: 0

Abstract

Despite millions of hacked accounts fueling cybercrime, research on the hacking experience, particularly sociodemographic aspects, remains sparse. This study examines the experience of being hacked with a focus on gender disparities from the perspective of the third-level digital divide—socially constructed gaps of digital use outcomes even among users with similar digital access and skills. Analyzing 13,731 Twitter mentions of accounts being hacked, using topic modeling and classifying the gender of 12,586 users, we showed that women reported more experiences of being hacked across all types of online services except gaming. Women were more likely to experience negative consequences of being hacked, including reputational harm, money loss, and having personalized content modified. Gender differences were also found in coping strategies. Men were more likely to use active strategies like warning others, rebuilding accounts, and deducing hackers’ origins, while women were more likely to seek help from others to recover or report experiencing hacked accounts. The findings of this study imply the need for further research into the gendered experiences of being hacked from the third-level digital divide perspective, alongside the development of interventions to mitigate harm and empower users with diverse needs to cope with being hacked.
利用Twitter数据探索被黑客攻击经历中的性别差异:关注第三级数字鸿沟
尽管数以百万计的黑客账户助长了网络犯罪,但对黑客攻击经历的研究,尤其是在社会人口统计学方面,仍然很少。本研究从第三级数字鸿沟的角度考察了被黑客攻击的经历,重点关注性别差异,即即使在具有相似数字访问和技能的用户之间,数字使用结果的社会建构差距。我们分析了13731个Twitter账户被黑客攻击的提及,使用主题建模并对12586名用户的性别进行了分类,结果显示,除了游戏,女性在所有类型的在线服务中都有更多被黑客攻击的经历。女性更有可能经历被黑客攻击的负面后果,包括声誉受损、金钱损失和个性化内容被修改。两性在应对策略上也存在差异。男性更倾向于采取主动策略,如警告他人、重建账户和推断黑客的来源,而女性更倾向于寻求他人的帮助,以恢复或报告账户被黑客入侵的经历。这项研究的结果表明,有必要从第三层数字鸿沟的角度进一步研究被黑客攻击的性别体验,同时开发干预措施,以减轻伤害,并赋予具有不同需求的用户应对被黑客攻击的能力。
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
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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