Cited by 57Cybercrime and Law Enforcement StudiesLinguistics and Discourse AnalysisCriminal Justice and Penology

Persuasive Schemes for Financial Exploitation in Online Romance Scam: An Anatomy on Sha Zhu Pan (杀猪盘) in China

Wang, Fangzhou, Zhou, Xiaoli·2023·Victims & Offenders

Abstract

Sha Zhu Pan (杀猪盘, Pig-Butchering scam) is a new online romance scam targeting mainly Chinese-speaking individuals. While a few studies in Chinese have paid attention to Sha Zhu Pan, no study in English considers the role of scammers’ persuasive techniques in shaping the progress of fraudulent discourse. This study attempts to address this gap by analyzing the rhetorical moves of the Sha Zhu Pan scammers through using data from both victims and offenders. Victims’ testimonial data were collected from Zhihu, a prominent Chinese online platform for posting questions and answers and users’ personal experiences. This study also uses four complete police reports from law enforcement in China to provide objective evidences from offenders’ perspective in a natural setting. This study advances the model of criminal persuasion for Sha Zhu Pan developed from Gardner’s original persuasive framework. Such a model points out the type of persuasive techniques that the Sha Zhu Pan scammers frequently use during different stages of the scam. The results reflect a preliminary understanding of scammers’ behaviors, showing that the language of this financially and emotionally devastated crime indeed follows a premeditated arrangement. Moreover, such evidences can also support the proposal of related theoretical and policy implications for researchers, the government in China and other countries.

Integrity signals

Registry

Crossref · 10.1080/15564886.2022.2051109

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Existing process models vary significantly in the number and content of scenes, with some outlining only a few steps and others defining up to 16.

    “Models vary significantly in the number and content of scenes. Some outline only a few steps (e.g., Wang & Zhou, 2023), while others define up to 16 (e.g., Shaari et al., 2019).”
  • While some online romance scams last only a few days, most span several months, and some continue for years, in extreme cases up to 8 years.

    “While some scams last only a few days (Gillespie, 2017; Wang & Zhou, 2023), most span several months (Rege, 2009; Whitty, 2013), and some continue for years (Huhn, 2023)—in extreme cases, up to 8 years (Aborisade et al., 2024).”
  • Existing models vary in their focus on specific variants of online romance scams, such as the Sha Zhu Pan scam or specific cultural contexts like South Korea.

    “For example, some examine the Sha Zhu Pan scam (“pig-butchering”), which is particularly prevalent in China and Southeast Asia (Wang & Zhou, 2023), while others take a broader approach or zoom in on specific cultural contexts, such as South Korea (Choi et al., 2024).”
  • Operational structures are treated differently in existing models: some consider individual offenders, while others focus on organized networks.

    “Operational structures are also treated differently: some studies consider individual offenders (Whitty, 2013, 2015), while others focus on organized networks (Andoh-Baidoo et al., 2024; Wang & Zhou, 2023).”
  • The information collected during reconnaissance is used to tailor the scammer's profile and contact strategy to the specific characteristics of the target.

    “The collected information is then used to tailor the scammer’s profile and contact strategy to the specific characteristics of the target (Dickerson et al., 2020; Wang & Zhou, 2023).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wang, F., & Zhou, X.
Affiliations
  • Georgia State University (US)
  • Central China Normal University (CN)
Corresponding author
Wang, Fangzhou
Venue
Victims & Offenders
Published
2022-03-21
Volume
18
Issue
5
Pages
915-942
ISSN
  • 1556-4886 (ISSN-L)
  • 1556-4991
OpenAlex
W4293100857
Cited by
57
References
9
Citations by year
2026: 20 · 2025: 14 · 2024: 14 · 2023: 8 · 2022: 1
FWCI
9.16
Type
journal article
Language
en
Open access
closed
Locations
Victims & Offenders (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Cybercrime and Law Enforcement Studies
  • Social Sciences › Arts and Humanities › Philosophy › Linguistics and Discourse Analysis
  • Social Sciences › Law › Criminal Justice and Penology
Keywords
economic violence, persuasion techniques, Zhihu, police reports, victim testimony

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review