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Linguistics Identifies Anonymous Users

Chaos pattern in 1DCVCN left-influential rule=147 gI = 0.14

Chaos pattern in 1DCVCN left-influential rule=147 gI = 0.14

via SCMagazine

Being anonymous online may become more challenging for those who wish to be unknown. A new data mining technique is being developed to reveal identities of people by writing style.

Imagine that the social networks which require real names will be used as a standard to delve the deep dark alleys of the internetAlthough it appears there may be ways to add white noise to a writing style, if indeed one is that concerned about being revealed.

Up to 80 percent of certain anonymous underground forum users can be identified using linguistics, researchers say.The techniques compare user posts to track them across forums and could even unveil authors of thesis papers or blogs who had taken to underground networks. “If our dataset contains 100 users we can at least identify 80 of them,” researcher Sadia Afroz told an audience at the 29C3 Chaos Communication Congress in Germany.”Function words are very specific to the writer.

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