Wikipedia, Wrapped. Here Are 2023’s Most-Viewed Articles on the Internet’s Encyclopedia

Remember what you searched for in 2023? Well, Wikipedia has the receipts.

English Wikipedia raked in more than 84 billion views this year, according to numbers released Tuesday by the Wikimedia Foundation, the non-profit behind the free, publicly edited online encyclopedia. And the most popular article was about ChatGPT (yes, the AI chatbot that’s seemingly everywhere today).

Since its launch just over a year ago, OpenAI's ChatGPT has skyrocketed into the public's consciousness as the technology makes its way into schools, health care, law and even religious sermons. The chatbot has also contributed to growing debates about the promise and potential dangers of generative AI, much of which is documented on its Wikipedia page.

The second most-read article on Wikipedia in 2023 was the annual list of deaths, which sees high traffic year after year — taking the #4 and #1 spots in 2022 and 2021, respectively. Individual entries for notable figures who passed away also garnered significant interest this year, including pages for Matthew Perry and Lisa Marie Presley.

Meanwhile, the highly anticipated 2023 Cricket World Cup took third place — alongside three other cricket-related entries in Wikipedia’s top 25 articles this year, including the Indian Premier League at #4, marking the first time cricket content has made the list since the Wikimedia Foundation started tracking in 2015.

“Barbenheimer," Taylor Swift and more also appeared to sway our 2023 internet-reading habits. Here are this year's top 25 articles on English Wikipedia.

1. ChatGPT: 49,490,406 pageviews

2. Deaths in 2023: 42,666,860 pageviews

3. 2023 Cricket World Cup: 38,171,653 pageviews

4. Indian Premier League: 32,012,810 pageviews

5. Oppenheimer (film): 28,348,248 pageviews

6. Cricket World Cup: 25,961,417 pageviews

7. J. Robert Oppenheimer: 25,672,469 pageviews

8. Jawan (film): 21,791,126 pageviews

9. 2023 Indian Premier League: 20,694,974 pageviews

10. Pathaan (film): 19,932,509 pageviews

11. The Last of Us (TV series): 19,791,789 pageviews

12. Taylor Swift, 19,418,385: pageviews

13. Barbie (film): 18,051,077 pageviews

14. Cristiano Ronaldo: 17,492,537 pageviews

15. Lionel Messi: 16,623,630 pageviews

16. Premier League: 16,604,669 pageviews

17. Matthew Perry: 16,454,666 pageviews

18. United States: 16,240,461 pageviews

19. Elon Musk: 14,370,395 pageviews

20. Avatar: The Way of Water: 14,303,116 pageviews

21. India: 13,850,178 pageviews

22. Lisa Marie Presley: 13,764,007 pageviews

23. Guardians of the Galaxy Vol. 3: 13,392,917 pageviews

24. Russian invasion of Ukraine: 12,798,866 pageviews

25. Andrew Tate: 12,728,616 pageviews

According to the Wikimedia Foundation, this top 25 list was created using English Wikipedia data as of Nov. 28. Numbers for the full year are set to be updated by the nonprofit on Jan. 3, 2024.

The top countries that accessed English Wikipedia overall to date in 2023 are the United States (33.2 billion) and the United Kingdom (9 billion) — followed by India (8.48 billion), Canada (3.95 billion) and Australia (2.56 billion), according to Wikimedia Foundation data shared with The Associated Press.

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.

Wikipedia, Wrapped. Here Are 2023’s Most-Viewed Articles on the Internet’s Encyclopedia