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pierredv : bots   6

Benford’s Law can detect malicious social bots | Golbeck | First Monday
Abstract: "Social bots are a growing presence and problem on social media. There is a burgeoning body of work on bot detection, often based in machine learning with a variety of sophisticated features. In this paper, we present a simple technique to detect bots: adherence with Benford’s Law. Benford’s Law states that, in naturally occurring systems, the frequency of numbers first digits is not evenly distributed. Numbers beginning with a 1 occur roughly 30 percent of the time, and are six times more common than numbers beginning with a 9. In earlier work, we established that Benford’s Law holds for social connections across online social networks. In this paper, we show that this principle can be used to detect bots because they violate the expected distribution. In three studies — an analysis of a large Russian botnet we discovered, and studies of purchased retweets on Twitter and purchased likes on Facebook — we show that bots’ social patterns consistently violate Benford’s Law while legitimate users follow it closely. Our results offer a computationally efficient new tool for bot detection. There are also broader implications for understanding fraudulent online behavior. Benford’s Law is present in many aspects of online social interactions, and looking for violations of the distribution holds promise for a range of new applications."
bots  socialmedia  statistics  maths  FirstMonday 
10 weeks ago by pierredv
FACT CHECK: Did Facebook Shut Down an AI Experiment Because Chatbots Developed Their Own Language?, Aug 2017
"Facebook's artificial intelligence scientists were purportedly dismayed when the bots they created began conversing in their own private language."

Rated FALSE
Snopes  Facebook  AI  language  bots 
11 weeks ago by pierredv
Twitter Bots: An Analysis of the Links Automated Accounts Share | Pew Research Center - Apr 2018
"An estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings"

"This analysis finds that the 500 most-active suspected bot accounts are responsible for 22% of the tweeted links to popular news and current events sites over the period in which this study was conducted. By comparison, the 500 most-active human users are responsible for a much smaller share (an estimated 6%) of tweeted links to these outlets."
Pew  Twitter  AI  bots  socialmedia  socialnetworking 
april 2018 by pierredv
Fake tweets by 'socialbot' fool hundreds of followers - tech - 23 March 2011 - New Scientist
On the internet, nobody knows you're a bot, either Strap line: "Close to 250 people were tricked into following three bots, replying to over 200 of their tweets " Finding that boths were "able to heavily shape and distort the structure of the [social] network", Tim Hwang
socialnetworking  bots  NewScientist 
april 2011 by pierredv

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