video1.0<iframe src="https://www.loom.com/embed/ecd93c824f1a4d74bce024b8843ed6bb" frameborder="0" width="1662" height="1246" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12461662Loomhttps://www.loom.com12461662https://cdn.loom.com/sessions/thumbnails/ecd93c824f1a4d74bce024b8843ed6bb-68eac14f11f9f806.gif300.21In this video, I discuss my summer project focused on analyzing clickbait headlines, particularly those prevalent in African media. I explored various neural network models, including a base tier network that achieved 96% accuracy and a dropout model that reached 94% accuracy. I also experimented with different learning rates and regularization techniques to optimize performance. I encourage viewers to consider the impact of sensationalized titles on content consumption and to share their thoughts on the effectiveness of such headlines. Thank you for your attention, and I look forward to your feedback.