Data Science

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It’s you against the bots and trolls. And, although you may not know it, you are being viciously attacked every day. To help you understand how, I am going to teach you (for informational purposes only) how to weaponize social media, and build your own troll farm. If you can read, copy, and paste, then you can do this. Let’s begin. Continue Reading →

Fake News: A Case Study

Real fake news articles feature fabricated stories crafted to push a particular agenda. In most cases, the thesis of the article is supported by alternative facts (lies). But there are more subtle, more insidious types of fake news. Specifically, articles that might pass a cursory fact check, but have been written to espouse a point of view unintended by the original author. Here’s a quick case study that demonstrates the technique and clearly illustrates why it will be nearly impossible to stop. Continue Reading →
What’s really new at CES® 2018? This year, CES will be a gathering of professionals from almost every industry. Together they will architect the technological evolution of human interaction and communication. CES has transcended its “consumer electronics show” initialism, and now it tells a story of innovation unlike any we’ve seen before. Continue Reading →
LinkedIn Top Voices in Technology 2017
I was honored to be named LinkedIn's #1 Voice in Technology for 2017. Congratulations to the other exceptional writers who made the list, and a very big thank you to my readers! As the year winds down, I thought it would be fun to recap your picks (by pageviews) for the top 10 articles of 2017. Continue Reading →

What MeToo Is Teaching AI

AI Bias
The coincidental emergence of the #MeToo hashtag and self-training, self-replicating AI systems got me thinking. How will a self-training AI system be biased when learning from the #MeToo hashtagged posts? And how would the advent of self-training AI affect the systems that control our news feeds and other curated content presented to us? Continue Reading →

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