Python scripts used to analyse Google search results for the 2018 filter bubble study. This assumes Python version 2.7.
To count domain occurrences within organic links (i.e. excluding infoboxes):
$ python count_domains.py
To count variations of the search results and infoboxes:
$ python count_variations.py
To calculate the average differences (edit distances) of participants' search results:
$ python measure_difference.py
pyxDamerauLevenshtein >= 1.5
For the filter bubble study report, please see here:
See also the spreadsheets containing all data from the study here: