Social science

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The ParlSpeech V2 data set: Full-text corpora of 6.3 million parliamentary speeches in the key legislative chambers of nine representative democracies

The ParlSpeech V2 data set: Full-text corpora of 6.3 million parliamentary speeches in the key legislative chambers of nine representative democracies

Stefan
Open Dataset
Publication Date: 2020
Creators: Rauh, Christian; Schwalbach, Jan

ParlSpeech V2 contains complete full-text vectors of more than 6.3 million parliamentary speeches in the key legislative chambers of Austria, the Czech Republic, Germany, Denmark, the Netherlands, New Zealand, Spain, Sweden, and the United Kingdom, covering periods between 21 and 32 years. Meta-data include information on date, speaker, party, and partially agenda item under which a speech was held. The accompanying release note provides a more detailed guide to the data. (2020-03-11)

The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables

The CEPS EurLex dataset: 142.036 EU laws from 1952-2019 with full text and 22 variables

Stefan
Open Dataset
Publication Date: 2020
Creators: Borret, Camille; Laurer Moritz

The dataset contains 142.036 EU laws – almost the entire corpus of the EU’s digitally available legal acts passed between 1952 – 2019. It encompasses the three types of legally binding acts passed by the EU institutions: 102.304 regulations, 4.070 directives, 35.798 decisions in English language. The dataset was scraped from the official EU legal database (Eur-lex.eu) and transformed in machine-readable CSV format with the programming languages R and Python. The dataset was collected by the Centre for European Policy Studies (CEPS) for the TRIGGER project (https://trigger-project.eu/). We hope that it will facilitate future quantitative and computational research on the EU.

CrowdTangle Platform and API

CrowdTangle Platform and API

Stefan
Open Dataset
Publication Date: 2019
Creators: Garmur, Matt; King, Gary; Mukerjee, Zagreb; Persily, Nate; Silverman, Brandon

This document describes the CrowdTangle API and user interface being provided to researchers
by Social Science One under its collaboration framework with Facebook. CrowdTangle is a
content discovery and analytics platform designed to give content creators the data and insights
they need to succeed. The CrowdTangle API surfaces stories, and data to measure their social
performance and identify influencers. This codebook describes the data’s scope, structure, and
fields.

Facebook URL Shares

Facebook URL Shares

Stefan
Open Dataset
Publication Date: 2018
Creators: Solomon Messing; Bogdan State; Chaya Nayak; Gary King; Nate Persily

The data describes web page addresses (URLs) that have been shared on Facebook starting January 1, 2017 and ending about a month before the present day. URLs are included if shared by at least 20 unique accounts, and shared publicly at least once. We estimate the full data set will contain on the order of 2 million unique urls shared in 300 million posts, per week.

Facebook Ad Library

Facebook Ad Library

Stefan
Open Dataset
Publication Date: 2019
Creators: Franklin Fowler, Erika; Franz, Mike; King, Gary; Martin, Greg; Mukerjee, Zagreb; Persily, Nate

The Ad Library API provides programmatic access to the Facebook Ad Library, a collection of all political advertisements run on Facebook and Instagram since May 2018 in the US, and for other dates in different countries. The codebook describes the scope, structure, and fields of these data.

Facebook Privacy-Protected Full URLs Data Set

Facebook Privacy-Protected Full URLs Data Set

Stefan
Open Dataset
Publication Date: 2020
Creators: Messing, Solomon; DeGregorio, Christina; Hillenbrand, Bennett; King, Gary; Mahanti, Saurav; Mukerjee, Zagreb; Nayak, Chaya; Persily, Nate; State, Bogdan; Wilkins, Arjun

This is a codebook for data on the demographics of people who viewed, shared, and otherwise interacted with web pages (URLs) shared on Facebook, between January 1, 2017 and October 31, 2022. The data has about 68 million URLs, over 3.1 trillion rows, and over 71 trillion cell values. It results from a collaboration between Facebook and Social Science One (at IQSS at Harvard), originally prepared for Social Science One grantees and describes the “full” URLs dataset, including its scope, structure, and fields. This is version 10 of the codebook and data (released 4/13/2023), first described by Gary King and Nathaniel Persily at https://socialscience.one/blog/update-social-science-one.

Customer Support on Twitter

Customer Support on Twitter

Stefan
Open Dataset
Publication Date: 2017
Creators: Axelbrooke, Stuart

The Customer Support on Twitter dataset is a large, modern corpus of tweets and replies to aid innovation in natural language understanding and conversational models, and for study of modern customer support practices and impact. The dataset includes replies of companies like Apple, Amazon, Uber, Delta, Spotify and others.

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