A spambot became the second most powerful member of an Italian social network

<i>But the targeted recommendations given to followers were far more effective than those given to non-followers. “In other words, lajello has a greater persuasive power over those who are more aware of its presence and activity,” say Aiello and co.</i><p>This seems to be the main measure of the bot&#x27;s &quot;power&quot;, but I&#x27;m not sure it&#x27;s that surprising. What they found is that people already predisposed to linking with random yahoos they don&#x27;t know (e.g., the bot) are also inclined to link with more random yahoos they don&#x27;t know. I&#x27;m not convinced that demonstrates the persuasive power of the bot so much as that some people will merrily click yes in response to any prompt.

Sadly this might be future of most of the social web, robots attracting robots.

I suspect there is an opportunity in working on the other side of this equation, providing a service to identify suspected spam accounts. You could either charge for access to the list, or publish it as a public service, in the same way that abusive IP addresses are published.<p>You could identify spam accounts in a few ways. A naiive, but probably effective approach, would be buying the &quot;fake follower&quot; services yourself on places like Fiverr [1]. But that would cost a lot of money quickly. A more sustainable solution would be applying any number of machine learning techniques, which have been shown to achieve 80-90% accuracy. apply any number of machine learning techniques with a fair accuracy. [2]<p>Personally, I would like to do some research into this area. I would assume you could get pretty far just by graphing the networks of accounts, and comparing the shape of them to authentic accounts.<p>[1] fiverr.com [2] <a href="http://scholar.google.com/scholar?as_ylo=2013&amp;q=fake+twitter+account&amp;hl=en&amp;as_sdt=0,5" rel="nofollow">http:&#x2F;&#x2F;scholar.google.com&#x2F;scholar?as_ylo=2013&amp;q=fake+twitter...</a>

I thought this was common knowledge for social marketers, following everyone you can gains you followers.

Funny - I am just developing a Chrome extension that harnesses precisely this: <a href="https://chrome.google.com/webstore/detail/livisitor/pafjcmmfiibiahjeiipbnmaaggjicnme?authuser=0" rel="nofollow">https:&#x2F;&#x2F;chrome.google.com&#x2F;webstore&#x2F;detail&#x2F;livisitor&#x2F;pafjcmmf...</a> Please don&#x27;t share the link yet, it&#x27;s still in beta.

There should be a browser extension that finds all references to social profiles on the page you are visiting, and that displays a warning if any of them is suspected to be a bot.

The social network cited by the article, Anobii (<a href="http://www.anobii.com" rel="nofollow">http:&#x2F;&#x2F;www.anobii.com</a>), is like GoodReads but perhaps older (2006).

One of my biggest fears about technology is how quickly and tirelessly machines can do things that, until now, we&#x27;ve expected limitations on.<p>For example, if I exceed the speed limit on a highway for just 5 seconds, I doubt anyone would notice. In fact, the law enforcement is pretty vague about speed limits at the moment.<p>If I leave my car in a parking lot for a minute without paying, I rely on the fact that a human watching isn&#x27;t going to be that super efficient as to give me a ticket right away.<p>But that&#x27;s only the beginning. There is so much information that a computer network can cross correlate about everyone, including probabilistic assessments about their identity, etc. This can of course be used by businesses (<a href="http://www.forbes.com/fdc/welcome_mjx.shtml" rel="nofollow">http:&#x2F;&#x2F;www.forbes.com&#x2F;fdc&#x2F;welcome_mjx.shtml</a>) or governments to try to do pre-crime (<a href="http://www.theverge.com/2014/2/19/5419854/the-minority-report-this-computer-predicts-crime-but-is-it-racist" rel="nofollow">http:&#x2F;&#x2F;www.theverge.com&#x2F;2014&#x2F;2&#x2F;19&#x2F;5419854&#x2F;the-minority-repor...</a>).<p>But again, this is just the beginning. Right now we have a certain threshold for the quality of evidence against someone in a courtroom. With computers being able to come up with dozens of plausible &quot;stories that will stick&quot;, anyone can be threatened as the jury (at least in the first few years) won&#x27;t be able to tell the difference. We already have <a href="http://en.wikipedia.org/wiki/Parallel_construction" rel="nofollow">http:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Parallel_construction</a> providing admissible evidence in court. With big-data software more sophisticated than <a href="https://www.palantir.com/" rel="nofollow">https:&#x2F;&#x2F;www.palantir.com&#x2F;</a> , those with the machines on their side will have powerful legal weapons that they can wield against anyone.<p>But even this is just the beginning. We expect a certain quality of output from humans in all areas of life. Being able to match and surpass human output is one thing (<a href="http://www.popsci.com/article/technology/algorithm-recognizes-faces-better-people-can" rel="nofollow">http:&#x2F;&#x2F;www.popsci.com&#x2F;article&#x2F;technology&#x2F;algorithm-recognize...</a>) ... but the relentless ability to continually search through a space towards a goal, and instantaneously leverage gains to produce more gains, may begin to overcome any strategic human systems, whether by individuals or entire countries. A computer network could figure out how to infiltrate a social network, topple a regime, completely dilute everyone&#x27;s trust even in one another, and so forth. The smarter computers get, the more they will be able to overcome the systems we&#x27;ve set up including the biological systems of morality and trust from hundreds of thousands of years of evolution.<p>In fact if you think this is fantasy, consider that the NSA and other agencies already have rudimentary versions of this, that can only be made more powerful with big data crunching and bots: <a href="https://www.techdirt.com/articles/20140224/17054826340/new-snowden-doc-reveals-how-gchqnsa-use-internet-to-manipulate-deceive-destroy-reputations.shtml" rel="nofollow">https:&#x2F;&#x2F;www.techdirt.com&#x2F;articles&#x2F;20140224&#x2F;17054826340&#x2F;new-s...</a><p>So what&#x27;s next for us as a species?

This is a case study but it would be fascinating to see the results in other social networks too.

Related, albeit of a different nature, a pretty classic LinkedIn tactic now are connection requests seemingly from relatively attractive young women (at least when targeting men. A similar ruse is using age-correlated female from names when sending mass mailings -- instead of being from &quot;Widget Co Promotions&quot;, it&#x27;s from Brittney @ Widget Co).<p>Moments ago I followed one connection request I was sent, trying to find how I knew this person, to what was clearly a fake company with dozens of these &quot;employees&quot; -- all 20-ish, attractive women[1] with cloned profiles and fake backstories, to be shocked to find that many of them shared connections with me -- people I knew accepted the connection request because...attractive person. And this likely bot keeps crawling through the social graph building its master corpus of relationships.<p>To make it even more humorous, many of these fake profiles had various skills endorsed by seemingly real people. So not only did people connect with fake people on a picture, they felt the need to endorse them as well, earning their imaginary trust. Who knows...maybe it&#x27;ll be the start of a crazy internet romance? Man and virtual bot.<p>[1] An interesting correlation would be determining someone&#x27;s &quot;type&quot; from their online profiles, optimizing the success rate of the connection. Do they like the big haired blond? Maybe the petite Asian? How about the short-cropped strong-faced woman? A penchant for red heads?