Abstract
This paper considers three different projects that have used Twitter to track racist language: 1) Racist Tweets in Canada (the author’s original work); 2) Anti-social media (a 2014 study by U.K. think tank DEMOS); and, 3) The Geography of Hate Map (created by researchers at Humboldt University) in order to showcase the ability to track racism online using Twitter. As each of these projects collected racist language on Twitter using very different methods, a discussion of each data collection method used as well as the strengths and challenges of each method is provided. More importantly, however, this paper highlights why Twitter is an important data collection tool for researchers interested in studying race and racism.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
