New paper in Nature Human Behaviour.
I use a conjoint experiment to evaluate the capabilities of the latest models for context-sensitive moderation and compare the results with those from human subjects, demonstrating how social science techniques can enhance AI auditing. 💻🤖💬
📢 Call for Reviewers: WOAH @ #EMNLP2026
WOAH is looking for reviewers to help evaluate submissions for our 10th edition at EMNLP 2026.
Interested in serving as a reviewer?
🔗 https://t.co/1pPuTGFCXL
Thank you for helping us make #WOAH2026 a success!
#NLP#AI#OnlineSafety
✨New paper out @SpringerNature✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we custom-built. Do engagement-based algorithms amplify intergroup, moral & emotional content + does that distort how we see political norms? 🧵
Mercor has some interesting opportunities for getting involved in evaluating frontier AI models. I have found it an insightful experience, and you can get paid for helping to make AI less sloppy! Happy to chat if anyone has questions.
https://t.co/LFAtR61MRc
🚨 Update: WOAH Mentorship @ #EMNLP2026 🚨
Deadline extended to April 17! 📅
Still time to apply as mentor or mentee and develop your WOAH submission with expert guidance 💡
📝 Mentor: https://t.co/Z9OUFx8kRe
📝 Mentee: https://t.co/gtFinlUxsU
Join us! 🌍 #NLP#WOAH
AI-generated summaries of history led to more liberal opinions compared to Wikipedia, while summaries by chatbots prompted to use a conservative framing produced more conservative opinions—but primarily among conservative readers. In PNAS Nexus: https://t.co/7h5RgyQ1Rj
Call for Submissions: AI for Social Science Methodology @yaledatascience
• Keynote: @NAChristakis
• Panel with editors of leading journals on publishing AI research
• Mentoring roundtables for early-career scholars
• Generous travel support
Discussion-driven, high-quality research.
📩 Submit your work:
https://t.co/ABS3tc3VAn
Please share with colleagues working at the AI × social science frontier! @Yale@PopAssocAmerica
Want to learn about computational social science *for free* and identify new research partners across academic fields? Apply to one of the 2026 Summer Institutes in Computational Social Science (described in yellow in the attached map) here: https://t.co/trE4O9OhCc
New paper in Nature Human Behaviour.
I use a conjoint experiment to evaluate the capabilities of the latest models for context-sensitive moderation and compare the results with those from human subjects, demonstrating how social science techniques can enhance AI auditing. 💻🤖💬
Article by @thomasrdavidson examines how multimodal LLMs evaluate hate speech: larger models aligned with human judgment in context-sensitive decisions, but pervasive demographic and lexical biases remain, and visual identity cues may amplify disparities.
https://t.co/Rv7i9PrqvU
New paper in Nature Human Behaviour.
I use a conjoint experiment to evaluate the capabilities of the latest models for context-sensitive moderation and compare the results with those from human subjects, demonstrating how social science techniques can enhance AI auditing. 💻🤖💬
Overall, these results show that MLLMs can make more context-sensitive moderation decisions than text-based classifiers. These systems still make mistakes, and context can cut both ways, eliminating some biases while enabling others. Human oversight thus remains essential.
I'm recruiting multiple PhD students for Fall 2026 in Computer Science at @JHUCompSci 🍂
Apply to work on AI for social sciences/human behavior, social NLP, and LLMs for real-world applied domains you're passionate about!
Learn more https://t.co/KbTJevMb8J & help spread the word!
@cbarrie Congrats, looks like an amazing resource, particularly the multimodal component (something I have been kicking myself for not collecting in earlier times!)
Should WOAH start a mentorship programme? 🤔
As the workshop grows, reviewer expectations are rising.
We don’t want contributors from adjacent communities penalised by *CL norms.
Senior PhDs and beyond could be mentors.
Share your thoughts:
👉 https://t.co/P81Tg5c8U2