But maybe the white noise mechanism is not needed. There may currently be enough erosion of trust by 'black' noise to give platform builders the incentive to add the authenticity methods to their products and see widespread adoption of their use.
But maybe the white noise mechanism is not needed. There may currently be enough erosion of trust by 'black' noise to give platform builders the incentive to add the authenticity methods to their products and see widespread adoption of their use.
Maybe this is an uncomfortable thing to say but this entire escapade with fakenews may just be a natural cycle that happens when corruption becomes too much and competition is emerging. So if we accept that reasoning then fakenews is just one ugly side effect but there are also good side effects, like new news sites emerging which may use outrageous new content to get viewers or superior ethics as their selling point. Hopefully the latter prevails but the cycle of gaining / losing trust will continue for as long as human beings are fallible.
Hah! So also in Anatham, there are other machines that do this. The design the author wrote into the story involved two species of machines that work at full speed with 100% uptime to both revise and tweak the facts of a story and then, separately, to assign grades. Basically a world-wide generative adversarial network.
From the attacker's point-of-view, in order to deliver a false message they are forced to try to fight through a gauntlet of independent machinery that will first generate a bunch of alternatives and then will look at any particular story and assign a grade with knowledge that it's probably being attacked. That could be a very tough filter to consistently navigate, especially if our attacker is trying to conduct a broad campaign of misinformation.
From the victim's point-of-view, every piece of information they read now is associated with a score provided by their fact checking filters -- and there is no reason not to have multiple layers of grading filters.