Public following · sample scan
This is what those follows look like.
A sample following, scored the same way the report does. The needles compare it to similar age-group exposure. The accounts shown are illustrative — AI-generated photos, fictional handles.
Most recently followed
@noravance_
@lucaromero_
@elenamarchetti
@sadiebloomx
@miadelacruz_- +8more
Exposure signals found
Needles = followed accounts with that signal.
Sexualized content
@avaleighton
@marisolvega_
@cataloravera
@hayleywrenAdult content creator
@noelleravenn
@sofiabellamy
@reneequinnx
@jadecollins_Violence glorification
@northavenger_
@paybackboys
@daryvexx
@kosystem.mmaManipulative subscription funnel
@thegoodwitchhq
@julianaalborn
@tylerlopes
@oliviamayeBody & diet pressure
@gabbyellyse
@gainsbybree
@aleestefanny
@biancataylorrThe signal
Who someone follows is public. What it means is not.
The content someone sees every day shapes their sense of what is normal, desirable, and expected. Most of this happens quietly — through the accounts they follow, the posts that appear in their feed, and the communities they are exposed to.
of U.S. adults regularly get their news from influencers on social media — 38% among those under 30. Who you follow is who informs you. (Pew Research Center, surveyed August 2025)
of UK adults ran into potentially harmful content online — misinformation, scams, hateful content and unwanted follow requests led the list. (Ofcom, Online Nation 2025)
of adults who reported losing money to a scam said it started on social media — $2.1 billion in reported losses in 2025, about eight times the 2020 figure. (U.S. Federal Trade Commission, 2026)
How It Works
Search. Analyze. Understand.
What We Measure
12 dimensions of network exposure
LikePatrol analyzes 12 dimensions of network exposure, combining risk-related signals, protective signals, and descriptive themes. The model is inspired by population risk-behavior research, media-content frameworks, career-interest theory, value-theme research, and online environment analysis.