DeepAI
Log In Sign Up

An Automated News Bias Classifier Using Caenorhabditis Elegans Inspired Recursive Feedback Network Architecture

07/26/2022
by   Agastya Sridharan, et al.
0

Traditional approaches to classify the political bias of news articles have failed to generate accurate, generalizable results. Existing networks premised on CNNs and DNNs lack a model to identify and extrapolate subtle indicators of bias like word choice, context, and presentation. In this paper, we propose a network architecture that achieves human-level accuracy in assigning bias classifications to articles. The underlying model is based on a novel Mesh Neural Network (MNN),this structure enables feedback and feedforward synaptic connections between any two neurons in the mesh. The MNN ontains six network configurations that utilize Bernoulli based random sampling, pre-trained DNNs, and a network modelled after the C. Elegans nematode. The model is trained on over ten-thousand articles scraped from AllSides.com which are labelled to indicate political bias. The parameters of the network are then evolved using a genetic algorithm suited to the feedback neural structure. Finally, the best performing model is applied to five popular news sources in the United States over a fifty-day trial to quantify political biases in the articles they display. We hope our project can spur research into biological solutions for NLP tasks and provide accurate tools for citizens to understand subtle biases in the articles they consume.

READ FULL TEXT

page 1

page 2

page 3

page 4

10/07/2022

Quantifying Political Bias in News Articles

Search bias analysis is getting more attention in recent years since sea...
11/07/2022

No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media

News articles both shape and reflect public opinion across the political...
10/11/2020

We Can Detect Your Bias: Predicting the Political Ideology of News Articles

We explore the task of predicting the leading political ideology or bias...
12/26/2021

An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles

Media coverage has a substantial effect on the public perception of even...
06/04/2020

NewB: 200,000+ Sentences for Political Bias Detection

We present the Newspaper Bias Dataset (NewB), a text corpus of more than...
07/29/2021

Why Do Polls Fail? The Case of Four US Presidential Elections, Brexit, and Two India General Elections

One of the most widely known and important applications of probability a...
10/27/2022

Quotatives Indicate Decline in Objectivity in U.S. Political News

According to journalistic standards, direct quotes should be attributed ...