Datathon – HackNews – Solution – Dream_Invaders

Posted Leave a commentPosted in Datathons Solutions

Due to the extreme divergence of social discussions happening in the political space, rumours and fake news becoming inferno which is difficult for anyone who reads to differentiate it from the truth.
What we are going to achieve?
To detect the propagandas at article level, sentence level and recognizing its type.
Using supervised machine learning technique, model shall be created to identify and flag the false news propaganda.

Datathon – HackNews – Solution – LAMAs

Posted 10 CommentsPosted in Datathons Solutions

Business Understanding We are developing machine learning based natural language processing tools to identify propaganda related information in news articles in the scope of Hack the News Datathon. The task is divided into three tasks that are news article classification, sentence classification, and token level information extraction. The project is open source and any collaborative effort is […]

Datathon – HackNews – Solution – DataExploiters

Posted 5 CommentsPosted in Datathons Solutions

This article describes our submission for the Hack the News Datathon 2019 which focuses on Task 2, Propaganda sentence classification. It outlines our exploratory data analysis, methodology and future work. Our work revolves around the BERT model as we believe it offers an excellent language model that’s also good at attending to context which is an important aspect of propaganda detection.

Stochastic Processes and Applications

Posted 2 CommentsPosted in Probabilities

This notebook is a basic introduction into Stochastic Processes. It is meant for the general reader that is not very math savvy, like the course participants in the Math Concepts for Developers in SoftUni.
There is a basic definition. Some examples of the most popular types of processes like Random Walk, Brownian Motion or Weiner Process, Poisson Process and Markov chains have been given. Their basic characteristics and examples for some possible applications are stated. For all the examples there are simulations in Python, some are visualized.
The following packages have been used:

nympy
matplotlib.pyplot
random
scipy.stats
itertools
matplotlib.patches

Datathon – HackNews – Solution – data_monks

Posted 6 CommentsPosted in Datathons Solutions

The word propaganda is defined as designating any attempt to influence the opinions or actions of others to some predetermined end by appealing to their emotions or prejudices or by distorting the facts. We are fooled by propaganda chiefly because they appeal to our emotions rather than to our reason. They make us believe and do something we would not believe or do. And since it appeal more to our emotions; we often don’t recognize it when we see it.
The current political landscape is shaped by extreme polarization of opinions and by the proliferation of fake news.
Studies and surveys has found that rumour’s and fake news tend to spread six times faster than truthful information. This situation both damages the reputation of respectable news outlets and it also undermines the very foundations of democracy, which needs free and reliable press to thrive. Therefore, it is in the interest of the public as well as of the news organizations to be able to detect and fight disinformation in all its forms.
Here, we are trying to create a tool that can help identify propagandistic articles with the help of Predictive Analytics.
The main objectives are:
(i) to flag the article as a whole
(ii) to detect the potentially propagandistic sentences in a news article
(iii) to identify the exact type and span of use of propagandistic techniques

Detecting propaganda on sentence level

Posted 13 CommentsPosted in Datathons Solutions

Detecting Propaganda on Sentence Level Team Astea Wombats Team members mkraeva, backslash, givanov, jorro, apetkov, fire Code Repository Source Code: hack-the-news-master The code repository structure is described in its README.md file. To summarize, it contains all our models, feature transformer functions and our own pipeline for training, testing and validating our models. Introduction The issue of propaganda is […]

Datathon – HackNews – Solution – PIG (Propaganda Identification Group)

Posted 9 CommentsPosted in Datathons Solutions

@Mentors: preslav @preslav alberto @alberto giovanni @giovanni laura @laura vsenderov @vsenderov   Team Members (datachat user name) Thomas Arnold (thomasarnold) Gisela Vallejo (gvallejo) Yang Gao (yg211) Tilman Beck (tbtuda) Nils Reimers (reimers) Jonas Pfeiffer (jopfeiff) Toolset: Keras – Github Pytorch – Site ScikitLearn – Site Flair – Paper Github BERT – Paper Github Stanford Politeness API: Github […]

Datathon-HackNews-Solutions-Data Titans

Posted 4 CommentsPosted in Datathons Solutions

  Team Name : Data Titans Team Members : M.HEMANTH KUMAR, A.PAVAN SHANKAR, B.MANOHAR, V. LITHIN CHOWDARY,  E.V.S.SAI RAM PROBLEM STATEMENT : Hack the news whether it is propaganda or Non-Propaganda INTRODUCTION: Propaganda is a view which can mislead us to certain false assumptions, So here we got a chance to Identify the Propaganda in the […]