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🧟 This is an amazing research project by Professor Keith Burghardt. The goal is to use NLP to find whether there is an uncanny valley for stories of nearly humans and help answer what makes text creepy.

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Mapping-Uncanny-Valley

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last commit commit activity code size repo size made-with-python Made withJupyter

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This is an amazing research project from Professor Keith.

Team members: Haripriya Dharmala, Nai-Cih Liou, Raveena Kshatriya, Sakshi Goel, Yuchen Zhang

System and package information

Dealing with tensorflow gpu can be a little bit tricky, so I included system information, apt packages installation information, and python packages information.

Overview

  • “Nearly-human” creatures persist in stories across cultures
    • Why are creepy stories filled with almost-human ghosts, zombies, and cryptids?
    • Do popular stories reach a creepy “sweet spot” in which creatures or scenarios are nearly-normal but not quite?
  • Goal: help answer what makes text creepy
    • Learn and apply skills of natural language processing
    • Learn what to avoid for AI design and human-computer interaction
    • Understand the psychology of humans: why are creatures or scenarios scary?

Uncanny Valley

Data

Data from subreddits:

  • r/NoSleep
  • r/Confessions
  • r/Confession
  • ...

Metadata:

  • 11 GB of data
  • 9 Subreddits
  • Over 10 years of data
  • Mostly English & one small Spanish subreddit
  • Comments & Posts (authors, text, score, ...)
  • Creepy subreddits:
    • NoSleep, CreepyPasta, Miedo...
  • Normal text subreddits:
    • Confessions, confession (two different sites!), TIFU,...

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🧟 This is an amazing research project by Professor Keith Burghardt. The goal is to use NLP to find whether there is an uncanny valley for stories of nearly humans and help answer what makes text creepy.

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