Skip to main content

Mapping Computer Mediated Communication Theories and Persuasive Strategies in Analysing Online Dating Romance Scam

Annadorai, Kalaivani ; Krish, Pramela ; Shaari, Azianura Hani ; Kamaluddin, Mohammad Rahim (2020) — Journal of Xidian University

View Original Source (opens in a new tab)

DOI: 10.37896/jxu14.5/070 (opens in a new tab)

Type:   Journal Article
Country:   Malaysia
Tags:   Computer Mediated Communication, Financial Fraud, Linguistic Features, Malaysia, Online Dating Romance Scam, Persuasion, Persuasive Language, Social Media, Trust, Victim Trust
What do these research terms mean?
Preprint
A manuscript shared before formal peer review and publication. Check whether a later published version is available.
Dataset
A collection of data or examples for others to inspect or reuse. It can appear in Library search and topic mapping, but RSRC does not use dataset records as evidence in Research Insights.
Dissertation or thesis
Research submitted for an academic degree. This describes its format, not its reliability.
Journal article
An article published in a journal. This label alone does not establish peer review, study quality, or how well the findings apply elsewhere.
Qualitative research
Examines experiences, meanings, or processes, often through interviews or observations. It can explain how something happens without estimating how common it is.
Quantitative research
Uses numerical measurements to describe patterns or test relationships. A relationship between two measurements does not by itself show that one causes the other.
Systematic review
Uses a planned, documented method to find and assess research addressing a question. Its conclusions still depend on the included studies and what the search covered.
Meta-analysis
Statistically combines results from multiple studies. Combining studies does not remove weaknesses in their design or make unlike populations interchangeable.
Not classified
This record has no recognized label in this filter. It does not mean the publication used no method, or that no research exists.

Definitions draw on DataCite resource types; Cochrane review methods; NLM: association and causation. RSRC’s dataset and classification rules are explained in our methodology.

Citation tools
Download RIS Download BibTeX 


              
              

            

          

        


      

      

    

        
Transparency

        
Evidence and review status

        
This page contains AI-generated content. No human content review or subject-matter-expert review is recorded.

    


    

                    

                
Source basis

                

                    Downloaded PDF
                

            

                    

                
Source updates

                

                    No notice found at last check
                

            

                    

                
AI-generated page content

                

                    Yes
                

            

                    

                
Automated checks

                

                    Passed
                

            

                    

                
Administrative approval

                

                    Yes
                

            

                    

                
Human content review

                

                    Not recorded
                

            

                    

                
Subject-matter-expert review

                

                    Not recorded
                

            

            


    

        
            How this was prepared
        
        

                            

                    
Source basis

                    

                    
RSRC downloaded and privately stored a copy of the paper for internal analysis. The PDF is not offered to viewers from this page.


                                            
    
                                                            
  • 
                                    PDF added to RSRC:
                                    
                                
    • 
                                                    

                    
                                        

                

                            

                    
Source updates

                    

                    
No incoming update notice was found in the dated Crossref response. Coverage is incomplete, particularly for corrections and expressions of concern; this is not a guarantee that the source is valid or unchanged.


                                            
    
                                                            
  • 
                                    Last source-status attempt:
                                    
                                
    • 
                                                    

                    
                                        

                

                            

                    
AI-generated page content

                    

                    
AI-generated research notes displayed on this page: Synopsis, Identified gaps, Methods, Limitations, Future work. The paper itself is not described as AI-generated.


                                            
    
                                                            
  • 
                                    Document analysis recorded:
                                    
                                
    • 
                                                            
  • 
                                    Page record updated:
                                    
                                
    • 
                                                    

                    
                                        

                

                            

                    
Automated checks

                    

                    
The current, source-bound synopsis passed the recorded versioned publication checks.


                                            
    
                                                            
  • 
                                    Checks completed:
                                    
                                
    • 
                                                    

                    
                                            

                            
                                View passed checks (3)
                            
                            
    
                                                                    
  • Length, completeness, repetition, refusal, boilerplate, and active-markup screening
    • 
                                                                    
  • Numerical claims checked against the available source text
    • 
                                                                    
  • English-source lexical grounding check
    • 
                                                            

                        

                                        

                

                            

                    
Administrative approval

                    

                    
The record is approved for public display, but a complete historical administrator action is not recorded.


                    
                                        

                

                            

                    
Human content review

                    

                    
No human review is recorded for the AI-generated content displayed on this page.


                    
                                        

                

                            

                    
Subject-matter-expert review

                    

                    
RSRC has not recorded review of this content by a subject-matter or methods expert.


                    
                                        

                

                    

    


    

        Review-state definitions

        Found a possible error?
        Request a correction.
    



    



              

        
                  

            
Synopsis

            
This theory-led article maps Social Information Processing theory, the Hyperpersonal Model, and seven persuasive elements onto online dating romance scams. It illustrates those concepts with selected scammer-victim conversations from Instagram, Viber, Google Hangouts, and Yahoo Mail collected from 2017 through 2019, examining false profiles, linguistic cues, rapid relationship escalation, and money requests. The discussion connects prolonged persuasive communication with financial loss, depression, anger, guilt, trauma, reduced self-esteem, and reluctance to seek help. It is an interpretive application of communication theories, not a systematic conversation study. The paper reports no sampling frame, number of exchanges, recruitment process, coding protocol, comparison group, or measured outcomes, so its examples cannot establish prevalence or causal effects.

          

        
                  

            
Identified Gaps

            
The paper identifies an unresolved question: why and how victims accept scammers’ illusory promises without doubt. It seeks to establish the persuasive linguistic patterns and CMC processes that explain victim trust and compliance in online dating romance scams.

          

        
                  

            
Methods

            
This is a theory-led discussion mapping Social Information Processing theory, Walther’s Hyperpersonal Model, and seven persuasive elements onto online dating romance scams. It illustrates claims with selected real-time scammer–victim conversations sourced from Instagram, Viber, Google Hangouts, and Yahoo Mail (2017–2019), examining profile claims, language, relationship escalation, and money requests.

          

        
                  

            
Limitations

            
The text does not report a sampling frame, number of conversations, recruitment process, coding procedure, or systematic analytic protocol. Its illustrative chat samples and theory-based interpretation therefore provide useful examples of persuasive strategies but do not establish how prevalent the strategies are or support generalization across all romance-scam cases.

          

        
                  

            
Future Work

            
Develop and disseminate awareness programmes describing the nature of romance scams and current offender strategies. Form additional support groups for emotionally abused victims, reduce scam-related stigma, and encourage precaution before individuals share information online.

          

              

    
    

        
Related Research Insights

        

            See how this publication connects to RSRC's living evidence syntheses through current citations and research-topic mapping.