Quran Content Analysis
Posted: Sat Nov 01, 2025 4:53 am
Here is an exercise to discover one significant truth of the ideology of Islam which has never mentioned by any researcher before.
Download the following Quran text file for AI
https://tanzil.net/trans/en.pickthall
Use one a few AIs to avoid biasness.
Attached the Quran text file to the chat.
Input the following prompt.
..................
You are conducting a forensic content audit of the Quran, 6236 verses, treating it as a thematic microcosm of the full Quran (per traditional Islamic exegesis). Focus exclusively on the ideological structure: identify and classify pronouns and agentive entities to map the "Us vs. Them" dichotomy, which drives in-group cohesion and out-group positioning in doctrinal systems.
Use the attached Quran text file (Pickthall translation) for analysis. Perform the following steps sequentially, outputting results in a structured table for clarity. Base classifications on explicit textual references only—no external historical, cultural, or interpretive context. Treat the verse (ayah) as the unit of analysis; if a verse contains multiple elements, tag it holistically but note sub-elements.
Step 1: Identify all explicit pronouns (e.g., We, I, He, you, they) and agentive entities (named or described actors with agency, e.g., Allah, believers, disbelievers).
Step 2: Classify each as:
- "Us" items: Pronouns/entities aligned with the divine/in-group covenant (Allah/God; Messengers/Prophets including Muhammad; Believers/Muslims; Muslim angels/jinn; righteous ancestors).
- "Them" items: Pronouns/entities positioned as oppositional/out-group (Disbelievers/kafirs; polytheists/mushrikin; Satan/Shaytan/Iblis; Jews/Bani Isra'il in oppositional roles; Christians/Nasara in oppositional roles; hypocrites/munafiqun; non-Muslims/pharaohs/oppressors as archetypes).
Step 3: For each verse:
- Flag if it contains any "Us" item (Y/N).
- Flag if it contains any "Them" item (Y/N).
- Compute: Total verses with Us or Them (any overlap counts once); % over 6236 verses.
Step 4: Sub-analyze "Them"-focused verses for tone:
- Antagonistic/dehumanizing: Explicit condemnation, threats, curses, or moral exclusion (e.g., "cursed," "enemies of Allah," "apes/transformed," calls to fight/subdue).
- Neutral: Factual mention without judgment (e.g., descriptive narratives, invitations to belief without penalty).
- Compute: % of total verses (6236) for each tone in Them contexts.
Step 5: Specific counts:
- Verses with Allah pronouns (We/I/He/Him explicitly tied to God via context).
- Verses where Allah (as speaker) directly condemns "Them" items (e.g., divine warnings/judgments).
- Verses with fully neutral tone overall (no Us/Them; purely descriptive/exhortative without division).
Output Format:
- Summary Table: Rows for Steps 3-5; columns for Counts, % of 6236, Example Verses (3-5 per category).
- Brief Ideological Inference (1-2 paragraphs): Based solely on the counts, discuss how the dominance of Us/Them (e.g., if >80%) structurally embeds Tribalism (in-group favoritism/out-group antagonism) as a core doctrinal mechanic, per social identity theory (Tajfel & Turner, 1979). How this binary fosters perpetual ideological based harms.
Do not include methodological critiques, comparisons to other texts, or causal claims about real-world behavior—focus on textual evidence only.
....................... [End Prompt]
You may request your AI to comment whatever after the results are generated.
Discuss?
Views?
Download the following Quran text file for AI
https://tanzil.net/trans/en.pickthall
Use one a few AIs to avoid biasness.
Attached the Quran text file to the chat.
Input the following prompt.
..................
You are conducting a forensic content audit of the Quran, 6236 verses, treating it as a thematic microcosm of the full Quran (per traditional Islamic exegesis). Focus exclusively on the ideological structure: identify and classify pronouns and agentive entities to map the "Us vs. Them" dichotomy, which drives in-group cohesion and out-group positioning in doctrinal systems.
Use the attached Quran text file (Pickthall translation) for analysis. Perform the following steps sequentially, outputting results in a structured table for clarity. Base classifications on explicit textual references only—no external historical, cultural, or interpretive context. Treat the verse (ayah) as the unit of analysis; if a verse contains multiple elements, tag it holistically but note sub-elements.
Step 1: Identify all explicit pronouns (e.g., We, I, He, you, they) and agentive entities (named or described actors with agency, e.g., Allah, believers, disbelievers).
Step 2: Classify each as:
- "Us" items: Pronouns/entities aligned with the divine/in-group covenant (Allah/God; Messengers/Prophets including Muhammad; Believers/Muslims; Muslim angels/jinn; righteous ancestors).
- "Them" items: Pronouns/entities positioned as oppositional/out-group (Disbelievers/kafirs; polytheists/mushrikin; Satan/Shaytan/Iblis; Jews/Bani Isra'il in oppositional roles; Christians/Nasara in oppositional roles; hypocrites/munafiqun; non-Muslims/pharaohs/oppressors as archetypes).
Step 3: For each verse:
- Flag if it contains any "Us" item (Y/N).
- Flag if it contains any "Them" item (Y/N).
- Compute: Total verses with Us or Them (any overlap counts once); % over 6236 verses.
Step 4: Sub-analyze "Them"-focused verses for tone:
- Antagonistic/dehumanizing: Explicit condemnation, threats, curses, or moral exclusion (e.g., "cursed," "enemies of Allah," "apes/transformed," calls to fight/subdue).
- Neutral: Factual mention without judgment (e.g., descriptive narratives, invitations to belief without penalty).
- Compute: % of total verses (6236) for each tone in Them contexts.
Step 5: Specific counts:
- Verses with Allah pronouns (We/I/He/Him explicitly tied to God via context).
- Verses where Allah (as speaker) directly condemns "Them" items (e.g., divine warnings/judgments).
- Verses with fully neutral tone overall (no Us/Them; purely descriptive/exhortative without division).
Output Format:
- Summary Table: Rows for Steps 3-5; columns for Counts, % of 6236, Example Verses (3-5 per category).
- Brief Ideological Inference (1-2 paragraphs): Based solely on the counts, discuss how the dominance of Us/Them (e.g., if >80%) structurally embeds Tribalism (in-group favoritism/out-group antagonism) as a core doctrinal mechanic, per social identity theory (Tajfel & Turner, 1979). How this binary fosters perpetual ideological based harms.
Do not include methodological critiques, comparisons to other texts, or causal claims about real-world behavior—focus on textual evidence only.
....................... [End Prompt]
You may request your AI to comment whatever after the results are generated.
Discuss?
Views?