The Five Best Ways To Detect Fake Social-Media Accounts.

• • • by Will Knight

Twitter recently took drastic action as part of an effort to slow the spread of misinformation through its platform, shutting down more than two million automated accounts, or bots.

But Twitter shuttered only the most egregious, and obvious, offenders. You can expect the tricksters to up their game when it comes to disguising fake users as real ones.

It’s important not to be swayed by fake accounts or waste your time arguing with them, and identifying bots in a Twitter thread has become a strange version of the Turing test. Accusing posters of being bots has even become an oddly satisfying way to insult their intelligence.

Advances in machine learning hint at how bots could become more humanlike. IBM researchers recently demonstrated a system capable of conjuring up a reasonably coherent argument by mining text. And Google’s Duplex software also shows how AI systems can learn to mimic the nuances of human conversation.

But technology might also provide a solution. In 2015 the Defense Advanced Research Projects Agency ran a contest on Twitter bot detection. Participants trained their systems to identify fake accounts using five key data points. The resulting systems are far from perfect (the best worked about 40 percent of the time), but the efforts reveal how best to spot a bot on Twitter. We may come to rely on these signals much more.

• • • 1. User profile
         The most common way to tell if an account is fake is to check out the profile. The most rudimentary bots lack a photo, a link, or any bio. More sophisticated ones might use a photo stolen from the web, or an automatically generated account name.
      2. Tweet syntax
         Using human language is still incredibly hard for machines. A bot’s tweets may reveal its algorithmic logic: they may be formulaic or repetitive, or use responses common in chatbot programs. Missing an obvious joke and rapidly changing the subject are other telltale traits (unfortunately, they are also quite common among human Twitter users).
      3. Tweet semantics
         Bots are usually created with a particular end in mind, so they may be overly obsessed with a particular topic, perhaps reposting the same link again and again or tweeting about little else.
      4. Temporal behavior
         Looking at tweets over time can also be revealing. If an account tweets at an impossible rate, at unlikely times, or even too regularly, that can be a good sign that it’s fake. Researchers also found that fake accounts often betray an inconsistent attitude toward topics over time.
      5. Network features
         Network dynamics aren’t visible to most users, but they can reveal a lot about an account. Bots may follow only a few accounts or be followed by many other bots. The tone of a bot’s tweets may also be incongruous with those of its connections, suggesting a lack of any real social interaction.