Research evidence · snapshot 22 July 2026

What academic research adds to dating-safety advice.

Platform safety pages tell people what to do. Research helps explain how pressure, consent, privacy, design, and support can work across different dating situations. This library keeps the population, evidence type, and limit beside every source.

The boundary

Research explains patterns. It does not identify a person.

None of these studies is turned into a private risk score, a criminal conclusion, or a claim about someone a reader is dating. The useful translation is a safer next question: what is being requested, how fast is the pressure moving, what can stay private, and what can wait?

Core evidence layer

Six research areas we use first.

These are the strongest fits for the report’s current questions: private images, consent, platform design, stage changes, support, and emerging manipulation. They are not six claims that every dating interaction follows the same path.

CoreArizona State University

Digital dating violence, pressured sexting, and image-based abuse

Joris Van Ouytsel and collaborators

Evidence type
Peer-reviewed research listed through a university profile
Population or scope
Much of the cited work concerns adolescents and young people, including heterosexual and LGBTQ+ youth.

What it adds: It helps explain why a private-image request is a safety decision involving pressure, consent, privacy, and possible later harm, not merely a question of whether a profile looks real.

Used here for: Private-photo, sexting, image-sharing, and “prove you trust me” guidance.

Limit: These studies do not provide an all-age prevalence estimate or a person-level detector. A pressured request is a reason to pause, not proof of criminal intent.

ASU faculty profile and publication record

CoreMcGill University, Concordia University, University of Waterloo, and collaborators

Dating-app design, safety policy, marginalized users, and surveillance

Christopher Dietzel, Stefanie Duguay, Diana Parry, and collaborators

Evidence type
Academic analysis of dating-app safety approaches
Population or scope
The work addresses dating-app users and the unequal effects of platform safety approaches, with attention to marginalized users.

What it adds: It prevents a common mistake: treating safety as only the user’s responsibility. A feature can help in one moment while also creating privacy, policing, or exclusion concerns for another user.

Used here for: Report and support guidance, privacy boundaries, and the section explaining why we do not rank platforms or promise that a feature prevents harm.

Limit: This is not an app ranking, an incident-rate comparison, or proof that every platform feature has the same effect in every community.

Individualized responsibility, policing, and surveillance

CoreUniversity of Waterloo

Mapping safety, risk, and support across dating-app use

Diana Parry and collaborators

Evidence type
University research project and public education tool
Population or scope
People navigating dating-app safety, risk, and support; the public launch describes a cross-context mapping approach.

What it adds: It offers a useful information architecture: safety is a route through several moments and support options, not a single badge or a final verdict.

Used here for: The report’s stage-based risk path, community context, and links to support or reporting routes.

Limit: The existence of a map or guide is not an outcome evaluation. It does not prove that a user will be safe or that one route fits every location.

Swipe right, safer: the Dating App Safety Map

CoreArizona State University

Relationship development and movement between online and offline settings

Liesel Sharabi and collaborators

Evidence type
Relationship and communication research
Population or scope
Research on mate selection, relationship initiation, dating apps, and online-to-offline relationship development.

What it adds: It helps describe the transition from app chat to another channel or an in-person meeting as a change in context, not as an automatic sign of danger.

Used here for: The “common risk path” sequence and advice to reassess privacy, pressure, and reversibility at each stage.

Limit: This is not a romance-scam prevalence study and does not establish a universal safe timeline for moving off-app or meeting.

ASU Relationships and Technology Lab profile

CoreGeorge Mason University and King’s College London

AI-enabled romance scams and support for older adults

Sanchari Das and Ruba Abu-Salma with collaborators

Evidence type
Research-in-progress / funded project announcement
Population or scope
The announced project focuses on older adults and reports a planned international research scope.

What it adds: It keeps emerging AI-enabled manipulation and family or community support in view without treating an older person’s age as a diagnosis of vulnerability.

Used here for: Emerging-threat context and advice about involving a trusted person when pressure, isolation, or money requests make decisions harder.

Limit: This announcement is not a completed peer-reviewed finding. It must not be used to claim that older adults are uniformly more likely to be deceived.

George Mason University award announcement

Additional context

A useful language study, kept narrow.

Language patterns and manipulation in romance fraud

Pamela B. Faber · University of Granada

It supports teaching about repeated language moves such as accelerated intimacy or pressure without pretending that a phrase can identify a scammer.

Our limit: Corpus provenance, consent, representativeness, and context matter. We do not publish the corpus, reproduce private messages, or infer intent from wording alone.

Read the university source

How we use research

Four rules keep the translation honest.

  1. Keep the population visible. A study of young people, LGBTQ+ users, older adults, or a particular country is not silently rewritten as a global adult finding.
  2. Keep the evidence type visible. A peer-reviewed paper, a university tool, a faculty publication list, and a funded research announcement do not carry the same weight.
  3. Translate mechanisms into choices. We turn research into questions about timing, pressure, disclosure, privacy, consent, and support, not a label for another person.
  4. Do not publish sensitive material. We do not reproduce private chats, publish a person-search corpus, investigate incidents, or infer criminality from language or behavior.
For citation: Link to the original paper or university page, name its population and method when relevant, and give the RealAttraction report edition date when quoting our synthesis.

Use the evidence in context

Read the report’s findings and sources together.

The Dating Safety Signals Report combines academic evidence with official platform guidance and independent public sources. Those layers answer different questions and are kept separate.

Open Press & Media