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    Q&A: How Pew Research Center identified bots on Twitter

    For a recent study on automated accounts and Twitter, we had to answer a fundamental question: Which accounts are bots and which accounts aren’t? Read a Q&A with Stefan Wojcik, a computational social scientist at the Center and one of the report’s authors, on how he and his colleagues navigated this question.

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    Stefan Wojcik

    Stefan Wojcik is a former computational social scientist at Pew Research Center. He is an expert in applying data science tools and methods to social science research questions. His work involves using digital trace or social media data to understand the flow of information online, public opinion and behavior. Wojcik has authored reports on the […]

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    Trump Has Met the Public’s Modest Expectations for His Presidency

    Survey Report Just prior to the 2016 election, the public had fairly low expectations for Donald Trump’s presidency. Majorities of Americans said that if Trump was elected, he would not be likely to improve the way government works, set a high moral standard for the presidency or achieve other goals.  And for the most part, […]

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    Bots in the Twittersphere

    An estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings.

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    Methodology

    CORRECTION (April 2018): In the table called “Random effects analysis of bot shares by content,” the term “Business site” was changed to “Business post” to match the term used in the report. This correction does not materially change the analysis of the report. This report examines how often automated accounts share links on social media, […]

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    Video: How did we identify Twitter bots?

    The Pew Research Center set out to better understand how many of the links being shared on Twitter are being promoted by bots rather than humans. Our analysis found that an estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings.