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Artificial Intelligence in Social Media: From Content Personalization to User Engagement

  • Bakkali Salma,
  • Touhami Fatima,
  • Alouane Sara,
  • Bengrich Merieme

摘要

The article delves into the pivotal role of artificial intelligence (AI) in reshaping social media, highlighting its impacts on content personalization, data management, user experience, and beyond. Through an extensive literature review, it explores varying perspectives on AI, from optimism regarding its potential advancements to concerns regarding its ethical and socio-economic implications. The history of AI is traced from its origins in the 1940s to modern advances such as deep learning and machine learning. Three main types of AI are identified: general AI, strong AI, and weak AI, each carrying different implications for online interactions and social media platforms. The article also highlights current uses of AI in social networks, including data analysis, personalized recommendations, detection of inappropriate content, and automated content planning. These applications enhance user experience, optimize marketing campaigns, and maintain safe online environments. Lastly, the article discusses the future prospects of AI in social media, emphasizing its potential for creating hyper-personalized marketing messages, refining customer personas, and enhancing customer engagement through AI-powered chatbots. In conclusion, AI is presented as an indispensable tool for businesses looking to thrive in the digital age, with significant implications for the future of online interactions and marketing strategies.