Rand’s team has run this game with thousands of players. Half of them are asked, as I was, to decide their contribution rapidly – within 10 seconds – whereas the other half are asked to take their time and carefully consider their decision. It turns out that when people go with their gut, they are much more generous than when they spend time deliberating.
Christakis has designed software to explore this by creating temporary artificial societies online. “We drop people in and then we let them interact with each other and see how they play a public goods game, for example, to assess how kind they are to other people.”
In one experiment, he randomly assigned strangers to play the public goods game with each other. In the beginning, he says, about two-thirds of people were cooperative. “But some of the people they interact with will take advantage of them and, because their only option is either to be kind and cooperative or to be a defector, they choose to defect because they’re stuck with these people taking advantage of them. And by the end of the experiment everyone is a jerk to everyone else.”
Christakis turned this around simply by giving each person a little bit of control over who they were connected to after each round. “They had to make two decisions: am I kind to my neighbours or am I not; and do I stick with this neighbour or do I not.” The only thing each player knew about their neighbours was whether each had cooperated or defected in the round before. “What we were able to show is that people cut ties to defectors and form ties to cooperators, and the network rewired itself and converted itself into a diamond-like structure instead of a graphite-like structure.” In other words, a cooperative prosocial structure instead of an uncooperative structure.
One experiment found that the level of racist abuse tweeted at black users could be dramatically slashed by using bot accounts with white profile images to respond to racist tweeters. A typical bot response to a racist tweet would be: “Hey man, just remember that there are real people who are hurt when you harass them with that kind of language.” Simply cultivating a little empathy in such tweeters reduced their racist tweets almost to zero for weeks afterwards.
It's an interesting but confusing mix of findings. We shouldn't all dwell in our own filter bubbles, but we should block the people we don't like. Or we should gets bots to talk to them and tell them not to be such jerks. Or maybe it's not about blocking people we don't like at all. Maybe most people do have the capacity to distinguish abuse from criticism.
https://www.independent.co.uk/news/long_reads/online-trolls-digital-societies-science-mary-beard-twitter-facebook-hate-speech-a8279596.html
Sister blog of Physicists of the Caribbean in which I babble about non-astronomy stuff, because everyone needs a hobby
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