Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling
This work addresses the need for automated analysis of online communities like Incel forums, which has applications in social and security strategies, though it is incremental as it applies existing NLP methods to a new dataset.
The research tackled the problem of understanding user behavior in Incel online forums by applying NLP-based topic modeling to discover semantic aspects and opinions from comments, showing that AI models can effectively retrieve useful information such as semantic-related words from large volumes of data.
Online forums provide a unique opportunity for online users to share comments and exchange information on a particular topic. Understanding user behaviour is valuable to organizations and has applications for social and security strategies, for instance, identifying user opinions within a community or predicting future behaviour. Discovering the semantic aspects in Incel forums are the main goal of this research; we apply Natural language processing techniques based on topic modeling to latent topic discovery and opinion mining of users from a popular online Incel discussion forum. To prepare the input data for our study, we extracted the comments from Incels.co. The research experiments show that Artificial Intelligence (AI) based on NLP models can be effective for semantic and emotion knowledge discovery and retrieval of useful information from the Incel community. For example, we discovered semantic-related words that describe issues within a large volume of Incel comments, which is difficult with manual methods.