Exposing and Explaining Fake News On-the-Fly

arXiv:2405.06668v1 Announce Type: new
Abstract: Social media platforms enable the rapid dissemination and consumption of information. However, users instantly consume such content regardless of the reliability of the shared data. Consequently, the latter crowdsourcing model is exposed to manipulation. This work contributes with an explainable and online classification method to recognize fake news in real-time. The proposed method combines both unsupervised and supervised Machine Learning approaches with online created lexica. The profiling is built using creator-, content- and context-based features …

abstract arxiv classification consumption crowdsourcing cs.ai cs.cl cs.si data fake fake news fly however information manipulation media platforms reliability social social media social media platforms type work