Summary of Are We in the Ai-generated Text World Already? Quantifying and Monitoring Aigt on Social Media, by Zhen Sun et al.
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
by Zhen Sun, Zongmin Zhang, Xinyue Shen, Ziyi Zhang, Yule Liu, Michael Backes, Yang Zhang, Xinlei He
First submitted to arxiv on: 24 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Cryptography and Security (cs.CR); Social and Information Networks (cs.SI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper aims to quantify and monitor AI-Generated Texts (AIGTs) on online social media platforms. It collects a dataset with 2.4M posts from three major platforms and constructs another dataset to train and evaluate AIGT detectors. The best-performing detector is identified and used to track AIGTs across platforms, revealing significant increases in AI-generated content on Medium and Quora, but slower growth on Reddit. The analysis also shows that AIGTs differ from human-written texts in linguistic patterns, topic distributions, engagement levels, and author follower distribution. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper studies the growing presence of AI-Generated Texts (AIGTs) on social media platforms. Researchers collect a large dataset of posts from three popular platforms and develop methods to detect AIGTs. They find that some platforms have much more AI-generated content than others, and that this content differs from human-written text in several ways. This study helps us understand the spread of AI-generated content online. |
