In the Ted talk of Misinformation, one person talked about how misinformation affects society and how they are trying to stop it.
One time, there was a tweet about how the White House was bombed and President Barack Obama was injured from the bombing. There were over four thousand retweets on this within less than five minutes. This was tweeted by serial hackers. The stock market was hit, wiping out 139 billion dollars with a single day.
The false news travel much deeper, faster, and farther than what truth news would. They wondered why it would travel much more. They thought it was because the people who tweeted the false news had more followers or followed more people. In fact, it was the total opposite. They had fewer followers, followed fewer people, were less active on the social media, and were on the media for much less time than people who sent the truth out to people. Despite these things, false and fake news had a better chance of being retweeted than the true news.
The human brain is drawn to new, surprising, and scarier news. Bots were not behind the false news, but humans. This is all the good news about the misinformation.
There is a generator network and a discriminator network. The generator is the noise source of the the media. There is a generator example and a real example. The generator example is the false example. The discriminator network shows which tweet is real or fake. The generator example is trying to fool the discriminator into thinking the fake is real.
An example is that a news reporter is making it look like that the White House intern. They removed frames from this video in order to make it seem very real. Stunt men and woman did this all the time in movies to make it realistic.
There are five different paths to try and address the difficult problems. The first one is labeling. In a grocery store, the products have labels to see how many calories and many more things about it. We don’t know where this information was gathered so it could be fake or real so we are consuming information.
What we don’t know is that who decides which tweet is fake and which is real. People can get advertising dollars for this and the serial hackers can be doing this for money, but we don’t know. We don’t know the dangers of this.
Malaysia created a law where if you were to tweet false and fake news, you were to be put in jail for six whole years. We are trying to end this, but it the best way is by humans not doing this.
By the false news rising and with us not knowing which is fake and which is real, this could be the end of reality with not knowing the knowledge of good and bad and fake and real.