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Articles 1 - 2 of 2
Full-Text Articles in Courts
Qualitative Leveraging Natural Language Processing To Establish Judge Incrimination Statistics To Educate Voters In Re-Elections, Aurian Ghaemmaghami, Paul Huggins, Grace Lang, Julia Layne, Robert Slater
Qualitative Leveraging Natural Language Processing To Establish Judge Incrimination Statistics To Educate Voters In Re-Elections, Aurian Ghaemmaghami, Paul Huggins, Grace Lang, Julia Layne, Robert Slater
SMU Data Science Review
The prevalence of data has given consumers the power to make informed choices based off reviews, ratings, and descriptive statistics. However, when a local judge is coming up for re-election there is not any available data that aids voters in making data-driven decision on their vote. Currently court docket data is stored in text or PDFs with very little uniformity. Scaling the collection of this information could prove to be complicated and tiresome. There is a demand for an automated, intelligent system that can extract and organize useful information from the datasets. This paper covers the process of web scraping …
Transparency In Plea Bargaining, Jenia I. Turner
Transparency In Plea Bargaining, Jenia I. Turner
Faculty Journal Articles and Book Chapters
lea bargaining is the dominant method by which our criminal justice system resolves cases. More than 95% of state and federal convictions today are the product of guilty pleas. Yet the practice continues to draw widespread criticism. Critics charge that it is too coercive and leads innocent defendants to plead guilty, that it obscures the true facts in criminal cases and produces overly lenient sentences, and that it enables disparate treatment of similarly situated defendants.
Another feature of plea bargaining — its lack of transparency — has received less attention, but is also concerning. In contrast to the trials it …