ResearchResearchSource Sep 21, 20263 min read
A Behavioural Insights Team survey of 1,008 heterosexual women in Australia found that 99% reported at least one abusive behaviour on a dating platform during the previous three months. Psychological and emotional abuse was the most common category, reported by 95%. The figures describe a defined, self-reporting sample rather than all dating-app users.
ResearchResearchSource Sep 21, 20263 min read
Morning Consult reports that Facebook Dating held 19.2% of category usage in its U.S. study, ahead of Tinder at 16.3%. Among adults who knew each service, 36% said they had used Facebook Dating in the previous four weeks, compared with 19% for Tinder. These are survey-based brand measures, not audited platform activity.
ResearchResearchSource May 13, 20263 min read
In a survey at one private U.S. university, 82 of 1,582 respondents reported sugar-dating participation. Those respondents also reported greater financial need and more childhood adversity, but the study is observational and cannot show that sugar dating caused either pattern.
ResearchResearchSource Mar 14, 20263 min read
A survey of 500 young women in Hungary found correlations between openness to sugar relationships and several measures of personality functioning and coping. It measured attitudes rather than participation and cannot establish cause or direction.
ResearchResearchSource Mar 13, 20263 min read
WUNC’s Embodied pairs a former sugar baby’s account with a researcher’s discussion of benefactors. The transcript lets readers distinguish personal experience, research interpretation and the host’s framing while exploring money, boundaries and intimacy.
ResearchResearchSource Feb 17, 20263 min read
A scoping review screened 2,825 records and found 27 empirical studies that met its criteria for research focused on sugar dating. Definitions, samples and theoretical assumptions varied widely, leaving the evidence base too narrow for sweeping conclusions.
ResearchResearchSource Nov 9, 20253 min read
An arXiv preprint proposes SugarTextNet, a model trained to identify explicit and euphemistic sugar-dating posts on Sina Weibo. The reported gains come from one small, platform-specific dataset and do not establish that the model is ready for moderation decisions.