π¨ Please send in your application by 10 December to be considered for this ESRC studentship in collaboration with @campaign-lab.bsky.social. Both home and international students are eligible for funding. Some advice on how to apply below π
28.11.2025 21:09 β π 21 π 22 π¬ 1 π 0
Second POAL methods brief by amazing @laurenleek.eu on how leading polling and survey providers deal with AI bots with tips for researchers fielding their own surveys too!
18.11.2025 09:26 β π 6 π 3 π¬ 0 π 0
Nano-targeting or mass appeal, what makes persuasive climate communications? - Impact of Social Sciences
Are nano-targeting tools capable of creating more persuasive climate communications, or broad appeal messages still the best way to move audiences on climate?
πICYMI: "Increasing support for climate action does not require sophisticated, ethically questionable or costly communication systems"
@miriamsorace.bsky.social @simonhix.bsky.social @fresejoris.bsky.social
#CilmateAction #SciComm #COP30
17.11.2025 16:10 β π 7 π 4 π¬ 0 π 0
Nano-targeting or mass appeal, what makes persuasive climate communications? - Impact of Social Sciences
Are nano-targeting tools capable of creating more persuasive climate communications, or broad appeal messages still the best way to move audiences on climate?
Nano-targeting or mass appeal, what makes persuasive climate communications?
@miriamsorace.bsky.social @lsedatascience.bsky.social, Thomas Robinson @lsemethodology.bsky.social, @simonhix.bsky.social @epssnet.bsky.social and @fresejoris.bsky.social @eui-eu.bsky.social for @lseimpactblog.bsky.social
12.11.2025 11:41 β π 8 π 6 π¬ 0 π 0
Nano-targeting or mass appeal, what makes persuasive climate communications? - Impact of Social Sciences
Are nano-targeting tools capable of creating more persuasive climate communications, or broad appeal messages still the best way to move audiences on climate?
π₯New: Nano-targeting or mass appeal, what makes persuasive climate communications?
βοΈ @miriamsorace.bsky.social,Thomas Robinson, @simonhix.bsky.social & @fresejoris.bsky.social
#COP30 #ClimateComms #NanoTargeting
10.11.2025 10:59 β π 9 π 6 π¬ 0 π 0
Public Opinion Analytics Lab
The website of the Public Opinion Analytics Lab
"While testing one dimension at a time can yield simple results, those effects may not generalise to richer, real-world contexts."
Read our new POAL Methods Briefs on Conjoint Experiments from Thomas Robinson!
Link: www.poal.co.uk/research/met...
10.11.2025 08:47 β π 12 π 10 π¬ 0 π 2
The Public Opinion Analytics Lab (POAL) is a collaboration by Southampton, Reading, and the LSE to leverage our strengths in public opinion research for academia and beyond. Today we've published our first methods briefβ a short primer on conjoint experiments by the fantastic Thomas Robinson (LSE).
10.11.2025 10:48 β π 15 π 5 π¬ 1 π 0
Nano-targeting or mass appeal, what makes persuasive climate communications? - Impact of Social Sciences
Are nano-targeting tools capable of creating more persuasive climate communications, or broad appeal messages still the best way to move audiences on climate?
πNew @lseimpactblog.bsky.social: Nano-targeting or mass appeal, what makes persuasive climate communications?
Thomas Robinson, @miriamsorace.bsky.social @simonhix.bsky.social & @fresejoris.bsky.social explore how new tools make targeting individuals at scale with tailored communications possible
π
10.11.2025 11:20 β π 6 π 4 π¬ 0 π 0
Call for Papers | EPSS Belfast 2026 Conference
Submit your abstract or full paper for EPSS Belfast 2026. Share cuttingβedge political science research, network with peers & contribute to academic impact.
π¨ EPSS Belfast 2026 Call for Papers - One week to go! π¨
Don't forget to submit your paper or panel proposal to the European Political Science Society @epssnet.bsky.social 2026 conference - just one week to go before the deadline: epssnet.org/belfast-2026...
31.10.2025 14:00 β π 87 π 60 π¬ 0 π 4
OSF
Nano-targeting is not a persuasive weapon: it is a dissuasion and polarization weapon. New paper out osf.io/preprints/so... with the brilliant Thomas Robinson, @simonhix.bsky.social and @fresejoris.bsky.social β the first to quantify the perverse incentives/inherent democratic dangers of this tech.
16.10.2025 07:45 β π 51 π 16 π¬ 1 π 3
@poalab.bsky.social
@uniofreading.bsky.social @lseimpactblog.bsky.social @eui-sps.bsky.social
16.10.2025 07:49 β π 1 π 1 π¬ 0 π 0
Key Takeaways:
β‘οΈ Nano-targeting isn't great for positive persuasion: broad appeals work best.
β‘οΈ It's more useful for dissuading or attacking, by targeting people with what they dislike most.
β‘οΈ It can help mobilize the βalready convertedβ.
This explains why anti-system actors are most likely users.
16.10.2025 07:45 β π 5 π 2 π¬ 3 π 0
Most-disliked messages had stronger dissuasive effects than most-liked messages had persuasive ones β suggesting nano-targeting may be more effective for dissuasion and de-mobilization than persuasion.
16.10.2025 07:45 β π 4 π 2 π¬ 1 π 0
To quantify dissuasion effects, we turned to the control group respondents (N=1,000). By virtue of randomization, some individuals received β by chance β climate messaging that they personally disliked (mis-targeted), and some messaging that they liked (akin to the nano-targeted treatment).
16.10.2025 07:45 β π 1 π 1 π¬ 1 π 0
Uniquely, our study does not simply test the persuasive effects of nano-targeting, but also its polarizing and dissuasive effects. We found that nano-targeting exacerbates polarization: nano-targeting was most persuasive among already pro-climate respondents and not among the undecideds/moderates.
16.10.2025 07:45 β π 5 π 1 π¬ 1 π 0
This is great news for climate policy communication: we for example moved overall likelihood to sign an emission reduction petition to 52% with the best climate policy message, without the need for overly sophisticated message tailoring pipelines or to selectively hide policy pledges.
16.10.2025 07:45 β π 3 π 1 π¬ 1 π 0
We find that β on all our measures of persuasion β the nano-targeted group **never** out-performs the best climate message outlined above (i.e. positive + energy security frames; tax incentives on sustainable buildings, energy and trade; investment in sustainable transport and farming)
16.10.2025 07:45 β π 3 π 2 π¬ 1 π 0
For phase two (message testing), we partnered with @opiniumresearch.bsky.social to randomly assign respondents to: nano-targeted messages, the best-performing climate message, or a control condition where each individual received a bespoke but non-targeted climate policy message.
16.10.2025 07:45 β π 3 π 1 π¬ 1 π 0
We then nano-target by training a predictive model (xgboost) on first-phase conjoint data, predicting petition support by interacting policy components with individual demographics, past vote and vote intention.
16.10.2025 07:45 β π 1 π 1 π¬ 1 π 0
The calibration stage β run with @yougov.co.uk - shows that the best climate policy messaging has an optimistic frame and highlights energy security benefits, proposes tax incentives on sustainable buildings, trade and renewable energy and investment on the transport and natural investment sector.
16.10.2025 07:45 β π 2 π 0 π¬ 1 π 0
We use climate policy to illustrate and test the technique in the strongest, most realistic, and most ethical way possible, given its multi-dimensionality, the strong heterogeneity in sub-dimension support, and a clear uni-directional goal (emissions reduction) seen as a public good.
16.10.2025 07:45 β π 1 π 1 π¬ 1 π 0
We first illustrate nano-targeting as a technology, which calibrates messaging via conjoint analysis on natl representative samples and then applies eXtreme Gradient Boosting (xgboost) predictive modelling to assign the nano-targeted climate policy messages to individuals from a separate sample.
16.10.2025 07:45 β π 1 π 1 π¬ 1 π 0
Micro-targeting is seen as persuasive weapon, but experiments shows it underperforms broad appeal messaging. We introduce and test βnano-targetingβ a deeper micro-targeting approach which is now increasingly scalable. Is this blend of micro-targeting and message sub-units tailoring more effective?
16.10.2025 07:45 β π 3 π 1 π¬ 1 π 0
OSF
Nano-targeting is not a persuasive weapon: it is a dissuasion and polarization weapon. New paper out osf.io/preprints/so... with the brilliant Thomas Robinson, @simonhix.bsky.social and @fresejoris.bsky.social β the first to quantify the perverse incentives/inherent democratic dangers of this tech.
16.10.2025 07:45 β π 51 π 16 π¬ 1 π 3
OSF
A major step forward for large-scale survey research from our own Thomas Robinson & @patricksturg.bsky.social: SOCbot is a powerful AI tool for open-ended survey itemsβfast, cheap, reduces burden, and tackles longstanding measurement error in social science & labour stats
Paper: tinyurl.com/2yxcbshs
08.10.2025 08:55 β π 5 π 3 π¬ 0 π 0
LSE Collaborative Studentship with Campaign Lab
LSE Collaborative Studentship with Campaign Lab
ESRC-funded PhD @lsegovernment.bsky.social Γ Campaign Lab: New Ways to Think Political Persuasion (start Sep 2026, 3.5 yrs)
Methods-heavy (experiments/computation)
Topics: multi-stage persuasion, interpersonal mechanisms, AIβvoter interactions
π
Apply by 10 Dec 2025: www.lse.ac.uk/study-at-lse...
08.10.2025 08:49 β π 2 π 5 π¬ 0 π 0
Looking forward for my postdocs and I to host the Oxford-London Environment and Public Policy workshop at St Antonyβs College, University of Oxford, tomorrow (October 1st).
Thanks to @politicsoxford.bsky.social, @lsegovernment.bsky.social, and @leverhulme.ac.uk for support π«
So many cool papers!
30.09.2025 08:46 β π 31 π 6 π¬ 1 π 1
You have work on politics in Europe, European integration or the EU?
Submit it to next year's @epssnet.bsky.social conference section on "European and EU Politicsβ π
@bjornhoyland.bsky.social & I are open to diverse proposals with a European dimension.
25.09.2025 19:07 β π 45 π 24 π¬ 2 π 0
Delighted to feature in the latest issue of Political Insight! My piece describes how data-driven campaigning works in practice, challenges the dystopian narratives surrounding it, and outlines key safeguards to ensure that these techniques enhance - rather than undermine - democracy.
16.09.2025 12:13 β π 8 π 2 π¬ 0 π 0
Assistant Prof. in European Politics at LSE
Prev. Postdoc at Yale & PhD from Humboldt Uni Berlin | Environmental politics, political behaviour, political elites.
antoniovalentim.github.io
Political Scientist. Minnesotan/Iowan. My posts really don't reflect the opinions of my employer.
UKRI Future Leaders Fellow & Essex Uni Assoc Prof. Marine biologist obsessed with π movement. FSBI Council, Fish & Fisheries Editor. Otolith starter pack: https://go.bsky.app/2TPiypt. Video game/ animation about connectivity: www.tinyurl.com/MFCTeacherPack
- LSE Fellow in political behaviour at @lsegovernment.bsky.socialβ¬
- PhD from Bocconi (2025)
- working on electoral accountability for illiberals & authoritarians + quant methods
- π³οΈβπ he/they
https://sites.google.com/view/konstantin-bogatyrev/
Assistant Professor at Bocconi University. Research on immigration, refugees, political violence. https://www.ala-alrababah.com
Political scientist @ https://www.unibe.ch | Co-founder of https://smartvote.ch | https://smartmonitor.ch | https://Politools.net
π₯A platform for those interested in increasing the impact of academic research. π¨ Subscribe to our newsletter here: https://blogs.lse.ac.uk/impactofsocialsciences/subscribe-via-email/
Political Scientist. Postdoctoral Researcher @ University of Oxford DPIR. I study environmental politics + climate change + Latin America. He/him
Coloradan in England.
π³οΈβπ www.anthonycalacino.com
Political scientist at Durham University | Political behaviour, public opinion, political economy, political psychology - anything that helps me understand why people view the world the way they do
European Political Science Review (EPSR) is an #OpenAccess journal of the European Consortium for Political Research (ECPR).
The home of Political Studies since 1950. We advance, support & promote the global study of politics & IR. psa.ac.uk
Become a PSA member here: http://psa.ac.uk/members
Parent. Spouse. Political Scientist. Political psychology, extremism, AI, research methods, populism. BYU undergrad and NU grad alum
Postdoc at FGV/EAESP. Previously Max Weber Fellow at EUI | Studying elites' consequences to public transparency, electoral competition, affective polarization and SLBs.
rochavirginia.com
Professor of Political Science, University of Oslo. Interests: EU politics, comparative legislative politics, comparative European Politics & political data science.
Economist. Director @CenTaxUK.bsky.social, AssocProf
@WarwickEcon.bsky.social, co-chair @DiscoverEcon.bsky.social, ResearchFellow @TheIFS.bsky.social, @cagewarwick.bsky.social, @LSEInequalities.bsky.social
Publishing original and substantial contributions to the study of comparative European politics.
A journal from @ecpr.bsky.social and @cambup-polsci.cambridge.org
Political scientist at University of Oxford. Voting, elections, discrimination, conjoint/field experiments, in-group voting, immigration attitudes, politics, representation. https://www.compas.ox.ac.uk/people/sanne-van-oosten/
PhD candidate in Political Science @emppolitikwiss.bsky.social @unidue.bsky.social
Project Officer #POLITSOLID project
Political Scientist @DukeU. Here only my views
The European Political Science Society: the not-for-profit professional association for political science in Europe and beyond
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