---
title: "Video: How did we identify Twitter bots?"
description: "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."
date: "2018-04-09"
authors:
  - name: "Michael Piccorossi"
url: "https://www.pewresearch.org/data-labs/2018/04/09/video-how-did-we-identify-twitter-bots/"
categories:
  - "Social Media"
---

# Video: How did we identify Twitter bots?

https://www.youtube.com/watch?v=Hy2AYb1YFx8

In the context of ongoing debates over the role and nature of bots, 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](https://www.pewresearch.org/internet/2018/04/09/bots-in-the-twittersphere/) found that an estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings.

**Report:** [Bots in the Twittersphere](https://www.pewresearch.org/internet/2018/04/09/bots-in-the-twittersphere/)