By: Emmanuel Koranteng Asomani
Today’s information environment has become more chaotic and manipulative than ever. Unfortunately, we do not have a choice, as the internet and social media have become our new realm for information of all kinds, from hard news to lifestyle updates to music videos, etc. But have you ever paused to consider why you keep seeing a particular kind of content, say vlogs on food regularly on your feed?
Well, the science behind that is what is termed an algorithm. Algorithms can simply be explained as a set of rules or calculations designed to fulfill a task. In the realm of social media, algorithms evaluate input data. This information includes what content a user may have liked, who their connections on that platform are, or what posts they may have interacted with. All of these are used to determine what information the user will see on their news feed, timeline, or stream, and to predict what these users might be more likely to engage with. Algorithms create personalized online experiences, which means each of us inhabits our own unique universe of information, often referred to as “echo chambers” or “filter bubbles.”
Helping bring these experiences to life are entities that constitute the media ecosystem. In the media ecosystem are usually audience members, or largely passive users who share content but do not necessarily create large amounts of it. Then there are active content creators who produce a lot of information. They tend to have a lot of influence on the kind of information audience members consume and can include government entities, news organizations, bloggers, and influencers, as well as bad actors who try to sow discord.
But examining or auditing social media algorithms can be extremely difficult. They are opaque, complex systems that aren’t easy to understand and inaccessible to the public. According to The Washington Post, for example, Facebook’s algorithm takes in more than 10,000 different signals to predict whether a person may interact with a post.
Amplification of Mis/disinformation and Hate speech
Algorithms become powerful engines for the propagation and amplification of misinformation, disinformation, and hate speech. They are blind to the truth. Often, fact-based content may receive little engagement on social media, while a divisive meme or a sensationalized claim can generate a thousand furious comments and shares in minutes. This often results in users not being presented with a balanced diet of information but instead being fed an endless stream of what they are algorithmically determined to crave.
Erosion of Shared Reality and Democratic Discourse
The proliferation of these personalized filter bubbles poses an existential threat to a shared reality, a fundamental prerequisite for a healthy democracy. When different segments of the population operate based on entirely different sets of “facts,” constructive debate and compromise become impossible. We cease to agree on solutions and instead focus on the problems.
This fragmentation is usually exploited by malign forces. Foreign disinformation campaigns and domestic actors have become experts at “gaming” the algorithm. They use coordinated inauthentic behavior, bots, and highly targeted content to manipulate public opinion, suppress voter turnout, or inflame social tensions.
Moving Forward: Responsibility and Solutions
Fixing this problem requires a multi-faceted solution that doesn’t just put the burden on users. First, we need more transparency, forcing social media platforms to allow independent audits of their algorithms to identify biases. Second, the platforms themselves must be incentivized through regulations and policy to ethically redesign their systems to promote accuracy and diverse views instead of just engagement. Finally, we need to empower people through digital literacy education, teaching them to spot misinformation and understand how their feeds work, while also giving them more direct control over their own algorithms.
Conclusion
Algorithms are not inherently good or evil, they reflect the priorities programmed into them. Their impact on how information spreads has been profound: the acceleration of misinformation, the amplification of division, and the erosion of trust.
Safeguarding our information ecosystem is non–negotiable, as it has become one of the defining challenges of our time. The integrity of our public discourse demands a collective effort from regulators demanding transparency, to engineers designing for ethics, and users becoming conscious and critical consumers of the digital world they inhabit.
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