Stephan Lewandowsky

Mastodon @stworg@fediscience.org

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🔒 Paid proposals held safely in escrow — released only when the work's approved.

Followers

1.4K

Account age

3 yrs

🧰 Free analysis for Stephan Lewandowsky

🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

Our fixes span individual tools (inoculation, AI-assisted debunking, literacy) to systemic reforms (algorithmic transparency, monetization reform, platform interoperability). No single lever works alone — see our table of interventions.
8/10

3 views Our fixes span individual tools (inoculation, AI-assisted debunking, literacy) to systemic reforms (algorithmic transparency, monetization reform, platform interoperability). No single lever works alone — see our table of interventions. 8/10

📊 Post engagement

Avg engagement / post

0.3%

Engagement vs followers

Nov 2022

On Mastodon since

🔥 Top post: New in Trends in Cognitive Sciences: misinformation isn't just a · 27 likes + reposts

📊 Activity & format

Posting cadence

6.7 / week

Posts several times a week.

Content mix

Mostly text

Recent: 11 text · 1 image · 0 video.

Follower / following

6.1×

Follows 236 back. A strong ratio — an audience that follows them, not a follow-for-follow network.

Recent posts

View on Mastodon ↗

🔥 Top post New in Trends in Cognitive Sciences: misinformation isn't just about false beliefs. Led by @ulliecker.bsky.social & co=authors @emilyspearing.bsky.social & @noupside.bsky.social our piece argues the bigger threat is indirect—the erosion of shared epistemic standards https://doi… ★ 27

For details see the paper in Trends in Cognitive Sciences here https://doi.org/10.1016/j.tics.2026.06.009 10/10 ★ 1 The recent major report for European Commission expands on the possible solutions: https://sks.to/fractured. 9/10 ★ 2

Our fixes span individual tools (inoculation, AI-assisted debunking, literacy) to systemic reforms (algorithmic transparency, monetization reform, platform interoperability). No single lever works alone — see our table of interventions. 8… ★ 3 This matters because democracy depends on shared ground truths. Abandoning evidence as the basis for debate doesn't just distort individual issues — it corrodes the infrastructure of collective decision-making. And even science is not immu… ★ 6 We're also seeing elites shift from evidence-based "fact speaking" to sincerity-based "belief speaking" — a rhetorical move that's spreading and normalizing epistemic relativism in public discourse. For example, here: https://doi.org/10.… ★ 6 The real danger: flooding info ecosystems with half-truths and confusion doesn't just create false beliefs — it teaches people that truth itself is unknowable. That's the "liar's dividend" and truth relativism at work. 5/10 ★ 2 Generative AI adds a new layer: models fabricate content confidently, can be fine-tuned to push narratives, and personalize persuasion to individual biases — all while people struggle to resist AI-generated misinformation even when warned,… ★ 3 Social media has turned narrative-building into a participatory, algorithm-driven process. Influencers co-create "realities" with followers, and outrage/divisive content gets rewarded by engagement-based ranking. 3/10 ★ 2 Direct effects are well documented: misinfo shapes memory, beliefs, and behaviour (vaccines, climate, deepfakes). We wrote about this here earlier: https://doi.org/10.1038/d41586-024-01587-3 But focusing only on debunking discrete claim… ★ 2 This is what runaway fascism looks like. It's like Russians being arrested for holding a blank sheet of paper. And this is happening right here, right now. https://www.linkedin.com/posts/sarah-wynn-williams-already-faces-financial-share-7… ★ 4 Stefan Rahmstorf @rahmstorf.bsky.social streaming to 11,000 people (in German) about state of the climate: https://www.youtube.com/watch?v=hzFQgxsRabU ★ 1

🐘 Community & instance

Home server

fediscience.org

Their home server on the fediverse — the instance a creator picks signals the community they belong to.

On Mastodon since

Nov 2022

Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.

👁️Averages 5 views per post.

📤Posts about 6.7× per week.

🛡️ Audience credibility

66/100

Good Credibility score

89%

Real Real audience

Low Fake-follower risk

High Data confidence

Est. 89% real, active audience · Low fake-follower risk.
Engagement (~0.3% of followers engage each post) is around typical for Mastodon.
Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

💚 Brand affinity

Estimated

Brands Stephan Lewandowsky's audience is most likely to respond to — from detected sponsorships in this niche.

About

Prof Stephan Lewandowsky (University of Bristol). Research in misinformation. Australian, British, European, rootless cosmopolitan. also @stworg on the dying bird. Full bio on https://www.cogsciwa.com/.