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Self-published

Candidata: U.S. 2024 Elections Candidates and Social Media Posts (ICPSR 300490)

Released/updated on: 2026-03-25
Time period: 2023-01-01--2024-12-31

These data are restricted and require an application. To apply, see SOMAR’s Application Portal and Application Guide.

Candidata is a dataset of social media handles and posts for candidates for primary and general federal elections in the United States in 2024 across multiple social media platforms. The dataset spans Facebook, Instagram, Threads, TikTok, X (Twitter), YouTube, Gettr, Rumble, Telegram, and Truth Social. For interoperability, we provide FEC IDs and ICPSR IDs where available.

Curated
Restricted

ANES Social Media Study Restricted-Use Facebook Supplemental Data, 2020-2022 (ICPSR 38912)

Released/updated on: 2023-12-14
Geographic coverage: United States
Time period: 2020-08-20--2023-01-02

The ANES 2020-2022 Social Media Study was a two-wave survey before and after the 2020 presidential election and a third survey following the 2022 midterm elections in the United States. Data from these surveys are available as a public use file from the American National Election Studies (ANES) website. The three questionnaires have largely the same content, affording repeated measures of the same constructs. The questionnaire covers voter turnout and candidate choice in the 2020 presidential primaries and general election, the coronavirus pandemic, the economy, feeling thermometers, feelings about how things are going in the country, trust in institutions, political knowledge and misinformation, political participation, political stereotyping, political diversity of social networks, and campaign/policy issues including health insurance, immigration, guns, and climate change.

Self-published

Facebook Interaction Data and Survey of People: 2013 [Republic of Korea] (ICPSR 100221)

Released/updated on: 2016-07-02
Geographic coverage: South Korea
Data for the research were collected in two ways, through survey and data crawling. A web application using Facebook API was specifically built for the research. In order to measure intimacy levels that users feel towards each of their “friend,” a survey was conducted. Also, to measure similarities and interaction levels between people, users’ 23 profiles and activity log data (between users and each of their “friend”) were crawled through Facebook API. 
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