-
Election2020
The dataset is used to study the political biases of entities and hashtags on Twitter. It contains tweets from politicians, news outlets, and other verified Twitter accounts. -
Twitter Ideology-detection via Multi-task Multi-relational Embedding
The dataset is used to study political biases of entities and hashtags on Twitter. It contains tweets from politicians, news outlets, and other verified Twitter accounts. -
Congressional Voting Records (votes)
The dataset used in this paper is the Congressional Voting Records (votes) from the UCI machine learning repository. -
EU-Parliament Corpus
The dataset is used to analyze corpora in a completely language independent and unsupervised way without any prior linguistic knowledge. -
Affective Polarization Dataset
The dataset used in the paper is a collection of tweets related to affective polarization, with two scales: aversion against Republicans and aversion against Democrats. -
PolitiFact dataset
The PolitiFact dataset contains statements made by U.S. politicians (Democratic and Republican parties) using a six-level truthfulness scale.