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Cranks and Charlatans and Deepfakes

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Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Abstract

Media gate-keepers who curate information and decide which things regular people should see and read are largely superfluous in the age of social media. There have always been hoaxsters and pranksters and hucksters, but who and what online sources to trust and believe is becoming an urgent problem for us regular people. Snake oil salesmen provide insight into what to watch for when skeptically evaluating the claims of machine learning software salesreps. Digital photos are so easy to manipulate that we can’t believe what we see in pictures, of course, but now deepfake videos mean we can’t tell when video evidence is deliberately misleading. Classic faked UFO photos instruct us to pay attention to the behavior of the photographer, which can now be done automatically by analyzing tweetstorms surrounding events. Topic modeling gives a way to form time-series plots of tweetstorm subjects that can then be transformed via dynamic wavelet fingerprints to isolate shapes that may be characteristic of organic versus artificial virality.

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Notes

  1. 1.

    Warren Buffet would say compare to some Vanguard low-load index funds.

  2. 2.

    Rapping noises, not those tricks you perv.

  3. 3.

    Diamonds and such, you perv. Geez.

  4. 4.

    I said pwn here, but it was a reasonably well-controlled prospective test of ufologists.

  5. 5.

    It should be noted here that by definition all tweets have the hashtag #WorldCup because that was our query term. However, many tweets that push the character limit are truncated through the API. If #WorldCup appears in the truncated part of the tweet is does not show up in the information we pull from the API.

  6. 6.

    Here’s an actual UNC Tarheel paper that was written for an actual intro class, in which the student-athlete finished with an actual A-: On the evening of December Rosa Parks decided that she was going to sit in the white people section on the bus in Montgomery, Alabama. During this time blacks had to give up there seats to whites when more whites got on the bus. Rosa Parks refused to give up her seat. Her and the bus driver began to talk and the conversation went like this. “Let me have those front seats” said the driver. She didn’t get up and told the driver that she was tired of giving her seat to white people. “I’m going to have you arrested,” said the driver. “You may do that,” Rosa Parks responded. Two white policemen came in and Rosa Parks asked them “why do you all push us around?” The police officer replied and said “I don’t know, but the law is the law and you’re under arrest.”

  7. 7.

    As I’m typing this, oil is at $20 per barrel and some analysts are predicting single digits. Who could have predicted that?

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  1. W & M Applied Science Department, Williamsburg, VA, 23187-8795, USA

    Mark K. Hinders & Spencer L. Kirn

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Hinders, M.K., Kirn, S.L. (2020). Cranks and Charlatans and Deepfakes. In: Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint. Springer, Cham. https://doi.org/10.1007/978-3-030-49395-0_9

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