RSS & Atom Feeds vs. Big Tech Social Media News Feeds

Most social media platforms do not display posts in chronological order. Instead, they use algorithms to determine what content to show you based on your behavior—what you click on, like, or share. These algorithms analyze vast amounts of data and prioritize content that’s most likely to keep you engaged for as long as possible. This manipulation works to increase user engagement and, ultimately, profit for these companies, but it also has a profound impact on what we see and believe. Here are a few examples:

• Echo Chambers and Polarization
  Algorithms tend to show us more of what we already like and agree with. Over time, this creates echo chambers—digital spaces where we are surrounded by similar viewpoints. When people only see content that aligns with their own opinions, it reinforces their beliefs and prevents exposure to different perspectives. This phenomenon can fuel political polarization, as users become more entrenched in their viewpoints, leading to heightened social division.

• Amplification of Emotional and Sensational Content
  Algorithms are designed to promote content that triggers emotional responses, particularly outrage or fear, as these emotions tend to generate more engagement. This is why sensationalized news and emotionally charged political content often appear at the top of feeds. For example, Facebook’s own internal studies, revealed in the 2021 Facebook Papers, showed that its algorithm was amplifying divisive, angry content because it kept users engaged longer. This is particularly harmful when it comes to false narratives, as these stories are more likely to be shared when they evoke strong emotional reactions, leading to widespread public deception.

• Surveillance and Data Harvesting
  Another corrupt aspect of Big Tech’s manipulation is the way these companies harvest vast amounts of user data to further refine their algorithms and maximize ad revenue. Companies track every click, scroll, and interaction to build a detailed profile of each user. This information is sold to advertisers or used to tailor the content in your news feed to keep you hooked.
  Beyond mere advertising, this data can be used for more insidious purposes, such as political manipulation. More broadly, Big Tech can shape the course of social movements by giving disproportionate visibility to certain voices or downranking others. This power can be used both to promote grassroots campaigns, but also to suppress dissenting voices.

• Surveillance Capitalism
  This term describes how Big Tech companies monetize personal data by surveilling users and creating predictive models of human behavior. By using data harvested from news feed interactions, tech companies can sell detailed user profiles to advertisers, who use these insights to target individuals with precision ads. This economic model, built on constant surveillance, makes it nearly impossible for users to avoid being tracked online. Surveillance capitalism turns user behavior into a commodity, violating privacy in the pursuit of profit. Worse yet, this behavior-modifying system can be used to influence not just what we buy, but how we think and act.

• The “Filter Bubble” Effect
  The term “filter bubble,” refers to the personalization algorithms used by Big Tech to show you only content that aligns with your previous preferences. This isolation of information creates a self-reinforcing loop where users are insulated from viewpoints that challenge their assumptions. This leads to a distorted reality in which everything we see online confirms our existing beliefs, regardless of whether those beliefs are factual. For instance, someone interested in a certain political ideology will be fed more and more content supporting that viewpoint, while dissenting or critical information is filtered out, creating an illusion that everyone shares the same perspective.