The Impact of Artificial Intelligence on Social Media Content
- 1 New Media Program, College of Mass Communication, Umm Al Quwain University, United Arab Emirates
- 2 Department of Communication, Humanities College, King Khalid University, Saudi Arabia
- 3 College of Business Administration, Sudan University of Science and Technology, Sudan
Abstract
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.
DOI: https://doi.org/10.3844/jssp.2024.12.16
Copyright: © 2024 Elsir Ali Saad Mohamed, Murtada Elbashir Osman and Badur Algasim Mohamed. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Artificial Intelligence
- Social Media
- Content
- Impact
- Machine Learning
- Natural Language Processing
- Algorithms
- Data Analysis
- User Engagement
- Personalization
- Automation
- Big Data
- Sentiment Analysis