@inproceedings{tiuleneva-etal-2024-big,
    title = "Big-Five Backstage: A Dramatic Dataset for Characters Personality Traits {\&} Gender Analysis",
    author = "Tiuleneva, Marina  and
      Porvatov, Vadim A.  and
      Strapparava, Carlo",
    editor = "Zock, Michael  and
      Chersoni, Emmanuele  and
      Hsu, Yu-Yin  and
      de Deyne, Simon",
    booktitle = "Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.cogalex-1.13",
    pages = "114--119",
    abstract = "This paper introduces a novel textual dataset comprising fictional characters{'} lines with annotations based on their gender and Big-Five personality traits. Using psycholinguistic findings, we compared texts attributed to fictional characters and real people with respect to their genders and personality traits. Our results indicate that imagined personae mirror most of the language categories observed in real people while demonstrating them in a more expressive manner.",
}

This paper introduces a novel textual dataset comprising fictional characters{'} lines with annotations based on their gender and Big-Five personality traits. Using psycholinguistic findings, we compared texts attributed to fictional characters and real people with respect to their genders and personality traits. Our results indicate that imagined personae mirror most of the language categories observed in real people while demonstrating them in a more expressive manner.
Tiuleneva, Marina Porvatov, Vadim A. Strapparava, Carlo
Big-Five Backstage: A Dramatic Dataset for Characters Personality Traits & Gender Analysis