How can researchers identify covert state propaganda campaigns in China? My co-authors Yin Yuan, Molly Roberts, Brandon Stewart @bstewart.bsky.social and myself are excited to share our new article in PNAS (@PNAS): doi.org/10.1073/pnas...
Thread below.
Women in politics face a 'double burden' of toxicity - more frequent attacks AND harsher consequences. New research by @GregoryEady & @a_rasmussen shows how prejudice amplifies political toxicity. #PoliticalToxicity #RepresentationMatters #APSR @apsrjournal."
Lots of articles are in FirstView! In “News Sharing on Social Media: Mapping the Ideology of News Media, Politicians, and the Mass Public” @gregoryeady.bsky.social, Richard Bonneau, @jatucker.bsky.social, and Jonathan Nagler introduce a method to unify ideology measurement across media platforms.
NEW: Women politicians face 'double burden' of online toxicity 💻☣️
In a study co-authored by our academic, @annerasmussen.bsky.social, and Dr Gregory Eady, more light is shed on the issue of toxicity in politics
(📚@apsrjournal.bsky.social)
Read more 👇
www.kcl.ac.uk/news/women-p...
Happy our correspondence is published:
+ Narratives on gen AI: existential risks, immediate risks, acceleration, balanced risks
+ They shape public perceptions & policy
+ We need more research to understand their impact
w/ @argohdes.bsky.social A. Kasirzadeh et al.
www.nature.com/articles/s41...
Pleased to share the latest version of my paper with Arthur Spirling and @lexipalmer.bsky.social on replication using LMs
We show:
1. current applications of LMs in political science research *don't* meet basic standards of reproducibility...
For example, @sgonzalezbailon.bsky.social et al. use news-story level data with a different approach, because they have access to an incredibly large Facebook dataset: doi.org/10.1126/scie...
But, as you suggest, you could separate out classes of stories (by editorial v. ordinary story, by topic, by author, etc.) and then you'd need less data. Would just require a separate step to classify each story by class. You thus need the news story text, although the headline + URL might do.
The article's empirical section examines news organizations as a whole for pragmatic reasons. In principle, one could get ideology estimates at the story-level with, say, stories with a news organization prior. Would just require a lot of data to get reasonable precision of the estimates.
News Sharing on Social Media: Mapping the Ideology of News Media, Politicians, and the Mass Public
Figure 1
Figure 2
Figure 3
In less competitive elections, politicians shared more polarized information, finds @gregoryeady.bsky.social @richbonneau.bsky.social @jatucker.bsky.social & Nagler
doi.org/10.1017/pan....
Check it out! (ungated here: www.dropbox.com/scl/fi/y1omw...)
Kirill, Xavier, and I tried hard to make this useful to wide groups of readers: new users of shift-share IVs, experienced users, and even those who don't know they that they are users
So even in the face of equivalent rates of violence/toxicity, the effects on women/men politicians can be different: the effects of negative behaviors in any workplace are going to be experienced much more intensely if the reasons behind it are understood as sexist, racist, anti-immigrant, etc.
Yes, our paper complements @sandrahkansson.bsky.social & nazita.bsky.social bc we get at a potential mechanism why women are more likely to want to leave politics from threats/toxicity: politicians infer perpetrators' motives differently depending on who is attacked (and who the attacker is)
A practical guide to recent econometric advances with shift-share instruments, from Kirill Borusyak, Peter Hull, and Xavier Jaravel https://www.nber.org/papers/w33236
The super election year is ending, with many winners and losers.
Our new @thejop.bsky.social paper, (@henrikseeberg.bsky.social, @martinbaekgaard.bsky.social ) asks: How do winning and losing candidates see elections?
Spoiler: Losers are more concerned about fairness.
Link: doi.org/10.1086/734240
Good moment to remember this excellent paper on sports events and repression.
Autocracies will often refrain from using repression during these events (and where it is more visible), but will increase it before and after:
www.cambridge.org/core/journal...
New publication (4+ years in the making): “The Diffusion and Reach of (Mis)Information on Facebook”. shorturl.at/VE2fU
We analyze the propagation of 1B+ posts across content moderation regimes, with @davidlazer.bsky.social @jatucker.bsky.social @taliastroud.bsky.social @annenbergpenn.bsky.social
Delighted that @gregoryeady.bsky.social and my paper "Gendered Perceptions and the Costs of Political Toxicity: Experimental Evidence from Politicians and Citizens in Four Democracies" is now online @apsrjournal.bsky.social (Open access)
More in this [1/14]
"...integrating women into previously all-male units does not negatively affect men’s performance or behavioral outcomes, including retention, promotions, demotions, separations for misconduct, criminal charges, and medical conditions..."
www.nber.org/papers/w33235
cc: reporters on DefSec nom
Happy to share that research by @gregoryeady.bsky.social & me on
"Gendered Perceptions of Toxicity Online"
forthcoming @apsrjournal.bsky.social, has contributed to two news stories that made it to the front page of Danish @politiken.dk
politiken.dk/danmark/art1...
politiken.dk/danmark/art1...
🚨 NEW PAPER: When low-income Americans get $1,000/month for 3 years, what happens to their political views & behavior?
The OpenResearch Unconditional income Study reveals surprising findings about the effects of income on politics... 🧵
(1/7) 📢 New research alert!
Even when people are shown clear evidence of #discrimination, it doesn‘t change their support for anti-discrimination policies.
Read @kkrakows.bsky.social, @asmusletholsen.bsky.social, and my article in @ajpseditor.bsky.social to find out why: doi.org/10.1111/ajps...
Man I cannot endorse this abstract more
With Fox News hosts nominated for the cabinet, I wanted to share takeaways from two recently-accepted papers w @jkalla.bsky.social on partisan TV.
There's been much skepticism that partisan TV actually affects public opinion.
Our findings rebut that skepticism: partisan media matters! 🧵
Female content creators on YouTube received significantly more negative feedback for comparable content.
But the removal of public display of dislikes eliminated this gender gap and persistently increased female creator productivity and consumer demand.
sites.google.com/view/maritaf...
New (and first) paper from one of our fantastic PhD candidates at @sotonpolitics.bsky.social out in @bjpols.bsky.social
doi.org/10.1017/S000...
@conorgaughan.bsky.social will be on the job market soon(ish) so you should keep an eye on him if you're looking to hire in computational social science
