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Local Chapter project

Fake News Detector in LATAM

NLPSentiment AnalysisWeb scrapingData VisualizationUnsupervised LearningData AnalysisTopic Modeling
Start date
February 6, 2022
Finish date
April 10, 2022
Project status
completed
Fake News Detector in LATAM

The problem

Once the capacity to somewhat detect irregularities in news activity on the internet is developed, we might be able to counter the disinformation with the help of additional research. As we reduce the time spent in looking for those occurrences, more time can be used in validating the results and uncovering the truth; enabling researchers, journalists, and organizations to help people make an informed decision about whether the public opinion is true or not so that they can identify on their own if someone is trying to manipulate them for a certain political benefit. If this matter isn’t tackled with enough urgency, we might see the rise of a new dark era in Latin-America politics, where many unscrupulous parties and people will manage to gain power and control the lives of many people. Therefore, the results of the project can provide support for both private and public companies in their future analysis and activities. Additionally, researchers and students could use the outcomes for their own research or use it for learning purposes.

Goal of the project

  • To gather and clean datasets from different newspapers and new outlets in LATAM.
  • To predict if there is a political affiliation in a certain topic on the news.
  • To compare and determine if there is any irregularity between the. information available respecting specific news in the different news sources.
  • To understand and visualize the information patterns from the news by creating a visualization dashboard.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.