How to Work with TikTok Data
Speaker(s):
Bio: Caroline Leicht is a PhD candidate in the Department of Politics and International Relations at the University of Southampton. Her research focuses on the intersection of gender, media and politics. In her PhD project, Caroline examines the role of gender in representations of presidential candidates in political satire. Using a mixed methods approach, this project explores gender role congruity, gendered framing, and gendered themes in political satire and news coverage of candidates in the 2016 and 2020 US Presidential Elections. Caroline currently serves as the Communications Officer of the Political Studies Association Early Career Network. Prior to joining the University of Southampton, Caroline received her MA in International Relations and Security from the University of Liverpool and her BA in North American Studies from the Free University of Berlin, Germany. During her undergraduate studies, she was a visiting student at New York University and at the University of California, Los Angeles. Caroline's research has been published in Political Studies Review and she is a frequent contributor to academic blogs. Outside of academia, she has worked as an editor and reporter in print, online and television journalism. Most recently, she covered elections in the US (2020), in the UK (2019) and in Germany (2017 and 2021).
Abstract:
With over 1 billion active users across the world, TikTok has firmly claimed its position as a leading social media platform. But unlike more established social media platforms like Facebook, Instagram or Twitter, research using TikTok data is still relatively scarce. In this session, we will explore how to use TikTok in social sciences research. Which data is available through TikTok? How do I access it? What are ethical considerations to keep in mind when using TikTok data? How do I work with TikTok data and which methods can I use to analyze it? As an audiovisual platform, TikTok data can be used for a variety of methodological approaches, examples of which will be explored further in this session. There will also be an opportunity for participants to ask their individual questions.