Chatbots Push Russian Propaganda

# Let's visit the ISD article directly to get more detailed information isd_article_url = "https://www.isdglobal.org/digital_dispatches/talking-points-when-chatbots-surface-russian-state-media/" isd_article_content = enhanced_visit_webpage(url=isd_article_url, timeout=30) print(f"ISD article content length: {len(isd_article_content)}")


# Let's also visit the original WIRED article to get more context

wired_article_content = enhanced_visit_webpage(url="https://www.wired.com/story/chatbots-are-pushing-sanctioned-russian-propaganda/", timeout=30)

print(f"WIRED article content length: {len(wired_article_content)}")
# Look for specific statistics in the ISD article

import re

statistics = re.findall(r'(\d+)[\s\-]*(?:percent|%|per cent)', isd_article_content, re.IGNORECASE)

print(f"Statistics found in ISD article: {statistics}")
# Look for methodology details

methodology_keywords = ["method", "methodology", "tested", "survey", "analysis", "approach", "experiment"]

for keyword in methodology_keywords:

    if keyword in isd_article_content.lower():

        start = max(0, isd_article_content.lower().find(keyword) - 100)

        end = min(len(isd_article_content), isd_article_content.lower().find(keyword) + 300)

        print(f"Methodology context around '{keyword}': {isd_article_content[start:end]}")

        print("---")

# Look for specific examples of propaganda propaganda_examples = [] quote_patterns = [r'[""](.*?)[""]', r"'(.*?)'"] for pattern in quote_patterns: matches = re.findall(pattern, isd_article_content) for match in matches: if len(match) > 50 and len(match) < 300: # Reasonable quote length propaganda_examples.append(match) print(f"Found {len(propaganda_examples)} potential propaganda examples in ISD article") # Look for company responses in the WIRED article company_response_keywords = ["openai", "google", "deepseek", "grok", "xaI", "elon musk"] for keyword in company_response_keywords: if keyword.lower() in wired_article_content.lower(): start = max(0, wired_article_content.lower().find(keyword.lower()) - 100) end = min(len(wired_article_content), wired_article_content.lower().find(keyword.lower()) + 300) print(f"Company response context for '{keyword}': {wired_article_content[start:end]}") print("---") # Look for images in both articles isd_images = re.findall(r']*src=["\']([^"\']*)["\'][^>]*>', isd_article_content) wired_images = re.findall(r']*src=["\']([^"\']*)["\'][^>]*>', wired_article_content) print(f"Images found in ISD article: {isd_images}") print(f"Images found in WIRED article: {wired_images}")

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