A general approach for predicting the behavior of the Supreme Court of the United States
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pone.0174698
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bokwon Lee & Kyu-Min Lee & Jae-Suk Yang, 2019. "Network structure reveals patterns of legal complexity in human society: The case of the Constitutional legal network," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-15, January.
- Zhong, Weifeng & Chan, Julian & Ho, Kwan-Yuet & Lee, Kit, 2020. "Words Speak Louder Than Numbers: Estimating China’s COVID Severity with Deep Learning," Working Papers 10955, George Mason University, Mercatus Center.
- Davis, Yehuda & Govindaraj, Suresh & Suslava, Kate, 2024. "Does the stock market anticipate events and supreme court decisions in corporate cases?," Global Finance Journal, Elsevier, vol. 60(C).
- Alain Marciano & Antonio Nicita & Giovanni Battista Ramello, 2020.
"Big data and big techs: understanding the value of information in platform capitalism,"
European Journal of Law and Economics, Springer, vol. 50(3), pages 345-358, December.
- Alain Marciano & Antonio Nicita & Giovanni Battista Ramello, 2020. "Big data and big techs: understanding the value of information in platform capitalism," Post-Print hal-03045436, HAL.
- Anthony Niblett, 2018. "Regulatory Reform in Ontario: Machine Learning and Regulation," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 507, March.
- Zhong, Weifeng & Chan, Julian, 2020. "Predicting Authoritarian Crackdowns: A Machine Learning Approach," Working Papers 10464, George Mason University, Mercatus Center.
- Yang, Guancan & Lu, Guoxuan & Xu, Shuo & Chen, Liang & Wen, Yuxin, 2023. "Which type of dynamic indicators should be preferred to predict patent commercial potential?," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
- Ulenaers Jasper, 2020. "The Impact of Artificial Intelligence on the Right to a Fair Trial: Towards a Robot Judge?," Asian Journal of Law and Economics, De Gruyter, vol. 11(2), pages 1, August.
- Świtała Maciej, 2024. "Predicting the Amount of Compensation for Harm Awarded by Courts Using Machine-Learning Algorithms," Central European Economic Journal, Sciendo, vol. 11(58), pages 214-232.
- Yıldırım, Engin & Sert, Mehmet Fatih & Kartal, Burcu & Çalış, Şuayyip, 2023. "Non-compliance of the European Court of Human Rights decisions: A machine learning analysis," International Review of Law and Economics, Elsevier, vol. 76(C).
- Giansiracusa, Noah & Ricciardi, Cameron, 2019. "Computational geometry and the U.S. Supreme Court," Mathematical Social Sciences, Elsevier, vol. 98(C), pages 1-9.
- Daniyal Alghazzawi & Omaimah Bamasag & Aiiad Albeshri & Iqra Sana & Hayat Ullah & Muhammad Zubair Asghar, 2022. "Efficient Prediction of Court Judgments Using an LSTM+CNN Neural Network Model with an Optimal Feature Set," Mathematics, MDPI, vol. 10(5), pages 1-30, February.
- Bălan Carmen, 2018. "The Impact of Conversational Agents on Humans in Services: Research Questions and Hypotheses," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(2), pages 33-55, December.
- Frederike Zufall & Rampei Kimura & Linyu Peng, 2021. "Towards a simple mathematical model for the legal concept of balancing of interests," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_09, Max Planck Institute for Research on Collective Goods, revised 19 Oct 2021.
- Amedeo Santosuosso & Giulia Pinotti, 2020. "Bottleneck or Crossroad? Problems of Legal Sources Annotation and Some Theoretical Thoughts," Stats, MDPI, vol. 3(3), pages 1-20, September.
- Luis Enriquez, 2024. "A Personal data Value at Risk Approach," Papers 2411.03217, arXiv.org, revised Nov 2024.
- Sandra Martínez Molina & Pavia Paula Sabater & Jorge Garcés Ferrer, 2023. "Identifying Resilient and Non-Resilient Labour Conditions in Europe Using Qualitative Comparative Analysis," European Journal of Marketing and Economics Articles, Revistia Research and Publishing, vol. 6, July-Dece.
- So-Hui Park & Dong-Gu Lee & Jin-Sung Park & Jun-Woo Kim, 2021. "A Survey of Research on Data Analytics-Based Legal Tech," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
- Ignacio Ortiz Betancourt & Téllez MarÃa del Carmen Meza, 2021. "Social Media and E-commerce as Mechanisms to Enhance Entrepreneurship Among Graduate Students," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 5, September.
- Bruno Mathis, 2022. "Extracting Proceedings Data from Court Cases with Machine Learning," Stats, MDPI, vol. 5(4), pages 1-16, December.
- Mindock, Maxwell R. & Waddell, Glen R., 2019. "Vote Influence in Group Decision-Making: The Changing Role of Justices' Peers on the Supreme Court," IZA Discussion Papers 12317, Institute of Labor Economics (IZA).
- , Aisdl, 2020. "Becoming Attuned," OSF Preprints j7f8y, Center for Open Science.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0174698. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.