Christian Rauh

@chrauh.bsky.social

Amongst other things dad (P+J), political scientist (WZB Berlin & University of Potsdam), bike nerd (n+1), and music addict (Kick, Snare, Kick Kick, Snare). http://www.christian-rauh.eu

𝑯𝒐𝒘 𝒄𝒐𝒎𝒎𝒊𝒕𝒕𝒆𝒅 𝒂𝒓𝒆 𝒄𝒊𝒕𝒊𝒛𝒆𝒏𝒔 𝒕𝒐 𝒕𝒉𝒆 𝒊𝒅𝒆𝒂𝒍 𝒐𝒇 𝒅𝒆𝒎𝒐𝒄𝒓𝒂𝒄𝒚? Our new (well…) study in @ejprjournal.bsky.social suggests that commitment to democratic rights and procedures does not look particularly robust once citizens face concrete crisis-related trade-offs. (1/6)

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There are many images today of the far right mobilizing and marching, from Erfurt to DC. But today also marks the start of the Tour de France! Being a municipality located on the Tour de France route *reduces* the far-right vote share 🚴🏿🚴🏿🚴🏿 #tdf2026 #ef0407

Ala Alrababah@aalrababah.bsky.social · 11mo ago

🚨 New working paper alert 🚨 Missing summer — and the Tour de France? Don’t worry, we got you covered. 🚴‍♂️🚴‍♂️🚴‍♂️ In this paper, we show that being on the route of Tour de France reduces far-right voting. osf.io/preprints/so...

What are people really doing with chatbots? 👀 Turns out that a lot of them are writing/reading various kinds of fiction, and in particular, they're generating a ton of erotica! What does this mean for the future of reading? Paper: arxiv.org/abs/2606.22748 Web Explorer: ai-fiction-wild.com

Melanie Walsh@mellymeldubs.bsky.social · last mo.

Excited to share this. @neel2112.bsky.social, @mariaa.bsky.social, and I analyzed 500K anonymous ChatGPT convos (shared w/ consent from WildChat) to see if people were generating fiction. We found tons of stories, fanfiction & erotica. Many users iterated on the same stories for days and weeks.

Screenshot of paper abstract that reads: 

AI FICTION IN THE WILD Neel Gupta  Maria Antoniak  Melanie Walsh

Some professional authors are beginning to use AI tools to help produce their fiction writing. Are readers using AI to generate fiction, too? Drawing on over 500,000 anonymized, English-language ChatGPT-user conversations (Zhao et al.), we find that more than one third of the conversations involve some form of fiction generation—including original stories, roleplay, fanfiction, and erotica. This AI-generated fiction is notably dominated by power users. We identify common fiction generation patterns and profiles among these users, including what we call infinite story demanders, who repeatedly request and revise variations of the same or similar narratives over extended periods of time. We show that users especially gravitate toward fanfiction and erotica, and that they are broadly drawn to generic forms, repetition, immediacy, and niche combinations of story elements. Our findings motivate two theoretical provocations. First, we argue that AI technologies may lead to a shift in the conventional relationship between the author and reader, potentially producing what we call a solipsistic reader-writer, who both generates and consumes fiction within a closed conversational loop, interacting with a machine rather than a human other. Second, we note that LLMs enable interactivity, play, and permutation in ways that are seemingly pleasurable for users, raising questions about where AI will fit into contemporary storytelling and entertainment ecosystems. We situate these developments within broader transformations in literature and media, including self-publishing, fanfiction, and pornography, and suggest that AI-generated fiction shares structural affinities with on-demand, personalized, and repetitive cultural forms.

In the age of AI, there's a lot of talk about students not doing real work anymore. As a teacher, I catch myself focusing on the struggles rather than the wins. Time to fix that. A thread highlighting standout papers from my quantitative methods seminar last term @univie.ac.at. 🧵

Jetzt an der LMU: Master Computational Social Science (M.Sc.) Bewerbungen für die 2. Kohorte sind offen. Der interdisziplinäre Studiengang verbindet Kommunikationswissenschaft, Soziologie und Politikwissenschaft mit daten- und computergestützten Methoden. Info-Sprechstunde: 27. April.

LMU CSS Master

This is a very good paper and you should all read it. However, to this part, I want to reply with Arthur Spirling: "Open generative AI models are a way forward for science" (doi.org/10.1038/d415...). Seriously, please don't default to sending students and other researchers to closed models.

Screenshot from a table "TABLE 1. AI-powered text analysis workflow."

Highlighted: "Establish high-tier API access to three commercial LLMs: OpenAI's GPT-4o, Anthropic's Claude 3.5 Sonnet, Google's Gemini 1.5 Pro"
Public Opinion Analytics Lab (POAL)@poalab.bsky.social · 4mo ago

AJPS article from @kenbenoit.bsky.social, Scott de Marchi, Conor Laver, Michael Laver, and Jinshuai Ma on using LLMs to analyse political texts. 🧵 1/8 Social science research requires reliable extraction of information from texts to identify authors' preferences on various policies and issues.

Now out in the American Sociological Review We present the first large-scale assessment of the structure and evolution of temporalities expressed in U.S. climate change news coverage (2000 to 2021). For this, we analyzed more than 23,000 statements about climate change effects and actions. 🧵 1/

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