Those of us working at sites like HotWired and Salon in the early days of the web realized that we were sitting atop a technology that would profoundly change virtually everything about society.
With my background in investigative reporting, I was curious about how the process of solving mysteries might be affected by the arrival of massive searchable databases of networked information. One case that caught my attention was that of the Unabomber, who’d been carrying on his one-man reign of terror since 1978, eluding a massive FBI manhunt in the process.
So I discussed with colleagues whether the Unabomber’s manifesto published by the Washington Post might somehow be analyzed for tell-tale patterns that could uncover his identify.
The engineers I consulted said that the answer was “probably yes” in the future, but “not quite yet.” As it turned out, before this technology evolved, the brother of the man who wrote the manifesto recognized certain tell-tale word choices himself and alerted the FBI.
And that is how Theodore Kaczynski was finally identified and caught. A good summary of the case is recounted in The Conversation.
Over the decades since Kaczynski’s arrest, the field of forensic linguistics has become far more developed, and now includes a number of tools to uncover plagiarism, strip away anonymity and solve crimes based on notes, letters and manifestoes.
And AI would seem to be an especially useful tool for stripping away anonymity from writing.
The basic concept here is that people’s writing voices can be as unique an identifier as their fingerprints. From the perspective of one who teaches writing, this is critical because many students start from more of a place of standardization, largely due to the way they learned to write in grade school.
Some were taught essentially to muffle their own voices.
My job, later on the down the road when they finally got to me, was to draw out their individuality, helping them diversify their word choices and rediscover their own unique style.
(Tomato Plant Mystery Update: We’ve installed a camera to try and identify the thief after a third plant disappeared.)
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