Bad Day

Bad day is a web based project. It functions as a basic predictive auto-correct engine, except it’s language (database) is restricted to words of negative connotations. The input for the software is also restricted to the location of a single…

Bad Day

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Bad day is a web based project. It functions as a basic predictive auto-correct engine, except it’s language (database) is restricted to words of negative connotations. The input for the software is also restricted to the location of a single web page – www.bad-day.today.

The code behind it acts as a simple algorithm. It analyses textual information provided by the users and collects data on the popularity (or usage) of the words within its database.

Users are invited to ‘save’ text they (might) type. Which subsequently appears in a ‘history’ section as an anonymous, online chat-like comment.

Initially the Algorithm will suggest words in the applicable alphabetical order (while the user is typing). Then as more users interact with the website, ‘Bad Day’ becomes better equipped to suggest words based on the overall usage of those words and their popularity (trending).

It’s ‘vocabulary’ is incomplete, visitors of this website are encouraged to submit appropriate English words to the ‘bad day’ database.

This project can be read as a commentary in someones depressive state or and an ambiguous (abstract) feeling of an absolute defeat.
However this piece was primarily intended to function as a commentary on the potential dangers and limitations of the hyper-personalised environments.

Hypothetically if we allow our devices to store and analyse data on the language we use, we will potentially further the informational and emotional bubble of our own devising.

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