ARTIFICIAL INTELLIGENCE IN THE SOCIAL MEDIA ERA: IMPLICATIONS FOR CONTENT PRODUCTION AND CONSUMPTION
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2025
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| _version_ | 1866901137454530560 |
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| author | Hassan, Fatima Osman, Abdelrahman |
| author_facet | Hassan, Fatima Osman, Abdelrahman |
| contents | <p><span>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</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16527726 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | ARTIFICIAL INTELLIGENCE IN THE SOCIAL MEDIA ERA: IMPLICATIONS FOR CONTENT PRODUCTION AND CONSUMPTION Hassan, Fatima Osman, Abdelrahman Artificial Intelligence, Social Media, Content, Impact, Machine Learning, Natural Language Processing, Algorithms, Data Analysis, User Engagement, Personalization, Automation, Big Data, Sentiment Analysis <p><span>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</span></p> |
| title | ARTIFICIAL INTELLIGENCE IN THE SOCIAL MEDIA ERA: IMPLICATIONS FOR CONTENT PRODUCTION AND CONSUMPTION |
| topic | Artificial Intelligence, Social Media, Content, Impact, Machine Learning, Natural Language Processing, Algorithms, Data Analysis, User Engagement, Personalization, Automation, Big Data, Sentiment Analysis |
| url | https://doi.org/10.5281/zenodo.16527726 |