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This dataset consists of publicly available Parler posts of prominent and prolific Parler users, selected for their influence on the platform as determined by either their close ties to the Trump White House or President Trump’s presidential campaign, or links to militia groups such as the Proud Boys, Oath Keepers, and Three-Percenters. This specially curated dataset of Parler influencers contains approximately 40,000 posts, with about 30,000 containing text. While this sample cannot be categorized as representative because it is small relative to the roughly 183 million Parler posts in publicly available datasets, it does offer a window into how key Trump supporters framed their concerns about the elections and other polarizing causes that roiled the nation in the lead up to January 6.

\n\n

The dataset supports the report Parler and the Road to the Capitol Attack, the first in a series of investigations into the impact of the \"alt-tech\" movement on U.S. national security. The report presents an initial snapshot of observations culled from an ongoing analysis of open source data related to the January 6, 2021, United States Capitol attack.

\n\n

Funded by New America Foundation

\n\n

Dataset is comprised of approximately 200 JSON files totaling 83 MB

\n

For the creation of the dataset and for analysis, the team used Python programming language and the pandas Data Analysis Library.

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Parler and the Road to the Capitol Attack"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"url"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"newamerica.org/future-frontlines/reports/parler-and-the-road-to-the-capitol-attack"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://www.newamerica.org/future-frontlines/reports/parler-and-the-road-to-the-capitol-attack/"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2020-10-01"},{"typeName":"productionPlace","multiple":true,"typeClass":"primitive","value":["Washington, DC"]},{"typeName":"contributor","multiple":true,"typeClass":"compound","value":[{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Project Leader"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Rondeaux, Candace"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Dalton Ben"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Nguyen, Cuong"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Simeone, Michael"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Taylor, Thomas"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Walker, Shawn"}}]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"New America Foundation"},"grantNumberValue":{"typeName":"grantNumberValue","multiple":false,"typeClass":"primitive","value":"Future Frontlines"}}]},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2022-11-21"},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Simeone, Michael"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2022-11-15"},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"Python"}},{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"panda Python Data Analysis Library"}}]},{"typeName":"dataSources","multiple":true,"typeClass":"primitive","value":["Max Aliapoulios, Emmi Bevensee, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, & Savvas Zannettou. 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