By Jian Wang

The thesis focuses on participants involved in the January 6 insurrection. The major aims of this thesis are to find out who stormed the Capitol on January 6, 2021, and to learn what major factors influenced them to engage in the insurrection that broke the tradition of peaceful transition of power for the first time since Lincoln’s Presidential election. It is also to study the current intertwined relationships between political elites, social media, technology, disinformation and mass audiences, and how they gathered together and organized the 'stop the steal' campaign, causing the violence on the Capitol on January 6, 2021. By studying this, we can learn how to prepare to face other looming and ongoing challenges that disinformation poses to democracy in the near future such as the mid-term election this November and the next Presidential Election in 2024, creating viable solutions. The thesis selected 124 subjects out of 691 on the Capitol Breach Cases' list across all regions of the U.S. It organized their data, including their names, and primary demographics such as gender, race, the geography of residence, and age, and reviewed and examined their attitudes towards the insurrection on January 6, 2021 in response to a belief that the 2020 election was fraudulent. The findings show that majority of participants are white male. 91.13% or 630 (0.9113 x 691 = 630) of whom are employed and 30% of or 207 (0.3 x 691) participants who are university or college educated. A number of defendants had associations with QAnon conspiracy theory and some known DVE (domestic violent extremist) groups such as Proud Boys, the Oath Keepers, and Three Percenters. The most striking finding is that veterans were highly over-represented in the mob (17% or 117), which exceeds the percentage of veterans in the U.S. population as a whole. The thesis suggests that four possible motivations for their participation: extremism in the military, nationalism and patriotism, a belief in Donald Trump's false claims, and social media. It also reveals that there is a strong positive connection between disinformation on social media and participants as they (96% of or 663 participants) were nearly all active on social media platforms such as Facebook, Twitter, Parler and Instagram, sharing and receiving misinformation about the election. More specifically, social media platforms should bear responsibility because social media technology employs popularity-based algorithms that tailor content to maximize user engagement, increasing the level of polarization, partisan animosity and political sectarianism

Cambridge, MA: Master's thesis, Harvard University Division of Continuing Education., 2022. 131p.