Stephan Lewandowsky Add us as a preferred source on Google
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Make a deal with Stephan Lewandowsky
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Followers
1.4K
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Stephan Lewandowsky
📊 Post engagement
Recent posts · likes + reposts
Jul 7latest
5
Avg engagement / post
2–4
Typical post (engagement)
0.3%
Engagement vs followers
37/100
Variable reach
Nov 2022
On Mastodon since
Half of recent posts land between 2 and 4 likes + reposts (median 3) — reach is spiky, driven by the occasional post that pops.
🔥 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 ↗
For details see the paper in Trends in Cognitive Sciences here https://doi.org/10.1016/j.tics.2026.06.009
10/10
The recent major report for European Commission expands on the possible solutions: https://sks.to/fractured.
9/10
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…
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…
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.…
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
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,…
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
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…
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…
Stefan Rahmstorf @rahmstorf.bsky.social streaming to 11,000 people (in German) about state of the climate: https://www.youtube.com/watch?v=hzFQgxsRabU
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…
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…
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.…
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
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,…
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
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…
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…
Stefan Rahmstorf @rahmstorf.bsky.social streaming to 11,000 people (in German) about state of the climate: https://www.youtube.com/watch?v=hzFQgxsRabU
🐘 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.
🕵️ Fake follower check
Estimated43/100
Fair
Credibility score
73%
Mixed
Real audience
Medium
Fake-follower risk
High
Data confidence
- Est. 73% real, active audience · Medium fake-follower risk.
- Low engagement (~0.3% of followers engage each post) — a sign of an inflated or inactive audience.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
💚 Brand affinity
EstimatedBrands 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/.
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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