Datenquellen

Mögliche Datenquellen

• Diplomatische Dokumente, USA: http://history-lab.org/

• Facebook: https://developers.facebook.com/

• Instagram: https://www.instagram.com/developer/

• MediaCloud API: https://mediacloud.org/support

• New York Times API: https://developer.nytimes.com

• News API: https://newsapi.org

• news-please: https://github.com/fhamborg/news-please

• Parlamentsreden: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/E4RSP9

• Parlamentsreden, UK: https://github.com/ArthurSpirling/EggersSpirlingDatabase

• Parlamentsreden und Parlamentarier, international: https://github.com/saschagobel/legislatoR 

• Parteiprogramme: https://manifesto-project.wzb.eu

• Reddit API: https://www.reddit.com/dev/api/

Praktische Anleitungen

• Bryce Boe. 2017. PRAW: The Python Reddit Api Wrapper. Read the Docs. https://praw.readthedocs.io/en/v6.4.0/.

• Michael Bukachi. 2019. “Extracting YouTube Comments with YouTube API & Python”. Gotrained Python Tutorials. https://python.gotrained.com/youtubeapi-extracting-comments/.

• Matthew J. Connelly u. a. 2019. Diplomatic Documents Data for International Relations: The Computational and Historical Resources on Nations and Organizations for the Social Sciences (CHRONOS) Database. Working Paper. https : //www.nyu.edu/projects/spirling/documents/Chronos_ppr.pdf.

• Jonathan D. Fitzgerald. 2018. “Working with The New York Times API in R”. Storybench. http://www.storybench.org/working-with-the-new-yorktimes-api-in-r/.

• Dana Lindquist. 2019. “Using New York Times API and jq to collect news data”. Medium. https://medium.com/@danalindquist/using-new-york-timesapi-and-jq-to-collect-news-data-a5f386c7237b.

• Jörg Matthes und Matthias Kohring. 2008. “The Content Analysis of Media Frames: Toward Improving Reliability and Validity”. Journal of Communication 58 (2): 258–279. doi:10.1111/j.1460-2466.2008.00384.x.

• Christian Rauh, Pieter De Wilde und Jan Schwalbach. 2017. The ParlSpeech data set: Annotated full-text vectors of 3.9 million plenary speeches in the key legislative chambers of seven European states. Cambridge: Harvard Dataverse. doi:10.7910/DVN/E4RSP9.

• Felippe Rodrigues. 2018. “How to scrape Reddit with Python”. Storybench. http://www.storybench.org/how-to-scrape-reddit-with-python/.

• Matthew A. Russell. 2019. Mining the Social Web. 3. Aufl. Sebastopol: O’Reilly Media.