Amusing or addictive? The algorithms powering our social feeds

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-13T23:35:19.051Z • Permanent link

Facebook's acquisition of Instagram in 2012 marked a turning point in the evolution of social media algorithms. The platform's AI-powered News Feed, designed to personalize content for users, raised questions about the potential for algorithms to manipulate user behavior. Fast forward to 2020, when TikTok's CEO, Shou Zi Chew, testified before the US Congress, stating that the app's algorithm was designed to keep users engaged for longer periods. Chew's comments echoed concerns raised by researchers and policymakers about the addictive nature of social media algorithms. The algorithms powering our social feeds have become a focal point of scrutiny, with many questioning their impact on mental health, user behavior, and societal trends.

ByteDance, the parent company of TikTok, has been at the center of attention for its algorithmic approach. The company's algorithm is designed to learn from user behavior and adapt to individual preferences. However, critics argue that this approach can lead to the spread of misinformation and the amplification of echo chambers. For instance, a study by the Pew Research Center found that nearly 70% of adults in the US reported feeling overwhelmed by the amount of information they encounter online. Such findings highlight the need for more transparent and accountable algorithmic practices.

The rise of social media algorithms has also raised concerns about data privacy and surveillance. In 2020, the US Federal Trade Commission (FTC) fined Facebook $5 billion for violating a 2012 consent order related to user data protection. The fine was a result of Facebook's acquisition of WhatsApp, which was seen as a major data breach. The incident highlighted the need for stronger data protection regulations and more stringent algorithmic transparency.

The impact of social media algorithms on user behavior has significant real-world implications for companies operating in the ByteDance & TikTok domain. Research communities, policymakers, and investors are increasingly concerned about the potential for algorithms to manipulate user behavior, leading to decreased engagement and increased competition for ad revenue. For instance, a study by the University of California, Berkeley found that social media algorithms can be used to spread misinformation, which can have serious consequences for public health and democratic processes.

Marketers and advertisers are also concerned about the accuracy and relevance of algorithmic targeting. A survey by the Association of National Advertisers found that 71% of marketers believed that social media algorithms were not effective in reaching their target audiences. The lack of transparency and accountability in algorithmic practices has led to a decline in trust and confidence among users, which can have severe consequences for companies operating in the digital space.

The impact of social media algorithms on user behavior also has broader implications for research communities and policymakers. For instance, a study by the University of Oxford found that social media algorithms can be used to manipulate user behavior and influence public opinion. The study highlighted the need for more research into the impact of social media algorithms on user behavior and societal trends.