The goal of this project is to publish a paper on methods and tools for the automatic collection and analysis of YouTube comments. [The chapter is finally available: https://doi.org/10.4337/9781789906769.00022 There is also an upcoming GESIS guide on that topic. ] Within the project, an R script was developed for the automatic collection and analysis of YouTube comments. The script already samples comments, cleans them and conducts an automatic sentiment analysis. The addition of an automatic content analysis is planned for the future. If you use this script, please cite it as: Kohne, J., Breuer, J., & Mohseni, M. R. (2018). Automatic Sampling and Analysis of YouTube Comments [R Script]. doi:10.17605/OSF.IO/HQSXE About the authors: - [Breuer, Johannes][1] - [Kohne, Julian][2] - [Mohseni, M. Rohangis][3] The script is available on [GitHub][5] A tutorial video is available on [YouTube][6] that demonstrates how to set up the YouTube API authentification. [1]: https://www.gesis.org/institut/mitarbeiterverzeichnis/person/?tx_gextstaffdir_staffdirectory%5Bemail%5D=Johannes.Breuer@gesis.org&tx_gextstaffdir_staffdirectory%5Baction%5D=details&tx_gextstaffdir_staffdirectory%5Bcontroller%5D=Index&no_cache=1 [2]: https://www.gesis.org/institut/mitarbeiterverzeichnis/person/?tx_gextstaffdir_staffdirectory%5Bemail%5D=Julian.Kohne@gesis.org&tx_gextstaffdir_staffdirectory%5Baction%5D=details&tx_gextstaffdir_staffdirectory%5Bcontroller%5D=Index&no_cache=1 [3]: https://www.tu-ilmenau.de/en/media-psychology-and-media-design/team/dr-rohangis-mohseni/ [5]: https://github.com/JuKo007/YoutubeScrapingEmojis [6]: https://youtu.be/qLrNq0jWH84