Discovering intimate partner violence from web search history

نویسندگان

چکیده

Intimate partner violence is a public health problem with increasing prevalence and harmful influence to both individuals society. Automated screening for intimate still an unsolved in academic research practical applications. Current detection methods use self-reporting scales in-person interviews, which are laborious, expensive, often lack precision sensitivity, making it essential develop new approaches. This paper proposes scalable lightweight ubiquitous technique, validated via ground truth data collected through self assessment survey, detecting signs of by analyzing individual-level Google search histories. Initial analysis shows that there temporal, textual, contextual differences behavior between who have/haven't experienced violence. Using these differentiating signals, we were able build model can detect relationships F1 score 0.80. Though preliminary, hope our findings pave the way AI community address this important problem.

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ژورنال

عنوان ژورنال: Smart Health

سال: 2021

ISSN: ['2352-6491', '2352-6483']

DOI: https://doi.org/10.1016/j.smhl.2020.100161