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Let's talk about the Algorithm

Do our social media algorithms encourage outlandish, divisive and extreme content? Is this not just a reflection of our nature as humans? Why do we slow down to look at a car crash on the other side of the road? Should we be trying to shape the function and mechanics of these platforms to encourage a more peaceful and cooperative community? I have questions!


Facebook, Instagram, and many other social media platforms use algorithms to curate and prioritize content for users. These algorithms are typically designed to maximize user engagement, which in turn can lead to increased ad revenue for the platform. The underlying mechanics of these algorithms have been a topic of scrutiny and concern, especially when it comes to their potential societal impact.


How these various social media algorithms have negatively changed our world.

  1. Maximizing Engagement: Social media algorithms often prioritize content that users are likely to engage with. Engagement can be in the form of likes, comments, shares, or time spent viewing a post. However, content that evokes strong emotional reactions, whether positive or negative, often garners more engagement. As a result, posts that are controversial, sensational, or divisive can be more visible.

  2. Echo Chambers and Filter Bubbles: Algorithms that are optimized for engagement can unintentionally create "echo chambers" or "filter bubbles." In these environments, users are primarily exposed to content that aligns with their existing beliefs, reinforcing their views and insulating them from diverse perspectives. This can contribute to polarization and make it harder for users to understand or empathize with opposing viewpoints.

  3. Misinformation and Extremism: Content that is sensational or outlandish, even if factually incorrect, can gain traction on these platforms. There are concerns that the algorithms can inadvertently promote misinformation, conspiracy theories, or extremist content if such content receives high engagement.

  4. Economic Incentives: The primary goal of social media platforms is often to generate revenue through advertising. Algorithms that increase user engagement and time spent on the platform are economically advantageous. This sometimes pits platform profit motives against societal wellbeing.

  5. Platform Responses: Recognizing the challenges and criticisms, platforms like Facebook and Instagram have announced various measures over the years to address the issues. This includes employing fact-checkers, tweaking algorithmic parameters, and removing or demoting content that violates their guidelines.

  6. Complexity: The relationship between algorithms and societal impact is multifaceted. Algorithms are not the sole reason for societal division or the spread of extreme views. However, they can amplify and exacerbate these issues when not carefully managed.

It's also worth noting that public opinion and research on the topic will continue to evolve rapidly. The intersection of technology, society, and human psychology is intricate, and ongoing studies will shed more light on these dynamics.


It's crucial for platforms, regulators, users, and the broader public to be aware of these challenges and collaboratively seek solutions. Adjusting algorithms, promoting media literacy, and establishing clearer platform guidelines are some of the ways that have been proposed to mitigate the negative effects.


And in the meantime, if we could refrain from reacting to things we want to see less of in our day-to-day lives, then perhaps we can make a small difference in shaping a more positive social media experience for everyone.








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