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News Personalization is Here – For Better or Worse
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Capitol Communicator -- PR News in Washington, D.C. Capitol Communicator -- PR News in Washington, D.C.
For Immediate Release:
Dateline: Washington, DC
Friday, October 20, 2017

 

It took a terrorist attack for Google to enter the news business, reports Nieman Lab, which added, that on September 11, 2001, “after hijackers crashed two commercial jets into the World Trade Center as well as a third plane into the Pentagon and another into a field near Shanksville, Pennsylvania, Internet users turned to the search engine for information. Again and again, they typed in terms like “New York Twin Towers,” but found nothing about what had happened that morning. Google’s web crawlers hadn’t indexed “Twin Towers” since the month before, which meant every result that Google returned was, given the context, totally and painfully irrelevant.

“Google quickly set up a special page for “News and information about attacks in U.S.,” with links to the websites of about four dozen newspapers and news networks, along with links to relief funds, resources, and phone numbers for airlines and hospitals. A link to this makeshift news page stayed there for weeks, just below the search bar on Google’s minimalist homepage. Within a year, Google had incorporated a news filter into its search algorithm so that timely headlines appeared atop a list of search results for relevant keywords.

“A new era of personalized news products began, in earnest, as a reaction to horrific global news.

“Today, a Google search for news runs through the same algorithmic filtration system as any other Google search: A person’s individual search history, geographic location, and other demographic information affects what Google shows you. Exactly how your search results differ from any other person’s is a mystery, however. Not even the computer scientists who developed the algorithm could precisely reverse engineer it, given the fact that the same result can be achieved through numerous paths, and that ranking factors — deciding which results show up first — are constantly changing, as are the algorithms themselves.”

The article also states that while news personalization “can help people manage information overload by making individuals’ news diets unique, it also threatens to incite filter bubbles and, in turn, bias. This “creates a bit of an echo chamber,” says Judith Donath, author of The Social Machine: Designs for Living Online and a researcher affiliated with Harvard’s Berkman Klein Center for Internet & Society. “You get news that is designed to be palatable to you. It feeds into people’s appetite of expecting the news to be entertaining … [and] the desire to have news that’s reinforcing your beliefs, as opposed to teaching you about what’s happening in the world and helping you predict the future better.”

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