Complex Data Lab @mcgillu. Network science. Data Mining, Machine Learning. Real-world interconnected data. Social good.

McGill University, Montreal
Joined August 2020
📰 FIIR Workshop Alert! Future of Information Integrity Research 🎯 Submit abstracts/papers (Tiny and Regular) in ACM PDF format → easychair.org/conferences?co… 📅 Deadline Extended: Feb. 19 EOD AOE
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IMPORTANT Under Author -> click "make a new submission author" -> select "The Future of Information Integrity Research (FIIR) Workshop" to submit your paper. If you have any issues, please email [email protected] to submit
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Be part of the conversation, build more trustworthy information ecosystems! #FIIR2025 #information_integrity
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📰FIIR Workshop Alert! Future of Information Integrity Research 🎯Submit abstracts/papers (Tiny and Regular) in ACM PDF format → ⚠️Important: 1⃣Indicate your chosen track at the top of your PDF 2⃣Demo papers must include a link to the demo 📅Deadline: January 6th, 2026
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🥈"A Guide to Misinformation Detection Data and Evaluation" received Best Paper Runner Up at KDD Datasets and Benchmarks Track! If you're at KDD, check out our presentation and poster! Monday 18:30 - 21:00, Poster 170 Wednesday 15:30 - 17:30, Room 604
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Categorical labels can underestimate the performance of generative systems by massive amounts, as much as half the errors or more; and error analysis and other simple steps could greatly improve the rigor and real-world impact of much of the research in the field.
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We provide some practical tools for this, included lightweight recommended practices for Evaluation Quality Assurance (EQA), a toolkit to evaluate dataset quality, and the largest collection of misinformation datasets. 📜Full paper: arxiv.org/abs/2411.05060
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Complex Data Lab McGill retweeted
We're excited to announce the inaugural SMASH 2025 — Symposium on Model Accountability, Sustainability, and Healthcare — taking place @Mila_Quebec , Montreal on Nov 4–5, 2025! 🎉 Submission and registration: smashcon.org
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⚠️ Important: 1️⃣ Indicate your chosen track at the top of your PDF 2️⃣ Demo papers must include a link to the demo 📅 Deadline: Aug 29, 2025 Be part of the conversation—build more trustworthy information ecosystems! #FIIR2025 #InfoIntegrity
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💡 Strong data and eval are essential for real-world progress. In "A Guide to Misinformation Detection Data and Evaluation"—to be presented at KDD 2025—we conduct the largest survey to date in this domain: 75 datasets curated, 45 accessible ones analyzed in depth. Key findings👇
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🚀 Given these challenges, error analysis and other simple steps could greatly improve the robustness of research in the field. We propose a lightweight Evaluation Quality Assurance (EQA) framework to enable research results that translate more smoothly to real-world impact.
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👥 Research by @Cam_Thibault_ JacobTian @gabrielle_p_s TaylorCurtis JamesZhou FlorenceLaflamme LukeGuan ReihanehRabbany @JF_Godbout @KellinPelrine 📄 Read the paper: arxiv.org/abs/2411.05060 🤗 Hugging Face repo: huggingface.co/datasets/Comp… 💻 Code & website: misinfo-datasets.complexdata…
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We’re pleased to announce that our workshop SocialSim’25: Social Simulations with LLMs has been accepted at COLM 2025, taking place in Montreal on October 10.
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Details on our Shared Task on Social-Media Based Personas will be released later this week.
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