Research & Public Health Day

Information Ecosystem Health / Health Misinformation

Information
Ecosystem

Misinformation

February 20, 2026Aengus Bridgman

// Where Canadians Get Health Information

per year

The average Canadian sees their doctor about three times a year

abridgman.ca

// Where Canadians Get Health Information

Top “Alternative Health” Podcasts in Canada

Passion Struck

Passion Struck

Feel Better, Live More

Feel Better, Live More

Well with Arielle Lorre

Well with Arielle Lorre

Feminist Wellness

Feminist Wellness

Dhru Purohit Show

Dhru Purohit Show

Dr. Tyna Show

Dr. Tyna Show

Wellness Process

Wellness Process

Dylan Gemelli

Dylan Gemelli

mindbodygreen

mindbodygreen

Dr. Ardis Show

Dr. Ardis Show

Wise Traditions

Wise Traditions

Doctor Youn

Doctor Youn

Not Health Podcasts — But Talk About Health Constantly

Alex Jones

Alex Jones

Dana Loesch

Dana Loesch

Bannon's War Room

Bannon's War Room

Clay & Buck

Clay & Buck

Joe Rogan

Joe Rogan

Russell Brand

Russell Brand

Flyover Conservatives

Flyover Conservatives

Liz Wheeler

Liz Wheeler

Redacted News

Redacted News

Megyn Kelly

Megyn Kelly

Glenn Beck

Glenn Beck

Charlie Kirk

Charlie Kirk

abridgman.ca

// Where Canadians Get Health Information

50%

of Canadians

have turned to AI chatbots for health information

Only 27% trust it to be accurate — but they use it anyway

CMA / Abacus Data, Health and Media Tracking Survey, 2025 (N = 5,000)

abridgman.ca

What's actually going on?

The Ecosystem

What is a "healthy" information ecosystem?

Diseased Ecosystem

  • Trust driven by identity, not evidence
  • Information monocultures
  • Misinformation stickier than corrections
  • Cascading failure

Healthy Ecosystem

  • Trust calibrated to evidence
  • Diverse and independent sources
  • Corrections propagate
  • Resilient to shocks

Rampant health misinformation can be a symptom of a weak information ecosystem.

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The Ecosystem

Studying the ecosystem

  • Media Ecosystem Observatory — real-time tracking across 7+ platforms
  • Election monitoring & rapid incident response
  • Canadian Digital Media Research Network — pan-Canadian partnerships
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// The Ecosystem

The health podcast landscape

613
Channels
88,164
Episodes
6 Years
24/7 Listening
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The Ecosystem

The health information spectrum

Evidence-Based

  • Huberman LabHuberman Lab
  • Peter AttiaPeter Attia (The Drive)
  • BBC Health CheckBBC Health Check

Functional / Alternative

  • Dr. Mark HymanDr. Mark Hyman
  • Wellness MamaWellness Mama
  • Wise TraditionsWise Traditions

Misinformation Vectors

  • Dr. MercolaDr. Mercola
  • Alex JonesAlex Jones
  • Bannon's War RoomBannon's War Room
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The Ecosystem

Political media IS health media

Channel similarity network showing six podcast ecosystems clustered by shared health discourse

Each node is a podcast channel. Size reflects how often it discusses health topics. Channels are connected when they discuss health in semantically similar ways.

Six ecosystems emerge: the US/CA right-wing political show ecosystem produces the most health content.

Alternative health channels sit adjacent, bridging into political media with larger reach.

363 channels, 51K segments. Louvain clustering, ForceAtlas2 layout.

abridgman.ca
// The Ecosystem

What they're actually saying

Alex Jones

Alex Jones

Jun 30, 2025

“Low end, we’re talking like vaccines causing half the autism... a thousand percent increase in autism.”

Megyn Kelly & Dr. Mark Hyman

Megyn Kelly & Dr. Mark Hyman

2025

“The toxic stew... mercury or aluminum should also be factored into that discussion. Made perfect sense to me.”

abridgman.ca
// The Ecosystem

Chronic and acute

Event-driven timeline showing health discussion spikes around RFK confirmation, measles outbreaks, and policy announcements

51,302 segments from 613 channels (Feb 2025–Feb 2026). Source: MEO podcast monitoring.

abridgman.ca
The Ecosystem

The ecosystem at scale

  • Misinfo is ~1% of consumption but outsized effects
  • Ecosystem is asymmetrically polarized
  • Polarization reorganizes social networks
  • Fact and expert-based communication has fundamentally changed
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The Ecosystem

What we find in Canada

  • Journalism visibility collapse
  • Influencers now outpace parties and media in elections
  • Foreign actors interested in manipulating Canadian/Western politics (e.g. Tenet Media)
  • AI-generated fake Canadian news sites used for grift
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The Ecosystem

The harm is measurable

  • COVID-19 misinfo led to lower bound 2,800 excess deaths and $300M in hospital costs in Canada
  • Upper limit: one exposure produces -6.4 pp vaccination intent
  • Exposure follows health disparities
  • AI health advice → 5× more likely to experience harm

Council of Canadian Academies, Fault Lines: Socioeconomic Impacts of Science and Health Misinformation, 2023

Loomba et al., Measuring the Impact of COVID-19 Vaccine Misinformation on Vaccination Intent, 2021

Southwell et al., Misinformation as a Misunderstood Challenge to Public Health, 2023

Roozenbeek et al., Susceptibility to Misinformation about COVID-19 around the World, 2021

CMA / Abacus Data, Health and Media Tracking Survey, 2025

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Why is this so hard to fix?

// The Problem

Who owns the conversation?

Share of health/vaccine conversation: influencers dominate ~75% of volume and ~95% of engagement compared to news media and politicians
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The Problem

The conventional wisdom

Just fact check

Effects decay within days and fail to reach the most convinced

Moderate platforms

Vaccine policies were largely ineffective and the algorithmic incentives are simply not there

Teach Media Literacy

Majority of RCTs show no effect and places enormous burden on individuals

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The Problem

The evidence-practice gap

Expert-preferred interventions don't align with the evidence.

What seems to work okay

  • Inoculation / prebunking
  • Accuracy nudges
  • Combination approaches (50-70% more effective)
  • Structural factors (83% of variance)

The 🐘 in the room

  • Partisanship and strong ideological conviction
  • How do you target it in a democracy?
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The Problem

The AI accelerant

Threat Multiplier

  • 40M daily health queries to ChatGPT
  • Potential to produce personalized misinformation at scale
  • Used more and more despite low trust

Potential Tool

  • Real-time monitoring
  • Prebunking at scale
  • Accessible science communication
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What can we do?

The Treatment

A public health approach to information

Disease Control

  • Vaccination — primary prevention
  • Surveillance — track spread
  • Treatment — manage infections
  • Combination therapy — no single tool works
  • Chronic management — ongoing, not one-time
  • Acceptable risk thresholds — not zero disease

Information Ecosystem

  • Prebunking — inoculate before exposure
  • Monitoring — track what's circulating
  • Contact and questioning — correct misinformation
  • Multi-level intervention — individual + platform + policy
  • Sustained effort — effects decay, need boosters
  • Tolerable levels of misinfo — resilience, not elimination
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The Treatment

What can be done

Communicators

  • Fill the vacuum
  • Tell visual stories
  • Repeat often — effects decay fast

Researchers

  • Think about circulation
  • Deficiency model is dead
  • Your credibility matters

Citizens

  • See something, say something
  • Friction is your friend
  • Diversify your information diet

Professionals

  • Structural levers (83%) policy choices
  • Demand evidence-based interventions
  • Build bridges
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// The Treatment

“The information ecosystem is a public health issue. And public health professionals are information ecosystem participants.”

abridgman.ca

Thank you

Aengus Bridgman: aengus.bridgman@mcgill.ca

Media Ecosystem Observatory: meo.ca

Centre for Media, Technology and Democracy: mediatechdemocracy.com

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