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Cyber victimization in hybrid space: an analysis of employment scams using natural language processing and machine learning models.

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Title: Cyber victimization in hybrid space: an analysis of employment scams using natural language processing and machine learning models.
Authors: Gong, Wenjing1, Lee, Claire Seungeun2, Li, Shoujia1, Adkison, Daylon3, Li, Na3, Wu, Ling4 wuxianhaoshen@gmail.com, Ye, Xinyue1 xinyue.ye@tamu.edu
Source: Journal of Crime & Justice. Feb2026, Vol. 49 Issue 1, p132-153. 22p.
Database: Sociology Source Ultimate
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  Availability: 0
Header DbId: sxi
DbLabel: Sociology Source Ultimate
An: 190954400
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Cyber victimization in hybrid space: an analysis of employment scams using natural language processing and machine learning models.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Crime+%26+Justice%22">Journal of Crime & Justice</searchLink>. Feb2026, Vol. 49 Issue 1, p132-153. 22p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/0735648X.2024.2448804
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 132
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      – TitleFull: Cyber victimization in hybrid space: an analysis of employment scams using natural language processing and machine learning models.
        Type: main
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            NameFull: Gong, Wenjing
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            NameFull: Lee, Claire Seungeun
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            NameFull: Li, Shoujia
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            NameFull: Adkison, Daylon
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            NameFull: Li, Na
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            NameFull: Wu, Ling
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 49
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