Building an Automated Fact-Checker with Web Scraping

Misinformation is everywhere. In this guide, we'll build a Python-based fact-checker that scrapes multiple sources to verify claims automatically. How Automated Fact-Checking Works Our fact-checker will: Parse a claim into searchable components Search multiple authoritative sources Compare findings against the claim Return a confidence score Setting Up pip install requests beautifulsoup4 newspaper3k Step 1: Query Builder import re from typing import List class QueryBuilder : STOP_WORDS = { " the " , " a " , " an " , " is " , " are " , " was " , " were " , " be " , " been " , " have " , " has " , " had " , " do " , " does " , " did " , " will " , " would " , " could " , " should " , " that " , " this " , " what " , " which " , " who " } def build_queries ( self , claim : str ) -> List [ str ]: words = re . findall ( r ' \b[a-zA-Z]+\b ' , claim . lower ()) keywords = [ w for w in words if w not in self . STOP_WORDS and len ( w ) > 2 ] return [ " " . join ( keywords ), " " . join ( keywor