# Proppy Corpus 1.0 Version 1.0: March 25, 2019 --------------------------- This file describes the corpus Proppy 1.0. This is the corpus used in the paper "Proppy: Organizing the News Based on Their Propagandistic Content" (see citation section). The corpus contains 52k articles from 100+ news outlets. Each article is labeled as either “propagandistic” (positive class) or “non-propagandistic” (negative class). The labeling was done indirectly using a technique known as distant supervision, i.e. an article is considered propagandistic if it comes from a news outlet that has been labeled as propagandistic by human annotators. ## Data format We provide the corpus in three tsv files, including training, development, and testing partiti...
Propaganda aims at influencing people’s mindset with the purpose of advancing a specific agenda. Pre...
This repository serves as a supplementary material for the article "‘The more populism types you kno...
We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detectio...
none4siPropaganda is a mechanism to influence public opinion, which is inherently present in extreme...
none4siWe present proppy, the first publicly available real-world, real-time propaganda detection sy...
The H-Prop dataset contains 28,630 articles created by translating a portion of Proppy Corpus in Hin...
We present proppy, the first publicly available real-world, real-time propaganda detection system fo...
Data Access: The data in the research collection provided may only be used for research purposes. Po...
This data set contains material for the purpose of scientific reproducibility of the accompanying ma...
Data Access: The data in the research collection provided may only be used for research purposes. Po...
This is the replication dataset for the publication "SNAP Judgments into the Digital Age: Reporting ...
The culture of online-news consumption continues to take shape and is gaining popularity, increasing...
In recent years, several datasets have been released that include images and text, giving impulse ...
People rely on news to know what is happening around the world and inform their daily lives. In toda...
Newer Version of this corpus in the 2018 version can be found here: https://doi.org/10.5281/zenodo.1...
Propaganda aims at influencing people’s mindset with the purpose of advancing a specific agenda. Pre...
This repository serves as a supplementary material for the article "‘The more populism types you kno...
We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detectio...
none4siPropaganda is a mechanism to influence public opinion, which is inherently present in extreme...
none4siWe present proppy, the first publicly available real-world, real-time propaganda detection sy...
The H-Prop dataset contains 28,630 articles created by translating a portion of Proppy Corpus in Hin...
We present proppy, the first publicly available real-world, real-time propaganda detection system fo...
Data Access: The data in the research collection provided may only be used for research purposes. Po...
This data set contains material for the purpose of scientific reproducibility of the accompanying ma...
Data Access: The data in the research collection provided may only be used for research purposes. Po...
This is the replication dataset for the publication "SNAP Judgments into the Digital Age: Reporting ...
The culture of online-news consumption continues to take shape and is gaining popularity, increasing...
In recent years, several datasets have been released that include images and text, giving impulse ...
People rely on news to know what is happening around the world and inform their daily lives. In toda...
Newer Version of this corpus in the 2018 version can be found here: https://doi.org/10.5281/zenodo.1...
Propaganda aims at influencing people’s mindset with the purpose of advancing a specific agenda. Pre...
This repository serves as a supplementary material for the article "‘The more populism types you kno...
We designed a larger and more generic Word Embedding over Linguistic Features for Fake News Detectio...