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PreprintCited by 6Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and SocietyEthics and Social Impacts of AI

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The 7Vs of AI Slop: A Typology of Generative Waste

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Madsen, Dag Øivind, Puyt, Richard W.·2025·International Journal of Generative Artificial Intelligence in Business
DOI 10.2139/ssrn.5558018
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Abstract

The rise of generative artificial intelligence has introduced a new shorthand in digital culture: AI slop. The term refers to the flood of low-quality, machine-generated content that now saturates platforms, from generic essays and clickbait blogs to uncanny images, deepfake pornography, and synthetic video. This paper develops a typology of AI slop structured around seven dimensions-the 7Vs: Volume (scale of production), Velocity (speed of generation and circulation), Variety (range of forms and genres), Value (erosion of cultural and epistemic worth), Verification (problems of truth and trust), Visibility (algorithmic amplification), and Virality (meme-like diffusion). Together, these dimensions explain how generative waste proliferates, why it dominates attention economies, and what risks it poses to knowledge infrastructures, creative industries, and democratic publics. Situating AI slop within theories of platform capitalism, information overload, and epistemic pollution, the paper argues that slop is not a passing nuisance but a structural feature of contemporary media ecologies. The 7Vs provide a framework for analyzing generative waste across cultural, academic, commercial, political, and organizational domains, offering a foundation for future empirical and conceptual research into how societies can navigate and mitigate slop-saturated environments.

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  1. A Alter, 2018, Irresistible: The rise of addictive technology and the business of keeping us hooked
  2. D Bawden, 2009, The dark side of information: overload, anxiety and other paradoxes and pathologies, Journal of Information science, 35, 180, 10.1177/0165551508095781 · DOI
  3. S E Bird, 2009, Tabloidization: What is it, and does it really matter, The changing faces of journalism, 50
  4. F Brunton, 2013, Spam: A shadow history of the Internet, 10.7551/mitpress/9384.001.0001 · DOI
  5. T Bucher, 2018, If... then: Algorithmic power and politics, 10.1093/oso/9780190493028.001.0001 · DOI · Paper page
  6. N Couldry, 2012, Media, society, world: Social theory and digital media practice
  7. K Crawford, 2021, The atlas of AI: Power, politics, and the planetary costs of artificial intelligence
  8. T H Davenport, 2001, The Attention Economy: Understanding the New Currency of Business
  9. J Dillon, 2024, The Rise of AI Slop: How Low-Quality AI-Generated Content Is Wreaking Havoc on Information Discovery
  10. C Doctorow, 2023, Pluralistic: Tiktok's enshittification
  11. M J Eppler, 2004, The Concept of Information Overload: A Review of Literature from Organization Science, Accounting, Marketing, MIS, and Related Disciplines, The Information Society, 20, 325, 10.1080/01972240490507974 · DOI · Paper page
  12. H Farid, 2021, On Algorithmic Amplification, 6
  13. L Floridi, 2020, GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30, 681
  14. M Fricker, 2007, Epistemic injustice: Power and the ethics of knowing, 10.1093/acprof:oso/9780198237907.001.0001 · DOI · Paper page
  15. C Fuchs, 2021, Social media: A critical introduction
  16. T Gillespie, 2018, Custodians of the Internet: Platforms, content moderation, and the hidden decisions that shape social media
  17. Gonz�lez Garc�a, 2022, What Is (Not) Big Data Based on Its 7Vs Challenges: A Survey, Big Data and Cognitive Computing, 6
  18. D ; Hesmondhalgh, 2019, Algorithmic amplification of politics on Twitter, Proceedings of the National Academy of Sciences, 119
  19. H Jenkins, 2013, Spreadable media: Creating value and meaning in a networked culture, Spreadable media
  20. N Khan, 2019, The 51 v's of big data: survey, technologies, characteristics, opportunities, issues and challenges, Proceedings of the international conference on omni-layer intelligent systems, Kirchengast, T, 29, 308
  21. E Lamy, 2023, Epistemic Responsibility in Business: An Integrative Framework for an Epistemic Ethics, Journal of Business Ethics, 183, 1, 10.1007/s10551-022-05078-1 · DOI
  22. E Lamy, 2022, Fighting epistemic pollution (fake news, business BS) with extended corporate social responsibility, LSE Business Review
  23. D Laney, 2001, 3D data management: Controlling data volume, velocity and variety
  24. S Lewandowsky, 2017, Beyond Misinformation: Understanding and Coping with the "Post-Truth" Era, Journal of Applied Research in Memory and Cognition, 6, 353, 10.1016/j.jarmac.2017.07.008 · DOI · Paper page
  25. D � Madsen, 2025, When AI turns culture into slop, AI & SOCIETY
  26. A Mahdawi, 2025, AI-generated 'slop' is slowly killing the internet, so why is nobody trying to stop it? The Guardian
  27. N Malik, 2025, With 'AI slop' distorting our reality, the world is sleepwalking into disaster. The Guardian
  28. B Mcnair, 2003, News and Journalism in the UK. routledge, 10.4324/9780203596944 · DOI
  29. K M Miltner, 2018, Internet memes, The SAGE Handbook of Social Media, 55, 412, 10.4135/9781473984066.n23 · DOI
  30. R Morris, 2025, Emily Blunt among Hollywood stars outraged over 'AI actor' Tilly Norwood, BBC, 5870
  31. C Newport, 2019, Digital minimalism: Choosing a focused life in a noisy world, Is Destroying Productivity. Harvard Business Review
  32. C O'connor, 2019, The misinformation age: How false beliefs spread
  33. C O'connor, 2021, Modeling how false beliefs spread, The Routledge handbook of political epistemology, 203
  34. E Pariser, 2011, The filter bubble: What the Internet is hiding from you
  35. J Pfeffer, 2006, Management Half-Truths and Nonsense: How to Practice Evidence-based Management, California Management Review, 48, 77, 10.1177/000812560604800301 · DOI
  36. L Rijo, 2025, Platform payments fuel AI slop flood across social media
  37. C Rojek, 2001, Celebrity
  38. J Ryan, 2024, The Coming Enshittification of AI: Will AI follow internet search and ecommerce down the path of enshittification, or can we finally have nice things?, The Journal of Business and Artificial Intelligence, 1
  39. L Shifman, 2014, Memes in digital culture
  40. C Shirky, 2008, Here comes everybody: The power of organizing without organizations
  41. C Shirky, 2009, A speculative post on the idea of algorithmic authority
  42. E Simpson, 2018, The Enshittification of the Creative Internet, Proceedings of lorem (CSCW 'XX)
  43. N Srnicek, 2016, Platform capitalism
  44. C Stokel-Walker, 2025, AI slop is suffocating the web, says a new study
  45. J Tang, 2024, Side job, self-employed, high-paid': behind the AI slop flooding TikTok and Facebook. The Conversation
  46. K Thomsen, 2022, AI and We in the Future in the Light of the Ouroboros Model: A Plea for Plurality, AI, 3, 778, 10.3390/ai3040046 · DOI
  47. G Turner, 2014, Deepfakes: regulatory challenges for the synthetic society, Computer Law & Security Review, 46
  48. I Van Rooij, 2025, AI slop and the destruction of knowledge
  49. J M Vukov, 2023, The Ouroboros Threat, The American Journal of Bioethics, 23, 58, 10.1080/15265161.2023.2250284 · DOI
  50. C Warzel, 2019, Surveillance Capitalism and the Challenge of Collective Action, The MAGA aesthetic is AI slop. The Atlantic, 28, 10

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Metadata

Authors
Madsen, D. Ø., & Puyt, R. W.
ORCID
Venue
International Journal of Generative Artificial Intelligence in Business
Publisher
Elsevier BV
Published
2025
Volume
1
Issue
3
ISSN
2977-7879 (ISSN-L)
DOI
10.2139/ssrn.5558018
OpenAlex
W7220734800
Cited by
6
References
0
Citations by year
2026: 6
FWCI
20.79
Type
journal article
Language
en
Open access
Locations
  • International Journal of Generative Artificial Intelligence in Business (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Keywords
generative AI, AI-generated content, waste, typology, AI-generated text quality, business applications of AI

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CoChat. (2026). Citation check: The 7Vs of AI Slop: A Typology of Generative Waste. https://app.cochat.ai/papers/10.2139/ssrn.5558018
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Madsen, D. Ø., & Puyt, R. W. (2025). The 7Vs of AI Slop: A Typology of Generative Waste. International Journal of Generative Artificial Intelligence in Business. https://doi.org/10.2139/ssrn.5558018