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Full-Text Articles in Law
Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman
Publications
This article asks, what is it like for novice researchers to research real-world legal problems using four platforms: Bloomberg Law, Fastcase, Lexis Advance, and Westlaw? The study findings produced some surprises, as well as some clear implications for teaching legal research.
Market Power And Switching Costs: An Empirical Study Of Online Networking Market, Shin-Ru Cheng
Market Power And Switching Costs: An Empirical Study Of Online Networking Market, Shin-Ru Cheng
University of Cincinnati Law Review
In recent years, states have launched several antitrust investigations targeting digital platforms. A major difficulty in these investigations is demonstrating the extent of a digital platform’s market power. Market power is defined as the control of the output or the price without the loss of business to competitors. As will be explored in this Article, market power is a critical component in an antitrust analysis. On several occasions, courts have adopted the switching costs approach in their analysis of market power. According to this approach, market power may be inferred when the costs of switching from one supplier to another …
Results May Vary, Susan Nevelow Mart
Understanding The Human Element In Search Algorithms And Discovering How It Affects Search Results, Susan Nevelow Mart
Understanding The Human Element In Search Algorithms And Discovering How It Affects Search Results, Susan Nevelow Mart
Publications
When legal researchers search in online databases for the information they need to solve a legal problem, they need to remember that the algorithms that are returning results to them were designed by humans. The world of legal research is a human-constructed world, and the biases and assumptions the teams of humans that construct the online world bring to the task are imported into the systems we use for research. This article takes a look at what happens when six different teams of humans set out to solve the same problem: how to return results relevant to a searcher’s query …
Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
Data For The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
Research Data
These documents underlie and are cited in this empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 409 n.123 (2017), available at http://scholar.law.colorado.edu/articles/755/.
The ZIP file contains three files: one PDF document ("Tables for Charts 1-3"), and two SPSS files ("Data Archive" and "Syntax Archive" (SPSS version 24)). The "Syntax Archive" file may be viewed in a text editor (e.g., Notepad) as well as in SPSS.
Appendix B: The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
Appendix B: The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
Research Data
This document, "Search Instructions for Algorithm Study," is an electronic Appendix B to, and is cited in, the empirical study: Susan Nevelow Mart, The Algorithm as a Human Artifact: Implications for Legal [Re]Search, 109 Law Libr. J. 387, 400 n.78 (2017), available at http://scholar.law.colorado.edu/articles/755/.
Every Algorithm Has A Pov, Susan Nevelow Mart
Every Algorithm Has A Pov, Susan Nevelow Mart
Publications
When legal researchers search in online databases for the information they need to solve a legal problem, they need to remember that the algorithms that are returning results to them were designed by humans. The world of legal research is a human-constructed world, and the biases and assumptions the teams of humans that construct the online world bring to the task are imported into the systems we use for research. This article takes a look at what happens when six different teams of humans set out to solve the same problem: how to return results relevant to a searcher’s query …
The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
The Algorithm As A Human Artifact: Implications For Legal [Re]Search, Susan Nevelow Mart
Publications
The results of using the search algorithms in Westlaw, Lexis Advance, Fastcase, Google Scholar, Ravel, and Casetext are compared. Six groups of humans created six different algorithms, and the results are a testament to the variability of human problem solving. That variability has implications both for researching and teaching research.
Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart
Research Algorithms Have A Point Of View: The Effect Of Human Decision Making On Your Search Results, Susan Nevelow Mart
Publications
No abstract provided.