Dan Brahmy | Source | Co-Founder and CEO at Cyabra

Researchers estimate that anywhere from 9% to 15% of the millions of Twitter profiles are automated accounts, or bots, based on one early study, from 2017, and more recent research from a firm that monitors online conversations.
"They have underestimated that number," said Dan Brahmy, CEO of the Israeli tech company Cyabra that uses machine learning to identify fake accounts.

Cyabra CEO Dan Brahmy told CNN last week that in addition to studying Twitter (TWTR), his company has done similar assessments of the company’s rivals — although he declined to name any specific platforms — and that the fake-account problem appears to be comparatively worse for Twitter (TWTR) than its peers. Using a machine-learning algorithm that analyzes “hundreds” of parameters, he said, Cyabra provides estimates of whether certain online accounts and content are authentic.

“We founded Cyabra to bring authenticity to the digital realm, offering solutions to help make sense of the abundance of noise in online conversations today and uncover truths within these narratives,” said Brahmy. “Disinformation is no longer solely a political issue; we’re seeing consumer brands identify a serious need to examine their online reputation and sentiment under a close lens. We’re excited to expand our footprint and leadership team to offer these companies the resources and information they need to make data-driven decisions and combat disinformation.”