BERTopic modeling was performed to identify topics from the posts. The effectiveness of isolating topics from the posts was evaluated using 3 metrics: topic diversity, coherence, and quality.

ABSTRACT: Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can ...

If you’ve ever paused a video on TikTok to wonder why it’s being shown to you, you know about the mysteries of the popular short-form video app’s algorithm. A post with no caption and minimal ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

Forbes contributors publish independent expert analyses and insights. I write about fitness, health and wearable tech Algorithms have taken on an almost mythical significance in the modern world. They ...

Abstract: In this paper, we enhance and customize the existing BERTopic framework to develop and implement an automated pipeline that delivers a more coherent and diverse set of topics with an even ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict, and the spread of misinformation, my ...