'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
DeepTingle is a text prediction and classification system
trained on the collected works of the renowned fantastic
gay erotica author Chuck Tingle. Whereas the writing
assistance tools you use everyday (in the form of predictive
text, translation, grammar checking and so on)
are trained on generic, purportedly “neutral” datasets,
DeepTingle is trained on a very specific, internally consistent
but externally arguably eccentric dataset. This
allows us to foreground and confront the norms embedded
in data-driven creativity and productivity assistance
tools. As such tools effectively function as extensions
of our cognition into technology, it is important to identify
the norms they embed within themselves and, by
extension, us. DeepTingle is realized as a web application
based on LSTM networks and the GloVe word
embedding, implemented in JavaScript with Keras-JS.peer-reviewe
