An ML Model for Predicting Information Check-Worthiness using a Variety of Features

Ullah, Md Zia

Abstract

In this communication, we introduce the important problem of information check-worthiness. We present the method we developed to automatically answer this problem. This method makes use of an elaborated information representation that combines the “information nutritional label” features along with word-embedding features. The information check-worthy claim is then predicted by training a machine learning model based on these features. Our model outperforms the official participants’ runs of CheckThat! 2018 challenge.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media
• Start Date: Feb 27, 2020
• End Date: Feb 28, 2020
• Publication Date: 2020
• Deposit Date: Mar 22, 2023
• Publicly Available Date: Mar 22, 2023
• Volume: 2606
• Pages: 56-61
• Book Title: Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media
• Keywords: Information check-worthiness; Information nutritional label; Machine learning based mode
• Publisher URL: https://ceur-ws.org/Vol-2606/
• Related Public URLs: https://ceur-ws.org/Vol-2606/9paper.pdf