Document Analysis NLP IA
FREQ, RAKE or TFIDF
Summary (IA Generated)
America’s fake news problem is getting worse, not better.
In 2019, 8 percent of engagement with the 100 top-performing news sources on social media was dubious.
Engagement with the top 100 US news sources (meaning likes, shares, and comments on Facebook and Twitter) went from 8.
The blossoming of false and unreliable news on the internet is a cultural, political, and technological phenomenon that’s hard to get your head around, let alone tackle.
Over the summer, Kevin Roose at the New York Times reported on what he described as a “parallel media universe” of super-conservative content on Facebook, noting that right-leaning pages and posts on the platform consistently get more interactions and shares than more liberal and mainstream ones.
(Though just because someone likes a news post doesn’t mean they actually read it.
As Recode’s Rebecca Heilweil pointed out at the time, it’s hard to know what’s happening on Facebook just by engagement:.
There’s now a running debate among academics, analytics experts, and observers like Roose around what we know about what’s happening on Facebook and why.
Dartmouth political scientist Brendan Nyhan recently argued that “likes,” comments, and shares are just a small part of what people actually see on Facebook, and that it’s difficult to draw conclusions from these interactions alone or to know what they might mean for an election.
Social media is making political polarization worse in America, and it’s often the case that people no longer agree on even basic facts.
For people who complain so much about supposed social media censorship, they are not really being censored Republicans have spent years complaining that social media companies are biased against them and that their content is being censored and removed.
He and his administration have also attempted to undercut and scrap Section 230, a law that basically says social media companies are allowed to police their platforms however they want and aren’t liable for the content third parties post on them.
Rather than bias toward a certain political leaning, social media algorithms are often biased toward outrage — they push content that people have an emotional reaction to and are likely to engage with.
A conservative local news network called Star News Group announced it would launch the Georgia Star in November, and NewsGuard’s analysis found that the website has published misleading information about the presidential election and the Senate races.
One story making false claims about Georgia’s presidential election results reached up to 650,000 people on Facebook.
Yet Facebook recently rolled back changes to its algorithm that would promote news from reliable sources.
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