Essay 2
The Hidden Forces Behind Misinformation
Adrian Benjamin · ENG C1000 · Prof. Griffiths · 24 July 2026
There are millions of internet users who browse social media sites and news websites daily without scrutinizing what they see. The Internet was supposed to provide people with easier ways to find the truth. However, it has turned out to be one of the most effective tools for spreading false information. Misinformation does not spread only because people are careless or gullible, but because it exploits the very way the human brain processes information and cooperates with all sorts of technologies that people encounter every minute. Psychological biases such as confirmation bias and motivated reasoning make individuals more susceptible to accepting claims that do not contradict their beliefs, often without their awareness. Social networks use algorithms that know what a person wants to hear and then provide them with exactly that, thereby limiting their view of the world. And when information carries a strong emotion, it becomes especially powerful, because the audience agrees with the content before thinking it through. Both of these phenomena can be observed in Eli Pariser’s TED Talk “Beware Online ‘Filter Bubbles’” and the documentary After Truth: Disinformation and the Cost of Fake News: the influence of algorithms and the influence of emotional manipulation on what people believe. The good news is that recognizing these patterns is the first step toward resisting them. Misinformation spreads so easily today because of a combination of human biases, algorithmic filter bubbles, and the emotional force of fear and hatred, and if people learn to recognize these patterns and assess sources critically, they can slow its spread.
One of the reasons misinformation spreads quickly is confirmation bias. People do not evaluate every claim they encounter with the same degree of skepticism. Instead, they tend to accept information that matches their beliefs. As the research guide on misinformation from the Halle Library at Eastern Michigan University explains, confirmation bias is “the natural tendency we have to look for, focus on, and accept information that agrees with, supports, and reinforces our current beliefs.” This tendency gives insight into why erroneous information continues to circulate. People are often not misled so much as attracted to information that they find familiar or comfortable, even when it is incorrect. You do not have to be fooled into believing something if it already fits into what you wanted to believe in the first place.
Once motivated reasoning enters the equation, the significance of confirmation bias grows considerably. While confirmation bias refers to a mere mental inclination toward previously held beliefs, motivated reasoning involves active participation in the process. According to the same source from the Halle Library, motivated reasoning occurs when people intend “to find or interpret information in a way that fits well with their preferences and ignore any evidence providing the opposite point of view.” So some people do not merely embrace comfortable knowledge; they actively defend it. If a piece of evidence contradicts an existing belief, there is a high chance the information will be explained away rather than absorbed. This shows that misinformation is not only something people accidentally fall for. For many, it is something they actively protect.
Beyond individual psychology, the design of social media itself is essential to understanding how disinformation is disseminated. Social media platforms do not display a neutral flow of content; instead they use algorithms that analyze one person’s clicks and behaviors and then position content according to that person’s apparent interests. Eli Pariser addresses this directly in his TED Talk “Beware Online ‘Filter Bubbles,’” noting that in the personalized universe of information a person lives in online:
You don’t decide what gets in, and more importantly, you don’t see what gets edited out.— Eli Pariser, “Beware Online ‘Filter Bubbles’”
This idea captures something important. Misinformation is not only a personal issue rooted in bias; it is also built into the structure of the platforms people use every single day, making it harder to encounter opposing or corrective information even when a person might want to.
Psychology and algorithms explain how misinformation spreads, but emotion often explains why it spreads so fast. Fake news rarely wins people over with careful evidence. Instead, it usually relies on fear or anger to grab attention. In the documentary After Truth: Disinformation and the Cost of Fake News, Molly Levinson states plainly:
A lot of what fuels misinformation and what we call fake news is hate.— Molly Levinson, After Truth: Disinformation and the Cost of Fake News
This point matters because it reframes the problem. Misinformation is not just a logical failure that happens when people lack information; it is an emotional one. People are far more likely to believe, and to share, something that triggers a strong feeling, such as outrage, fear, or righteous anger, than something that simply presents facts in a calm and measured way.
The consequences of this emotional pull are not limited to arguments online; they can spill over into the real world with dangerous results. After Truth documents the Pizzagate conspiracy, in which false claims about a Washington, D.C. pizzeria convinced a man to show up armed, believing he was rescuing children from a trafficking ring that never existed. The documentary explains that the man was willing to act “based off of fake erroneous news stories.” This example shows that the effects of misinformation reach far beyond confusion or disagreement on a screen. When people act on false information, they can put real people in real danger, proving that misinformation is not a harmless side effect of the internet age but a serious problem with serious consequences.
Given how deeply bias, algorithms, and emotion are woven into the spread of misinformation, learning to recognize these patterns is essential. It is not enough to hope that false information will simply disappear on its own. The Foothill College Library’s guide on fake news recommends being “skeptical of claims in viral news articles” and encourages readers to check a source’s purpose, authority, accuracy, and currency before accepting it as true. This advice matters because it puts real power back into the hands of the reader. Misinformation is powerful, but people are not completely powerless against it. Learning to slow down, question sources, and evaluate claims critically can reduce how much false information people accept and, just as importantly, how much they choose to share with others.
Works Cited
- After Truth: Disinformation and the Cost of Fake News. Directed by Andrew Rossi, HBO Documentary Films, 2020.
- “How to Spot Fake News.” Fake News or Real News: Determining the Reliability of Sources, Foothill College Library, libguides.fhda.edu/c.php?g=597101&p=4132588. Accessed 24 July 2026.
- Pariser, Eli. “Beware Online ‘Filter Bubbles.’” TED: Ideas Worth Spreading, Mar. 2011, www.ted.com/talks/eli_pariser_beware_online_filter_bubbles.
- “Reader Bias and Filter Bubbles.” Misinformation, Disinformation, and Bias, Eastern Michigan University Halle Library, guides.emich.edu/misinformation/readerbias. Accessed 24 July 2026.