PEER REVIEW
I have chosen Yanshan Liu’s article, “AI and Social Media,” for peer review. The structure of this article is very clear; by dividing it into four sections, Yanshan explains his understanding of AI issues and how to address them. I will base my review on these four sections.
In the first section, Yanshan shares a personal example of AI-generated misinformation spreading on TikTok, helping readers better relate to the issue. Since short videos are all the rage these days, we’ve all come across AI-generated videos at some point—and this is where Yanshan really struck a chord with me. Not only that, but he also analyzed the comments section, further supporting the idea that these AI-generated disaster videos can generate attention and panic. However, I believe there is one issue worth considering: perhaps some of these disaster videos are not AI-generated at all, but simply mislabeled with the wrong location. If these two points could be discussed separately, the analysis would be more comprehensive.
Yanshan’s discussion of public opinion in the second section is quite insightful. He elaborates on four consequences: decreased trust, accelerated polarization, making it more difficult to correct erroneous information, and creating “information pollution.” This made me realize that AI not only poses a risk of deceiving humans but can also endanger society and pollute the information environment. However, I believe it would be more logical to link these four consequences into a causal chain. AI leads to a crisis of trust, which then leads to polarization, making it difficult to correct misinformation, and ultimately polluting the information environment.
In the third section, Yanshan addressed whether Canada’s current policies can effectively address AI-related issues. He noted that if the education system does not treat media literacy and AI literacy as essential skills, it will be difficult to implement relevant policies. I wholeheartedly agree; if I were asked this question, my answer would also be no. Yanshan’s perspective highlights a gap in modern education systems: the lack of training in AI literacy.
Finally, and this is what I like most about this article, Yanshan presents his media literacy curriculum proposal as if he were writing an empirical research paper. The entire process is highly organized and well-developed, with even the most minute details—such as timelines—meticulously outlined. It’s clear that Yanshan approaches his writing with great seriousness and dedication. His media literacy curriculum proposal is not merely empty rhetoric, but rather a well-structured, evidence-based plan.
Overall, I chose this paper for review because it really caught my attention and resonated with me. It also includes a detailed section on media literacy that is both innovative and comprehensive. These two factors combined led me to believe that this paper is worth reading and reviewing carefully.