LAST WEEK, AS thousands of Central American migrants made their way northward through Mexico, walking a treacherous route toward the US border, talk of "the caravan," as it's become known, took over Twitter. Conservatives, led by President Donald Trump, dominated the conversation, eager to turn the caravan into a voting issue before the midterms. As it turns out, they had some help—from propaganda bots on Twitter.
Late last week, about 60 percent of the conversation was driven by likely bots. Over the weekend, even as the conversation about the caravan was overshadowed by more recent tragedies, bots were still driving nearly 40 percent of the caravan conversation on Twitter. That's according to an assessment by Robhat Labs, a startup founded by two UC Berkeley students that builds tools to detect bots online. The team's first product, a Chrome extension called BotCheck.me, allows users to see which accounts in their Twitter timelines are most likely bots. Now it's launching a new tool aimed at news organizations called FactCheck.me, which allows journalists to see how much bot activity there is across an entire topic or hashtag.
Take the deadly shooting at the Tree of Life synagogue in Pittsburgh over the weekend. On Sunday, one day after the shooting, bots were driving 23 percent of the Twitter activity related to the incident, according to FactCheck.me.
"These big crises happen, and there’s a flurry of social media activity, but it's really hard to go back and see what’s being spread and get numbers around bot activity," says Ash Bhat, a Robhat Labs cofounder. So the team built an internal tool. Now they're launching it publicly, in hopes of helping newsrooms measure the true volume of conversation during breaking news events, apart from the bot-driven din.
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