Posted February 11, 2018 08:06:18When it comes to Google searches, the search giant is no stranger to fake news, and the tech giant has been trying to push back against claims of bias.
According to a new study, however, the tech company’s efforts are working.
The study, which was released Tuesday by researchers at Stanford University, found that the search engine’s algorithm can filter the results of tweets with the term “fake news” based on user sentiment.
For example, when a user searches for “fake,” the algorithm will return a list of results that look more like the results from Google’s trending topics section.
The researchers also looked at the number of tweets containing the phrase “fake” or “spam,” and the number for which the search term was linked to a Google account.
Those who saw the term as trending also tended to see the word “spammy” more often.
The Google algorithm will also highlight stories that contain the phrase, and “spooky” stories that include the phrase as a link to a link.
The results also showed that the Google algorithm’s filter is only working on tweets that are linked to Google accounts, not accounts that aren’t linked to any accounts.
The researchers note that this may be because Google accounts are generally not linked to the same accounts as real accounts, but it’s unclear whether this is the case with the search terms “fake, fake, fake,” or “fake and spam.”
Google is currently rolling out a new tool called the “News Feed” that will let users filter their search results based on sentiment.
The feature will appear in the search bar at the top of the page.