Understanding the Impact of AI Generated Content on Social Media: The Pixiv Case
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Abstract (arXiv)
In the last two years, Artificial Intelligence Generated Content (AIGC) has received significant attention, leading to an anecdotal rise in the amount of AIGC being shared via social media platforms. The impact of AIGC and its implications are of key importance to social platforms, e.g., regarding the implementation of policies, community formation, and algorithmic design. Yet, to date, we know little about how the arrival of AIGC has impacted the social media ecosystem. To fill this gap, we present a comprehensive study of Pixiv, an online community for artists who wish to share and receive feedback on their illustrations. Pixiv hosts over 100 million artistic submissions and receives more than 1 billion page views per month (as of 2023). Importantly, it allows both human and AI generated content to be uploaded. Exploiting this, we perform the first analysis of the impact that AIGC has had on the social media ecosystem, through the lens of Pixiv. Based on a dataset of 15.2 million posts (including 2.4 million AI-generated images), we measure the impact of AIGC on the Pixiv community, as well as the differences between AIGC and human-generated content in terms of content creation and consumption patterns. Our results offer key insight to how AIGC is changing the dynamics of social media platforms like Pixiv.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Feb 2024.
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Citing papers per year: 2024: 3; 2025: 5; 2026: 5.
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- 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authenticationcited by 12
- 2025Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detectioncited by 10
- 2024Examining the Prevalence and Dynamics of AI-Generated Media in Art Subredditscited by 8
- 2024The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarkingcited by 4
- 2025AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Eracited by 4
- 2025Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Biascited by 1
- 2026Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communitiescited by 1
- 2025Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Textcited by 0
- 2025User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Soracited by 0
- 2026Identifying Models Behind Text-to-Image Leaderboardscited by 0
- 2026The Shadow Boss: Identifying Atomized Manipulations in Agentic Employment of XR Users using Scenario Constructionscited by 0
- 2026GLEaN: A Text-to-image Bias Detection Approach for Public Comprehensioncited by 0
- 2026Navigating the Open-Source Model Ecosystem: An Empirical Study of Creator Practices in Artistic Image Generation12 Jul 2026
- 2026Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities5 May 2026
- 2026GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension10 Apr 2026
- 2026The Shadow Boss: Identifying Atomized Manipulations in Agentic Employment of XR Users using Scenario Constructions14 Feb 2026
- 2026Identifying Models Behind Text-to-Image Leaderboards14 Jan 2026
- 2025User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Sora5 Dec 2025
- 2025Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Text20 Sep 2025
- 2025Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection16 Jul 2025
- 2025AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era15 Apr 2025
- 2025Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias14 Feb 2025
- 2024Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits9 Oct 2024
- 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authentication15 Jul 2024
1 more
- 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authenticationcited by 12
- 2025Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detectioncited by 10
- 2024Examining the Prevalence and Dynamics of AI-Generated Media in Art Subredditscited by 8
- 2024The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarkingcited by 4
- 2025Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Biascited by 1
- 2025Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Textcited by 0
- 2025User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Soracited by 0
- 2026Identifying Models Behind Text-to-Image Leaderboardscited by 0
- 2026GLEaN: A Text-to-image Bias Detection Approach for Public Comprehensioncited by 0
- 2026Navigating the Open-Source Model Ecosystem: An Empirical Study of Creator Practices in Artistic Image Generationcited by 0
- 2026Navigating the Open-Source Model Ecosystem: An Empirical Study of Creator Practices in Artistic Image Generation12 Jul 2026
- 2026GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension10 Apr 2026
- 2026Identifying Models Behind Text-to-Image Leaderboards14 Jan 2026
- 2025User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Sora5 Dec 2025
- 2025Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Text20 Sep 2025
- 2025Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection16 Jul 2025
- 2025Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias14 Feb 2025
- 2024Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits9 Oct 2024
- 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authentication15 Jul 2024
- 2024The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking22 Apr 2024