This study introduces and analyzes a novel authorship attribution case: the children’s stories published by Oscar and Constance Wilde. We analyzed the corpus of stories with both supervised (SVM with string kernel) and unsupervised (Hierarchical Clustering via Rank Distance) methods and found a strong stylistic similarity between the story "The Selfish Giant" published by Oscar Wilde and the stylometric profile of Constance Wilde. Starting from this baseline, we also explored the the capabilities of LLMs in authorship attribution via Perplexity. Our finding suggests that the story "The Selfish Giant" might be the result of a collaboration between Oscar and Constance Wilde. Moreover, our results pointed to the distinct stylistic fingerprints of the two authors with regards to the rest of the corpus, confirming that their respective styles are separable despite shared genre and period.

The present article investigates semantic change in psychology-related concepts, in scientific and social media texts comparatively. We assess patterns of change over 15 years (2010-2025) and compare word usage in a corpus of Psychology journals abstracts and Reddit comments, testing whether specialized communities on social media align with psychology experts. We analyze semantic breadth, semantic displacement and neighbours similarity evolutions, and in addition include in our experiments contextual embeddings alongside static Word2Vec embeddings. Our results reveal diverse patterns of semantic change across the examined concepts and confirm that many terms are used differently on social media compared to specialized literature. Furthermore, Reddit communities focused on psychology discussions occupy an intermediate position, adopting a more objective stance than general-domain threads while remaining distinct from specialized literature.