Artificial Intelligence and Content Creation
How AI can help create social-media content and what responsible use requires: editing, transparency, verification and accountability.
Prompt: digital art of a robot writing a story on an old typewriter.
Artificial intelligence has expanded the tools available for creating social-media content. This article explores their possibilities, the risks of disinformation and the role of the people who create and manage that content.
The previous article explored AI’s role in social-media algorithms.
Advantages of AI in content creation
A clear advantage of AI in content creation is the improved efficiency and productivity. Tools can help produce drafts, images and videos more quickly. Quality is not guaranteed: editing, fact-checking and judgement are needed to make the material useful to its audience.
Personalization and segmentation
AI can help analyse usage patterns and preferences to personalise content, while taking account of how the data was obtained and its limitations. This can give each creator a better understanding of their audience and help them plan more specific content. The effect on satisfaction and engagement needs to be evaluated.
Sentiment analysis and moderation
AI can also be used to analyze user sentiment and moderate content based on platform policies. This can contribute to the detection of offensive or inappropriate content, as well as improving the quality of interactions on social networks.
Risks of AI in content creation
Disinformation and fake news:
AI can generate convincing false or manipulated content, increasing the risk of disinformation. So-called "deepfakes", for example, can be used to defame people, interfere in politics or manipulate public opinion.
Filter bubbles and polarisation
Personalisation can reduce the diversity of content someone sees and reinforce certain preferences. Its relationship with polarisation depends on the system, context and how people use the platform; it is not an automatic effect of all AI.
Loss of authenticity and creativity
As AI becomes a common tool for content creation, there is a risk that human creators will be displaced and the authenticity and creativity that only people can bring will be lost.
Prompt: a robot helping a human programmer. Both programming together, with several monitors.
The role of content creators and social media managers
To address these challenges, content creators and social media managers must take a proactive and collaborative approach.
Establish clear standards and policies: Social media platforms must establish clear policies and standards to ensure that AI is used responsibly and ethically in content creation.
Promote transparency and accountability: Content creators and social media platforms must be transparent about the use of AI in content generation, and must take responsibility for ensuring it is used ethically and safely.
Promote education and awareness: It is important to educate and raise awareness among users about the risks and benefits associated with AI in content creation. This may include promoting media and digital literacy, as well as teaching critical skills to evaluate the authenticity and trustworthiness of online content.
Innovation and collaboration between humans and AI: Content creators and social media managers must adopt a hybrid approach that combines human creativity and AI efficiency. This may include developing new forms of collaboration between humans and machines, as well as exploring new creative opportunities that arise from the interaction between the two.
Monitoring and adaptation: As AI technology continues to evolve rapidly, content creators and social media managers must always be alert and adapt to changes. This involves staying informed about the latest trends and developments in AI and being willing to adjust strategies and approaches as necessary.
Conclusion
Artificial intelligence has the potential to revolutionize content creation on social networks, offering opportunities to improve efficiency, personalization and moderation. However, also it also presents significant risks in terms of misinformation, filter bubbles and loss of authenticity.
To make the most of the opportunities and address the risks, content creators and social media managers must take a proactive and collaborative approach, establishing clear policies, promoting transparency, encouraging education and awareness, and exploring new forms of human-AI innovation and collaboration.
Written by
Josep Moré Gili
References
Holgado, R. (2022). This is how they use AI to create fake faces of people: “Deepfakes are evolving at a dizzying pace” 20 Minutes. https://www.20minutos.es/tecnologia/ciberseguridad/asi-usan-la-ia-para-crear-rostros-falsos-de-personas-los-deepfakes-evolucionan-a-un-ritmo-vertiginoso-5050056/
Chesney, R., & Citron, D. K. (2018). Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review, 107, 1753-1809. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3213954
Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., … & Trench, M. (2017). Artificial intelligence: The next digital frontier?. McKinsey Global Institute. https://www.mckinsey.com/~/media/mckinsey/industries/advanced%20electronics/our%20insights/how%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/mgi-artificial-intelligence-discussion-paper.ashx
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A story from the Saturdays.AI community. Originally published on Apr 17, 2023.
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