PAN 2020: N-gram Ensemble Model Using Statistical Features to Identify Twitter Fake News Spreaders
Channel: webis
Date: 2020-09-25

An Ensemble Model Using N-grams and Statistical Featuresto Identify Fake News Spreaders on Twitter—Notebook for PAN at CLEF 2020

Jakab Buda and Flora Bolonyai

In this notebook, we summarize our work process of preparing a software for the PAN 2020 Profiling Fake News Spreaders on Twitter task. Our final software was a stacking ensemble classifier of five different machine learning models; four of them use word n-grams as features, while the fifth one was based on statistical features extracted from the Twitter feeds. Our software uploaded to the TIRA platform achieved an accuracy of 75% in English and 80.5% in Spanish. Our overall accuracy of 77.75% turned out to be a tie for the first place in the competition.

Paper: https://pan.webis.de/publications.html#buda_2020
Workshop: https://pan.webis.de