The feeling of deep societal division is an artifact of platform design. Algorithms amplify extreme voices because they generate engagement, creating a false impression of widespread polarization. In reality, without these amplified voices, most people's views on contentious topics are quite moderate.
Despite the vitriol on social media and in political discourse, the actual social reality is not nearly as polarized. On fundamental issues like the fairness of gerrymandering or the need for a welfare system, there is massive agreement between Democrats and Republicans. Political actors and media amplify conflict, creating a participatory 'cosplay' of division that obscures vast common ground.
Cable news and social media don't show the average person who votes differently. They blast the loudest, most cartoonish "professional lunatics" from the opposing side. This creates a false impression that the entire opposition is extreme, making tribalism seem rational.
The perception of a deeply divided society is largely an artifact of a political system built on competition and elections, which forces people into two opposing camps. A system based on deliberation would reveal that most people's views are not so rigidly coherent, and it would encourage finding common ground rather than winning at all costs.
Algorithms optimize for engagement, and outrage is highly engaging. This creates a vicious cycle where users are fed increasingly polarizing content, which makes them angrier and more engaged, further solidifying their radical views and deepening societal divides.
Extremist figures are not organic phenomena but are actively amplified by social media algorithms that prioritize incendiary content for engagement. This process elevates noxious ideas far beyond their natural reach, effectively manufacturing influence for profit and normalizing extremism.
A/B testing on platforms like YouTube reveals a clear trend: the more incendiary and negative the language in titles and headlines, the more clicks they generate. This profit incentive drives the proliferation of outrage-based content, with inflammatory headlines reportedly up 140%.
The online world, particularly platforms like the former Twitter, is not a true reflection of the real world. A small percentage of users, many of whom are bots, generate the vast majority of content. This creates a distorted and often overly negative perception of public sentiment that does not represent the majority view.
As the general public tunes out of daily politics, the remaining participants are the most extreme, creating an "evaporative cooling" effect. This leaves a small, hyper-engaged, and radicalized group to dominate political platforms, distorting the perception of public sentiment.
Most people (88%) agree on fundamental values but remain silent, fearing ostracization. This allows the most extreme 5% of voices to dominate 90% of public discourse, creating a false impression of widespread disagreement and polarization where one doesn't exist.
Personalized media algorithms create "media tunnels" where individuals experience completely different public reactions to the same event. Following a political assassination attempt, one person's feed showed universal condemnation while others saw widespread celebration, highlighting profound social fragmentation.