AI in Social Media: Ethical Considerations of AI and Algorithms in Shaping Social Media Interactions

These days, social media plays an integral part in life, influencing how we communicate, obtain information, and share information with each other. Although less than 30 years old , we have seen a huge evolution of platforms like Facebook, Twitter, TikTok, and LinkedIn: Facebook is now Meta and owns WhatsApp, Instagram, and Threads; Twitter is X.

Now, to delve deeper into the higher-level implications of algorithmic bias, we will examine the 2016 Trump election as a case study. Case Study: How Algorithms Affected Polarization/Echo Chambers in Trump 2016 Election Throughout the course of the 2016 US presidential election, research has shown that algorithms may have exacerbated political polarization by amplifying echo chambers and limiting the electorate’s exposure to diverse viewpoints.

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Navigating The Ethical Maze: How AI In Social Media Exploits Discussions For AdsNeil Sahota (萨冠军) is an IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) Advisor, Professor at UC Irvine, and author of the book: Own the A.I. Revolution. With 20 years of business experience, he works with clients and business partners to create next generation products/solutions powered by AI.
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Newsrooms Are Already Using AI, But Ethical Considerations Are Uneven, AP FindsI am the managing director of the Center for Community News at the University of Vermont, a nonpartisan organization dedicated to strengthening student reporting and local news across the country. I have been working at the intersection of civics, journalism, and higher education for more than twenty years. Previously, I served in the U.S.
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