Fact Check: Nationalism is a positive force in the world.

Status: True

Assertion

Nationalism is a positive force in the world.

Results

Nationalism as an ideology emphasizing loyalty and devotion to one’s country can indeed be at the expense of other nations or global cooperation if pursued excessively. This has been historically evident in various conflicts where nationalist fervor led to aggression against others, showcasing how extreme forms of nationalism can disrupt international relations: The historical examples include events like World War I and II which were fueled by intense nationalistic feelings among countries leading to widespread conflict.

– True: The term “extremes” accurately implies a high level of intensity and the potential for negative outcomes associated with nationalist sentiments. When taken to extremes, nationalism can lead to hostility, xenophobia, and even violence against those perceived as not belonging or being ‘other’: Extreme cases include instances like ethnic cleansing during the Bosnian War where intense nationalistic ideologies led to atrocities.

– True: Exclusionary practices are indeed a consequence of extreme nationalistic ideologies that discriminate based on an individual’s connection (or lack thereof) with a specific nation, ethnicity, or culture

Assumptions

– Nationalism is an ideology that emphasizes loyalty, devotion, or allegiance to one’s nation or country, often at the expense of other nations or global cooperation.
– The term “extremes” implies a level of intensity and potential negative outcomes associated with nationalist sentiments.
– Exclusionary practices refer to actions that discriminate against individuals based on their perceived lack of belonging to a specific nation, ethnic group, or culture.
– Conflict arises when nationalistic ideologies lead to tensions between nations or groups due to competing interests, power struggles, and territorial disputes.
– Negative consequences for international relations refer to the potential harm caused by heightened nationalism on diplomatic relationships, global cooperation, trade partnerships, cultural exchange, and peace efforts.
– The statement suggests a balanced view that recognizes both positive aspects of nationalism (such as fostering pride and unity within a nation) and its potential negative effects when taken to extremes.

Fact Checker Output

<|assistant|> – True: Nationalism as an ideology emphasizing loyalty and devotion to one’s country can indeed be at the expense of other nations or global cooperation if pursued excessively. This has been historically evident in various conflicts where nationalist fervor led to aggression against others, showcasing how extreme forms of nationalism can disrupt international relations.

– True: The term “extremes” accurately implies a high level of intensity and the potential for negative outcomes associated with nationalist sentiments. When taken to extremes, nationalism can lead to hostility, xenophobia, and even violence against those perceived as not belonging or being ‘other’.

– True: Exclusionary practices are indeed a consequence of extreme nationalistic ideologies that discriminate based on an individual’s connection (or lack thereof) with a specific nation, ethnicity, or culture. Such exclusion can manifest in policies and attitudes that marginalize minorities and immigrants within the context of purported national interest.

– True: Conflict is a natural consequence when extreme nationalism leads to tensions between nations or groups due to competing interests, power

Model Used

microsoft/Phi-3-mini-4k-instruct-gguf

Script Name

fact_checker_mongodb.py

Script Code

import os
import sys
import requests
from langchain_openai.llms import OpenAI
from langchain.prompts import PromptTemplate
from dotenv import load_dotenv
from statements import get_random_statement
from mongodb_helper import insert_record  # Import MongoDB helper functions
import html

# Load environment variables from .env file
load_dotenv()

# Define category IDs
CATEGORY_IDS = {
    "True": 2,
    "False": 3,
    "Debatable": 4,
    "Unknown": 6
}

def create_wordpress_post(title, content, category):
    data = {
        "title": title,
        "content": content,
        "status": "publish",
        "categories": [CATEGORY_IDS[category]]
    }

    response = requests.post(
        os.getenv("WORDPRESS_POSTS_URL"),
        json=data,
        auth=(os.getenv("WORDPRESS_USERNAME"), os.getenv("WORDPRESS_PASSWORD"))
    )

    if response.status_code == 201:
        print("Blog post created successfully.")
    else:
        print(f"Failed to create blog post: {response.status_code} - {response.text}")

def fact_check(assertion):
    llm = OpenAI(temperature=0.7, model=os.getenv("MODEL_NAME"))

    # Define the prompt templates
    assertion_template = """{assertion}\n\n"""
    assertion_prompt = PromptTemplate(input_variables=["assertion"], template=assertion_template)
    
    assumptions_template = """Here is a statement:
    {statement}
    Make a bullet point list of the assumptions required to support the above statement.\n\n"""
    assumptions_prompt = PromptTemplate(input_variables=["statement"], template=assumptions_template)
    
    fact_checker_template = """Here is a bullet point list of assertions:
    {assertions}
    For each assumption, determine whether it is true or false. Explain your reasoning.\n\n"""
    fact_checker_prompt = PromptTemplate(input_variables=["assertions"], template=fact_checker_template)
    
    answer_template = """
    Here is the information to classify the statement:
    {facts}

    Based on the above information, how would you classify the statement? Respond with one of the following options followed by a colon and space:
    - True: [Explanation]
    - False: [Explanation]
    - Debatable: [Explanation]
    """
    answer_prompt = PromptTemplate(input_variables=["facts"], template=answer_template)
    
    # Format prompts and extract the string content
    formatted_assertion = assertion_prompt.format_prompt(assertion=assertion).text
    assertion_output = llm.invoke(formatted_assertion)
    
    formatted_assumptions = assumptions_prompt.format_prompt(statement=assertion_output).text
    assumptions_output = llm.invoke(formatted_assumptions)
    
    formatted_fact_checker = fact_checker_prompt.format_prompt(assertions=assumptions_output).text
    fact_checker_output = llm.invoke(formatted_fact_checker)
    
    formatted_answer = answer_prompt.format_prompt(facts=fact_checker_output).text
    final_output = llm.invoke(formatted_answer)
    
    return {
        "assertion_output": assertion_output,
        "assumptions_output": assumptions_output,
        "fact_checker_output": fact_checker_output,
        "final_output": final_output,
    }

def extract_status_and_reasoning(final_output):
    final_output = final_output.strip()
    if "True:" in final_output:
        status_start = final_output.find("True:")
        status = "True"
    elif "False:" in final_output:
        status_start = final_output.find("False:")
        status = "False"
    elif "Debatable:" in final_output:
        status_start = final_output.find("Debatable:")
        status = "Debatable"
    else:
        return "Unknown", final_output

    reasoning = final_output[status_start + len(status) + 1:].strip()
    return status, reasoning

if __name__ == "__main__":
    if len(sys.argv) > 1:
        assertion = sys.argv[1]
    else:
        assertion = get_random_statement()
    
    print(assertion)
    submission = fact_check(assertion)
    
    # Print the detailed outputs to inspect their structure
    for key, value in submission.items():
        print(f"{key}: {value}")
    
    # Extract the final output for status determination and reasoning
    final_output = submission['final_output']
    status, reasoning = extract_status_and_reasoning(final_output)
    
    # Record the result in MongoDB
    try:
        print("Attempting to insert record into MongoDB...")
        insert_record(
            script_name="fact_checker_mongodb.py",
            script_code=html.escape(open(__file__).read()),
            assertion=assertion,
            status=status,
            submission=submission,  # Store the entire submission for detailed analysis
            model=os.getenv("MODEL_NAME")
        )
        print("Record inserted into MongoDB successfully.")
    except Exception as e:
        print(f"Failed to insert record into MongoDB: {e}")
    
    print(final_output)
    
    # Create a blog post on WordPress
    blog_title = f"Fact Check: {assertion}"
    blog_content = f"""
    <h1>Status: {status}</h1>
    <h2>Assertion</h2>
    <p>{assertion}</p>
    <h2>Results</h2>
    <p>{reasoning}</p>
    <h3>Assumptions</h3>
    <p>{submission['assumptions_output']}</p>
    <h3>Fact Checker Output</h3>
    <p>{submission['fact_checker_output']}</p>
    <h4>Model Used</h4>
    <p>{os.getenv("MODEL_NAME")}</p>
    <h4>Script Name</h4>
    <p>fact_checker_mongodb.py</p>
    <h4>Script Code</h4>
    <pre>{html.escape(open(__file__).read())}</pre>
    """
    create_wordpress_post(blog_title, blog_content, status)

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