Publication Library
The Use of Readability Metrics in Legal Text A Systematic Literature Review
Description: Understanding the text in legal documents can be challenging due to their complex structure and the inclusion of domain-specific jargon. Laws and regulations are often crafted in such a manner that engagement with them requires formal training, potentially leading to vastly different interpretations of the same texts. Linguistic complexity is an important contributor to the difficulties experienced by readers. Simplifying texts could enhance comprehension across a broader audience, not just among trained professionals. Various metrics have been developed to measure document readability. Therefore, we adopted a systematic review approach to examine the linguistic and readability metrics currently employed for legal and regulatory texts. A total of 3566 initial papers were screened, with 34 relevant studies found and further assessed. Our primary objective was to identify which current metrics were applied for evaluating readability within the legal field. Sixteen different metrics were identified, with the Flesch-Kincaid Grade Level being the most frequently used method. The majority of studies (73.5%) were found in the domain of "informed consent forms". From the analysis, it is clear that not all legal domains are well represented in terms of readability metrics and that there is a further need to develop more consensus on which metrics should be applied for legal documents.
Created At: 05 December 2024
Updated At: 05 December 2024
An Empirical Examination of the Evaluative AI Framework
Description: This study empirically examines the “Evaluative AI” framework, which aims to enhance the decision-making process for AI users by transitioning from a recommendation-based approach to a hypothesis-driven one. Rather than offering direct recommendations, this framework presents users pro and con evidence for hypotheses to support more informed decisions. However, findings from the current behavioral experiment reveal no significant improvement in decision-making per formance and limited user engagement with the evidence provided, resulting in cognitive processes similar to those observed in traditional AI systems. Despite these results, the framework still holds promise for further exploration in future research
Created At: 04 December 2024
Updated At: 04 December 2024
7 New AI Tools
Description: 7 New AI Tools You Won't Believe Exist
Created At: 04 December 2024
Updated At: 04 December 2024
What is Time - Stephen Wolfram New Theory
Description: What is Time? Stephen Wolfram’s Groundbreaking New Theory
Created At: 04 December 2024
Updated At: 04 December 2024
Best AI Video Generator in 2024 - Top 5 Tools We Recommend
Description: Best AI Video Generator in 2024 (Top 5 Tools We Recommend!)
Created At: 04 December 2024
Updated At: 04 December 2024