Somewhere right now, a researcher is likely looking at a dataset from two nations that don’t share a language, a time zone, or a political tradition in an attempt to understand why people continue to hold false beliefs. It’s a peculiar type of detective work. Not glitzy. However, the results of these cross-cultural misinformation studies are beginning to alter the way platforms consider what and where to display content.
A study that looked at Instagram users in Greece and Portugal earlier this year discovered something that may seem straightforward, but it goes surprisingly deep. It turned out that Greek users were more likely to trust content shared by friends and family. They also spent more time on the platform and paid less attention to obvious red flags, such as poor grammar, emotive language, or posts that went against their preexisting beliefs. Portuguese users showed greater skepticism and were more aware of content quality as a sign of dependability. identical platform. very distinct behavior. It’s possible that no one ever truly took that kind of cultural difference into consideration when creating Instagram’s feed.
Cross-cultural misinformation research is an emerging field that feels truly urgent because of this. The majority of platforms are developed in California and are influenced by presumptions about human information processing that don’t always hold true. The cozy notion that one algorithm works for everyone begins to seem rather shaky when researchers start looking at how a user in Athens reacts to the same piece of false content differently than someone in Lisbon.
As you travel farther around the world, the picture becomes increasingly complex. Cultural relevance is crucial, according to a different study that compared the efficacy of two media literacy games: Harmony Square, which was designed for Western audiences, and Gali Fakta, which was created for Indonesia. Gali Fakta enhanced the degree to which Indonesian participants assessed content before disseminating it. When tested in Indonesia, Harmony Square, which was created for a completely different cultural context, had virtually no effect. Both games were successful in the US. Observing the data suggests that even well-meaning anti-misinformation tools may fall short if they fail to take into account the culture in which they are being used.
It poses a question that platforms have been reluctant to publicly address: should social media layouts vary based on users’ geographic locations? The actual structure of what is surfaced, flagged, or slowed down—not just the language or currency settings. There is some evidence that friction, or minor design decisions that make sharing a little more difficult, can lessen impulsive forwarding of content that hasn’t been verified. However, someone in Jakarta or Thessaloniki might find friction created for the habits of an American user condescending or perplexing.
The field grew rapidly after 2015, with the majority of published work coming from China and the United States, according to scientometric research mapping misinformation studies from 2010 to early 2024. Questions are raised by that concentration itself. It’s still unclear if the frameworks that predominate in academic literature truly capture the ways in which misinformation proliferates in societies with disparate media histories, trust systems, and political environments.
The idea that a single global content strategy was likely never going to be sufficient is becoming more difficult to refute. The researchers working on these projects are primarily advocating for platforms to pay closer attention to the cultural data they already gather, rather than advocating for anything drastic. Depending on where you open your phone, the layouts, prompts, and brief instances where a platform asks you to wait before sharing something might all need to change. That is a significant alteration. However, the issue of false information is not a minor one.
