Annotated Bibliography
(1) Monteith, S., Glenn, T., Geddes, J. R., Whybrow, P. C., Achtyes, E., & Bauer, M. (2024).
Artificial intelligence and increasing misinformation. The British Journal of Psychiatry, 224(2), 33–35. doi:10.1192/bjp.2023.136 from https://www.cambridge.org/core/journals/the-british-journal-ofpsychiatry/article/artificial-intelligence-and-increasing-misinformation/DCCE0EB214E3D375A3006AA69FFB210D?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark
This journal is useful due to its information on how artificial intelligence can increase the spread of misinformation on the internet. It goes in-depth about AI-generated content, specifically on how the models used to create this content don’t know much about the topics that can be covered, and they can generate false information that can be spread. The article goes into the topics of politics, health, and social justice, in which there can be the most damage when it comes to AI-generated content and the outreach to internet users.
(2) Kaplan, A. (2020). Artificial intelligence, social media, and fake news: Is this the end of democracy. IN MEDIA & SOCIETY, 165. from
https://nek.istanbul.edu.tr/ekos/KITAP/ekt0000026.pdf#page=165
This chapter in a book of studies helps enforce the key point of using artificial intelligence in a social media environment, especially reinforcing the fact that social media is used to spread misinformation due to its widespread usage throughout the world. Within the context of artificial intelligence, there can be apps that implement deepfakes to make it seem like something was said by another person, most likely a person of a high power, such as a politician.
(3) Kemp, S. (2025, February 5). DataReportal – Global Digital Insights. DataReportal – Global Digital Insights from https://datareportal.com/reports/digital-2025-sub-section-state-of-social
This website of infographics is useful due to the data collected of social media usage through different age groups, as well as gathering information on different account types, brands, and influencers. It helps by showing how widespread social media usage is in regard to real world statistics, especially when relating the human population to the amount of people who are active on social media. There is a section on the website that highlights the statistics on using social media for news articles, including age groups, genders, and results over a period of time.
(4) Romero Moreno, F. (2024). Generative AI and deepfakes: a human rights approach to tackling harmful content. International Review of Law, Computers & Technology, 38(3), 297–326. https://doi.org/10.1080/13600869.2024.2324540Sadiku, M. N., Ashaolu, T. J., Ajayi-Majebi, A., & Musa, S. M. (2021). Artificial intelligence in social media. International Journal of Scientific Advances, 2(1), 15-20 from https://www.ijscia.com/wp-content/uploads/2021/01/Volume2-Issue1-Jan-Feb-No.36-15-20.pdf
(5) Matthew Coulter, Aiming for Fairness: an Exploration into Getty Images v. Stability AI and its Importance in the Landscape of Modern Copyright Law, 34 DePaul J. Art, Tech. & Intell. Prop. L. 124 (2024) from
https://via.library.depaul.edu/jatip/vol34/iss1/4
This case study goes over the lawsuit that Getty Images filed against Stability AI, over copyright infringement and using real life, stock photographs in generative AI development. This study helps with going over the legal challenges that can arise when it comes to using artificial intelligence to create content, especially when posting it to social media in which it can be widespread. The study was written by Matthew Coulter, a J.D. (Juris Doctor) candidate from DePaul University of Law.
(6) Copeland, B. (2025, February 25). history of artificial intelligence (AI). Encyclopedia Britannica.from
https://www.britannica.com/science/history-of-artificial-intelligence
This scholarly article includes important information on AI, such as the history of artificial intelligence and the multitude of advancements that have been made in the past century, starting with Alan Turing’s contributions to AI development. Copeland has published multiple articles and books on Alan Turing himself, dating all the way back to 1993, and is the director of the Turing Archive at the University of Canterbury in Christchurch, New Zealand.
(7) Benabdelouahed, R., & Dakouan, C. (2020). The use of artificial intelligence in social media: opportunities and perspectives. Expert journal of marketing, 8(1), 82-87. from
https://www.zbw.eu/econis-archiv/bitstream/11159/6209/1/1769492887_0.pdf
This journal includes information on the application of artificial intelligence in social media, such as marketing, analytics, chatbots, and expanding social networks. This also goes in-depth about the potential benefits of using artificial intelligence in social media, as well as establishing AI as the next step in building networks, especially regarding marketing. The abstract includes information about how there is very little time for creating social media campaigns, but AI can be used as a solution to that issue.
((8) OpenAI. (2024). ChatGPT (December 14 version) [Large language model] from
https://chat.openai.com/
This artificial intelligence tool was used to brainstorm and rephrase ideas for this research paper. It was also used to generate images for the website for visuals. It was important to the research since it helped with understanding basic terminology of the topic at hand, as well as providing new information and viewpoints on the paper.