A project exploring the varying vocabularies of the news by scraping text from the UK’s most visited news websites and arranging everything alphabetically. I was interested in how this could display difference, highlight change or draw attention to more sensationalist vocabularies.
A process based project, experiments created a variety of outcomes. When the text is put back into the fully justified typesetting of traditional newspapers, the large rivers create forms and patterns, emphasising words at random. The sensationalist vocabulary on the front page of The Daily Mail website printed out (at 10 point bold Times News Roman with 12 point line spacing and a column width the size of a tabloid page) becomes 4 meters long. A website updates live, comparing how differently the same day is reported, creating new patterns as news breaks.
(If you have experience in Python, know how to get websites that have been built with a Flask framework online and would be willing to offer advice – please get in touch!)