article · Journal of Social Sciences
Artificial intelligence tools increasingly shape social media content creation and management, providing platforms with mechanisms to optimise the overall user experience. Key capabilities enabled by these algorithms include automated content generation, real-time content analysis, and personalised content recommendations. Alongside these functional advantages, the technology introduces several critical challenges. Algorithmic bias and the potential displacement of human jobs represent prominent concerns. Furthermore, algorithmic curation can foster the spread of misinformation and trap users within filter bubbles. Mitigating these negative outcomes requires social media platforms to uphold transparency and ethical standards to preserve user trust. Emphasising media literacy, ethical governance in marketing, and the inclusion of human moderation are vital measures to ensure that digital content remains diverse, accurate, and beneficial for both creators and consumers as technologies continue to advance.
Social media platforms influence how millions of people access information, communicate, and conduct commerce. While artificial intelligence enhances user convenience and platform efficiency, it also risks spreading inaccurate information and narrowing public discourse. Understanding both the benefits and risks helps users, content creators, and platform managers build a safer and more trustworthy digital environment.
The findings outline applications in automated content creation, audience personalisation, and real-time analytics for social media marketing. Marketing professionals and platform developers can apply these mechanisms to enhance user engagement. However, successful commercial deployment requires integrating transparency tools and human moderation systems to manage reputational risks. The research presents an overview of industry practices and concerns rather than a specific commercial product.
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Artificial Intelligence (AI) has become a powerful tool for creating and managing social media content. Social media platforms have integrated AI technology into their algorithms to optimize the user experience. However, the impact of AI on social media is a topic of debate. This research aims to explore the effects of AI and its implications for content creators and consumers. It is recommended that social media platforms ensure that the use of AI is transparent and ethical to maintain user trust. The impact of AI on social media content is significant and multifaceted, enabling personalized content recommendations, automated content generation, and real-time content analysis. However, there are also concerns about algorithmic bias and the potential for job displacement. As AI technology continues to evolve, it is essential to ensure that ethical considerations and social responsibility are prioritized in the development and use of AI in social media marketing. The impact of AI on social media content is a complex issue, with both positive and negative effects. While AI algorithms can enhance the user experience by providing personalized content, there are concerns that they may also lead to the spread of misinformation and the creation of filter bubbles. To mitigate these potential negative effects, it is important to promote transparency, media literacy, and human moderation, in order to ensure that social media content is accurate, diverse, and informative.
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DOI: 10.3844/jssp.2024.12.16
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