Grad Student Exposes Massive Network Of Over 350,000 Fake Twitter Accounts

from Zero Hedge:

A computer scientist in London has stumbled upon massive networks of fake Twitter accounts – with the largest consisting of over 350,000 profiles – which may have been used to ‘fake‘ numbers of followers, send spam, and boost interest in trending topics.

On Twitter, bots are accounts that are run remotely by someone who automates the messages they send and activities they carry out.

Some people pay to get bots to follow their account or to dilute chatter about controversial subjects.

As The BBC reports, UK researchers accidentally uncovered the lurking networks while probing Twitter to see how people use it.

The network of 350,000 bots stood out because all the accounts in it shared several subtle characteristics that revealed they were linked. These included:

• tweets coming from places where nobody lives
• messages being posted only from Windows phones
• almost exclusively including quotes from Star Wars novels

It was “amazing and surprising” to discover the massive networks, said Dr Shi Zhou, a senior lecturer from UCL who oversaw Mr Echeverria’s research.

“Considering all the efforts already there in detecting bots, it is amazing that we can still find so many bots, much more than previous research,” Dr Zhou told the BBC.

“It is difficult to assess exactly how many Twitter users are bots,” said graduate student Juan Echeverria, a computer scientist at UCL, who uncovered the massive networks.

Mr Echeverria’s research began by combing through a sample of 1% of Twitter users in order to get a better understanding of how people use the social network.

However, analysis of the data revealed some strange results that, when probed further, seemed to reveal lots of linked accounts, suggesting one person or group is running the botnet. These accounts did not act like the bots other researchers had found but were clearly not being run by humans.

His research suggests earlier work to find bots has missed these types of networks because they act differently to the most obvious automated accounts.

The researchers are now asking the public via a website and a Twitter account to report bots they spot to help get a better idea of how prevalent they are. Many bots are obvious because they have been created recently, have few followers, have strange user names and little content in the messages.

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