  This paper presents the system description submitted at the FIRE Shared Task:
"The 2021 Fake News Detection in the Urdu Language". This challenge aims at
automatically identifying Fake news written in Urdu. Our submitted results
ranked fifth in the competition. However, after the result declaration of the
competition, we managed to attain even better results than the submitted
results. The best F1 Macro score achieved by one of our models is 0.6674,
higher than the second-best score in the competition. The result is achieved on
Support Vector Machines (polynomial kernel degree 1) with stopwords removed,
lemmatization applied, and selecting the 20K best features out of 1.557 million
features in total (which were produced by Word n-grams n=1,2,3,4 and Char
n-grams n=2,3,4,5,6). The code is made available for reproducibility.
