TFSVA Measurement Remains Dominated by Narrow Behavioral Definitions
A large scoping review has mapped how researchers measure technology-facilitated sexual violence and abuse and found a field that is still measuring only part of the problem. Across 319 studies, investigators identified 218 distinct measures, but the overall picture was fragmented and conceptually narrow. The strongest signal in the data was concentration: most instruments focused on nonconsensual sexting, while far fewer addressed image-based sexual abuse, online sexual harassment, online grooming, or cyber sexual dating abuse.
The imbalance matters because TFSVA is not a single behavior. It includes sexual harms delivered through digital platforms, and those harms can involve coercion, manipulation, public humiliation, repeated harassment, privacy invasion, and abuse embedded in relationship dynamics. A measurement system centered mainly on one subdomain risks missing the broader mechanisms through which digital sexual harm is experienced and enacted.
The review searched 10 English and Chinese databases from inception to January 13, 2026, using the Joanna Briggs Institute framework. Two independent reviewers screened records and extracted data, then applied structural topic modeling and thematic analysis to the included studies. No risk-of-bias assessment was performed, consistent with scoping review methods. Even so, the synthesis reaches beyond a simple inventory by showing where the field has repeatedly narrowed its lens.
Nonconsensual Sexting Dominates the Measurement Field
Of the 218 measures, 130 assessed nonconsensual sexting. By contrast, only 30 measured image-based sexual abuse, 27 addressed online sexual harassment, 13 examined online grooming, and 8 focused on cyber sexual dating abuse. Those numbers point to a research tradition that has favored highly specific, often behaviorally convenient endpoints over the wider range of digital sexual harms encountered in real life.
Nearly half of all measures, 108 of 218, assessed both victimization and perpetration. Another 96 focused only on victimization, 12 on perpetration alone, one on the bystander perspective, and one on all aspects. The structure of those instruments reflects a field still oriented toward separating people into fixed roles, even though digital abuse often unfolds in reciprocal, overlapping, and escalating patterns. In intimate digital environments, a single episode can combine solicitation, pressure, retaliation, and public exposure.
A single behavior can conceal a broader pattern of control.
The review also found that 199 of 218 measures, or 91.3%, assessed behaviors. Attitudes, motivations, and impacts were rarely included. In practice, this means the field has invested heavily in counting acts while leaving less room for the social meaning of those acts, the reasons they occur, and the consequences they leave behind. For clinicians, policymakers, and service providers, that gap is consequential. A measure that captures whether an image was shared without consent tells only part of the story if it misses fear, shame, coercion, retaliation, or the relational leverage used to force disclosure.
Structural Topic Modeling Exposes Three Core Dimensions
The review used structural topic modeling to identify 9 key topics, which were synthesized into 3 core dimensions: consent violation and coercive control; status degradation and demeaning harassment; and contextual and relational framing. Those dimensions help explain why the literature has felt so scattered. Researchers have been measuring fragments of the same underlying phenomenon, often without naming the connective tissue between them.
Consent violation and coercive control captures the use of digital tools to override sexual autonomy. Status degradation and demeaning harassment reflects the public or interpersonal humiliation often built into digital abuse, especially when images, messages, or threats are circulated to diminish social standing. Contextual and relational framing points to the importance of who is involved, what relationship exists between them, and what social setting gives the abuse its force. In many digital settings, the harm is not only in the content itself but in the speed, reach, persistence, and audience amplification that technology makes possible.
Thematic analysis added five themes: TFSVA acts, attitudes and beliefs, motivational factors, tactical and contextual dynamics, and survivor impact. Read together, those themes show a measurement field that already contains more conceptual depth than most individual scales reveal. The problem is not lack of ideas; it is lack of integration. Existing measures tend to isolate one slice of the phenomenon, while the lived experience of TFSVA is layered, adaptive, and often cumulative.
Artificial Intelligence, Intersectionality, and Institutions Sit Outside Most Scales
The review identifies several gaps that are likely to shape the next phase of instrument development. Artificial intelligence-facilitated tactics are largely absent from existing measures, despite the growing role of digitally manipulated sexual content and automated abuse tools. Intersectional vulnerabilities are also undermeasured, even though risk is unlikely to be distributed evenly across gender, age, sexuality, disability status, migration history, or other social positions. Institutional factors are similarly thin on the ground, leaving out the school, workplace, platform, and legal contexts that can either enable abuse or shape disclosure and response.
Those omissions are not cosmetic. They limit how well researchers can estimate prevalence, compare settings, test prevention strategies, or evaluate support services. They also limit what survivors can be asked about in a clinically meaningful way. A measure built around a narrow behavior may fail to detect repeated coercion, emerging forms of image abuse, or the social consequences that drive distress and help-seeking.
The review provides an empirical foundation for more robust and culturally sensitive measurement. It does not claim that current tools are useless; rather, it shows that the field has yet to align its instruments with the full breadth of TFSVA. For research, that means developing measures that capture behavior, intention, context, and impact without collapsing complex abuse into a single checkbox. For policy and support services, it means recognizing that digital sexual harm cannot be fully understood through one act, one platform, or one victim role alone.
One limitation remains fixed in the design of the review: without risk-of-bias assessment, it cannot rank the methodological strength of each measure. Even so, the scope of the synthesis makes the central problem unmistakable. The measurement literature is large, but it is still catching up to the speed, reach, and variety of digital sexual abuse itself.