Anti-Vaccine Conspiracies Fuel Divisive Political Discourse

It might be tempting to think that the views and opinions of fringe groups online don’t have any real-world consequences, but there have been some high-profile cases of conspiracy theories breaking the confines of the online realm; for example, in the U.S., the so-called Capitol insurrection and far-right conspiracy group QAnon’s obstruction of vaccine efforts, and in Japan, the rise of controversial political party Sanseito, which is built on a variety of conspiracy theories and anti-immigration rhetoric, amongst other things, but also environmentalism. And while the spread and impact of conspiracy theories is a global issue, there are some instances that are particular to Japan.

“The uniqueness of conspiracy theorists leaning left in Japan may be attributed to the impact of the 2011 Fukushima nuclear disaster,” said Toriumi. “While anti-nuclear sentiments have long been associated with leftist ideologies, the addition of the fear stemming from radioactive contamination has led to the proliferation of conspiracy theories predominantly within the leftist spectrum, believed to be related to fear surrounding the incorporation of foreign substances into the human body. This might have heightened fear, hesitancy and mistrust in vaccines during the pandemic and was likely reinforced by increased representation online.”

All over the world, not just in Japan, social media is considered a major vector for spreading misinformation. The prominent factors for this include the rapid dissemination of information and the wide scope of its reach, as well as the influence of the echo chamber, the nature of social media platforms to present users with things that likely support — and reinforce — their biases. These unique characteristics of social media make it more susceptible to the spread of misinformation compared to traditional media, which are more likely to have editorial oversight or even legal regulation regarding content, and which social media usually lacks. Social media platforms also contain a vast sea of data, which make them far more difficult to observe and analyze.

“The most challenging aspect of conducting this research was applying machine learning and data analysis techniques to vast feeds of Twitter data that were constantly changing,” said Toriumi. “This was done to classify patterns of people’s attitude changes toward the COVID-19 vaccine, distinguishing between persistent anti-vaxxers and pandemic-induced new anti-vaxxers. In the future, we intend to explore the effectiveness of different communication strategies in addressing vaccine hesitancy and misinformation. Additionally, we plan to investigate the role of social media platforms and their algorithms in amplifying or mitigating the spread of conspiracy theories and misinformation. Understanding these dynamics is crucial for developing effective interventions to promote public health and combat misinformation.”