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Indira Sen

@indiiigo.bsky.social
655 followers 462 following 45 posts

Junior Faculty at the University of Mannheim || Computational Social Science ∩ Natural Language Processing || Formerly at: RWTH, GESIS || she/her indiiigo.github.io/

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Reposted by Indira Sen
Christina Viehmann @christinaviehmann.bsky.social · 24/09/2026
🔍 How robust are findings based on topic modeling? Our 🏆 Top Faculty Award article on #TopicModeling + #MultiverseAnalysis is now #openaccess in Communication Methods & Measures. 📄 doi.org/10.1080/19312458.2026.2714769 🔁 gesistsa.github.io/multiverse_tm/ wonderful teamwork @gesis.org 👇
doi.org
Beyond beyond standardization: studying robustness of empirical claims based on topic modeling through multiverse analysis
While topic modeling is widely used, some scholars have already announced that the application of topic modeling in social science research is impossible to standardize. Meanwhile, researchers have...
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Alex Hartland @alexhartland.bsky.social · 23/09/2026
📄 New Publication 📄 When AI Talks Politics: How reliable is ChatGPT? Co-authored with Daniela Braun, @giucarny.bsky.social and @rosanavarrete.bsky.social Now available Open Access @electoralstudies.bsky.social www.sciencedirect.com/science/arti... 🧵
sciencedirect.com
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Laura K. Nelson @lauraknelson.bsky.social · 16/09/2026
New preprint! A review article on Generative AI and Society, with the fantastic @thomasdavidson.bsky.social & Danny Karell (smartly not online!) osf.io/preprints/so... The lit on genAI is sprawling and mostly not in sociology. Our goal is to synthesize core themes relevant to sociologists. +
GENERATIVE AI AND SOCIETY
Laura K. Nelson,
Daniel Karell,
and Thomas Davidson

ABSTRACT
For sociologists, generative AI inherits the legacy of earlier computational technologies:  it is an advancement of machine learning already adopted as a methodology, and it intervenes in a society already shaped by algorithmic systems. Yet it also has a dimension that distinguishes it from previous computational methods, and one that makes it inherently sociological: its interactivity. In this review, we conceptualize the interactivity of generative AI and introduce a framework for understanding how it operates across individual, organizational, and institutional life. Specifically, the framework specifies how generative AI expands users, functions as a proxy for society, and expresses power,
both in sociological practice and in society. We conclude by suggesting three dynamics driven by generative AI that sociology will face in the near future: the transformation of scientific practice, the reorganization of social interaction, and the acceleration of algorithmic governance.

Keywords: generative AI,  interaction, computational sociology, methods, algorithms, algorithmic governance
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Complexity Science Hub @csh.ac.at · 24/08/2026
𝗜𝗳 𝘆𝗼𝘂'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝘁, 𝘄𝗵𝗲𝗿𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘁𝘂𝗿𝗻? Whether you're a journalist, a panel discussion organizer, or a decision-maker looking for expert advice, finding the right expert is crucial. Increasingly, #AI tools help with that. 𝗕𝘂𝘁 𝘄𝗵𝗼 𝗱𝗼𝗲𝘀 𝗔𝗜 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 𝗮𝘀 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝘁, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝗳𝗮𝗶𝗿 𝗶𝘀 𝘁𝗵𝗮𝘁? 🧵👇🧪
A graphic split into two halves: on the left, a laptop screen showing an AI chat interface with 'What can I help with?'; on the right, a yellow background with a black asterisk logo and text reading 'STUDY: Who does AI recommend as an expert? Researchers find a bias towards white, male, senior and US-based scholars – and an interesting trade-off between accuracy or social representation across 22 LLMs
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Debora Nozza @deboranozza.bsky.social · 07/08/2026
Very happy that #IC2S22027 will be in Milan at Università Bocconi! I’m really looking forward to welcoming the computational social science community to my university and to Milan, and excited to be part of the team organizing it. See you in 2027! 🇮🇹✨
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Dirk Wulff @dirkwulff.bsky.social · 03/08/2026
🚨 Out now in TICS How can language models help cognitive science? @ruimata.bsky.social & I outline 5 uses: mapping research fields, formalizing theories, cleaning up constructs & measures, predicting behavior across tasks, and capturing environmental variation. 🔗 doi.org/10.1016/j.ti...
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Katrin Weller @kwelle.bsky.social · 04/08/2026
*JOB* My group at @gesis.org has an open position: we are looking for a candidate to support the expansion of our Trusted Research Environment for providing access to sensitive research data: gesis.jobs.personio.de/job/2707934?...
gesis.jobs.personio.de
Research Infrastructure Specialist (Postdoc) for Trusted Research Environments (DSS-26) | Jobs at GESIS – Leibniz-Institut für Sozialwissenschaften
GESIS is one of the world's leading social science infrastructure facilities, supporting researchers at all levels of their research projects with expertise and infrastructure services. We help ensure...
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Paper Skygest Team @paper-feed.bsky.social · 19/08/2025
**Please repost** If you're enjoying Paper Skygest -- our personalized feed of academic content on Bluesky -- we'd appreciate you reposting this! We’ve found that the most effective way for us to reach new users and communities is through users sharing it with their network
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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 31/07/2026
Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161
arxiv.org
How LLMs Distort Our Written Language
Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, b...
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Katrin Weller @kwelle.bsky.social · 28/07/2026
While we are still waiting for the final funding decision (which will be made by the BMFTR) for RIDLOP, we are delighted to see the Wissenschaftsrat's report that was published yesterday. So keeping our fingers crossed for the last steps in the evaluation process!
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Indira Sen @indiiigo.bsky.social · 22/07/2026
Are you curious about using LLMs to simulate or impute survey responses? In our tutorial next week at @ic2s2.bsky.social , we'll talk about some of the potentials, challenges, and open questions in this area.
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Julia M. Rohrer @dingdingpeng.the100.ci · 20/07/2026
New paper out now 🥳 When psychologists discuss generalisability, they often refer to vague notions of representativeness. We provide an accessible intro to the total survey error framework as a tool to reason about this more rigorously. w @taymalsalti.bsky.social @ruben.the100.ci >
Thinking Clearly About Sampling and Representation With the Total Survey Error Framework

Collecting a sample that represents the population of interest well constitutes a challenge across the social and behavioural sciences. Psychology in particular frequently relies on convenience samples—most notably students and, increasingly, online participants—with a tendency to either (implicitly) assume representativeness without substantive justification, or to acknowledge a lack of it only in passing. In contrast, researchers rarely engage with the actual implications for their inferences, which undermines the generalisability of psychological findings. Critically, representativeness must be defined with respect to variables relevant to the target of inference, rather than superficial demographic diversity. Here we present the Total Survey Error (TSE) framework as a methodological tool that systematically addresses the multifaceted sources of error—particularly those related to representation—that emerge throughout the research cycle. Although TSE originated in survey research, its principles are broadly applicable to any psychological study seeking inference from sample to population. We offer practical strategies for identifying, preventing, and mitigating representation errors to improve the credibility and generalisability of psychological research.

Illustration of the total survey error framework with the representation strand highlighted. It shows how coverage error, sampling error and non-response error arise during the sampling process.
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Gender Bias in NLP Workshop @genderbiasnlp.bsky.social · 10/07/2026
📢 Second Call for Papers! The 7th Workshop on Gender Bias in NLP #GeBNLP returns, co-located with AACL 2026. This time fully remote! 🚀 Still time to submit! 🗓️
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Jamie Cummins @jamiecummins.bsky.social · 08/07/2026
WE ARE HIRING! Come work with us (me + @malte.the100.ci) on developing and validating RegCheck. PhD or postdoc applications welcome. Folk with backgrounds in meta-science, psychology, (pre)clinical trials, and/or economics are especially invited to apply. jobs.unibe.ch/job-vacancie...
jobs.unibe.ch
PhD Student/ Postdoc Position in Meta-Science - Universität Bern
Universität Bern is looking for PhD Student/ Postdoc Position in Meta-Science
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Barbara Plank @barbaraplank.bsky.social · 07/07/2026
We have bigger models. Bigger conferences. Have our questions become bigger, too? That was the question I posed in my Presidential Address at #ACL2026 in San Diego. (1/6)
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Dirk Wulff @dirkwulff.bsky.social · 19/06/2026
🚨 New preprint Do LLMs have stable dispositions measurable using instruments designed for humans? Led by @jelenameyer.bsky.social, our new preprint shows that LLM responses are driven by response bias, rendering their psychological profiles method artifacts. @dgarcia.eu @arc-mpib.bsky.social
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Alondra Nelson @alondra.bsky.social · 21/05/2026
Three things said about AI and social science: it's a topic to study, a thing to critique, a tool to use. My new Daedalus essay argues these aren't three conversations; they're one. A 🧵 on "Field Theory: AI as Social Science Question, Object, and Tool." www.amacad.org/publication/...
amacad.org
Field Theory: AI as Social Science Question, Object & Tool
Uses of advanced artificial intelligence are changing how societies organize labor, govern, produce knowledge, and make meaning. In light of these developments, this essay argues that AI models, tools...
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Joshua Tucker @jatucker.bsky.social · 13/05/2026
1/ Excited to report we have a new paper out @nature.com today! The bottom line: training data for LLMs does not just fall from the sky - it is created in the context of existing social political institutions - and that has consequences for LLM output. nature.com/articles/s41...
nature.com
State media control influences large language models - Nature
Government-controlled media influences the output of large language models via their training data, and models queried in the languages of countries with lower media freedom show a stronger ...
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EACL 2027 @eaclmeeting.bsky.social · 04/05/2026
Attention #NLProc researchers, the EACL 2027 website is officially LIVE: 2027.eacl.org! 🎉 🇬🇷 Join us in Athens, Greece (Mar 9-13, 2027) at #EACL2027 📅 ARR submission deadline: Aug 6, 2026. Open to all areas of CL/NLP + related fields. Stay tuned for the detailed CfP soon!
Picture of the Acropolis in Athens, Greece
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Verena Kunz @verenakunz.bsky.social · 30/04/2026
Join us in three hours (17:00 Berlin time) as we discuss AI-generated images for factorial survey experiments @nschwitter.bsky.social!
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Nicole Schwitter @nschwitter.bsky.social · 24/04/2026
As part of the special issue Explanation and Causality in Sociology, @rubac.bsky.social, @cklamm.bsky.social and I discussed what it takes to do causal inference with text as data - whether we try to explain texts, treat them as causes, or use them as controls 💬🔍👉 link.springer.com/article/10.1...
link.springer.com
Text as Data and Causal Inference in Sociology - KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie
This article discusses and showcases approaches to causal inference with text as data, focusing on the challenges and opportunities that arise when sociological constructs are embedded in language. We...
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MilaNLP Lab @milanlp.bsky.social · 21/04/2026
We are delighted to welcome @marlutz.bsky.social to our lab over the next few months! 🎉 She'll work on the representation of different demographic groups in LLMs. #NLProc
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Nedjma Ousidhoum @nedjmaou-nlp.bsky.social · 07/04/2026
New📄(accepted at #ACL2026NLP main): W&C-Sent: 1.6k+ English sentences from social media labeled for perceived warmth (trust, sociability) & competence toward individuals and target groups (key for studying stereotypes, biased lgge, & other #NLP and #CSS applications). arxiv.org/abs/2601.06316
arxiv.org
Annotating Dimensions of Social Perception in Text: The First Sentence-Level Dataset of Warmth and Competence
Warmth (W) (often further broken down into Trust (T) and Sociability (S)) and Competence (C) are central dimensions along which people evaluate individuals and social groups (Fiske, 2018). While these...
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Dr Abeba Birhane @abeba.blacksky.app · 16/03/2026
fresh off the press from yours truly: oecs.mit.edu/pub/b61joemo... I offer an overview of algorithmic bias. I trace its historical roots, examine canonical scholarship and notable real-world incidents, and explore how algorithmic bias emerged as a field of study 1/
oecs.mit.edu
Algorithmic Bias
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Taha Yasseri @tahayasseri.bsky.social · 11/03/2026
Chapter 7: @kwelle.bsky.social of @gesis.org & @indiiigo.bsky.social of Mannheim on using social media data in CSS. Social media provides rich digital traces of human behavior, but also raises serious methodological & ethical challenges, from platform bias to reproducibility. A great guide!
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Jana Jung @janajung.bsky.social · 10/03/2026
Are you using survey-style questionnaires designed for humans to measure characteristics of LLMs? In our #EACL2026 paper, we evaluate both the reliability and validity of such tests and found that their scores do not reflect real-world model behavior. In fact, they can be deceptive! 🧵1/3
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Nicolai Berk @nicolaiberk.bsky.social · 27/02/2026
🚨 TADA Speaker Series Spring 2026 schedule is here! 🚨 We've assembled a fantastic lineup of researchers exploring the future of survey research in the age of LLMs. Mar 18 - May 27, online at 17:00 CEST. Join us! More info & signup: tada.cool
An image of the schedule with speaker images. You can find the full schedule on tada.cool.
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Lisette Espín-Noboa @lespin.bsky.social · 20/02/2026
📢 Last call for abstracts! Submit your work to the DACH-CSS Conference 2026, May 21–22 in Vienna, hosted by CSH & CEU. Accepted abstracts: 3-minute talk + poster session. 🗓 Deadline: TODAY (Feb 20) 📝 Registration open Details: computational-social-science.org/workshops/20... #CSS #DACH #Vienna
Illustration of two people standing indoors, each holding a laptop facing the other. Files appear to transfer between their screens through floating folders and documents arcing from one computer to the other. A couch, hanging lights, window, and potted plant are visible in the background.
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Philine Widmer @phinifa.bsky.social · 18/02/2026
Can feed algorithms shape what people think about politics? Our paper "The Political Effects of X's Feed Algorithm" is out today in Nature and answers "Yes." www.nature.com/articles/s41...
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eleutherai.bsky.social @eleutherai.bsky.social · 13/02/2026
Announcing our latest paper: CommonLID In collaboration with @commoncrawl.bsky.social @mlcommons.org @jhu.edu we built a LID benchmark on actual Common Crawl text covering 109 languages. Existing evaluations overestimate how well LangID works on web data. arxiv.org/abs/2601.18026
arxiv.org
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
Language identification (LID) is a fundamental step in curating multilingual corpora. However, LID models still perform poorly for many languages, especially on the noisy and heterogeneous web data of...
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Klaus Pforr @klauspforr.eurosky.social · 11/02/2026
cool, my fellow colleagues @kwelle.bsky.social and @indiiigo.bsky.social also contributed a chapter www.elgaronline.com/edcollchap/b...
elgaronline.com
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theresa gessler @gessler.bsky.social · 02/02/2026
We're excited about the next edition of our Summer School for Women* in Political Methodology, this time organized by the 💫 local team in Mannheim!
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GESIS - Leibniz-Institut für Sozialwissenschaften @gesis.org · 02/02/2026
#cometoGESIS #workwithus #Gastforschungsaufenthalt #researchvisit We invite Ph.D. students and early career postdocs to come to GESIS. Visiting researchers of the Junior Research Program are involved in our research to publish with GESIS staff, and to develop research ideas and joint projects.
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Franzi Weeber @franziweeber.bsky.social · 29/01/2026
Paper accepted to #EACL2026 main conference 🎉 @taniseceron.bsky.social, Sebastian Padó and I test multilingual LLMs before and after English-only fine-tuning and find strong cross-lingual political opinion transfer across five Western languages. www.arxiv.org/abs/2508.05553
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Manuel Tonneau @manueltonneau.bsky.social · 27/01/2026
Demographic cues (eg, names, dialect) are widely used to study how LLM behavior may change depending on user demographics. Such cues are often assumed interchangeable. 🚨 We show they are not: different cues yield different model behavior for the same group and different conclusions on LLM bias. 🧵👇
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Sarah Shugars @shugars.bsky.social · 22/01/2026
I had the absolute pleasure to visit @craicexeter.bsky.social, where I laid out an argument for how critical & computational scholars should lead the conversation on AI. We need to expand research on harms, interrogate corporate hype, and support people’s critical understanding these technologies
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Zach Levonian @zwlevonian.bsky.social · 10/01/2026
I missed this last month from @tilmanbayer.bsky.social: "AI finds errors in 90% of October's Featured Articles". Great example of human-in-the-loop LLM use for verifying Wikipedia articles. en.wikipedia.org/wiki/Wikiped...
en.wikipedia.org
Wikipedia:Wikipedia Signpost/2025-12-01/Opinion - Wikipedia
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Jessica Hullman @jessicahullman.bsky.social · 18/12/2025
Many think LLM-simulated participants can transform behavioral science. But there's been a lack of accessible discussion of what it means to validate LLMs for behavioral scientists. Under what conditions can we trust LLMs to learn about human parameters? Our paper maps the validation landscape. 1/
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Angelina Wang @angelinawang.bsky.social · 12/12/2025
Most LLM evals use API calls or offline inference, testing models in a memory-less silo. Our new Patterns paper shows this misses how LLMs actually behave in real user interfaces, where personalization and interaction history shape responses: arxiv.org/abs/2509.19364
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Lisa Oswald @lfoswaldo.bsky.social · 11/12/2025
It's out!! www.science.org/doi/10.1126/... Big thank you to my coauthors @small-schulz.bsky.social and @lorenzspreen.bsky.social, and to all participants who discussed 20 political issues over 4 weeks in 6 subreddit, 3 experimental conditions and let us observe.
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Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 09/12/2025
The Center for Information Technology Policy at Princeton invites applications for a Postdoctoral Fellow to work with Andy Guess (Politics/SPIA), Brandon Stewart (Sociology), and me (CS). puwebp.princeton.edu/AcadHire/app... Please apply before Sunday, the 13th of December!
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Martin Saveski @msaveski.bsky.social · 01/12/2025
New paper in Science: In a platform-independent field experiment, we show that reranking content expressing antidemocratic attitudes and partisan animosity in social media feeds alters affective polarization. 🧵
Today, social media platforms hold the sole power to study the effects of feed-ranking algorithms. We developed a platform-independent method that reranks participants’ feeds in real time and used this method to conduct a preregistered 10-day field experiment with 1256 participants on X during the 2024 US presidential campaign. Our experiment used a large language model to rerank posts that expressed antidemocratic attitudes and partisan animosity (AAPA). Decreasing or increasing AAPA exposure shifted out-party partisan animosity by more than 2 points on a 100-point feeling thermometer, with no detectable differences across party lines, providing causal evidence that exposure to AAPA content alters affective polarization. This work establishes a method to study feed algorithms without requiring platform cooperation, enabling independent evaluation of ranking interventions in naturalistic settings.
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Ahrabhi Kathirgamalingam @ahrabhikat.bsky.social · 28/11/2025
Preprint alert! 🥳 How are social bias and CSS interconnected? 🤔 @aytalina.bsky.social, @janabernhard.bsky.social, @valeriehase.bsky.social, and I argue that social bias shapes CSS as a field and as a methodology. Progress in CSS depends on engaging with both dimensions! osf.io/preprints/so...
osf.io
OSF
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Kenny Joseph @kennyjoseph.bsky.social · 20/11/2025
🌍 Are you new to @icwsm.bsky.social or JQD:DM and based in a low- or middle-income country? 💡 Submit a project idea, get matched with a mentor, present virtually at ICWSM'26, and prepare a submission for Sept 2026! 📢 Call icwsm.org/2026/submit.... 🚀 Apply by Jan 15 forms.gle/A9GkJboP7qi3...
icwsm.org
ICWSM 2026: Submit
ICWSM 2026: Submit
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Tiziano Piccardi @tiziano.bsky.social · 13/11/2025
🚨 I'm recruiting PhD students in Computer Science at Johns Hopkins University for Fall 2026. If you're interested in AI, HCI, and designing better online platforms and experiences, apply to work with me! More info: piccardi.me
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Joshua Claassen @jclaass.bsky.social · 13/11/2025
📢 New insights on #GenAI interviewing agents asking sensitive open questions compared to a text-based web survey. Answers to male agent include more topics, but no evidence of social desirability. 👉 New #OpenAccess paper with @jkhoehne.bsky.social #cneuert in #IJMR. 🌐 doi.org/10.1177/1470...
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Flor Plaza @florplaza.bsky.social · 12/11/2025
⏳ Only 5 days left to apply! Please note the updated application link (due to a recent university webpage update): 👉 PhD Candidate in Emotionally and Socially Aware Natural Language Processing careers.universiteitleiden.nl/job/PhD-Cand...
careers.universiteitleiden.nl
PhD Candidate in Emotionally and Socially Aware Natural Language Processing
PhD Candidate in Emotionally and Socially Aware Natural Language Processing
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Lucy Li @lucy3.bsky.social · 11/11/2025
It's the season for PhD apps!! 🥧 🦃 ☃️ ❄️ Apply to Wisconsin CS to research - Societal impact of AI - NLP ←→ CSS and cultural analytics - Computational sociolinguistics - Human-AI interaction - Culturally competent and inclusive NLP with me! lucy3.github.io/prospective-...
A staircase in the new School of Computer, Data & Information Sciences building at Wisconsin Madison. Tan wood structures surround tapestry art and a small indoor garden.A view from above of the staircases in the Wisconsin CDIS building An shot from below of winding wooden staircases and a glass atrium rooftop. The new School of Computer, Data & Information Sciences building at Wisconsin Madison. A bicolor white cat with seal-colored markings, looking upwards with big wide dark eyes.
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Gabriella Lapesa @gabriellalapesa.bsky.social · 11/11/2025
Join our CSS department @gesis.org! Postdoc/senior researcher position, tenure track! All info at: www.gesis.org/institut/kar...
gesis.org
Details
GESIS Leibniz Institut für Sozialwissenschaften
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Gavin Abercrombie @gavina.bsky.social · 11/11/2025
Maybe it is time to report *intra*-annotator agreement? aclanthology.org/2025.nlpersp...
aclanthology.org
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
Gavin Abercrombie, Tanvi Dinkar, Amanda Cercas Curry, Verena Rieser, Dirk Hovy. Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP. 2025.
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