akhilcacharya / Guardian-Privacy-Corpus

A dataset collected from the Guardian API relating to Privacy news in the EU

Guardian Privacy Corpus

Goal: Extract a text corpus from the Guardian on Government-related Privacy News, and perform analysis.

Setup

• Install node modules by doing npm install

• Install python modules by doing pip install -r requirements.txt

Jupyter notebooks can be run with Python 2 and Python 3 kernels.

The Node.js script requires async/await support in the latest versions of Node.js (we used 7.7.1).

Extracting results

• Rename config.example.json to config.json
• Copy terms from RESULTS/Search Terms.json to config.json
• Add Guardian API keys for each query.
• Run URL extraction by executing sh fetch.sh. This will create a text file for each query in the ARTICLE_URLS/ folder. This is done in order to create a "cooloff" time to avoid the Guardian rate limit.
• Run the corpus extraction by executing python extract.py. This will create a set of JSON files of each article in each search query in the CORPUS folder.

Analysis

• Analysis scripts can be re-run by using Jupyter. The notebooks use 3.0-compatible Kernels.

Navigating the Results

The overall article corpus may be found at this link

The URLs of each category can be found in the ARTICLE_URLS folder, where each document is titled with its category.

The clusters may be found in the CLUSTER folder, with each document is titled with the category it is associated with.

The wordmaps may be found in the WORDMAP folder, and the topics for each category can be found in the TOPICS folder.

The RESULTS folder contains raw data in the form of CSV files, as well as the overall list of search terms used during the data collection process.