Law Professors who write about the Internet tend to develop facts through a combination of anecdote and secondary-source research, through which information about the conduct of computer users, the network’s structure and architecture, and the effects of regulation on innovation are intuited, developed through stories, or recounted from others’ research. Although I think a lot of legal writing about the Internet is very, very good, I’ve long yearned for more “primary source” analysis.
In other words, there is room and need for Internet law scholars who write code. Although legal scholars aren’t about to break fundamental new ground in computer science, the hidden truths of the Internet don’t run very deep, and some very simple code can elicit some important results. Also, there is a growing cadre of law professors with the skills needed to do this kind of research. I am talking about a new form of empirical legal scholarship, and empiricists should embrace the perl script and network connection as parts of their toolbox, just as they adopted the linear regression a few decades ago.
I plan to talk about this more in a subsequent post or two, but for now, let me give some examples of what I’m describing. Several legal scholars (or people closely associated with legal scholarship) are pointing the way for this new category of “empirical Internet legal studies”.
- Jonathan Zittrain and Ben Edelman, curious about the nature and extent of filtering in China and Saudi Arabia, wrote a series of scripts to “tickle” web proxies in those countries to analyze the amount of filtering that occurs.
- Edelman has continued to engage in a particularly applied form of Internet research, for example see his work on spyware and adware.
- Ed Felten—granted, a computer scientist not a law professor—and his graduate students at Princeton have investigated DRM and voting machines with a policy bent and a particular focus on applied, clear results. Although the level of technical sophistication found in these studies is unlikely to be duplicated in the legal academy soon, his methods and approaches are a model for what I’m describing.
- Journalist Kevin Poulsen created scripts that searched MySpace’s user accounts for names and zip codes that matched the DOJ’s National Sex Offender Registry database, and found more than 700 likely matches.
- Finally, security researchers have set up vulnerable computers as “honeypots” or “honeynets” on the Internet, to give them a vantage point from which to study hacker behavior.
What are other notable examples of EILS? Let’s keep with the grand Solovian tradition, and call this a Census. Is this sub-sub-discipline ready to take off, or should we mere lawyers leave the coding to the computer scientists?