11–20 of 131 posts
I gave a talk at Denver startup week last year about the underlying profit incentives tied to fake news and how industry reforms in the way media companies do business could not only benefit the advertisers but also stop Fake news. At the end of the talk I had 3 people ask how they could make fake news to promote their startups. That this has turned into a booming industry surprises me 0%, though it is depressing.
The key part is you have to have a massive dataset of historical information.
With Datastreamer (my company) we have about 1PB of news, blogs, and social media from the last 4-5 years.
I'm curious if it would make sense to ship an open/public API that would allow people both to report AND check on whether something is fake news.
Sort of like Hacker News but a browser extension that allows you to flag whether you think something is fake.
Earlier quoted context omitted.
I don't think Internet anonymity is a thing though. Even if you make a fully unrelated identity, smearing that identity is enough to discredit your ability to engage online. Sure, you can make another and another, but starting over with zero online credibility is the same thing as losing all your credibility.
One of the components of online anonymity is having different identites for different communities. That way if your expiremental political blog goes horribly wrong it doesn't take your professional life or hobby group with it
And that's fine for most topics, but when you talk about certain issues, I feel that speaking in an honest manner (and assuming everyone who isn't obviously trolling is doing the same) is the only way to really have a discussion, otherwise it just makes all online discourse totally meaningless.
Direct link without lead harvesting nonsense: http://info.digitalshadows.com/rs/457-XEY-671/images/Digital... This is super lazy, the paper seems like it was produced by a PR drone whose knowledge on the subject was limited to a list of keywords to google.
I've been working on some algorithms I think can identify fake news easily and reliably. The key part is you have to have a massive dataset of historical information. With Datastreamer (my company) we have about 1PB of news, blogs, and social media from the last 4-5 years. I'm curious if it would make sense to ship an open/public API that would allow people both to report AND check on whether something is fake news.…
I gave a talk at Denver startup week last year about the underlying profit incentives tied to fake news and how industry reforms in the way media companies do business could not only benefit the advertisers but also stop Fake news. At the end of the talk I had 3 people ask how they could make fake news to promote their startups. That this has turned into a booming industry surprises me 0%, though it is depressing.
Is your talk or similar online anywhere?
I gave a talk at Denver startup week last year about the underlying profit incentives tied to fake news and how industry reforms in the way media companies do business could not only benefit the advertisers but also stop Fake news. At the end of the talk I had 3 people ask how they could make fake news to promote their startups. That this has turned into a booming industry surprises me 0%, though it is depressing.
Can you recommend some material on this and how to design the incentives properly?
Direct link without lead harvesting nonsense: http://info.digitalshadows.com/rs/457-XEY-671/images/Digital... This is super lazy, the paper seems like it was produced by a PR drone whose knowledge on the subject was limited to a list of keywords to google.
The article itself is pretty lazy too, like it was a paid placement. It mentions "Digital Shadows" nine times.