Tag Archives: business thinking

Back in 2015, an engineer at Twitter asked his security team to look into fake accounts. He said he was stunned to find that a significant percentage of the total accounts created on Twitter had Russian and Ukrainian IP addresses and he also found that they were, for the most part, fake. They were “bots”.

Photo by Alex Knight on Unsplash

No, today isn’t a political rant about how our Democracy might just have been hijacked by a foreign power. Rather, what happened next, as told in this piece by Bloomberg, is instructive to any of us in business because it raises a few issues that are common to us all.

The engineer was part of the security team. That team was tasked with keeping the platform secure. He took his findings to another team – the growth team – which had the responsibility for increasing the user base. That user base number is critical for every business since how the business is valued is based in part on how many users (we can’t really say people in this case, can we?) are active. Discovering that a significant percentage of the user base was fake could have a negative effect on the business’ balance sheet, and in this, we begin to see the problem.

There is a misalignment of goals. If part of security is keeping the platform free from spambots, the people responsible for deleting the spambots can’t have any goals which make deleting those bots counterproductive. In this case, the engineer was told to “stay in his lane”. In other words, pay no attention to the man behind the curtain – the reality of our user numbers – it’s not your job.

No organization should have these kinds of silos. No organization can base its public statements about growth and user engagement on numbers it knows are fake. It’s one thing for users to inflate their follower numbers by buying fake followers but it’s quite another for Twitter itself to be aware of these non-human accounts and to do nothing about them because they want to keep their user numbers up.

I don’t mean to single out Twitter. The same issue persists on Facebook and other social platforms and it’s way more insidious than research can find. There is a term – dark social – that refers to sharing activity among the network’s members that isn’t easily measured. Let’s say a fake account spreads a lie and maybe even buys an ad to do so. We can see how many impressions the ad had or how many followers the fake account has. What we can’t easily see is the network effect. I see the post and am outraged about it. I tell five friends, who tell five of their friends, etc., particularly when it’s shared off the network itself via email or text.

I am fairly certain that each of these networks could identify and stop this activity despite what you might have seen in Congress last week. Those were the lawyers testifying, not the engineers. The point for your business is to keep everyone’s goals in alignment, don’t build silos, and to be honest with yourself and with your investors. These are public companies who might just be committing fraud, but every company has the same responsibility for honesty and transparency.  You with me?