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Technology and AI

233 approved publications in the Library, including 3 datasets.

Each count opens the matching Library records. Classifications can overlap; they count publications, not unique studies, participants, or proven interventions. “Not classified” means that detail has no recognized label in the catalog.

Research Insight Published

What technology changes in romance scams

Scammers can use AI-generated identities to make deception harder to check, while investigators use software to flag suspicious material. But the studies reviewed here do not establish that these tools reduce victims’ losses, and how widely scammers use generative AI remains unknown.

6 min read 14 sources cited in this explanation

Publication types

Format describes the record. It is not a quality score. Datasets are available for discovery, not Insight synthesis.

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.

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

Publication types among 233 approved publications
ClassificationPublications
Journal Article187
Book Chapter18
Proceedings Article14
Book3
Conference Paper3
Dataset3
Not classified2
Preprint1
Article1
Dissertation1

Research methods

A publication may appear in more than one row.

What do these research terms mean?
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.

Research methods among 233 approved publications
ClassificationPublications
Interviews66
Literature Review66
Thematic Analysis60
Qualitative Research51
Qualitative Coding38
Sampling and Recruitment35
Surveys and Questionnaires30
Document and Case-File Analysis29
Statistical Analysis28
Case Studies26
Content Analysis25
Conceptual and Theoretical Analysis23
Legal Analysis21
Computational and Text Analysis18
Not classified17
Secondary Data Analysis16
Regression Analysis15
Quantitative Research14
Mixed Methods12
Experiments10
Comparative Analysis10
Systematic Review8
Crime Script Analysis7
Ethnography and Observation7
Scoping Review7
Discourse and Conversation Analysis5
Phenomenology5
Focus Groups3

Groups studied

A publication may appear in more than one row.

What do these research terms mean?
Groups studied
People or groups described in the research, where recorded. One publication can have several labels. Missing labels are a catalog limitation, not evidence that a group has never been studied.

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

Groups studied among 233 approved publications
ClassificationPublications
Romance Scam Victims and Survivors131
Fraud and Scam Victims107
Online Dating Users68
Offenders and Scammers67
Women44
Social Media and Online Platform Users35
Older Adults31
Law-Enforcement Personnel25
Men19
Young People13
General Public12
Pig-Butchering Scam Victims11
Potential Victims and Targets10
Not classified10
Students9
Family Members and Friends8
General Online Users7
LGBTQ+ People7
Service Providers and Clinicians6
Legal and Judicial Professionals5
Trafficked Scam Workers5
People with Acquired Brain Injury4

Recorded geographic focus

Recorded study focus, not authors’ addresses. Unrecorded geography does not mean worldwide coverage.

Recorded geographic focus among 233 approved publications
ClassificationPublications
Global47
United States38
United Kingdom32
Australia23
China13
Malaysia12
Indonesia11
Nigeria8
Ghana5
South Korea4
Not classified4
Poland3
Netherlands3
Japan2
Germany2
Spain2
India2
Italy2
Czech Republic2
Hong Kong2
Latvia1
Portugal1
Bangladesh1
Hungary1
Canada1
Singapore1
Turkey1
Brazil1
Ireland1
Ecuador1
Finland1
Norway1
Philippines1
Malta1
Iran1
Pakistan1

Coverage reflects RSRC’s approved records and current classifications. Several publications may use the same underlying data. Source notices remain visible on publication records. Read the methodology before using these counts to plan research.