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Update to one-pagers, remove some publications
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_pages/tools-and-resources.md

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layout: splash
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header:
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overlay_image: /assets/images/trottier.webp
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overlay_filter: linear-gradient(rgba(255, 255, 255, 0.3), rgba(221, 0, 118, 0.3))
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excerpt: "Showcasing our tools and resources that bridge research innovations with real-world applications"
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_posts/papers/2023-08-25-2308.13699.md

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author: Kellin Pelrine
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categories:
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- Publications
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- ideology-and-polarization
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- poli-sci
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excerpt: "Partisanship has increasingly become a major point of contention in public discourse online, and as a result, researchers have developed a variety of methods to evaluate the party affiliations of users on social media. In this paper, we evaluate the performance of party prediction tools and propose new methods that are comparable or improve upon existing works."
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_posts/papers/2024-01-13-2401.08694.md

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author: Reihaneh Rabbany
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- poli-sci
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excerpt: LLMs struggle with hallucinations and overconfident predictions. Uncertainty quantification can improve their reliability and helpfulness. We proposed an uncertainty quantification framework that leverages both direct confidence elicitation and sampled-based consistency methods to provide better calibration for NLP misinformation mitigation solutions.
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_posts/papers/2024-07-03-2407.02807.md

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author: Zachary Yang
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categories:
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- ideology-and-polarization
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excerpt: "The COVID-19 pandemic sparked rigorous debate about public health measures online, as the timing and extent of interventions unfolded. This project evaluates partisanship and the geographical distribution of public opinion on lockdowns, masks, and vaccines using the U.S. and Canada as case studies. "
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_research_directions/poli-sci/ideology-and-polarization.md

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_research_directions/poli-sci/information-integrity.md

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_research_directions/poli-sci/social-simulations.md

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_research_directions/temporal-graph-learning/TGF.md

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_research_directions/temporal-graph-learning/tga.md

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_research_directions/temporal-graph-learning/tgb.md

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