arXiv AI
Jun 24
AI Fiction in the Wild
arXiv:2606. 22748v2 Announce Type: replace-cross Abstract: Some professional authors are beginning to use AI tools to help produce their fiction writing.
I Was Scrolling and Then I Saw a Pregnant Strawberry
arXiv:2606. 09589v1 Announce Type: cross Abstract: AI minidramas (also known as fruit dramas) are short, algorithmically distributed generative AI video series featuring anthropomorphized characters that have recently emerged as a widespread phenomenon on social media platforms.
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arXiv AI
Jun 26
From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan
arXiv:2606. 27234v1 Announce Type: cross Abstract: AI nudification uses generative models to create synthetic non-consensual sexually explicit imagery (SNEACI) of real individuals.
arXiv AI
Aug 10
Playing Games with My Heart: An Evaluation of AI Companion Apps
arXiv:2605. 08093v2 Announce Type: replace-cross Abstract: The use of chatbots for various forms of companionship is growing rapidly, raising a myriad of questions about simulated relationships, emotional dependence, and psychological harm.
arXiv AI
Jun 24
Sexualised synthetic personas encode and amplify gendered power asymmetries through voice
arXiv:2606. 21366v2 Announce Type: replace-cross Abstract: This work examines sexualised AI-generated English-speaking voices offered by a popular commercial platform.
arXiv AI
Aug 19
What If AI Carried Her Imagination? Black Girls as Creators in an AI Storytelling Weekend Program
This paper reports on a seven‑weekend AI storytelling program for Black girls aged 10‑12 that blends Afrofuturism and Black feminist thought with AI‑enabled counter‑storytelling. Participants brainstormed AI topics, crafted characters and plots, and presented collaborative stories, developing core AI literacies such as prompt engineering, bias critique, and data‑privacy awareness. The study found that the girls produced Afrofuturist narratives grounded in their identities and everyday experiences, demonstrating the program’s effectiveness in engaging them in computer science education.
arXiv AI
Aug 17
From Style Replication to Style Exploration: Enabling Art Style Exploration with Analyze-Experiment-Resituate Framework
arXiv:2608. 14405v1 Announce Type: cross Abstract: Art style is a signature of professional digital artists that develops through repeated experimentation, reflection, and adaptation.
arXiv Computer Vision
Aug 27
MObyGaze: a film dataset of multimodal objectification densely annotated by experts
The paper introduces MObyGaze, a dataset of 20 films annotated by experts for multimodal objectification, covering 6072 segments across 43 hours of video. It defines objectification through a structured thesaurus of 5 sub‑constructs and 11 concepts spanning visual, speech, and audio modalities. The authors formulate learning tasks, explore label diversity strategies, and benchmark vision, text, and audio models to demonstrate the task’s feasibility.
arXiv AI
Jun 26
Dream machine -- the next creative economy
arXiv:2606. 26114v1 Announce Type: cross Abstract: We examine the structural transformation of creative industries under generative artificial intelligence, drawing on 374 primary sources spanning policy documents, industry data, creator surveys, and platform analytics.
arXiv AI
Jul 14
Model Collapse: On Recursion, Noise, and Uncharted Machine Visions
arXiv:2607. 09705v1 Announce Type: cross Abstract: Since 2023, computer scientists have warned against model collapse -- the contamination of training sets with AI-generated outputs that progressively degrade model performance.
arXiv AI
Jun 9
Neutrality Bites: Gender Representation in AI-Generated Animal Stories
arXiv:2606. 07969v1 Announce Type: cross Abstract: Gender bias in AI-generated stories is a well-documented problem.
arXiv Computer Vision
Aug 25
Measuring Gender Representation in Animated Films
arXiv:2608.21429v1 Announce Type: new Abstract: Animated films--often developed with an audience of children in mind--are an important vector for enculturation, and empirical work that has examined t...
arXiv AI
Jun 30
Insidious by Design: Implications of Large Language Model algorithmic bias for the Global South
arXiv:2606. 28333v1 Announce Type: cross Abstract: \begin{quote} The biases in Large Language Models' (LLMs) outputs remain inadequately theorised, particularly from the perspective of the Global South.