DeepTingle
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Abstract (arXiv)
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.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 May 2017.
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Citing papers per year: 2021: 7; 2022: 2; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
11 papers.
- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
- 2021Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoningcited by 29
- 2024Creating Suspenseful Stories: Iterative Planning with Large Language Modelscited by 22
- 2021Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writingcited by 14
- 2021Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learningcited by 14
- 2022Robust Preference Learning for Storytelling via Contrastive Reinforcement Learningcited by 14
- 2021Telling Stories through Multi-User Dialogue by Modeling Character Relationscited by 13
- 2021Guiding Neural Story Generation with Reader Modelscited by 12
- 2021Fabula Entropy Indexing: Objective Measures of Story Coherencecited by 7
- 2021Automated Story Generation as Question-Answeringcited by 3
- 2026Nonslop: A Gamified Experiment in Human-AI Collaborative Writingcited by 0
- 2026Nonslop: A Gamified Experiment in Human-AI Collaborative Writing10 Jun 2026
- 2024Creating Suspenseful Stories: Iterative Planning with Large Language Models27 Feb 2024
- 2022Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning14 Oct 2022
- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems15 Apr 2022
- 2021Guiding Neural Story Generation with Reader Models16 Dec 2021
- 2021Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning16 Dec 2021
- 2021Automated Story Generation as Question-Answering7 Dec 2021
- 2021Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing8 Jul 2021
- 2021Telling Stories through Multi-User Dialogue by Modeling Character Relations31 May 2021
- 2021Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning4 May 2021
- 2021Fabula Entropy Indexing: Objective Measures of Story Coherence23 Mar 2021