AI and algorithms in social media might sound like a significant step forward for these platforms, but it could lead to ethical issues if we're not careful.
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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