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TheSaintIndiano/Fake-News-Detection

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Introduction

Determine the authenticity of an article.

Objective

Classify an article into Fake or True News category depending only upon article text data.

Binary Classes

  1. Fake (0)
  2. True (1)

Description

Fake news is a type of yellow journalism or propaganda that consists of deliberate disinformation or hoaxes spread via traditional print and broadcast news media or online social media.

The false information is then often reverberated as misinformation in social media, but occasionally finds its way to the mainstream media as well. Fake news is written and published with the intent to mislead in order to damage an agency, entity, or person, and/or gain financially or politically, often using sensationalist, dishonest, or outright fabricated headlines to increase readership, online sharing, and Internet click revenue.

In the latter case, it is similar to sensational online "clickbait" headlines and relies on advertising revenue generated from this activity, regardless of the veracity of the published stories. Intentionally misleading and deceptive fake news differs from obvious satire or parody, which is intended to amuse rather than mislead its audience.

Fake News Wiki

Citation

A Quick Guide to Fake News Detection on Social Media

SpaCy now speaks German

Towards German Word Embeddings: A Use Case with Predictive Sentiment Analysis

German Word Embeddings

Detecting Fake News