Propaganda is the new weapon which influences people opinions or believes at certain ideology whether that ideology is right or wrong.
Ask yourself – do you know whether today’s news is really true or making you believe something fake unconsciously?
The propaganda identification tool which is to be developed at the upcoming Datathon will help to fight the manipulation spread in news and test hypothesis such as which news sources are biased and propagandistic.
The good cause needs a good stimulus – Let’s raise a bigger crowdfunded award for those who will develop the tool for fighting propaganda! You can support the cause and book your ticket here!
Propaganda is defined as spreading of ideas, facts, or allegations deliberately to influence opinions of the audience with reference to predetermined ends. This case is focused on detecting the use of propaganda, in news articles.
Two training sets of news articles written in English are provided. One is annotated at the article level whether it is propagandistic or not. The other one is annotated at the fragment level with one out of 18 propaganda techniques (or no technique).
The purpose of the Hackathon is to develop intelligent systems using the data training sets provided that are able to classify entire articles as well as text fragments as propagandistic or not.
A publicly available leaderboard will rank the solutions of the participants in real time, as measured on a validation set. The final evaluation will be on a separate test set, on which no feedback will be provided until the end of the competition.
The Data Science Hackathon is open for the global community to participate from all around the world virtually.
If you want to become a local host of the Datathon, please refer to the Datathon Host Guidelines
To be soon updated at the Hack the News detailed page
End of Registration
In order to purchase a ticket, you need to register first. Keep in mind that the registration ends on January 20th!
If you want to make a contribution to the crowdfunded award, you can do this at bit.ly/HackNews2019. Thank you!