mlsanityData to 14 Oct 2026

Bridging Dictionary: AI-Generated Dictionary of Partisan Language Use

arXiv 2407.09661 ↗First posted 12 Jul 2024cs.HC cs.CLcited by 3

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Abstract (arXiv)

Words often carry different meanings for people from diverse backgrounds. Today's era of social polarization demands that we choose words carefully to prevent miscommunication, especially in political communication and journalism. To address this issue, we introduce the Bridging Dictionary, an interactive tool designed to illuminate how words are perceived by people with different political views. The Bridging Dictionary includes a static, printable document featuring 796 terms with summaries generated by a large language model. These summaries highlight how the terms are used distinctively by Republicans and Democrats. Additionally, the Bridging Dictionary offers an interactive interface that lets users explore selected words, visualizing their frequency, sentiment, summaries, and examples across political divides. We present a use case for journalists and emphasize the importance of human agency and trust in further enhancing this tool. The deployed version of Bridging Dictionary is available at https://dictionary.ccc-mit.org/.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 10 of its 24 references that are in the map. First posted on arXiv 12 Jul 2024.

Builds on

10 of 24 references.

References · 10

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  10. 2020Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spacescited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025Human-AI Narrative Synthesis to Foster Shared Understanding in Civic Decision-Makingcited by 1
  2. 2026Geospatial AI, Dataverse Metadata, and the Study of Place-Based Governmentcited by 0
  3. 2026Making Political Text Scaling Comparable: Infrastructure and Hyperparameter Sensitivity for 17 Algorithmscited by 0