Twitter bot detection has become an increasingly important task to combat misinformation,
facilitate social media moderation, and preserve the integrity of the online discourse. State-of …

Prior Twitter-based electoral research has mostly ignored multi-party contexts and 'mix
tweets' that jointly mention more than one party. Hence, we investigate the complex nature of …

Twitter bot detection has become a crucial task in efforts to combat online misinformation,
mitigate election interference, and curb malicious propaganda. However, advanced Twitter …

Bots, simply defined as accounts controlled by automation, can be used as a weapon for
online manipulation and pose a threat to the health of platforms. Researchers have studied …

Abstract Online Social Networks (OSNs) offer new means for political communications that
have quickly begun to play crucial roles in political campaigns, due to their pervasiveness …

The onset of online social networks (OSN) like Twitter became a predominant platform for
social expression and public relations. Twitter had 330 million monthly active users by the …

Social media bot detection has always been an arms race between advancements in
machine learning bot detectors and adversarial bot strategies to evade detection. In this …

Disinformation activities that aim to manipulate public opinion pose serious challenges to
managing online platforms. One of the most widely used disinformation techniques is bot …

Despite notable advancements in bot detection methods based on Graph Neural Networks
(GNNs). The efficacy of Graph Neural Networks relies heavily on the homophily assumption …

Twitter bot detection is vital in combating misinformation and safeguarding the integrity of
social media discourse. While malicious bots are becoming more and more sophisticated …