“Some hidden percentage of what you are seeing online is not commentary from real people, but bought-and-paid-for, computer-generated propaganda”1
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Except for everything published on this blog, of course :-) ↩
Daily Archives: March 10, 2018
Interesting uses for blockchain technology #15610
From a lovely rant by Paul Ford:
The blockchain can be a form of media. The writer Maria Bustillos is starting a magazine that will publish on the blockchain — which means it will be impossible to take down. (Disclosure: In theory, I’ll write for Maria, who’s a friend, and she’ll pay me in cryptocurrency, or what she calls “space jewels.”) One of her aims is to make it impossible for people—Peter Thiel, for example, who backed Hulk Hogan’s lawsuit against Gawker—to threaten publications they dislike.
You could even make a distributed magazine called Information of Vital Public Interest About Peter Thiel that would be awfully hard to sue into oblivion. It’s the marketplace of ideas. Literally. Try another thought experiment. Remember that anonymously created list of men who worked in media and who were alleged sexual harassers? You could, by whispering the allegations from one wallet to the next, put that information on a blockchain. You could make a web browser plug-in so that whenever someone visited a sexual harasser’s LinkedIn page, that page could glow bright red. You could have a distributed, immutable record of sexual harassment allegations on the internet. (Is there an economy around such allegations? Well, people do pay for gossip. GossipCoin?)
The bad news about false news
The most comprehensive study to date of misinformation on Twitter is out. The Abstract reads:
We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise 126,000 stories tweeted by 3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it. We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise 126,000 stories tweeted by 3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it.