I am attending a fascinating conference on Text Analysis and Law at Northwestern | Kellogg today, presenting some new work with Tonja Jacobi and Ted Underwood. Declining Linguistic Complexity in Supreme Court Oral Argument (presentation).
After teaching copyright law based on my own materials for several years now I have decided to release my reading materials under a creative commons license. You can find these materials on my website at https://matthewsag.com/eroc/.
These Extended Readings on Copyright can be used as a textbook or as individual modules to supplement a textbook. Unlike a regular textbook, I don’t pretend that every important issue in copyright is addressed in these materials. The modules are arranged in the order that I teach them, but most can be used in any sequence. You should consider the current offering as a Beta version. I will post additional modules and revise the existing ones on a continual basis, major revisions will be noted on this website.
I am running the 2019 Chicago Marathon in honor of my sister Rebecca who died of pancreatic cancer late last year. Rebecca’s death is incredibly sad, but her life is worth celebrating. Something else worth celebrating is that cancer deaths have declined 20 percent in the US since the early 1990s.
We have a long way to go but we are actually making progress.
The American Cancer Society supports research, treatment, prevention, and education efforts. Please help me to help them by donating to the ACS and together, we can finish the fight against cancer!
Tonja Jacobi and I will be presenting to the #LegalTech & Innovation Talks at Northwestern Pritzker School of Law this afternoon. We are going to talk about ScotusOA and how we use text mining to predict the outcomes of Supreme court cases.
Posted here mostly because my usb stick is not working.
I presented my working paper on the legal infrastructure for text data mining at IPSC yesterday and I promised to post my slides. Here it is: Public, Matthew Sag, Legal Infrastructure for TDM (IPSC August 2018). I won’t be posting a draft online for a while because I want to get more feedback from people actually working in this area. But if you would like an advanced draft, please email me.
I have not posted here in a long time, but I am still alive. Partly I have been busy some long term projects and some things that don’t fit the copyright and tech focus of this website. My work on the copyright implications of text data mining has lead to a series of projects actually doing text data mining. This has been fun and has lead to new insights about the copyright issues that have dominated a lot of work for the last decade.
Check out my new website devoted to empirical analysis of Supreme Court oral arguments: ScotusOA.com.
I joined with over seventy international copyright law experts today in calling for NAFTA and other trade negotiators to support a set of balanced copyright principles.
Policies like fair use, online safe harbors, and other exceptions and limitations to copyright permit and encourage access to knowledge, flourishing creativity, and innovation.
The following copyright principles are essential to ensure consumers’ digital rights. Copyright law should:
- Protect and promote copyright balance, including fair use
- Provide technology-enabling exceptions, such as for search engines and text- and data-mining
- Include safe harbor provisions to protect online platforms from users’ infringement
- Ensure legitimate exceptions for anti-circumvention, such as documentary filmmaking, cybersecurity research, and allowing assistive reading technologies for the blind
- Adhere to existing multilateral commitments on copyright term
- Guarantee proportionality and due process in copyright enforcement
Measuring the value of copyright and the value of copyright exceptions is methodologically challenging, but if we use the same criteria that WIPO adopts to estimate the value of copyright, then in the U.S., fair use industries represent 16% of annual GDP and employ 18 million American workers.
The Washington Principles on Copyright Balance in Trade Agreements and the new research on Measuring the Impact of Copyright Balance are located at http://infojustice.org/flexible-use
In Spring 2018 Loyola Law Chicago will offer a 2 credit course on election law co-taught by an experienced election law litigator, Ruth Greenwood, and Prof. Matthew Sag. Prof. Ruth Greenwood is the Senior Legal Counsel for Voting Rights & Redistricting for the Campaign Legal Center where she worked on the Gill v. Whitford gerrymandering case that was just before the U.S. Supreme Court.
Election Law will give students an understanding of the themes in the legal regulation of elections and politics. It will cover all the major Supreme Court cases with respect to the right to vote, regulation of political parties and candidates, redistricting, race and representation, and campaign finance. The course will also cover voter fraud and vote suppression. Election law is a product of federal and state law, both constitutional and statutory. Consequently, this course provides a good foundation for students interested in constitutional or statutory litigation.
Loyola students please note that the course will be graded by class participation and either a paper or a take-home exam. This course is available to 1L students as a perspectives elective.
[This is not an official Loyola Law School announcement]
On March 29, 2017, I attended a fantastic conference on “Globalizing Fair Use: Exploring the Diffusion of General, Open and Flexible Exceptions in Copyright Law” hosted by American University Washington College of Law’s Program and Information Justice and Intellectual Property. As part of that event we held a webcast Q&A session moderated by Sasha Moss of the R Street Institute. The following is rough transcript of my comments in response to Sasha’s questions about the legality of the non-expressive use copyrighted works.
Copyright Questions For the Digital Age
There is no country in the world where simply reading a book and giving someone information about the book, such its subject or themes, whether it uses particular words or particular combinations of words, the number of words, the number of pages, the ratio of female to male pronouns, etc., would amount to copyright infringement.
Why? Because information about the book is not the book. It is metadata. The question for the digital age is, “Can we use computers to produce that kind of data?” This question is important because although I can read a few books and produce some useful metadata, I can’t read a million books. But a computer can.
We have the technology
We have the technology to digitize large collections of books in order to produce data that enables computer scientists, linguists, historians, English professors, and the like, to answer important research questions. The data and the questions it can be used to answer do nothing to communicate the original expression of all those millions of books. However, technically speaking, this kind of digitalization is still copying.
But is this the kind of copying that copyright law should be concerned about? If a tree falls in an empty forest, does it truly make a sound? If something is copied but only read by a computer and the computer only communicates metadata about the work, is that the kind of copying this should amount to copyright infringement?
Text mining is vital for machine learning, automatic translation, and developing the language models
It seems to me, that once you phrase the question that way the answer is clear. We all use this amazing technology on a daily basis when we rely on Internet search engines, but text mining use is about much more than this. By data mining vast quantities of scientific papers, researchers have been able to identify new treatments for diseases. Text mining has also allowed humanities scholars to identify patterns in vast libraries of literature. Text mining is vital for machine learning, automatic translation, and developing the language models the power dictation software.
Fair use and technological advantage
The United States is a world leader in various applications of text mining, starting with Internet search, but going far beyond that. In the United States, once people realized what was possible they more or less start doing it. If Larry Page and Sergy Brin had had the idea for the Google Internet search engine in Canada, Australia, England, or Germany in the 1990s it would have been crystal-clear that because their search engine relied on making copies of other people’s HTML webpages and there was no realistic way to obtain permission from all those people, building search engine would be illegal. In countries with a closed list of copyright exceptions and limitations, or with fair dealing provisions that are tied to specific narrowly defined purposes, a lawyer would have looked at the list and said, “I don’t see Internet search or data mining on that list, so you can’t do it.”
The fair use doctrine reinforces copyright rather than negating it
In the United States, we have the fair use doctrine, which means that the list is not closed. In the United States, the fair use doctrine means you at least get a chance to explain why your particular use of a copyrighted work is for a purpose that promotes the goals of copyright, is reasonable in light of that purpose, and is unlikely to harm the interests of copyright owners. The fair use doctrine reinforces copyright rather than negating it; fair use doesn’t mean that you get to do whatever you want. Fair use is a system for determining how copyright should apply in new situations. That is especially important whether the law was written decades ago and society and technology are changing fast.
Without something like fair use, other countries can only follow the United States
Without something like fair use, other countries can only follow the United States. Non-expressive uses of copyrighted works such as text mining, building an Internet search engine, or running plagiarism detection software have all been held to be fair use in the United States and are slowly becoming more accepted around the world. Of course, now that it is readily apparent that these activities are immensely beneficial and entirely non-prejudicial to the interests of copyright owners we could probably write some specific amendments to the copyright act to make them legal. The problem is, do we didn’t know this two decades ago when we actually needed those rules. I don’t know what the next thing that we don’t know is, but I do know that experience has shown that the flexibility of the fair use doctrine—which has been part of copyright law virtually since the English Statute of Anne in 1710, by the way—has worked better than a system of closed lists.
The fair use doctrine is a real source of competitive advantage for technologists and academic researchers in the United States. Right now, there are technologies being developed and research being done in the United States that either can’t be done in other countries, or can only be done by particular people subject to various arbitrary restrictions. Whether it’s Internet search, digital humanities research, machine learning or cloud computing, other countries have followed the United States in adopting technologies that make non-expressive use of copyrighted works, because some of the copyright risks begin to look less daunting once the practice has become accepted. The Europeans, for example, are pretty sure building a search engine must be legal, but they can’t quite agree why. But the thing to understand is that you can follow this way but you can never lead. It’s much harder to do the new thing if by the letter of the law it is illegal and you have no forum to argue that it should be allowed.
The future doesn’t have a lobby group
Of course, that’s not quite true, you have one forum … you can spend a vast amount of money are lobbyists and go to the government, go to Congress and try to get some favorable rules written. But even if that is successful from time to time, those rules have a particular character. A company that spends millions of dollars on a lobbying campaign to change the law is always going to try and make sure that those new rules only benefit its business. Special interests will get some laws changed, but usually in ways that disadvantage their competitors or exclude alternative technologies that might one day compete with them. The fundamental problem with relying on static lists of copyright exceptions and lobbying to get those lists revised as needed is that the future doesn’t have a lobby group.
If you would like to read more about these topics:
- Matthew Jockers, Matthew Sag & Jason Schultz, Brief of Digital Humanities and Law Scholars in Support of Defendants-Appellees and Affirmance in Authors Guild v. Google (13-4829) (July 10, 2014)
- Matthew Jockers, Matthew Sag & Jason Schultz, Digital Archives: Don’t Let Copyright Block Data Mining, 490 Nature 29-30 (October 4, 2012)
- Matthew Sag, Orphan Works as Grist for the Data Mill, 27 Berkeley Technology Law Journal 1503 – 1550 (2012)
- Matthew Sag, Copyright and Copy-Reliant Technology, 103 Northwestern University Law Review 1607–1682 (2009)