AI Slop × Health
Misinformation × Elderly

Ecosystem Map — Part 2

Gordon Cheng • Week 11 • Inclusive Design, SVA

Illustration: SearchStax, "AI Slop and Information Discovery" (2024)

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Part 2 — Inclusive Design, SVA Spring 2026

When AI Becomes the Doctor:
Health Misinformation × Elderly

AI-generated health misinformation is flooding social media. Elderly Americans (65+) are the most vulnerable — and the least protected. We focus on healthcare, where consequences are irreversible.

🏥 Healthcare

Fake health advice, AI "doctor" accounts, fraudulent drug promotion. Our focus.

💰 Finance

AI investment scams, fake advice targeting retirement savings.

📱 Daily Life

Fake news, deepfake voice calls, emotional manipulation.

The Scale of the Problem

74%

of 50+ distrust
AI health info

of 65+ know what
a "deepfake" is

44%

of TikTok health videos
are non-factual

platforms have
elderly protections

64%

of 65+ use YouTube
for health info

57%

of 65+ use
Facebook daily

7×

more likely to share
fake news (vs 18–29)

90+

fact-check orgs
dropped by Meta

Michigan Medicine • Nature Aging • Pew 2025 • Princeton / NYU • Meta Transparency

Ecosystem Map

AI Health Misinformation × Elderly

Value Exchange

Elderly → System

Attention & time
Trust (unverified)
Behavioral data & money
Spreading misinfo to peers

System → Elderly

Social connection & comfort
Health "info" (uncontrolled)
Entertainment
Belief validation → R+ loop

⚠ Broken

Verification — severed
Family check — declining

Power Mapping

High Power / Low Interest

📱 Social Media Platforms

Control algorithms. Goal: ad revenue. Retreating from moderation.

🎭 AI Content Farms

Generate medical content at scale for profit.

High Power / High Interest

🏛️ Regulators (FTC / FDA)

Authority exists but enforcement lags. AI "info" ≠ "advertising".

🤖 Algorithms

Invisible but decisive. Optimize for engagement, not truth.

Low Power / Low Interest

📰 News Media / 📋 WHO / CDC

Guidelines exist but no enforcement. Content doesn’t reach elderly.

Low Power / High Interest

👴 Elderly Users

Most affected, least voice. Distrust AI (74%) but can’t identify it (7%).

👨‍👩‍👧 Family & 👨‍⚕️ Doctors

Influence declining. Quarterly visits can’t compete with daily algorithms.

System Boundaries

🤖

AI Generation

LLMs, deepfakes,
content farms

📡

Distribution

YouTube, Facebook,
WhatsApp algorithms

👴

Consumption

PRIMARY FOCUS
How elderly encounter
& trust AI health content

🧠

Decision Making

Self-medication,
purchasing, sharing

⚠️

Consequences

Health harm,
eroded trust

🏛️

Regulation

FTC / FDA / FCC
policy & enforcement

← ————— Our System Boundary ————— →

Platform Landscape

📺 YouTube

Best protections

Health info panels
AI disclosure required
Raised removal threshold

64%

of 65+ use

📘 Facebook

Biggest backslide

Ended 90+ org fact-checking
Community Notes instead

57%

of 65+ use

🎵 TikTok

Most misinfo-dense

25% = misinformation
AI labels on 1.3B+ videos

~7%

of 65+ (growing)

𝕏 X (Twitter)

All policies gone

COVID policy ended
Misinfo report removed

low

65+ adoption

💬 WhatsApp

The blind spot

E2E = zero moderation
Family groups amplify

~30%

of 50–64 (growing)

AI Slop × HealthMisinformation × Elderly

When AI Becomes the Doctor:Health Misinformation × Elderly