Replication Data for: Coding topics and frames in Dutch newspaper coverage (1995-2010)
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| Publication date | 2020 |
| Description | This file includes the raw data for the coding of Dutch newspaper coverage on topics (CAP majors topics) and frames - funded by a 'VENI' grant from the Dutch science foundation. Next to metadata, variables as mentioned in the codebook, the last three variables include the following: text (text split into words and randomly shuffled), text_bigrams (same thing but as bigrams) and text_bigrams_nostopwords (same thing but making bigrams after removing the stopwords using the Python nltk library) |
| Publisher | Harvard Dataverse |
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| Document type | Dataset |
| Related publication | Teaching the computer to code frames in news: comparing two supervised machine learning approaches to frame analysis Using supervised machine learning to code policy issues: Can classifiers generalize across contexts? |
| DOI | https://doi.org/10.7910/dvn/cpuprr |
| Other links | https://doi.org/10.7910%2Fdvn%2Fcpuprr |
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