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Term project for ATLS 4214/5214 - tackling misinformation on Twitter with big data analytics

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Tackling Misinformation with Big Data

A project by Team Swashbucklers for ATLS 5214 @ CU Boulder

Introduction

This project aims to highlight the spread of misinformation through social media by using Map and graph-based visualizations to gain insight into how misinformation spreads across the internet. We shall be using Twitter to conduct our experiments.

How it works

Our aim is to track the spread of false news and hoaxes by using fact-checking websites such as Snopes, PolitiFact and FactCheck.

RoadMap

  • Get Factchecking Links from Websites(Snopes for now)
  • Get list of corresponding tweets from Twitter(Using GNIP).
  • Map visualization to show the distributions of the hoax
  • Time series visualization to show timeline of the spread of the hoax
  • Graph visualization to show how Hoax spreads across news.

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Term project for ATLS 4214/5214 - tackling misinformation on Twitter with big data analytics

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  • Python 98.2%
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