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Hacker News em dash user leaderboard pre-ChatGPT

Hacker News em dash user leaderboard pre-ChatGPT

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The use of the em dash (—) now raises suspicions that a text might have been AI-generated. Inspired by a suggestion from dang [1], I created a leaderboard of HN users according to how many of their posts before November 30, 2022—that is, before the release of ChatGPT—contained em dashes. Dang himsel

What is Hacker News em dash user leaderboard pre-ChatGPT?

The Hacker News em dash user leaderboard pre-ChatGPT is an analytical tool that ranks Hacker News users based on their historical use of em dashes in posts published before November 30, 2022. The project was inspired by observations that em dash usage has become a potential indicator of AI-generated text in contemporary writing. This leaderboard compiles data from the pre-ChatGPT era, creating a baseline of natural human writing patterns from the Hacker News community. Users are ranked according to how frequently they employed em dashes in their contributions during this period, offering a snapshot of writing style preferences among the platform's members. The tool serves as both a historical reference and a commentary on linguistic patterns in tech communities. It is primarily of interest to researchers studying AI detection methods, linguists examining writing style evolution, and Hacker News community members curious about historical platform data and communication patterns. The pre-ChatGPT cutoff date provides a clear temporal boundary for analyzing writing before widespread AI text generation became commonplace, making it a useful data point for discussions about how AI tools have influenced online communication styles.

Key Features

  • Leaderboard ranking Hacker News users by em dash frequency in pre-ChatGPT posts
  • Analyzes posts from before November 30, 2022 to establish baseline writing patterns
  • Helps identify potential AI-generated content by tracking em dash usage as a linguistic marker
  • Inspired by community suggestion from dang, a Hacker News moderator
  • Provides historical linguistic data on HN user writing styles before AI text generation became prevalent

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