AS search evolves, so does our commitment to information integrity
At the Search Prompt Integrity & Learning Lab (SPILL), we address the challenges of misinformation using a sociotechincal and interconnected approach. By analyzing how information flows across platforms, we aim to detect misinformation before it goes viral, develop innovative tools for understanding corrupted terms, and design educational resources to help individuals find reliable information. Through interdisciplinary and international collaboration, SPILL will translate our findings and tools into multiple languages to support the global fight to protect democracy, health, finance, and other critical sectors.
“Our lab is a research and educational environment designed to investigate and mitigate the impact of data void “spillover” across platforms.”
Francesca Tripodi
The Latest from SPILL
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Refractive Datasets as a Sensemaking Methodology in Closed Data Ecosystems
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Curating the Commons: AI, Wikipedia, and Notability (U.K.-U.S. Collab. Project)
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Abortion Near Me? The Implications of Semantic Media on Accessing Health Information
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Ms. Categorized: Gender, notability, and inequality on Wikipedia (Women's Biographies)
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“Too Soon” to count? How gender and race cloud notability on Wikipedia
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‘Do your own research': affordance activation and disinformation
