Exploring the Impact of ChatGPT on Wikipedia Engagement
Project Overview
The document examines the influence of generative AI, specifically ChatGPT, on educational platforms and knowledge-sharing sites like Wikipedia. It highlights that the introduction of ChatGPT did not diminish Wikipedia's engagement metrics; rather, it resulted in increased page views and unique visitors across various language editions, although the growth rate was somewhat slower in languages where ChatGPT was accessible. This suggests that while generative AI has the potential to disrupt traditional knowledge-sharing methods, it has not adversely affected user engagement or editing behaviors on Wikipedia. The findings indicate that the integration of AI tools in education and knowledge platforms may enhance user interaction rather than hinder it, providing insights into the evolving landscape of information dissemination and the role of AI in facilitating learning. Overall, the document underscores the positive outcomes of generative AI in enhancing educational engagement while acknowledging the need for further exploration of its long-term implications on knowledge-sharing practices.
Key Applications
ChatGPT
Context: Wikipedia users across various languages
Implementation: Analysis of Wikipedia engagement metrics before and after the release of ChatGPT.
Outcomes: Increased page views and visitor numbers after the launch of ChatGPT, especially in languages where it was unavailable.
Challenges: Lower growth in engagement metrics for languages where ChatGPT was available compared to those where it was not.
Project Team
Neal Reeves
Researcher
Wenjie Yin
Researcher
Elena Simperl
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Neal Reeves, Wenjie Yin, Elena Simperl
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai