As part of the course “Computational Analysis of Digital Communication” at the Vrije Universiteit Amsterdam, small groups of students conducted individual research projects. The following posters summarize their projects and main results.

The projects cover a wide range of topics and methods ranging from e.g., emotions in tweets about COVID-19 vaccines (RG4; dictionary analysis), predicting sentiment in financial news headlines (RG9; supervised machine learning), or conspiracies theories over time on Reddit (RG32; unsupervised topic modeling), to negativity in song lyrics (RG34; supervised machine learning) or correlations between twitter sentiment and stock market value of large companies (RG35; sentiment analysis). We invite you to browse through the different projects:



Research Group 1



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Research Group 31



Research Group 32



Research Group 33



Research Group 34



Research Group 35

This course is published under the following license.