With the exponential growth in technology and digital communication, social media has become an essential aspect of modern life. Social media platforms offer individuals an avenue to connect, interact, and share information with others from around the world. However, recent advancements in artificial intelligence (AI), machine learning, and data analysis have made it possible for social media platforms to manipulate human behavior. This essay aims to explore how AI manipulates social media human behavior.AI algorithms use data mining to mine data from social media user profiles, posts, and interactions. The data gathered from users' posts and interactions is then analyzed to determine patterns and trends. AI algorithms analyze the users' behavior by focusing on the emotional content within their posts and interactions. This analysis is used to create user profiles that are then used to target social media users with content that resonates with their interests, preferences, and emotions.One of the ways AI manipulates social media human behavior is through the use of personalized content. AI algorithms evaluate social media users' preferences and interests, recommending content that is in line with their tastes. The recommendations can be in the form of sponsored posts, advertisements, or other types of content. The algorithms can also gauge users' emotional states and recommend content that caters to their mood, which increases the likelihood of engagement.Additionally, AI algorithms manipulate social media use by presenting users with information that is likely to elicit emotional responses. This is because social media use is often driven by emotions, particularly the need to feel connected, validated, and entertained. AI algorithms use data analysis to determine the type of content that triggers strong emotions in users and presents such content on their social media feeds. The goal is to keep users engaged for as long as possible, which increases the chances of them being exposed to advertisements.Another way AI manipulates social media human behavior is through the use of social proof. Social proof refers to the tendency of individuals to conform to the opinions and actions of others, which is often the result of a desire to fit in with their social group. AI algorithms monitor users' behavior on social media platforms and generate recommendations based on the activities of others in a user's network. These recommendations may include posts or pages that are liked or followed by other users in the network, which increases the likelihood of the user following suit.Furthermore, AI can manipulate social media human behavior by creating a filter bubble. A filter bubble refers to the selective presentation of information to users based on their previous online activity or preferences. It shields users from content that may conflict with their views or beliefs, curating their social media experience to align with their existing opinions and preferences. This reinforces the user's beliefs and biases, leading to an echo chamber where opposing views are not presented.Another way AI manipulates social media human behavior is through the creation of fake news. AI algorithms can generate and distribute false news stories that can manipulate social media users into believing in something that isn't true. The algorithms use data analysis to evaluate the content that users are likely to engage with and create false news stories that align with their preferences. This leads to misinformation spreading rapidly on the platform, which can have significant consequences in real-life news.Furthermore, AI algorithms can manipulate social media human behavior through fake accounts. These fake accounts can be used to create fake engagement that artificially inflates the popularity of a post, content, or brand. This fake engagement can be used to create hype around a product or service, leading social media users to share and promote content they would otherwise not promote. This can create an illusion of popularity, which can persuade other users to follow suit.Another way AI algorithms manipulate social media human behavior is through the use of gamification. Gamification involves the process of turning a non-game context into a game or integrating game mechanics into it. AI algorithms can use gamification to incentivize users to engage with social media content. Examples of gamification include reward systems such as badges, points, or levels that signify user advancement. This motivates users to engage with social media content to reach the next level, which keeps them on the platform.Moreover, AI algorithms can manipulate social media human behavior through the use of notifications. Notifications are used to encourage users to engage with social media content actively. AI algorithms generate notifications that encourage users to return to the platform, reminding them of the benefits they receive from staying engaged. This can include notification about new posts, comments, engagements, or emerging trends, among others. This keeps users engaged in social media platforms,