Check out our findings from our collaboration with @algorithmwatchch.bsky.social on AI-generated search summaries around the "10 million initiative" in Swiss politics, led by @hcorinna.bsky.social!

AlgorithmWatch CH@algorithmwatchch.bsky.social · 2mo ago

Zusammen mit @scg-uzh.bsky.social haben wir untersucht, wie die KI-generierten Antworten der Suchmaschinen von Google und Bing die Abstimmungsdebatte zur 10-Millionen-Initiative wiedergeben. Die Forschung weist auf Lücken im vorliegenden Gesetzesentwurf zur Regulierung von Online-Plattformen hin.

Thanks for the shout-out @jlgleason.bsky.social Web search has changed a lot since early 2000s. Yet, papers still rely on Broder's taxonomy of search intent from that time. It's time to change that! In this paper led by Elsa Lichtenegger we present a new taxonomy, accounting for AI search as well!

Jeffrey Gleason@jlgleason.bsky.social · 3mo ago

I've been thinking about measuring intent in AI-driven web search and came across the perfect paper! Awesome work @aurman21.bsky.social and co-authors! dl.acm.org/doi/pdf/10.1...

Happy to share that the Social Computing Group received the Best Poster Award at the inaugural UZH.ai Interdisciplinary Lab Exchange & Poster Session 🚀 We presented our research on AI from three angles: user, system, and interaction. Many thanks to @uzhai.bsky.social for organizing the event.

Working with web search data? Ever wanted to get access to historical data on what was trending in different locations - beyond the 7 days of such history that Google's Trending Now provides? We've got you covered with the new dataset paper, accepted at ICWSM, preprint here arxiv.org/abs/2603.21871

GoogleTrendArchive: A Year-Long Archive of Real-Time Web Search Trends Worldwide

GoogleTrendArchive is a comprehensive archive of Google Trending Now data spanning over one year (from November 28, 2024 to January 3, 2026) across 125 countries and 1,358 locations. Unlike Google Tre...

arxiv.org

We're happy to announce our new collaboration with @algorithmwatchch.bsky.social! Together, we will research the impact of AI on society and democracy with a focus on Switzerland. Stay tuned for results from the project 🚀

AlgorithmWatch CH@algorithmwatchch.bsky.social · 5mo ago

In the public discourse on AI, there is often a lack of well-founded insights into the social and democratic impacts in Switzerland. Our new research project, in collaboration with @scg-uzh.bsky.social at the University of Zurich, seeks to change this. Find out more ⤵️

Billions of people scroll every day. But what’s actually going viral on social media? 🤷‍♀️ We asked the platforms for one simple thing: their most-viewed posts. They all said no 🙃 Help us demand transparency now: mzl.la/3M8Eh9L @algorithmwatch.org @scg-uzh.bsky.social @lessurligneurs.bsky.social

Demand the Data: What’s Really Going Viral? | Mozilla Foundation

Social media platforms aren’t sharing what goes viral on their sites. Tell YouTube, Meta, TikTok, LinkedIn, and X to disclose their most-viewed content. Sign now.

mzl.la

Are you a pregnant women, a young parent or soon to become one? This paper led by Desheng Hu (He/Him), is definitely a must read !

Aleksandra Urman@aurman21.bsky.social · 9mo ago

Google AI overviews now reach over 2B users worldwide. But how reliable are they on high stakes topics - for instance, pregnancy and baby care? We have a new paper - led by Desheng Hu, now accepted at @icwsm.bsky.social - exploring that and finding many issues Preprint: arxiv.org/abs/2511.12920 🧵👇

New paper from our group member @nicolo-pagan.bsky.social and colleagues 🤓

Petter Törnberg@pettertornberg.com · 9mo ago

LLMs are now widely used in social science as stand-ins for humans—assuming they can produce realistic, human-like text But... can they? We don’t actually know. In our new study, we develop a Computational Turing Test. And our findings are striking: LLMs may be far less human-like than we think.🧵

About last week's conference 😏 Elsa Lichtenegger, Desheng Hu and @aurman21.bsky.social presented their ongoing work at the Search Engines and Society Network (SEASON) conference in Hamburg last week 🔍 🌐 .

🚨 New Postdoc joining our group starting from today 🤠 Dr. Meirav Segal earned her PhD from the University of Oslo, where she worked on algorithmic fairness and recourse for allocation policies. A very warm welcome to the team 😃

About last week’s internal hackathon 😏 Last week, we -- the (Amazing) Social Computing Group, held an internal hackathon to work on our informally called “Cultural Imperialism” project.

If you thought that LLMs are reliable annotators... we have bad news for you 🫣 🤷 Check out the new paper from our group members @joachimbaumann.bsky.social (freshly graduated 😜), @aurman21.bsky.social and colleagues 😎

Joachim Baumann@joachimbaumann.bsky.social · 11mo ago

🚨 New paper alert 🚨 Using LLMs as data annotators, you can produce any scientific result you want. We call this **LLM Hacking**. Paper: arxiv.org/pdf/2509.08825