LII Announce
Two Events on Two Coasts with One Purpose | Law via the Internet 2017: Friends, Namesakes, and Global Impact |
At LII we think a lot about the relationship between the law and the general public. This year at the Law Via the Internet Conference, LII staff gave presentations that each, in their own way, were about how members of the public interact with the law.
Craig Newton gave a presentation entitled “When Law Goes Viral: The Implications of Social Media for Online Law Publishers.” He showed data from more than 28 million user sessions on the LII web site from January through June of 2017, exploring the specific characteristics of social media-driven traffic – particularly the smaller amount of time people referred by social media spend on the page they’ve been referred to and the smaller number of pages they tend to visit.
Sara Frug, Sylvia Kwakye, and Nic Ceynowa presented the engineering team’s progress reviving the Docket Wrench application, which makes it easier to review electronic rulemaking comments. The recent concern over fake comments on net neutrality submitted in bulk to the FCC has renewed interest in public participation in the notice-and-comment rulemaking process. The Docket Wrench application will help people involved in regulatory work find comments from repeat corporate participants and see how members of the public are weighing in.
Whether we’re looking at public participation in the development of future regulations or public self-education about what the law really says, LII has a unique set of opportunities to see what people care about and help provide them with more context for what they are reading. In other words, we help *people* find and understand the law.
Latest
- What Are the Resources at Public.Resource?
- Fair Use & Free Law
- Free Law Litigation since Georgia v. PRO
- Putting the pieces together: How the research fits in
- We’re hiring: DevOps Engineer
- LII’s 2021 in Review
- New Year’s Traditions
- Join the Ranks of the Almost Famous
- Time to Feed the Elephant!
- Embedded Research Helps Everyone: Fairness in Artificial Intelligence