Narrative: Fake News is Real
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Narrative: Fake News is Real (Jan 24, 2017)
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Bing Adds Fact Check Summaries to News Search Results (Sep 18, 2017)
Twitter is Reportedly Testing a Fake News Button (Jun 29, 2017)
The Washington Post reports that Twitter is testing a button that would allow users to flag tweets or links in tweets which appear to be false or misleading, although it says there’s no guarantee that the feature will ever launch, and Twitter itself says it’s not going to launch anything along these lines soon. On the face of it, this is a logical step for Twitter, which has been one of the biggest vehicles for the rapid spread of fake news over the last year or two, even though its much smaller scale means that Facebook still arguably has a bigger impact, especially given its tendency to reinforce people’s existing biases. But on the other hand, given how the phrase “fake news” has lost all meaning and come to take on distinct partisan overtones, there’s enormous potential for misuse and controversy, and if Twitter does launch something along these lines, it’s going to need either a massive team of its own or several big partners with significant resources to handle the refereeing that will be needed. That alone may prevent Twitter from ever launching the feature, needed though it may be. In addition, given that Twitter has arguably bent its own rules on acceptable content a little for public figures such as President Trump (and candidate Trump before him), there are some big questions about whether tweets from the President and others would be subject to the same rules as those from other users.
★ Google Makes Tweaks to Search to Combat Fake News (Apr 25, 2017)
This is the second fake news-combatting announcement this week, after Facebook’s announcement about teaching users how to spot fake news yesterday. This is one of the broadest and most direct steps Google has taken in this area, and will specifically flag particular news articles or other sites with an additional link to a fact checking site such as Snopes or PolitiFact with a brief summary of who is making a claim and whether those sites consider it to be true. This is somewhat similar to Facebook’s effort to flag fake news, but the big difference is that it will be done algorithmically through special markup those sites will use, which will be picked by Google’s crawlers. That should mean that at least in some cases Google will flag something as false long before Facebook will, and I’d hope that Facebook would move to do something similar over time too.
Facebook seems to be taking its responsibility to help police fake news ever more seriously, and today announced another step in that effort: showing users a popup card at the top of their feed which offers to teach them how to spot fake news. I’d love to think this could make a meaningful difference in people’s ability to discern truth from error, but realistically the kind of people who most need this training will be least likely to click on it, in part at least because Facebook’s previous efforts in this area have been seen as partisan rather than neutral by those most likely to read, believe, and share fake news. But it’s good to see Facebook trying, and it may at least give some more moderate users pause before they share fake news on the site.
Human curation feels like an interesting way to solve a problem with an algorithm, and it’s striking that Google pays 10,000 people to check its search results for quality in the first place. As I’ve said previously, the specific problem with “snippets” in search is better solved by eliminating them for obscure or poorly covered topics, but the issue with false results is certainly broader than just snippets. It sounds like this approach is helping, but it doesn’t feel very scalable.
via USA Today