The truth at any cost lowers all other costs — curated by former US spy Robert David Steele.
Google Timeline Knows Where You Have Been We understand that to get the most out of the Internet, we sacrifice a bit of privacy; but do we all understand how far-reaching that sacrifice can be? The Intercept reveals “How Law Enforcement Can Use Google Timeline to Track Your Every Move.” For those who were not …
Continue reading “Stephen E. Arnold: Google Timeline = Police State”
Big Data and Enterprise Search: The Caution Lights Are Flashing Easy as 1,2,3 Common Mistakes Made with Data Lakes
Has Twitter finally killed the mess of the false online review? A business has built up around false online reviews where people offer to post reviews for money. But an increasing clampdown from regulators and new apps that analyse real-time social media are finally bringing such practices to an end, says Monty Munford
Understanding Trolls, Spam, and Nasty Content “From terrorist propaganda distributed by organizations such as ISIS, to political activism, diverse voices now use social media as their major public platform. Organizations deploy bots — virtual, automated posters — as well as enormous paid “armies” of human posters or trolls, and hacking schemes to overwhelmingly infiltrate the …
Big Data Myths Debunked An abundance of data is not particularly valuable without the ability to draw conclusions from it. Forbes recognizes the value of data analysis in, “Text Analytics Gurus Debunk Four Big Data Myths.” Contributor Barbara Thau observes:
The New Real Journalism: Bezos a WaPo to the Gray Lady I read “Jeff Bezos Says The Washington Post’s Goal Is to Become the New Paper of Record.” As Jack Benny used to say when someone mentioned $1 million, “Yipes.”
Entity Extraction: Human Intermediation Still Necessary I read “Facebook Should Be Able to Handle names like Isis and Phuc Dat Bich.” The article underscores the challenges smart software faces in a world believing that algorithms deliver the bacon. Entity extraction methods requiring human subject matter experts and dictionary editors are expensive and slow. Algorithms are …
