The Brexit Botnet and User-Generated Hyperpartisan News

By Marco Toledo Bastos, Dan Mercea. 2019

374 citations recorded by the source corpus.

Subfields: Communication, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/0dcf170200969c29476284619dcc438070abe488

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Heng Ji
2. Preslav Nakov
3. Yejin Choi

In Information Systems

1. Heng Ji
2. Preslav Nakov
3. Yejin Choi
4. Todor Mihaylov
5. Anette Frank

In Sociology and Political Science

1. Preslav Nakov
2. Yejin Choi
3. Heng Ji
4. Kung-Hsiang Huang
5. Maarten Sap
6. Noah A. Smith
7. Giovanni Da San Martino
8. Alberto Barrón-Cedeño

Citations in the corpus

• Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation (2022, background): “In particular, human-written disin-formation 2 is often used to manipulate certain populations and had a catastrophic impact on multiple events, such as Brexit (Bastos and Mercea, 2019), the COVID-19 pandemic (van Der Linden et al., 2020), and the 2022 Russian assault on Ukraine.”