Computational legal studies :
Computational legal studies : the promise and challenge of data-driven research /
edited by Ryan Whalen, Faculty of Law, National University of Singapore.
- 1 online resource (384 pages).
- Elgar studies in legal research methods .
Includes bibliographical references and index.
Contents: The emergence of computational legal studies: An Introduction / Ryan Whalen -- 1 sense and similarity: Automating legal text comparison / Wolfgang Alschner -- 2 computational legal studies, digital humanities, and textual analysis / Nina Varsava -- 3 computational stylometry: Predicting the authorship of investment treaty awards / Malcolm Langford, Daniel Behn and Runar Lie -- 4 automated classification of modes of moral reasoning in judicial decisions / Nischal Mainali, Liam Meier, Elliott Ash and Daniel Chen -- 5 on dragons, caves, teeth, and claws: Legal analytics and the problem of court data access / Charlotte S. Alexander and Mohammad Javad Feizollahi -- 6 computational legal studies in China: Progress, challenges, and future / Yingmao Tang and John Zhuang Liu -- 7 measuring surveillance chill and other regulatory impacts at scale / Jonathon W. Penney -- 8 understanding content moderation systems: New methods to understand internet governance at scale, over time, and across platforms / Nicolas Suzor -- 9 accounting for legal values / Kevin D. Ashley -- 10 is legal cognition computational? (when will deepvehicle replace judge hercules?) / Paul Gowder -- 11 rule by rules / Michael A. Livermore -- 12 purposes and challenges of legal citation network analysis on case law / Dafne van Kuppevelt, Gijs van Dijck and Marcel Schaper -- 13 needles in a haystack: Using network analysis to identify cases that are cited for general principles of law by the European court of human rights / Henrik Palmer Olsen and Magnus Esmark -- 14 agent-based modeling for legal studies / Alex Schwartz -- 15 analyzing high volumes of German court decisions in an interdisciplinary class of law and computer science students / Janis Beckedorf, Dirk Hartung and Phillip Sittig -- Index.
"Computational Legal Studies offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies. Featuring contributions from a diverse set of experts, this thought-provoking book considers the implications of computationally enabled research and the future trajectory of the field. It discusses how technological, scientific and methodological developments are not only making the traditional practice of law more efficient but are also creating new perspectives on the law and shaping how we understand it. Chapters draw on a range of examples of computational legal research to demonstrate how a wide variety of research methods, including natural language processing, machine learning, agent-based modelling, and network analysis, are transforming the relationship between law and computation. This book will prove to be a stimulating read for legal academics looking for a better understanding of this emerging field and for law students interested in new legal research techniques. It will also be a valuable resource for legal firms and computational social scientists interested in examining how law is adopting computational methods"--
9781788977456 (e-book)
Law--Methodology.
Law--Data processing.
Legal research--Methodology.
Legal research--Technological innovations.
Electronic books.
K212 / .C66 2020
Includes bibliographical references and index.
Contents: The emergence of computational legal studies: An Introduction / Ryan Whalen -- 1 sense and similarity: Automating legal text comparison / Wolfgang Alschner -- 2 computational legal studies, digital humanities, and textual analysis / Nina Varsava -- 3 computational stylometry: Predicting the authorship of investment treaty awards / Malcolm Langford, Daniel Behn and Runar Lie -- 4 automated classification of modes of moral reasoning in judicial decisions / Nischal Mainali, Liam Meier, Elliott Ash and Daniel Chen -- 5 on dragons, caves, teeth, and claws: Legal analytics and the problem of court data access / Charlotte S. Alexander and Mohammad Javad Feizollahi -- 6 computational legal studies in China: Progress, challenges, and future / Yingmao Tang and John Zhuang Liu -- 7 measuring surveillance chill and other regulatory impacts at scale / Jonathon W. Penney -- 8 understanding content moderation systems: New methods to understand internet governance at scale, over time, and across platforms / Nicolas Suzor -- 9 accounting for legal values / Kevin D. Ashley -- 10 is legal cognition computational? (when will deepvehicle replace judge hercules?) / Paul Gowder -- 11 rule by rules / Michael A. Livermore -- 12 purposes and challenges of legal citation network analysis on case law / Dafne van Kuppevelt, Gijs van Dijck and Marcel Schaper -- 13 needles in a haystack: Using network analysis to identify cases that are cited for general principles of law by the European court of human rights / Henrik Palmer Olsen and Magnus Esmark -- 14 agent-based modeling for legal studies / Alex Schwartz -- 15 analyzing high volumes of German court decisions in an interdisciplinary class of law and computer science students / Janis Beckedorf, Dirk Hartung and Phillip Sittig -- Index.
"Computational Legal Studies offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies. Featuring contributions from a diverse set of experts, this thought-provoking book considers the implications of computationally enabled research and the future trajectory of the field. It discusses how technological, scientific and methodological developments are not only making the traditional practice of law more efficient but are also creating new perspectives on the law and shaping how we understand it. Chapters draw on a range of examples of computational legal research to demonstrate how a wide variety of research methods, including natural language processing, machine learning, agent-based modelling, and network analysis, are transforming the relationship between law and computation. This book will prove to be a stimulating read for legal academics looking for a better understanding of this emerging field and for law students interested in new legal research techniques. It will also be a valuable resource for legal firms and computational social scientists interested in examining how law is adopting computational methods"--
9781788977456 (e-book)
Law--Methodology.
Law--Data processing.
Legal research--Methodology.
Legal research--Technological innovations.
Electronic books.
K212 / .C66 2020