Simply put, fake news is false, or deliberately misleading news, intended to either deceive or misinform the audience.

The topic of fake news comes up often. The national conversation about it is usually centered around two topics:  how much it has influenced and continues to influence the political opinions of Americans who frequent social media, and how something needs to be done to better identify and filter it out. At zvelo, since web categorization is our bread and butter, this is a very important and relevant issue. With the increased pressure to better classify news sources, web page categorization becomes a paramount issue for media buyers and technology companies alike. It is also equally important to better define fake news and lay out the characteristics these sites possess.

 

 

Understanding the Fake News Problem: Challenges with Identification and Categorization

Understanding the Fake News Problem: Challenges with Classification

With the recent, polarizing U.S. Presidential election, the topic of fake news has come up often. The national conversation about it is usually centered around two topics:  how much it has influenced and continues to influence the political opinions of Americans who frequent social media, and how something needs to be done to better identify and filter it out.

zveloLABS® Identifies Sites with Work-at-Home Scams

zveloLABS® researchers recently identified numerous, fictitious 7 News websites promoting work-at-home jobs.  These bogus news sites unethically target stay-at-home moms, and falsely promise the discovery of a newfound money-making path in life.  Considering the natural appeal of making an honest buck, while being loving care providers at home, it’s certainly easy to understand how unsuspecting mothers could fall for such “recession busting” opportunities.