Google and Ye Shall Be Found: Privacy, Search Queries, and the Recognition of a Qualified Privilege
Bibliographic record
Abstract
I. INTRODUCTION Modern technology allows us to record and maintain massive amounts of personal information, increasing the amount of data flowing from the private sector to the Government. (1) The popularity and success of the Internet is due in large part to search engines, which facilitate navigation through vast amounts of information. (2) Search engine use is becoming the primary activity on the Internet, a close second to email. (3) Most, however, do not realize that search engines accumulate massive amounts of data including personal information such as names, addresses, and social security numbers. (4) Privacy advocates and search industry watchdogs have warned about these caches of information and the threat they pose, expressly considering the vulnerability to thieves, rogue employees, mishaps or government subpoenas. (5) Google's stated mission is to organize the world's information and make it universally accessible and useful. (6) The lofty goal of this internet search engine giant and its rivals have recently put them at the forefront of the war over a federal law designed to shield children from online pornography: the Child Online Protection Act (COPA). (7) The Department of Justice has served subpoenas on Yahoo, MSN, America Online, and Google, hoping to show that online filters meant to shield children from harmful content are inadequate. (8) This prompted the submission of millions of users' search records by these services, except Google. (9) Google's resistance to the government's subpoena attracted the attention of privacy advocates. (10) This Note highlights the battle over online privacy and advocates for a specific form of protection: the recognition of a federal common law qualified discovery privilege for search queries. It will begin by discussing the rise of the Internet to a virtual library of all human achievement, the role of search engines in discovery, and the invasion of privacy that occurs when these queries are revealed. Next, it will discuss Google and its fight against the Department Of Justice, including the privacy implications, followed by an analysis of Fourth Amendment and its inability to adapt to growing technologies. Finally, it will discuss the creation of the proposed privilege and possible arguments by proponents and opposition alike. This Note will conclude with a discussion of the scope and architecture of the privilege, examining the way it promotes both the goals of discovery and concerns over privacy. A. The Problem of Modern Informational Glut The benefits of living in the Information Age do not come without a price. Participation requires that we form relationships with a vast number of entities including Internet Service Providers (ISPs), cellular phone companies, credit card companies, and banks with online services. Furthermore, the future of the Internet as a virtual Royal Library of Alexandria requires effective filtering tools to unearth relevant information. (11) One fear is that technology lowers the cost of thinking, while increasing the quantity of thinking, which ultimately can drown us in data. For example, in 1850 only four percent of American workers handled information on the job. (12) Now, the phenomenal growth of information available online exceeds our ability to process it and frustrates the Internet's role as a virtual library. (13) Fortunately, along with the advent of the Internet, many were eager to develop new ways to navigate this new information repository. Like the printing press, search engines opened access to information once only available to the elite. B. The Detective, the Librarian, and the Attendant The development of search engines was necessary to avoid information overload. The first search engine, Archie, was developed in 1990 at McGill University in Montreal. (14) At the time, files were scattered on public anonymous File Transfer Protocol (FTP) servers, and the location of the files would remain secret unless disclosed. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".