How A Simple Computer Code Python Helps Study Terrorism and Prevent Spread of Radical Islamist Ideology

By New Age Islam Special Correspondent

23 January 2026

Python is a simple computer language that helps people work with information. It is written in a style that resembles everyday English, making it accessible to even beginners. You do not need to be a computer expert to read Python code. Due to this, Python is utilised in schools, universities, newspapers, and research institutes worldwide. People use it to read documents, count words, make tables, and draw simple charts.

In anti-terrorism research, there is a huge amount of information—news reports, court judgements, online articles, and public social media posts. Reading all of this by hand is very difficult. Python helps researchers collect this information in one place and organise it properly. It can show which words are repeated often, which ideas are becoming stronger, and how extremist language changes over time. This makes research more accurate and less based on guesswork. Python does not fight terrorism with force. It fights it with understanding. It helps researchers, journalists, and policymakers see how dangerous ideas grow and spread—early, calmly, and clearly.

When used ethically, Python strengthens democracy by supporting prevention, fairness, and evidence-based policy. It helps societies respond to radical Islamist ideology without becoming unjust or authoritarian.

Major points:

Python is a simple computer language that helps people work with information. It is written in a style that resembles everyday English, making it accessible to even beginners.

Terrorism today does not begin with bombs or guns. It usually begins with ideas. These ideas spread through speeches, pamphlets, videos, social media posts, websites, and online sermons. Radical Islamist groups use the internet to repeat the same messages again and again until they feel normal and unquestionable.

For researchers and journalists, the problem is no longer a lack of information. The problem is too much information. Thousands of texts are produced every day. No human being can read everything carefully.

Python is useful here because it helps people organise, read, and compare large amounts of text. It does not decide who is dangerous. It does not arrest anyone. It only helps us see patterns more clearly.

Terrorism today does not begin with bombs or guns. It usually begins with ideas. These ideas spread through speeches, pamphlets, videos, social media posts, websites, and online sermons. Radical Islamist groups use the internet to repeat the same messages again and again until they feel normal and unquestionable.

For researchers and journalists, the problem is no longer a lack of information. The problem is too much information. Thousands of texts are produced every day. No human being can read everything carefully.

Python is useful here because it helps people organise, read, and compare large amounts of text. It does not decide who is dangerous. It does not arrest anyone. It only helps us see patterns more clearly.

What Python is and how Python helps in anti-terrorism research

Python is a simple computer language that helps people work with information. It is written in a style that resembles everyday English, making it accessible to even beginners. You do not need to be a computer expert to read Python code. Due to this, Python is utilised in schools, universities, newspapers, and research institutes worldwide. People use it to read documents, count words, make tables, and draw simple charts.

In anti-terrorism research, there is a huge amount of information—news reports, court judgements, online articles, and public social media posts. Reading all of this by hand is very difficult. Python helps researchers collect this information in one place and organise it properly. It can show which words are repeated often, which ideas are becoming stronger, and how extremist language changes over time. This makes research more accurate and less based on guesswork.

Python is useful not only for studying terrorism after violence happens but also for prevention. By noticing early signs like growing anger, extreme language, or repeated hate messages, researchers and policymakers can act before things become dangerous. Python helps check whether education programmes, counter-messages, or awareness campaigns are working or not. Used carefully and ethically, Python supports peaceful prevention and helps societies respond to extremist ideas with knowledge, fairness, and calm thinking instead of fear.

Radicalisation Happens Slowly, Through Language

Most people who later support extremist violence does not start there. They usually pass through stages. First, they are told that Muslims everywhere are victims. Then they are told that society is divided between “true believers” and “enemies”. Later, democratic laws are described as fake or corrupt. Finally, violence is presented as a religious duty.

All of this happens through words.

Python allows researchers to study how these words change over time. Instead of reading only a few quotes, researchers can study hundreds of texts together.

Here is a very simple example of reading a text file using Python:

with open("text.txt", "r", encoding="utf-8") as file:

    text = file.read()

print(text[:300])

This code simply opens a text file and shows the first few lines. It turns scattered material into something that can be studied carefully.

Using Only Ethical and Public Data

Python must be used responsibly. Ethical terrorism research uses only:

Public court judgments

Public speeches and writings

Open websites

Public social media posts

Government and NGO reports

Python should never be used to spy on private messages or personal data. It works like a digital notebook, not a surveillance tool.

For example, downloading a public article for study looks like this:

import requests

url = "https://example.org/public_article"

response = requests.get(url)

text = response.text

print("Article collected for research")

This is similar to saving a newspaper article to read later.

Finding Repeated Ideological Words

Radical Islamist groups often repeat the same words again and again. These words are not dangerous by themselves, but constant repetition can show rigid thinking.

Python can help count how often such words appear.

keywords = ["khilafah", "takfir", "apostate"]

text = text.lower()

for word in keywords:

print(word, text.count(word))

This helps researchers understand which ideas dominate a text. It does not judge belief. It only shows focus and obsession.

Seeing Change Over Time

Extremist language changes depending on events like elections, wars, or court decisions. Python helps compare texts from different years.

old_text = open("2016.txt").read().lower()

new_text = open("2022.txt").read().lower()

print("Violence in 2016:", old_text.count("violence"))

print("Violence in 2022:", new_text.count("violence"))

If violent language increases, researchers can raise early warnings and suggest peaceful interventions.

Studying Anger and Emotional Language

Radical propaganda uses anger to push people toward extreme positions. Words like “enemy,” “traitor,” and “evil” are used to destroy empathy.

Python can help measure how angry a text sounds.

anger_words = ["enemy", "traitor", "evil"]

anger_score = 0

for word in anger_words:

anger_score += text.count(word)

print("Anger score:", anger_score)

A rising anger score does not mean violence will happen, but it shows emotional hardening, which is important for prevention.

Letting the Text Speak for Itself

Instead of deciding in advance what extremists talk about, Python can show what topics appear most often.

from collections import Counter

words = text.split()

common = Counter(words).most_common(10)

for word, count in common:

print(word, count)

Researchers often find that radical Islamist texts focus heavily on fear, control, gender, purity, and conspiracy. This helps design better education and counter-narratives.

Understanding How Extremist Ideas Spread

Ideas spread through networks. A few influential preachers or online channels often repeat messages that many others share.

Python can map such connections simply.

import networkx as nx

G = nx.Graph()

G.add_edge("Speaker1", "ChannelA")

G.add_edge("ChannelA", "ChannelB")

print(G.nodes())

This helps researchers focus on ideas and influence, not entire communities.

Helping Investigations, Not Replacing Law

In terrorism investigations, Python helps organise documents and compare texts. For example, investigators may want to know if two documents are very similar.

from difflib import SequenceMatcher

similarity = SequenceMatcher(None, text1, text2).ratio()

print ("Similarity:", similarity)

This supports human investigation. It does not decide guilt.

Prevention Is Better Than Punishment

Harsh reactions often increase radicalisation. Python helps prevention by showing:

What messages work

What messages fail

When extremist language increases

When peaceful narratives reduce engagement

For example, comparing language before and after an awareness programme:

before = open("before.txt").read().lower()

after = open("after.txt").read().lower()

print ("Before:", before.count("hate"))

print ("After:", after.count("hate"))

This helps governments and NGOs improve their strategies.

Clear Ethical Limits

Python must never be used to:

Target entire religious groups

Predict individual behaviour

Replace courts and due process

Radical Islamism is an ideology, not a religion and not a community. Python should help reduce bias, not increase it.

Conclusion: Python as a Tool for Understanding, Not Fear

Python does not fight terrorism with force. It fights it with understanding. It helps researchers, journalists, and policymakers see how dangerous ideas grow and spread—early, calmly, and clearly.

When used ethically, Python strengthens democracy by supporting prevention, fairness, and evidence-based policy. It helps societies respond to radical Islamist ideology without becoming unjust or authoritarian.

That is its real value.

URL: https://newageislam.com/radical-islamism-jihad/computer-code-python-helps-/d/138559

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