
The ideological divide between opposing political groups has been drastically rising in various nations worldwide. This phenomenon, generally called political polarization, can lead to larger social division, extremism and political violence.
Researchers at Indiana University and City College of New York recently carried out a analysis geared towards better understanding the psychology of political polarization and, further notably, the thought patterns associated to extreme and opposing political views. Their findings, published in Communications Psychology, unveiled a hyperlink between the rising political polarization on-line and distorted strategies of pondering often associated to some psychological effectively being points, along with nervousness and despair.
“The idea for this paper was born in the middle of the 2023 Conference on Complex Systems in Brazil,” said Matteo Serafino, senior author of the paper. “In a keynote, Johan Bollen provided evaluation exhibiting a sharp rise in linguistic markers of cognitive distortions—rigid, damaging thought patterns often linked to nervousness and despair—in public discourse over bygone days 20 years. This immediately caught my consideration.
“Our crew had merely printed a paper on the rising depth of political polarization, and I began questioning whether or not or not these developments is maybe associated. Later that night time, over dinner, I shared the idea with Andrew Edinger, a Ph.D. scholar in Johan’s lab.”
This dialog between Serafino, Bollen, Edinger and their colleague Hernan Makse lastly initiated the evaluation mission that led to their recently printed paper. The objective of this mission was to find the probability that distorted, emotional pondering is maybe contributing to, or could even help to make clear, the rising extremity that characterizes on-line political posts.

“We started by accumulating over 85 million tweets from people talking regarding the U.S. presidential elections in 2016 and 2020,” outlined Serafino.
“Then, we appeared for specific phrases in these tweets that match patterns of distorted pondering, like ‘They’re all evil’ or ‘Everything is ruined.’ These come from cognitive behavioral treatment (CBT) and are generally called cognitive distortions—strategies of pondering that are overly damaging or extreme.”
To measure political polarization in on-line posts, the researchers analyzed political tweets, with a key take care of what on-line prospects retweeted and who had initially posted these tweets. This allowed them to estimate each individual’s political inclinations (i.e., left or correct) and the best way strongly they supported one side or the alternative.
“Using these methods, we could consider, for each individual, how quite a bit distorted pondering they confirmed of their tweets and the best way politically polarized they’ve been,” said Serafino. “We then used a statistical methodology referred to as linear mixed-effects models to research these patterns over time.”
Remarkably, Serafino and his colleagues found that between 2016 and 2020, utilizing rigid or damaging language by prospects on X elevated by over 40%. Moreover, people who appeared to show into further politically polarized over time appeared to make use of additional cognitively distorted language of their tweets.

“Distorted pondering appeared to precede polarization in some cases,” said Serafino. “This implies that how we predict—emotionally and cognitively—is also a key driver of polarization, not merely what we think about. Of course, our observations do not point out causality.”
In the long term, the findings of this newest study could help to deal with the rising political division in various nations worldwide, not solely by introducing new insurance coverage insurance policies or fact-checking measures, however as well as by utilizing psychological devices. For event, therapeutic exercise routines employed in cognitive behavioral treatment (CBT), a type of psychotherapy found to be promising for treating nervousness and despair, might also help people to acknowledge and alter the distorted thought patterns they exhibit when collaborating in political debates.
“This opens up new ideas for digital platforms, educators, and even civic campaigns to promote extra wholesome, further constructive public discourse,” said Serafino. “We’re presently fascinated about exploring whether or not or not the similar patterns we found on Twitter moreover appear on totally different social media platforms, like TikTookay, Reddit, or Facebook. These platforms differ in how people discuss and evaluating them could help us understand how distorted pondering spreads in a number of on-line environments.”
As part of their future analysis, Serafino and his colleagues moreover hope to larger understand the extent to which cognitive distortions set off political polarization, or vice versa. So far, they’ve found a correlation between distorted pondering and political polarization on-line, however they have not however established a causality between the two.
“We did uncover hints that distorted pondering would possibly come sooner than polarization, nonetheless future evaluation using further managed or experimental methods is required to confirm that,” added Serafino.
“We’re moreover very fascinated about how these patterns differ all through generations. Some analysis advocate youthful people is also further inclined to cognitive distortions on-line, nonetheless this hasn’t been completely examined. Understanding whether or not or not and why that’s true could have large implications for education, psychological effectively being, and civic engagement.”
Written for you by our author Ingrid Fadelli, edited by Gaby Clark, —this textual content is the outcomes of cautious human work. We rely on readers resembling you to take care of unbiased science journalism alive.
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More knowledge:
Andy Edinger et al, Cognitive distortions are associated to rising political polarization, Communications Psychology (2025). DOI: 10.1038/s44271-025-00289-4
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Rigid and damaging thought patterns linked to rising political polarization on-line ( 29)
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