As seen on

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We are back. Now 100% public data analysis.

likes + private informationpublic accounts

A few of the signals we look for

  • Body & diet pressure
  • Explicit content
  • Drug & alcohol use
  • Dangerous stunts
  • Harassment & mockery
  • Hate speech
  • Violence glorification
  • Toxic relationship norms
  • Pro-eating disorder content
  • Gambling & crypto schemes
  • Predatory finance funnel
  • MLM / downline recruitment
  • Digital scheme recruitment
  • Conspiracy ecosystem
  • Medical misinformation
  • Us-vs-them framing
  • Grievance identity
  • Mainstream distrust
  • Misogynistic extremism
  • Coercive control / cult
  • Coercive community / cult-like recruitment
  • Rigid gender roles
  • Dark curiosity content
  • Melancholy aesthetic
  • Parasocial intensity
  • Adult content creator
  • Thirst traps
  • Nightlife
  • Substance promotion
  • Hostile tone
  • Public callout culture
  • Rule-breaking humor
  • Engagement bait
  • Scam / spam account
Free signal search. We'll show you every signal we find at no cost on your first search.
@
Privacy FirstNo personal data analyzed
Public Data OnlyNo social network login required
Research-GroundedCDC, Pew, PERIL inspired
Invisible AnalysisNothing is posted or sent

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.

  • noravance_@noravance_
  • lucaromero_@lucaromero_
  • elenamarchetti@elenamarchetti
  • sadiebloomx@sadiebloomx
  • miadelacruz_@miadelacruz_
  • +8more

Needles = followed accounts with that signal.

Explicit content

38
@avaleighton@avaleighton
@marisolvega_@marisolvega_
@cataloravera@cataloravera
@hayleywren@hayleywren
+34

Adult content creator

40
@noelleravenn@noelleravenn
@sofiabellamy@sofiabellamy
@reneequinnx@reneequinnx
@jadecollins_@jadecollins_
+36

Thirst traps

161
@roseandeline@roseandeline
@graceybonnet@graceybonnet
@karlaruizv@karlaruizv
@juliettetorr@juliettetorr
+157

Violence glorification

5
@northavenger_@northavenger_
@paybackboys@paybackboys
@daryvexx@daryvexx
@kosystem.mma@kosystem.mma
+1

Manipulative subscription funnel

40
@thegoodwitchhq@thegoodwitchhq
@julianaalborn@julianaalborn
@tylerlopes@tylerlopes
@oliviamaye@oliviamaye
+36

Body & diet pressure

29
@gabbyellyse@gabbyellyse
@gainsbybree@gainsbybree
@aleestefanny@aleestefanny
@biancataylorr@biancataylorr
+25

The 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.

21%

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)

66%

of UK adults ran into potentially harmful content online — misinformation, scams, hateful content and unwanted follow requests led the list. (Ofcom, Online Nation 2025)

30%

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.

01
Search
Enter any public social media handle. LikePatrol instantly accesses the public accounts they follow.
02
Analyze
LikePatrol reviews the public accounts they follow and identifies recurring themes, content categories, and exposure patterns, compared to typical people of that age group. Only public information is analyzed.
03
Compare
Results are placed against public-profile benchmarks to show what appears typical, elevated, or unusually visible.
04
Report
You get a clear breakdown of the strongest areas, the protective context, and the accounts contributing most to each result.
05
Review
See why specific accounts appeared and what patterns are worth a closer look.

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.

Mature content exposure
Ideological and worldview content
Relationship and social-dynamics themes
Body image and appearance-related content
Value themes visible across the network
Substance-related content exposure
Protective and community-oriented signals
Mental health and emotional-expression themes
High-pressure financial and wealth-related narratives
Political and civic content exposure
Career, activity, and interest themes
Social environment and community context
Exposure signal
Protective signal
Descriptive / two-sided

Use cases

Who uses it

Families
See the public content environment surrounding someone you love — with more context, fewer blind spots, and earlier understanding.
Personal Snapshot
Run LikePatrol on your own account to better understand the themes, communities, and patterns most present across your follow network.
Mentors, Coaches & Trusted Adults
When someone chooses to share their online world with you, LikePatrol helps turn public content and community patterns into clearer context for support.

Analyze a public account

Public data only. No passwords. Every analysis is based solely on publicly available content. No private data, no invitations, no exports — just instant clarity from public signals.