Jianfa Tsai’s Input
When you see a headline on YouTube homepage recommendation, instead of spending 15 mins to watch a video posted by someone who is unprofessional or may be criminal, where the video contains inaccuracies or spread disinformation, it’s better to copy the YouTube headline, e.g. “Top ten habits to become a millionaire” into various AI app models, to identify common information and cross reference the data from the AI model with trusted information from experts, trusted family/people around you, public libraries, university libraries or physical textbooks purchased in bookstores or from Amazon. You significantly improve your security, save time and money, reduce hassle, head in the right direction, and maximise productivity.
ELI5 Summary
Instead of wasting fifteen minutes watching a bad or fake YouTube video, you can copy the title into a smart computer assistant to find the main points quickly. Then, you can double-check those points with real experts, school libraries, or good books to make sure the information is true. This smart trick saves you time and money while keeping you safe from lies.
Date
Friday, May 29, 2026, 6:46 AM JST
Authors
Jianfa Tsai (https://orcid.org/0009-0006-1809-1686) in collaboration with Gemini AI Pro.
Information Literacy and AI Cross-Referencing
Using artificial intelligence app models to pre-screen video topics is an effective form of lateral reading that filters out low-quality digital media content (Newcastle University, 2024). This approach mitigates the cognitive load imposed by sensationalist clickbait and protects consumers from information manipulation (European Commission, 2024; SFU Library, 2026). However, because generative models can confidently manufacture false data, synthesized outputs must always be cross-referenced against authoritative primary literature, national databases, and established academic textbooks (Newcastle University, 2024; Sourcely, 2025). Combining rapid AI synthesis with strict library database verification establishes a robust defense against digital disinformation (UNICEF, 2025; University of Ottawa, 2024).
Practical Action Steps
- Implement a 60-Second AI Screening Filter: Paste unverified media headlines directly into your preferred AI model to generate text summaries, bypassing manipulative audiovisual elements entirely.
- Validate Claims via Institutional Search Engines: Input the core arguments generated by the AI tool into academic search portals like Monash University Library, Swinburne University Library, or Google Scholar to locate peer-reviewed papers containing Digital Object Identifiers (DOIs).
- Audit Citations for Hallucinations: Check the physical or digital holdings of public and national libraries to guarantee that the authors, book titles, and publication years provided by the AI assistant actually exist and support the claims made.
References
European Commission. (2024). 6 tips to spot and stop information manipulation. https://ec.europa.eu/stories/6-tips/
Newcastle University. (2024). Using information generated by AI. Academic Skills Kit. https://www.ncl.ac.uk/academic-skills-kit/information-and-digital-skills/ai-literacy/information-type/
SFU Library. (2026). How to spot fake news: Identifying propaganda, satire, and false information. Simon Fraser University. https://www.lib.sfu.ca/help/research-assistance/fake-news
Sourcely. (2025). The future of citations: How AI is changing academic referencing. https://www.sourcely.net/post/the-future-of-citations-how-ai-is-changing-academic-referencing
UNICEF. (2025). A quick guide to spotting misinformation. UNICEF Europe and Central Asia. https://www.unicef.org/eca/stories/quick-guide-spotting-misinformation
University of Ottawa. (2024). Guides. Information Integrity Lab. https://www.infolab.uottawa.ca/IIL/Category/Guides.aspx