  The concept of `fake news' has been referenced and thrown around in news
reports so much in recent years that it has become a news topic in its own
right. At its core, it poses a chilling question -- what do we do if our
worldview is fundamentally wrong? Even if internally consistent, what if it
does not match the real world? Are our beliefs justified, or could we become
indoctrinated from living in a `bubble'? If the latter is true, how could we
even test the limits of said bubble from within its confines? We propose a new
method to augment the process of identifying fake news, by speeding up and
automating the more cumbersome and time-consuming tasks involved. Our
application, NewsCompare takes any list of target websites as input
(news-related in our use case, but otherwise not restricted), visits them in
parallel and retrieves any text content found within. Web pages are
subsequently compared to each other, and similarities are tentatively pointed
out. These results can be manually verified in order to determine which
websites tend to draw inspiration from one another. The data gathered on every
intermediate step can be queried and analyzed separately, and most notably we
already use the set of hyperlinks to and from the various websites we encounter
to paint a sort of `map' of that particular slice of the web. This map can then
be cross-referenced and further strengthen the conclusion that a particular
grouping of sites with strong links to each other, and posting similar content,
are likely to share the same allegiance. We run our application on the Romanian
news websites and we draw several interesting observations.
