Niels G. Mede
@nielsmede.bsky.social
2.8K followers 530 following 220 posts
🔎 Assistant Professor of Science Communication 📍 Wageningen University & Research @w-u-r.bsky.social‬ 🏠 www.nielsmede.com
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nielsmede.bsky.social
Ade Zürich, hallo #Wageningen! This week I started my new position as Assistant Professor at @w-u-r.bsky.social
Thanks a lot for the warm welcome – I'm very excited about what’s ahead! At the same time, I'm very grateful for the years I spent at @ikmz.bsky.social. Merci vielmal und uf widerluege 🫶
Reposted by Niels G. Mede
larslott.bsky.social
Is research performance related to academic freedom? A preprint co-authored with @lutzb.bsky.social conducts a large-scale empirical analysis on the national level to this question. osf.io/2mh8f #academicfreedom #AcademicFreedomIndex Short 🧵
Reposted by Niels G. Mede
olivia.science
Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n
Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues. Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA). Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe. Protecting the Ecosystem of Human Knowledge: Five Principles
Reposted by Niels G. Mede
Reposted by Niels G. Mede
Reposted by Niels G. Mede
janpfa.bsky.social
How much do people really reject science?

New paper out doi.org/10.1177/0963...

In four studies, we asked Americans—including flat Earthers, climate change deniers and vaccine skeptics—whether they accepted basic scientific facts.

The result? A surprisingly high level of agreement. 👇
Quasi-universal acceptance of basic science in the United States - Jan Pfänder, Lou Kerzreho, Hugo Mercier, 2025
Substantial minorities of the population report a low degree of trust in science, or endorse conspiracy theories that violate basic scientific knowledge. This m...
doi.org
Reposted by Niels G. Mede
nefcapolcom.bsky.social
🚀 We’re live!

The Political Communication Division of @nefca.bsky.social is now on BlueSky. Follow us for updates on research, events, and conversations in the PolCom community.
Reposted by Niels G. Mede
lenafrescamente.bsky.social
@nielsmede.bsky.social is opening our workshop based on his TrygFonden * @ddc-sdu.bsky.social fellowship on countering science related online harrassment - very excited to discuss how to support science communicators with a stellar line-up of academics and stakeholders!
Reposted by Niels G. Mede
hcp4715.bsky.social
thrilled that our guides for #OpenScience in developing countries is now published in AMPPS of @psychscience.bsky.social: journals.sagepub.com/doi/10.1177/...
Please see the thread for details
Reposted by Niels G. Mede
koenfucius.bsky.social
It’s not just social media algorithms that determine whether content goes viral.

Research by @steverathje.bsky.social and @jayvanbavel.bsky.social finds how the psychology of spreaders and consumers interacts with the environment also significantly influences virality:

buff.ly/q17VnXN
Reposted by Niels G. Mede
karmel80.bsky.social
Which is why the way reporting is done is crucial... "We find: It’s not necessarily firsthand experience of extreme weather events. Instead, it’s whether people think that these events are linked to climate change."
nielsmede.bsky.social
New paper: What increases people’s support for policy responses to #climate #change? ✊
We find: It’s not necessarily firsthand experience of extreme weather events. Instead, it’s whether people think that these events are linked to climate change. Here is the paper: www.nature.com/articles/s41... 🔎
Extreme weather event attribution predicts climate policy support across the world - Nature Climate Change
Literature produced inconsistent findings regarding the links between extreme weather events and climate policy support across regions, populations and events. This global study offers a holistic asse...
www.nature.com
Reposted by Niels G. Mede
larrymillerphd.bsky.social
What if science communication wasn’t just about facts—but about trust, humility & shared values? This new agenda from PNAS calls for participatory models to replace top-down fixes. In this ultra-polarized environment, it’s about co-creation, not just correction. What are your thoughts? 🧪🧬🔬
An agenda for science communication research and practice | PNAS
Science should not unilaterally dictate individuals’ decisions or public policies. Yet, it provides a vital source of information for societies and...
www.pnas.org
nielsmede.bsky.social
Excellent new study in @actapolitica.bsky.social: @roderikrekker.bsky.social uses 15 years of representative panel survey data (2007-2022, n = 19,084) to show how science skepticism is linked to political discontent in the Netherlands ⬇️
roderikrekker.bsky.social
(1/5) Out now in Acta Politica: Populist parties increasingly target scientists and scientific knowledge. By analyzing 15 annual waves of representative panel data from the Netherlands (2007–2022), I examine to what extent populist parties fuel science skepticism among their supporters.
nielsmede.bsky.social
This study is based on a great collaboration of our #TISP consortium and @simonameiler.bsky.social, Chahan Kropf, @samluethi.bsky.social and David N. Bresch (@ethz.ch). @colognaviktoria.bsky.social and I joined forces with them to combine our worldwide survey data with their climate modelling data 🤝
nielsmede.bsky.social
New paper: What increases people’s support for policy responses to #climate #change? ✊
We find: It’s not necessarily firsthand experience of extreme weather events. Instead, it’s whether people think that these events are linked to climate change. Here is the paper: www.nature.com/articles/s41... 🔎
Extreme weather event attribution predicts climate policy support across the world - Nature Climate Change
Literature produced inconsistent findings regarding the links between extreme weather events and climate policy support across regions, populations and events. This global study offers a holistic asse...
www.nature.com
Reposted by Niels G. Mede
nielsmede.bsky.social
Ade Zürich, hallo #Wageningen! This week I started my new position as Assistant Professor at @w-u-r.bsky.social
Thanks a lot for the warm welcome – I'm very excited about what’s ahead! At the same time, I'm very grateful for the years I spent at @ikmz.bsky.social. Merci vielmal und uf widerluege 🫶
Reposted by Niels G. Mede
kochav.bsky.social
This was a remarkable milestone in our careers, and the next steps look very promising with our TISP leaders @colognaviktoria.bsky.social and @nielsmede.bsky.social.

If you haven’t read our article yet, it’s fully open access.

#PhilSky #AcademicSky
colognaviktoria.bsky.social
Our global study on the state of trust in scientists is now out in Nature Human Behaviour! 🥳

With a team of 241 researchers, we surveyed 71,922 people in 68 countries, providing the largest dataset on trust in scientists post-pandemic 👇🧵https://www.nature.com/articles/s41562-024-02090-5
Reposted by Niels G. Mede
seramirezruiz.bsky.social
🤔 How much do politicians engage with academic researchers online?

In my latest paper, I find that politicians from 12 countries rarely engage with researchers on social media, but this can change when expertise gains salience

Preprint: osf.io/preprints/osf/wqbe4_v1

🧵👇
Title page of the preprint
Reposted by Niels G. Mede
larakobilke.bsky.social
Young adults who overestimate their knowledge about climate change try to reach out to politicians and persuade others more often. This is what we find in our brand new OA paper. See @nielsmede.bsky.social amazing thread for more info 👇
nielsmede.bsky.social
Published in Social Media + Society: Our 4-wave panel #survey on the relationship between #socialmedia and misperceptions of one’s knowledge about #climate #change – co-authored with @larakobilke.bsky.social @naylafawzi.bsky.social #ThomasZerback: journals.sagepub.com/doi/10.1177/...
nielsmede.bsky.social
🔎 How did we test this?
We conducted a four-wave panel #survey of 18- to 29-year-olds in #Germany (n = 1,309) in Feb-Aug 2022 and used Bayesian within-between regressions and cross-lagged panel models to get (tentative) evidence on causal effects.