Building an Online Lie Detector
There’s an interesting project to detect false rumors on the Internet.
The EU-funded project aims to classify online rumours into four types: speculation—such as whether interest rates might rise; controversy—as over the MMR vaccine; misinformation, where something untrue is spread unwittingly; and disinformation, where it’s done with malicious intent.
The system will also automatically categorise sources to assess their authority, such as news outlets, individual journalists, experts, potential eye witnesses, members of the public or automated ‘bots’. It will also look for a history and background, to help spot where Twitter accounts have been created purely to spread false information.
It will search for sources that corroborate or deny the information, and plot how the conversations on social networks evolve, using all of this information to assess whether it is true or false. The results will be displayed to the user in a visual dashboard, to enable them to easily see whether a rumour is taking hold.
I have no idea how well it will work, or even whether it will work, but I like research in this direction. Of the three primary Internet mechanisms for social control, surveillance and censorship have received a lot more attention than propaganda. Anything that can potentially detect propaganda is a good thing.