I launched my homepage today and there two articles that I noticed. First was that of a civil war with Biden as president (probably because of Trump supports saying he should still be president). The second was an article about WW3 with Russian "president" Vladimeer Putin invasion into Ukrainian failing miserably. It seems media articles are now only interested in to get people to view their article by using fear, especially after COVID. What can AI do about this down the road to make sure content is prioritized over click bait?

The issue you've described with sensational and fear-inducing content gaining prominence in media is indeed a concern. While AI can play a role in addressing this issue, it's important to note that the solution is multifaceted and involves a combination of technological, ethical, and societal changes. Here are some ways AI could potentially contribute to promoting prioritized and credible content over clickbait:

1. Content Filtering and Recommendation Systems: AI-powered algorithms can be designed to filter out sensationalist and clickbait content from being recommended to users. These algorithms can analyze the content for emotional triggers, misinformation, or excessive use of fear-inducing language, and then reduce their visibility in recommendations.

2. Credibility Assessment: AI tools can assess the credibility of sources and content based on factors such as author expertise, publication history, and fact-checking. Content from reputable sources could be given higher visibility, while content from dubious sources might be flagged or ranked lower.

3. Natural Language Processing (NLP) Analysis: Advanced NLP techniques can be used to analyze the language and sentiment of articles. If an article seems to rely heavily on fear-based language without substantial evidence, it could be flagged for review.

4. User Preferences: AI could learn from user preferences and behavior to provide content that aligns with their interests without resorting to sensationalism. If users engage more positively with informative and balanced articles, the AI could adjust its recommendations accordingly.

5. Transparency and Explainability: AI systems can provide explanations for why certain content is being recommended or surfaced. This can help users understand why they're seeing certain articles, and it can also hold media outlets accountable for their content choices.

6. Collaboration with Fact-Checkers: AI can work in tandem with human fact-checkers to verify claims made in articles. If an article is found to be spreading misinformation or false narratives, the AI can lower its visibility.

7. Promotion of Diverse Perspectives: AI algorithms can be designed to promote a diverse range of perspectives and opinions, reducing the echo chamber effect and providing users with a broader understanding of various issues.

8. Ethical Guidelines and Regulation: Governments and industry bodies can establish ethical guidelines and regulations for media outlets and platforms, requiring transparency about the use of AI algorithms and their impact on content prioritization.

9. Education and Media Literacy: AI can assist in providing educational content about media literacy, helping users become more discerning consumers of information. This could include recognizing clickbait, understanding bias, and verifying sources.

10. Feedback Loops: AI can incorporate user feedback to continuously improve its content recommendation algorithms. If users find a certain type of content manipulative or misleading, the AI can learn from this feedback and adjust its strategies.

Remember that while AI can play a significant role, it's not a silver bullet. Combating sensationalism and promoting credible content requires a collective effort from tech companies, media organizations, regulators, and users themselves to ensure a balanced and responsible information ecosystem.