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Carolina Haensch

@carohaensch.bsky.social
354 followers 133 following 25 posts

Postdoc at LMU Munich and Assistant Prof at UMD. A little bit of statistics, survey methodology and big data. Passionate about teaching stats.

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Reposted by Carolina Haensch
Stata @stata.bsky.social · 03/08/2026
We're at #JSM2026! If you're in Boston this week, stop by booths 400–406 to meet the Stata team, ask questions, and see what's new. And if you're planning your Wednesday schedule, don't miss our two Stata workshops. We'd love to see you!
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Carolina Haensch @carohaensch.bsky.social · 17/02/2026
Is there more background information available for the third dataset, especially regarding the specific sources/harmonization you used to create the dataset? Very cool initiative
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Reposted by Carolina Haensch
Joshua Claassen @jclaass.bsky.social · 20/01/2026
🚨 #Bots and #LLMs threaten the integrity of online surveys and public opinion research, but we can identify LLM-generated text in open narrative responses by fine-tuning #BERT. New #OpenAccess article with @jkhoehne.bsky.social @rubac.bsky.social @carohaensch.bsky.social. 👉 doi.org/10.1177/0894...
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Reposted by Carolina Haensch
Bolei Ma @boleima.bsky.social · 14/07/2025
📄 arxiv.org/abs/2412.13169 🗓️ Monday, July 28, 14:00–15:30 📍Room 1.62, Session 3: IP-Orals Looking forward to seeing you in Vienna #ACL2025! 👋 #LLMs #PublicOpinion #SurveyResearch w/ Berk @carohaensch.bsky.social @xinpeng.bsky.social Markus @barbaraplank.bsky.social Frauke @assenmacher.bsky.social
arxiv.org
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
In recent research, large language models (LLMs) have been increasingly used to investigate public opinions. This study investigates the algorithmic fidelity of LLMs, i.e., the ability to replicate th...
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Carolina Haensch @carohaensch.bsky.social · 18/06/2025
doi.org/10.48550/arX... preprint also out now on arxiv since srm has a bit of a backlog
doi.org
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
The recent development and wider accessibility of LLMs have spurred discussions about how they can be used in survey research, including classifying open-ended survey responses. Due to their linguisti...
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Carolina Haensch @carohaensch.bsky.social · 13/06/2025
We are waiting to get the proofs but I will send you the manuscript via Email in the meantimd
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Carolina Haensch @carohaensch.bsky.social · 13/06/2025
Leah von der Heyde Bernd Weiss and myself have an accepted manuscript at SRM doing this comparison for several LLMs plus a finetuned model
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Carolina Haensch @carohaensch.bsky.social · 01/06/2025
Johanna Hölzl from Uni Mannheim is working a lot on the reliability of Google Trends; she would for sure answer questions via Email
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Carolina Haensch @carohaensch.bsky.social · 05/12/2023
Similar to other preprints released in the last few months, we want to highlight the challenges of using LLMs for synthetic data creation or even public opinion estomation. While LLMs like GPT-3 hold promise for data synthesis, researchers must currently be very cautious of biases in predictions!
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Carolina Haensch @carohaensch.bsky.social · 05/12/2023
GPT-3's predictions often didn't match actual survey data from the GLES, with a notable variance in accuracy across different political parties. It performed better in predicting voters of center- and left-leaning parties than right-leaning ones. #syntheticdata
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Carolina Haensch @carohaensch.bsky.social · 05/12/2023
Our approach: We created detailed personas reflecting the German voting population, including demographic and political-ideological characteristics. These personas were used to prompt GPT-3 for voting behavior predictions. This approach is similar to a paper by Argyle et al. with ANES data. #LLM
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Carolina Haensch @carohaensch.bsky.social · 05/12/2023
First new research thread on Bluesky! Leah von der Heyde's, Alexander Wenz's and my newest preprint examines the use of Large Language Models like GPT-3 in synthesizing public opinion data, focusing on German federal elections. osf.io/preprints/so...
Two researchers discussing "We can now use LLMs to impute oder synthesize values from surveys and other data collection types!" "This is a bad idea, LLMs were never built for such tasks" The author of the tweet says "Let's find out!"
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Challenges
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
More specific points from the feminist perspective
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Important questions to ask
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
But as we say in germany, "da ist noch Luft nach oben" - we can do better
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Some framework proposals already exist!
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
How can bias be mitigated when building systems?
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Robots behaviour can serve as a validation for biased human behaviour!
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Study asking: What is the average skin color for different professions in generative AI?
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Will it all get worse with Generative AI? Probably yes
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
She first presents some examples from web search engines and other "old" systems
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Carolina Haensch @carohaensch.bsky.social · 06/10/2023
Hanan Salam at the University of Augsburg (HCAI workshop) on biases in AI Systems
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Carolina Haensch @carohaensch.bsky.social · 02/10/2023
Conference posts coming soon but for now just another blue sky over the Königssee in Bavaria from this Sunday
An Alps landscape with lake water in the lower half of the picture, afternoon sun shining from behind the mountains, blue fall sky, dreamy atmosphere and a small boat before the shore
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Carolina Haensch @carohaensch.bsky.social · 26/09/2023
Blue sky in Munich :)
The gothic town hall of Munich with a very blue and cloudless evening sky
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Reposted by Carolina Haensch
Khoa @khoavuumn.bsky.social · 26/09/2023
Not surprised that academics chose to embrace the social media closest to a paywalled journal.
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Carolina Haensch @carohaensch.bsky.social · 25/09/2023
Due to the high interest in our GOR poster, we put the poster up on OSF :) von der Heyde, L., Wenz, A., & Haensch, A.-C. (2023). Artificial Intelligence, Unbiased Opinions? Assessing GPT’s suitability for estimating public opinion in multi-party systems doi.org/10.17605/OSF...
doi.org
Artificial Intelligence, Unbiased Opinions? Assessing GPT’s suitability for estimating public opin...
Poster presented at the 25th General Online Research Conference, September 20, Kassel, Germany. The recent development and release of widely accessible large language models (LLMs) appear to have th...
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Reposted by Carolina Haensch
Sebastian E. Wenz @sewenz.bsky.social · 22/09/2023
If you have invite codes for this place to spare, please think about donating them via the following service: docs.google.com/forms/d/e/1F...
docs.google.com
BlueSky Invites
Please fill out this form if (1) you’d like to donate invite codes to scientists, clinicians, academics, and members of related communities or (2) you’re a member of one of these communities and w...
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Reposted by Carolina Haensch
Danbischof @danbischof.bsky.social · 22/09/2023
Extremely useful:
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Carolina Haensch @carohaensch.bsky.social · 22/09/2023
Sending my first skeet from #dgof_gor #gor23 :) Presented work with Leah von der Heyde and Alex Wenz on data collection through GPT-3! Feel free to take the poster home here: drive.google.com/file/d/1nrS_...
A poster at a conference with the headline "GPT can't predict how Germans vote"
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