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_research_directions/poli-sci/ideology-and-polarization.md

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overlay_image: /assets/images/research_directions/poli-sci/social_media.webp
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excerpt: ""
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- title: ""
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image_path: /assets/images/research_directions/poli-sci/ideology-and-polarization/intro.jpg
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excerpt: "Our research on ideology and polarization explores how digital platforms amplify partisan divides and shape political discourse across societal contexts. It focuses on understanding the expression, measurement, and impact of ideological differences in shaping public opinion, both within and across linguistic and cultural boundaries. This area highlights the interplay between technology, political behavior, and societal cohesion in an increasingly interconnected world."
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project_1:
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- title: "Party Prediction for Twitter "
2013
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Our research on ideology and polarization explores how digital platforms amplify partisan divides and shape political discourse across societal contexts. It focuses on understanding the expression, measurement, and impact of ideological differences in shaping public opinion, both within and across linguistic and cultural boundaries. This area highlights the interplay between technology, political behavior, and societal cohesion in an increasingly interconnected world.
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# Projects
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_research_directions/poli-sci/information-integrity.md

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excerpt: "The information integrity project explores methods to enhance the accuracy and reliability of online information within the context of digital platforms and AI technologies. By analyzing how information is created, shared, and verified on social media and other digital ecosystems, we aim to develop tools and frameworks that support the identification of misinformation, reduce its spread, and bolster public trust in verified sources. This project contributes to our broader goal of understanding and mitigating the effects of digital misinformation on political discourse and social cohesion"
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- title: "Steward AI"
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excerpt: "Our survey experiment page on the effects of deepfakes."
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The information integrity project explores methods to enhance the accuracy and reliability of online information within the context of digital platforms and AI technologies. By analyzing how information is created, shared, and verified on social media and other digital ecosystems, we aim to develop tools and frameworks that support the identification of misinformation, reduce its spread, and bolster public trust in verified sources. This project contributes to our broader goal of understanding and mitigating the effects of digital misinformation on political discourse and social cohesion
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# Projects
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{% include feature_row id="projects"%}

_research_directions/poli-sci/social-simulations.md

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image_path: /assets/images/research_directions/poli-sci/social-simulations/intro.jpg
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excerpt: "The pernicious effects of digital manipulation campaigns can reverberate through entire societies, but evaluating them in real-world contexts is highly complex and poses ethical challenges. Through this project, we simulate a digital social environment with unprecedented control and study the properties of real world and future manipulation strategies and develop defenses against them."
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project_1:
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- title: "A Simulation System Towards Solving Societal-Scale Manipulation"
2013
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image_path: /assets/images/research_directions/poli-sci/social-simulations/social-sim.png
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excerpt: "First mixed-reality simulation system that can model both online and offline social dynamics"
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The pernicious effects of digital manipulation campaigns can reverberate through entire societies, but evaluating them in real-world contexts is highly complex and poses ethical challenges. Through this project, we simulate a digital social environment with unprecedented control and study the properties of real world and future manipulation strategies and develop defenses against them.
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# Publications
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