Earlier quoted context omitted.
That sounds very interesting. Tea?
That sounds very generic too. How do you even define fake? How do you know it's not fake?
The answer is: classification is now for some problem domains a tractable problem where before it required human intervention. Telling fake news from real news requires a body of data (doable), a classification algorithm (mostly a solved problem) and the will, time and other resources to actually do it.
To me it sounds very much as something worth doing and possible, that Google with their vast resources appears to drop the ball here (see Google News, which gives equal billing to ham and spam alike) leaves room for an outsider to go and tackle that problem in a decisive way.
I can see all kinds of possibilities and this to me seems like a very worthwhile task.