Trey Smith
2/10/25
Article review #1
Human Detection of Deepfakes
Introduction
The study “Testing human ability to detect ‘deepfake’ images of human faces” dives into the ever-growing threat of artificial intelligence (AI) becoming increasingly more realistic to the point that the human eye cannot distinguish between the two. With this being said, as this technology begins to grow, it raises security concerns, like how could this be misused to trick someone? This technology could be used to spread misinformation and identity fraud and can be used to weaken human trust in media. By testing human capabilities at the current peak of AI “deepfake” capabilities, we can see how severe this can be in the current day.
Societal Impacts of This Study
This study is more prevalent now than ever with the ever-expanding and ever-advancing field of AI. This study helps us understand how we interact with deepfakes, and it could change how we interact with misinformation. Due to the realistic nature of the fake images and videos, we must figure out the number of people this could affect. In the research paper, it says, “Like the problems of phishing emails and illegal robocalls we experience today, this scalability means that a single malicious use of deepfakes could affect large numbers of people. (Bray et al., 2023).” Our slides on week three it goes over field studies. In this research paper, by using a field study-like method, we can see that over 60% of the pictures were reported as accurate, but after the second round of testing with some additional knowledge, the accuracy went down to about an average of 53.6.
Conclusion
In conclusion, the rising threat of AI is becoming more of a prevalent threat due to the lack of ability to determine if the contents are real or not. Looking at this problem from another perspective, the author of this article also touched on this topic a little, but the elderly population is the most at risk. Due to the lack of internet safety or knowledge, they are the most susceptible to these types of misinformation and scams. That’s why I believe that we should focus more resources on teaching media literacy and AI literacy in our daily lives.
Citation
Bray, S. D., Johnson, S. D., & Kleinberg, B. (2023). Testing human ability to detect “deepfake” images of human faces. Journal of Cybersecurity, 9(1). https://doi.org/10.1093/cybsec/tyad011
Trey Smith
3/25/25
Article review #2
Cyberbullying on Social Media: Definitions, Prevalence, and Impact Challenges
Introduction
Cyberbullying has been a rising issue in the age of technology and social media. Becoming anonymous is so easy and widely used that cyberbullying seems to be intensified to a higher degree. The article explores the hardships of understanding, defining, measuring, and challenging cyberbullying. This review will be centered on the research methods and how relevant they are to social science principles. It will also focus on how cyberbullying affects smaller community groups.
Understanding the Study
The study proposes such questions on the topic of cyberbullying, such as how it is defined across different legal and academic settings, its mass presence in social media, and the challenges in measuring its effect on people’s behavior and mindset. The author uses literature reviews as their primary research method. The author looks over multiple different books and media on how cyberbullying is defined, how it’s spread in media, and what happens due to cyberbullying to further define the article. He also used different surveys and “statistical analyses” to provide insight into how different marginalized groups are affected by this problem. The research from this article aligns with social science principles by understanding and examining online behavior and societal issues. This includes power imbalances and social norms. and psychological well-being. Furthermore, this article explores how cyberbullying is used more in marginalized communities and racial groups than in any others in the media. The article highlights how communities such as racial minorities, LGBTQIA+ individuals, and people with disabilities experience cyberbullying at an extremely higher rate than others.
Conclusion
Overall, this article makes a great argument on how pressing an issue that cyberbullying and its larger social issues are. By looking over existing research to find a broader perspective of this issue, the author gives a deeper understanding of the material to further push a better understanding of this issue. The prominent issue of minority groups being targeted by this issue was also a great point to be addressed, so now future researchers who want to do field studies know what groups are being targeted and can go to those groups for insight. As media grows within our daily lives, this article will continue to be a point of discussion and understanding of how this type of media affects us all.
Citation
Ray, G., McDermott, C. D., & Nicho, M. (2024). Cyberbullying on Social Media: Definitions, Prevalence, and Impact Challenges. Journal of Cybersecurity, 10(1). https://doi.org/10.1093/cybsec/tyae026