{"id":15215,"date":"2025-11-02T17:00:00","date_gmt":"2025-11-02T16:00:00","guid":{"rendered":"https:\/\/holistic.news\/en\/?p=15215"},"modified":"2025-11-02T11:15:14","modified_gmt":"2025-11-02T10:15:14","slug":"visuals-in-disinformation-why-we-trust-the-look","status":"publish","type":"post","link":"https:\/\/holistic.news\/en\/visuals-in-disinformation-why-we-trust-the-look\/","title":{"rendered":"Your Brain Believes the Look, Not the Data: How Visuals in Disinformation Trick Us"},"content":{"rendered":"\n

Understanding the Psychology of Visuals in Disinformation<\/h2>\n\n\n\n

New research from MIT suggests that persuasive communication works on multiple levels. When a chart pops up on your social media feed, you often don’t even scrutinize the data<\/strong>. Before you start reading the numbers, you are already subconsciously judging: “That looks like something created by a right-winger,”<\/em> or “That style reminds me of the left.”<\/em> Based on that initial impression and your own views, you decide whether the chart is credible.<\/p>\n\n\n\n

This isn’t a flaw in thinking, but rather a newly described layer of visual communication<\/strong>, which the MIT team recently detailed in a series of studies. “We showed that visualizations convey more than just the data itself. They also communicate social signals,”<\/em> explains Arvind Satyanarayan, co-author of the work presented at the IEEE Visualization conference<\/a>.<\/p>\n\n\n\n

Our Views Allow Judging Even Blank Graphs<\/h2>\n\n\n\n

The researchers interviewed users of the Tumblr platform and conducted surveys with a broader group of respondents. They showed them charts<\/strong>\u2014both in their original form and with the text, title, and axis labels removed. The effect was intriguing.<\/p>\n\n\n\n

In both cases, participants formulated detailed assessments<\/strong>. Based solely on the chart\u2019s appearance, they speculated<\/a> that someone posted it on Instagram or Reddit, suggested it was likely created by a “conservative boomer,” or perceived it as a corporate presentation. This readiness to pass judgment, according to the scientists, says a lot about our low resistance to misinformation.<\/p>\n\n\n\n

Intuition Trumps Data: What Shapes Our Trust?<\/h2>\n\n\n\n

“If you’re scrolling through social media and you instantly dismiss a chart as something created by an influencer for attention, that shapes your entire experience\u2014before you even dive into the data<\/em>,” emphasizes Satyanarayan. So, what factors influence our opinion about a graph? The researchers investigated that, too.<\/p>\n\n\n\n

\ud83d\udd0d ONLINE DISINFORMATION<\/strong>
A separate study shows that only 15% of the most active social media users<\/strong> are responsible for spreading as much as 30\u201340% of false information<\/strong>. This means that a relatively small group can have a huge impact on the growth of online disinformation. <\/div>\n\n\n\n

Key design elements proved crucial: the color palette, the font choice, and the overall graphics quality.<\/strong> One study participant instantly formed a strong opinion about the authorship of a graph just by seeing a chart featuring the flags of Georgia and Texas and a red-and-black color scheme.<\/p>\n\n\n\n

Though the chart lacked any text, the respondent declared, “That looks like something a Texas Republican would put on Twitter.”<\/em> The mere visual style was enough for the recipient to estimate the sender’s political views and origin<\/strong>. They even guessed the platform where the chart supposedly appeared.<\/p>\n\n\n\n

Does Education Protect Us? Not Always<\/h2>\n\n\n\n

Interestingly, these intuitive assessments<\/a> did not depend on the participant’s level of education<\/strong> or their data literacy skills.<\/p>\n\n\n\n

“It\u2019s not a mistake that people draw these conclusions. It requires a great deal of cultural knowledge about where data visualizations come from, how they are made, and how they are distributed. Drawing conclusions is a feature, not a bug, of how we use signs,”<\/em> notes Graham M. Jones, an anthropologist at MIT.<\/p>\n\n\n\n

Which Charts Do We Trust?<\/h3>\n\n\n\n

The researchers even created a typology of specific associations. Charts deemed “too beautiful” raised suspicions<\/strong> of advertising manipulation<\/a>. Conversely, graphics designed in a “default Word settings” style were perceived as honest<\/strong>, albeit amateurish. “If something is so pretty that you can tell a graphic designer approved by the marketing department made it, they are trying to sell you something,”<\/em> explained one respondent.<\/p>\n\n\n\n

\ud83e\udde0 THE SOURCE OF DISINFORMATION<\/strong>
Another study found that approximately 14% of U.S. adults<\/strong> admitted to knowingly sharing false political information<\/strong>. This indicates that it’s not always just carelessness\u2014sometimes people act deliberately. <\/div>\n\n\n\n

Trust Goes Beyond Aesthetics<\/h2>\n\n\n\n

In subsequent studies, the researchers examined what influences trust in a chart. It turned out that the sheer aesthetics of the design were less significant than the author’s presumed intentions<\/strong> and the values they represent. A statistical model showed the most important factors were the perceived goal of the communication (to inform or to manipulate), the perceived competence of the creator, and\u2014crucially\u2014whether the recipient felt the author “was on their side.”<\/p>\n\n\n\n

“In our best model, the ‘intention’ variable explained 38% of the variance in trust, while ‘beauty’ only explained 13%,”<\/em> the study authors write.<\/p>\n\n\n\n

Our Intuitive Judgments Can Fuel Manipulation<\/h2>\n\n\n\n

Michelle Morgenstern, a co-author of the research, warns that in an era of polarization and anti-science movements, this finding has deep consequences regarding the spread of misinformation<\/strong>. “If the color scheme and layout of a chart suggest it was created by someone from ‘the other side,’ the recipient might reject even true data,”<\/em> the researcher claims. She explains, “Simply engaging with it would be an act of betrayal against one’s own identity.”<\/em><\/p>\n\n\n\n

Does this mean that scientists should now design their charts to appeal to specific audiences? The MIT team does not offer easy solutions but urges: Ignoring this invisible layer of communication is a risk<\/strong> that modern science cannot afford to take, especially regarding visuals in disinformation.<\/p>\n\n\n\n

\n\n\n\n

Read this article in Polish:<\/em> K\u0142amstwa sprzedaje si\u0119 grafik\u0105. Przekonuj\u0105 nas wykresy, a\u00a0nie\u00a0dane<\/a><\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

In this era of pervasive misinformation, we often expose ourselves to danger without realizing it. New research from MIT reveals that our perception of a chart\u2019s truthfulness and the author\u2019s intentions are swayed by a psychological mechanism: we believe the graph’s appearance, not the underlying data. Researchers warn this is a serious problem, underscoring the powerful role of visuals in disinformation.<\/p>\n","protected":false},"author":275,"featured_media":15216,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[435],"tags":[1056,737,798,834,478,1938],"class_list":["post-15215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science","tag-data","tag-manipulation","tag-psychology","tag-science","tag-social-media","tag-social-media-manipulation"],"acf":[],"yoast_head":"\nVisuals in Disinformation: Why We Trust the Look<\/title>\n<meta name=\"description\" content=\"MIT scientists reveal how Visuals in Disinformation exploit our instincts \u2014 showing that design, not data, shapes what we believe online.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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