{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T21:28:10Z","timestamp":1786656490424,"version":"build-2736575974"},"reference-count":57,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Telecommunications fraud causes financial and psychological harm, yet how individuals who experienced fraud retrospectively describe progression from initial trust to emotional escalation and reduced behavioral control remains unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to develop a stage-based psychological framework for telecommunications fraud and examine whether person-level cross-sectional associations provide quantitative elaboration.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Study 1 used grounded-theory analysis of semistructured interviews with 71 individuals who experienced telecommunications fraud; 46 interviews informed model development and 25 assessed theoretical saturation. Study 2 analyzed 4722 university-based survey responses from Chongqing, including 409 students with confirmed fraud experience. A balanced case-control sample comprised all 409 participants with confirmed fraud experience and 409 randomly selected participants without reported fraud experience. Two-tailed independent-samples\n                      <jats:italic>t<\/jats:italic>\n                      tests, adjusted logistic regression, and 10 nonoverlapping resampling iterations examined correlates of victimization. Among defrauded people, 2 theory-specified PROCESS Model 6 analyses with 5000 bootstrap resamples estimated cross-sectional indirect associations involving Truth-Seeking or Cognitive Maturity, Gullibility, Difficulties in Emotion Regulation, and Brief Self-Control Scale (BSCS) scores.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Study 1 yielded a 3-stage interpretive framework of retrospective narratives: Credulity Priming, Affective Manipulation, and Behavioral Dyscontrol. Desire and fear loops, as well as overexpectation events, were characterized by a narrated escalation. In study 2, defrauded people had lower Truth-Seeking and Cognitive Maturity and higher Gullibility, Difficulties in Emotion Regulation, and BSCS scores (indicating poorer self-control) than sampled nondefrauded people. In adjusted analyses, higher Gullibility was associated with higher odds of victimization, whereas higher Truth-Seeking was associated with lower odds; the interpretation of these adjusted correlates was based primarily on their consistent reproduction in the student-only sensitivity models. Among defrauded people, both PROCESS models yielded statistically significant model-specified cross-sectional indirect association estimates, but concurrent postevent measurement precluded temporal or causal inference. Across studies, convergence was the strongest for trust-related appraisal; evidence for affective and behavioral domains was complementary rather than confirmatory.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Retrospective narratives supported a 3-stage interpretive framework, while cross-sectional quantitative findings most consistently linked lower Truth-Seeking and higher Gullibility to victimization status in this sample. These findings motivate prospective evaluation of stage-sensitive prevention strategies; the proposed temporal sequence and intervention implications require direct testing in more diverse populations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/87395","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T20:46:06Z","timestamp":1786653966000},"page":"e87395-e87395","source":"Crossref","is-referenced-by-count":0,"title":["Psychological Processes of Telecommunications Fraud: Development of a Three-Stage Framework and Cross-Sectional Quantitative Elaboration in a Mixed Methods Study"],"prefix":"10.2196","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5008-0098","authenticated-orcid":false,"given":"Yujie","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6675-4506","authenticated-orcid":false,"given":"Jun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7565-7854","authenticated-orcid":false,"given":"Yuhong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6396-6273","authenticated-orcid":false,"given":"Qinghua","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8585-7131","authenticated-orcid":false,"given":"Xuemei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"key":"R1","doi-asserted-by":"publisher","DOI":"10.1080\/1068316X.2025.2468347","article-title":"Reporting fraud victimization to the police: factors that affect whether victims report","author":"Koning","journal-title":"Psychol Crime Law"},{"issue":"1","key":"R2","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1080\/15228053.2024.2439192","article-title":"Understanding the human element in scams: a multidisciplinary approach","volume":"27","author":"Liu","journal-title":"J Inf Technol Case Appl Res"},{"key":"R3","unstructured":"Telecommunications fraud increased 12% in 2023, equating to an estimated $38.95 billion lost to fraud. 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