@article{Botnevik2020,
title = {Brenda: Browser extension for fake news detection},
author = {Bjarte Botnevik and Eirik Sakariassen and Vinay Setty},
url = {https://arxiv.org/pdf/2005.13270.pdf},
doi = {10.1145/3397271.3401396},
year = {2020},
date = {2020-05-27},
journal = {Proceedings of the 43rd international acm sigir conference on research and development in information retrieval},
pages = { 2117–2120},
publisher = {Association for Computing Machinery},
abstract = {Misinformation such as fake news has drawn a lot of attention in recent years. It has serious consequences on society, politics and economy. This has lead to a rise of manually fact-checking websites such as Snopes and Politifact. However, the scale of misinformation limits their ability for verification. In this demonstration, we propose BRENDA a browser extension which can be used to automate the entire process of credibility assessments of false claims. Behind the scenes BRENDA uses a tested deep neural network architecture to automatically identify fact check worthy claims and classifies as well as presents the result along with evidence to the user. Since BRENDA is a browser extension, it facilities fast automated fact checking for the end user without having to leave the Webpage.},
note = {Pre SFI},
keywords = {Fake news detection, Hierarchical attention, Neural networks, WP3: Media Content Production and Analysis},
pubstate = {published},
tppubtype = {article}
}