Social interactions take place in environments that influence people's behaviours and
perceptions. Nowadays, the users of Online Social Network (OSN) generate a massive …

Nowadays, social networks are widely used not only by humans, but also by bots
(automated agents). Recent studies have reported that bot accounts are used across …

Microblogs generate a vast amount of data in which users express their emotions regarding
almost all aspects of everyday life. Capturing affective content from these context-dependent …

Organizations present their existence on social media to gain followers and reach out to the
crowds. Social media-related tasks and applications, such as social media graph …

1owadays, bot detection from Twitter attracts the attention of several researchers around the
world. Different bot detection approaches have been proposed as a result of these research …

This paper presents a novel technique for classifying user accounts on Twitter. The main
purpose of our classification is to distinguish the patterns of users from those of individuals …

Today, through Twitter, researchers propose approaches for classifying user accounts.
However, they have to face confidence challenges owing to the diversity of the types of data …

In this paper, we propose a novel technique for classifying user accounts on online social
networks. The main purpose of our classification is to distinguish the patterns of users from …

In today's digital landscape, integrating artificial intelligence (AI) and personalization is vital
for understanding and engaging audiences on social media platforms. This thesis …

Various users with diverse spiritual moods and morals react differently to online content. On
some users, highly toxic submissions cannot have a noticeable impact, while on another …