Scanning the web to detect disinformation
During the past few years, the world has experienced a significant number of crises. As a result, fake news and propaganda are at an all time high – to sway the public opinion, malicious actors promote fear mongering, push their narratives, and pry on people’s insecurities.
Plus, disinformation tactics are getting more advanced, and it may be difficult for an untrained eye to distinguish what’s real from what isn’t. Luckily, we have fake news mitigators using web scraping technology to scan the web and detect lies.
Web scraping explained
Web scraping is the process of automatically collecting web data. The technology is used in various industries by both individual users and businesses. Here’s a breakdown of how web scraping is used to fight fake news and propaganda:
The need
Disinformation mitigators need to detect where online lies are being spread.
The challenge
To take action in a timely manner, these organizations need real-time information.
The solution
With web scraping solutions, disinformation mitigators receive real-time data for fact-checking.
The outcome
Once these organizations detect false information being spread, they can take further actions to fight it.
Other use cases
Web scraping and big data are integral parts of technologies we use every day. Apart from being used to combat disinformation, web scraping has more important areas of application:
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