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postgraduate thesis: Social and individual factors of susceptibility to online scams
Title | Social and individual factors of susceptibility to online scams |
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Authors | |
Issue Date | 2023 |
Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
Citation | Yeo, E.. (2023). Social and individual factors of susceptibility to online scams. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. |
Abstract | This paper examines the individual factors including psychological, social, and
demographic factors in relation to the susceptibility to crime. While most of the cause of
crime is analyzed from the perspective of offenders, it is recognized that studies can also
focus on the perspective of the victims. Victims are increasing but the society is only
explaining its causation. To target prevention, the focus was put on the specific
characteristics of potential victims. A quantitative method of a 5-minute survey was
conducted and shared with the populations in Hong Kong, especially using a convenience
sampling method targeting the Koreans and locals. The sample was obtained from two main
types of groups to find out any significant differences between the groups, in the context of
Hong Kong. All in all, it was found that most of the demographic factors including age,
gender, ethnicity, education level, etc. were significantly correlated to the susceptibility to
online scams. Moreover, the high levels in agreeableness and marital status predicted
susceptibility to online scams. These findings therefore can bring up new discussion and
research for further prevention of online scams.
|
Degree | Master of Social Sciences |
Subject | Internet fraud Computer crimes |
Dept/Program | Criminology |
Persistent Identifier | http://hdl.handle.net/10722/332093 |
DC Field | Value | Language |
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dc.contributor.author | Yeo, Eun | - |
dc.date.accessioned | 2023-10-04T04:53:26Z | - |
dc.date.available | 2023-10-04T04:53:26Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Yeo, E.. (2023). Social and individual factors of susceptibility to online scams. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. | - |
dc.identifier.uri | http://hdl.handle.net/10722/332093 | - |
dc.description.abstract | This paper examines the individual factors including psychological, social, and demographic factors in relation to the susceptibility to crime. While most of the cause of crime is analyzed from the perspective of offenders, it is recognized that studies can also focus on the perspective of the victims. Victims are increasing but the society is only explaining its causation. To target prevention, the focus was put on the specific characteristics of potential victims. A quantitative method of a 5-minute survey was conducted and shared with the populations in Hong Kong, especially using a convenience sampling method targeting the Koreans and locals. The sample was obtained from two main types of groups to find out any significant differences between the groups, in the context of Hong Kong. All in all, it was found that most of the demographic factors including age, gender, ethnicity, education level, etc. were significantly correlated to the susceptibility to online scams. Moreover, the high levels in agreeableness and marital status predicted susceptibility to online scams. These findings therefore can bring up new discussion and research for further prevention of online scams. | - |
dc.language | eng | - |
dc.publisher | The University of Hong Kong (Pokfulam, Hong Kong) | - |
dc.relation.ispartof | HKU Theses Online (HKUTO) | - |
dc.rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject.lcsh | Internet fraud | - |
dc.subject.lcsh | Computer crimes | - |
dc.title | Social and individual factors of susceptibility to online scams | - |
dc.type | PG_Thesis | - |
dc.description.thesisname | Master of Social Sciences | - |
dc.description.thesislevel | Master | - |
dc.description.thesisdiscipline | Criminology | - |
dc.description.nature | published_or_final_version | - |
dc.date.hkucongregation | 2023 | - |
dc.identifier.mmsid | 991044721303403414 | - |