  On 26 January 2021, India witnessed a national embarrassment from the
demographic least expected from - farmers. People across the nation watched in
horror as a pseudo-patriotic mob of farmers stormed capital Delhi and
vandalized the national pride- Red Fort. Investigations that followed the event
revealed the existence of a social media trail that led to the likes of such an
event. Consequently, it became essential and necessary to archive this trail
for social media analysis - not only to understand the bread-crumbs that are
dispersed across the trail but also to visualize the role played by
misinformation and fake news in this event. In this paper, we propose the
tractor2twitter dataset which contains around 0.05 million tweets that were
posted before, during, and after this event. Also, we benchmark our dataset
with an Explainable AI ML model for classification of each tweet into either of
the three categories - disinformation, misinformation, and opinion.
