  With the significant increase in users on social media platforms, a new means
of political campaigning has appeared. Twitter and Facebook are now notable
campaigning tools during elections. Indeed, the candidates and their parties
now take to the internet to interact and spread their ideas. In this paper, we
aim to identify political communities formed on Twitter during the 2022 French
presidential election and analyze each respective community. We create a
large-scale Twitter dataset containing 1.2 million users and 62.6 million
tweets that mention keywords relevant to the election. We perform community
detection on a retweet graph of users and propose an in-depth analysis of the
stance of each community. Finally, we attempt to detect offensive tweets and
automatic bots, comparing across communities in order to gain insight into each
candidate's supporter demographics and online campaign strategy.
