On the public citation graph
Could AI Make Legalese Comprehensible to the Public?
0 signed · 8 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/acp.2350080107openalex-snapshot
Comprehension of legal contracts by non‐experts: Effectiveness of plain language redrafting
inferredcites →https://doi.org/10.1016/j.cognition.2022.105070openalex-snapshot
Poor writing, not specialized concepts, drives processing difficulty in legal language
inferredcites →https://doi.org/10.1037/xge0001572openalex-snapshot
So much for plain language: An analysis of the accessibility of U.S. federal laws over time.
inferredcites →https://doi.org/10.1109/tpc.2017.2759639openalex-snapshot
Plain Language to Minimize Cognitive Load: A Social Justice Perspective
inferredcites →https://doi.org/10.1145/3411764.3445315openalex-snapshot
Manipulating and Measuring Model Interpretability
inferredcites →https://doi.org/10.1145/3544548.3581252openalex-snapshot
Inform the Uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
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