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In this system paper we present our contribution to the Constraint 2021COVID-19 Fake News Detection Shared Task, which poses the challenge ofclassifying COVID-19 related social media posts as either fake or real. In oursystem, we address this challenge by applying classical machine learningalgorithms together with several linguistic features, such as n-grams,readability, emotional tone and punctuation. In terms of pre-processing, weexperiment with various steps like stop word removal, stemming/lemmatization,link removal and more. We find our best performing system to be based on alinear SVM, which obtains a weighted average F1 score of 95.19% on test data,which lands a place in the middle of the leaderboard (place 80 of 167).

Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Task