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Related Experiment Video

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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

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Published on: November 10, 2023

COVID-19 Conspiracy Theories Discussion on Twitter.

Dmitry Erokhin¹, Abraham Yosipof², Nadejda Komendantova¹

¹International Institute for Applied Systems Analysis, Austria.

Social Media + Society

|October 17, 2022

Summary

COVID-19 conspiracy theories on Twitter evolved throughout the pandemic. Some peaked early, others grew, and some persisted, with case numbers influencing discussion frequency.

Keywords:

COVID-19 Twitter conspiracy theory infodemic

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Area of Science:

Social Sciences
Communication Studies
Public Health

Background:

The COVID-19 pandemic triggered widespread behavioral changes and a search for explanations, leading to the rise of conspiracy narratives.
Understanding the dynamics of these conspiracy theories is crucial for public health communication and combating misinformation.

Purpose of the Study:

To analyze the evolution and discussion patterns of various COVID-19 conspiracy theories on Twitter from January 2020 to November 2021.
To categorize the temporal trends of different conspiracy theories based on their discussion volume over time.

Main Methods:

A dataset of 1.269 million tweets related to eight specific COVID-19 conspiracy theories was collected and analyzed.
Tweets were analyzed to identify discussion trends, categorize theories into distinct behavioral groups, and assess the correlation with new case numbers.

Main Results:

Conspiracy theories like 5G and FilmYourHospital peaked early and declined. Big Pharma and vaccine-related theories increased as the pandemic progressed.
Exaggeration and Bill Gates theories remained persistent, while GMO and biological weapon theories showed multiple peaks.
The frequency of new COVID-19 cases significantly predicted tweet volume for most conspiracy theories.

Conclusions:

COVID-19 conspiracy theory discussions on Twitter exhibit distinct temporal patterns, influenced by pandemic progression and real-world events.
The findings provide insights into the spread of misinformation and can inform strategies to counter conspiracy narratives during public health crises.