Discursa -- Arabic Intelligence

Image Tracking Analysis Report

the DW Jafar Talk channel
Image TrackingFull Tier
Generated 01 March 2026 · 3,968 items analysed
Contents
01
Executive Summary
The conversation in brief -- what is happening and why it matters.

This report analyses 3,968 items (3,868 comments and 100 posts) collected from YouTube.

the DW Jafar Talk channel · 01 March 2026 · 2026-02-16 → 2026-03-01 · 3,968 items (3,868 comments · 100 posts) ·youtube
What this report answers
How does this audience feel about the DW Jafar Talk channel?
Negative leads at 45%, against 28% neutral.
Are they for it or against it?
22% of all items are ANTI and 15% PRO, so opposition leads among those who took a side.
How are they arguing about it?
Most often through a Moral Condemnation frame, in 30% of items.
Who is doing the talking?
Mostly the MSA speech community, 40% of items. A variety is not a location.
Is any of this manufactured?
The scanner counted 2 of the indicators it looks for (rating: MEDIUM). That is a prompt to read the flagged items, not a finding.
Every figure here is repeated, with its base, in the section it comes from. 3,968 items analysed.
Negative sentiment leads toward the DW Jafar Talk channel at 45% -- against 28% neutral.
Overview

45% of the analysed items (comments) carry a negative sentiment, driven by people who call the channel "the filthiest on the planet" or accuse the subject of "naive hypocrisy". 22% of the analysed items (comments) express an ANTI stance (arguments against the subject), while 15% of the analysed items (comments) express a PRO stance. Social Awareness (32%) and Religious Faith and Trials (30%) are the top themes (topics), with 30% of the analysed items (comments) using Moral Condemnation as a framing (how people present the argument). This audience consists of 3,868 comments under 100 posts.

3,968
Items Collected
100 posts · 3,868 comments
Negative
Dominant Sentiment
22.5%
ANTI Stance
Data Completeness
  • 11 of the 100 posts here account for half the items, so the shares below lean on a small number of threads.
  • Data collected from a single platform (youtube only). Cross-platform comparison is not available for this report.
  • 370 items (100 posts and 270 comments) published by the subject’s own accounts and the pages this conversation was collected from carry no sentiment, stance, dialect, theme or framing in this report: they are those accounts speaking, not the audience responding. They remain in the 3,968-item total, and every share in this report divides by that total -- so these items sit in the denominator without counting toward any category. That is 9.3% of the total, so a share of what the audience actually wrote is a little higher than the figure shown: 3,598 items wrote the classifications, not 3,968. Everything written by other people is counted normally.
02
Key Findings
The most important things to know before reading the full analysis.
KF-001
Negative sentiment is the most common reaction
Negative sentiment was recorded in 45% of items, while neutral sentiment appeared in 28% of items and positive sentiment in 18% of items. This represents 1,770 items with negative sentiment out of the total dataset.
The community writing the largest share of items expresses a negative view of the content.
HIGH Confidence
KF-002
Plurality of stanced items are opposed to the subject
Among the items that took a stance, 40% were ANTI, while 32% were NEUTRAL and 27% were PRO. Across the entire dataset, 22% of the analysed items (comments) carried an ANTI stance.
The audience that expresses a clear position is more likely to be opposed than supportive.
HIGH Confidence
KF-003
Social Awareness is the primary theme of conversation
The most prominent theme is Social Awareness, appearing in 32% of items. This is followed closely by Religious Faith And Trials at 30% and Interpersonal Conflict at 14%.
Commenters are primarily engaging with the content through the lens of societal and religious issues.
HIGH Confidence
KF-004
Moral Condemnation is the leading rhetorical framing
The most frequent framing used by commenters is Moral Condemnation, appearing in 30% of items. Political Critique is the second most common framing at 16%.
A significant portion of the discourse relies on moral judgment rather than purely political or factual arguments.
HIGH Confidence
KF-005
Modern Standard Arabic is the most used dialect
40% of items are written in Modern Standard Arabic, while 25% are written in Levantine. These figures describe the speech communities of the people who commented.
The conversation is led by a community using a formal linguistic standard, followed by a community from the Levant region.
HIGH Confidence
02.Q
Verbatim Quotes
Representative comments translated into English, selected for clarity and diversity.

The following comments were selected to represent the range of voices, dialects, and sentiments active in this dataset. They are reproduced as collected; no content has been altered.

English translations generated by AI. The original text is shown below each translation, in whatever language it was written.

#1
EN
Regarding polygamy, the West practices its own extreme version: endless affairs and constant replacements without any rights. Eurostat data shows that children born out of wedlock exceed 43% in the EU, reaching over 60% in France and 50% in Iceland. What about the psychological state of millions of children growing up without fathers or stable families? And what of the single mothers struggling with poverty, torn between work, parenting, and fleeting relationships?
AR
بالنسبة للتعدد.. الغرب يمارس الآن أكبر حالات التعدد.. تعدد العشيقات واستبدالهم يوميا بدون اي حقوق.. تتجاوز نسبة الأطفال المولودين عن علاقات عابرة في الاتحاد الأوروبي 43%، وفقاً لبيانات يوروسطات. وتصل هذه النسبة في بعض الدول مثل فرنسا إلى أكثر من 60% بينما تعد أيسلندا الأعلى بنسب تتجاوز الـ 50%.. طيب ما هو وضع نفسية ملايين الأطفال الذين يعيشون بدون أب ولا أسرة طبيعية.. وماذا عن الأمهات العازبات اللآتي في الغالب تعاني من الفقر وتقسم نفسها بين الشغل والطفل والعلاقات العاطفية العابرة مع الذكور لا تعرف الاستقرار؟ ترى لماذا نجدكم صم عمي عن كل هذا فالحين إلا في انتقاء الإسلام ؟
Comment · MSA · ANTI stance toward critique of Islam · NEGATIVE sentiment · youtube
#2
EN
This channel deserves a sign! Couscous and Tagine are sovereign symbols of authentic Moroccan Amazigh identity. Couscous isn't just "good food"; it is an Amazigh legacy documented for millennia in North Africa, preserved by Morocco through its diverse forms and ancient rituals. Claiming it as a "shared" product without credit to the Amazigh and Moroccans is an attempt to erase the people's efforts to protect this heritage.
AR
قالب زوين خاص هاد القناة تسينيالا الكسكس والطاجين: رموز سيادية للهوية الأمازيغية المغربية الأصيلة ​الكسكس ليس مجرد "أكلة طيبة"، بل هو إرث أمازيغي موثق منذ آلاف السنين في شمال إفريقيا، والمغرب هو الحاضنة التي حافظت عليه بأشكاله السبعة (سبع خضاري) وبطقوسه الضاربة في القدم. ​محاولة تقديمه كمنتج "مشترك" دون إرجاع الفضل لأهله (الأمازيغ والمغاربة) يُعتبر عند الكثيرين محاولة لطمس الجهد الذي بذله هذا الشعب للحفاظ على هذا التراث. "التلصق" والبحث عن هوية جاهزة ​العديد من الشعوب في المنطقة (سواء في الشرق أو حتى في بعض دول الجوار) تحاول أحياناً تبني المكونات الثقافية المغربية لأنها قوية، أصيلة، ومنظمة. ​القفطان، الجلابة، المعمار الموري، والطبخ المغربي، كلها أصبحت "ماركة عالمية" (Brand)، وهذا ما يدفع البعض لمحاولة نسبها إليهم أو جعلها "تراثاً إنسانياً مشتركاً" ليهربوا من واقع غياب إرث مماثل لديهم.
Comment · Code-switched · PRO stance toward Moroccan and Amazigh identity · NEUTRAL sentiment · youtube
#3
EN
My friend, my beliefs don't matter. What matters is that you, and all Arabs and Muslims, read more about our religion to discover its true essence -- because not everything we are raised on is absolute truth. If you lack the time or patience to study deeply, at least listen to the other side. Check out channels like Hassan Issa or Qusai Bitar; listen, reflect, and engage with their ideas.
AR
صديقي .. مو مهم معتقدي ولا مهم شو الي بآمن فيه .. المهم انك انت كمان وكل العرب والمسلمين تقرأوا اكتر بديننا الي خلقنا فيه .. تكتشفو حقيقة الدين (لان مو اي شي بيربى عليه البني ادم بكون حقيقة مطلقة) اذا ما بدك تقرأ بالدين وما عندك وقت او خلق كتير انك تقرا وتتعمق فيه .. قوي قلبك واعطي فرصة تسمع للطرف الاخر .. في قنوات حلوة كتير وبتدعيك للتفكير متل حسن عيسى وقصي بيطار .. بس سمعلن وناقشن وفكر بحكين وبالافكار الي بيطرحوها .. واذا عندك تيكتوك فيك تناقش حسن ع قناتو هنيك مو ضروري تترك الدين بس الضروري انك (تفكر) وتطلع شوي برا الصندوق بالتوفيق صديقي بتمنالك كل خير🤍
Comment · Levantine · NEUTRAL stance toward religion · POSITIVE sentiment · youtube
#4
EN
The tragedy in the Arab world is the attempt to enforce faith through coercion rather than reason or belief. Forcing religious observance ignores human reality and basic rights. Without a constitution that protects everyone regardless of religion, there is no hope for justice. This raises a vital question: can Christians or other sects force Muslims to abandon their Ramadan fasts?
AR
الكارثه في العالم العربي يريدون معرفه الله بالقوه وليس بالعقل وليس بالايمان وهنا القطائف اخرى بالعراق تعيش وربما لا تصوم حتى اذا كان المسلمين لديهم ظروف او كسب او عماله ما تقدر اذا كان الجبر ان تعبد لله ان تكون انت عبيده فهذا ليس في قانون البشريه وليس في عام 2026 ولكن ليس هنالك امل لان يعدلها القوانين لان لا يوجد حقوق الانسان ولا يجد دستور يحفظ حقوق الجميع من دون دخل الدين بالدستور او القانون.السؤال الثاني هل يستطيع المسيحيين او الطوائف الاخرى ان يفرضوا على المسلمين برمضان هم عن لا يصوموا اذا كان مثله رمضان المسلمي هل يستطيع لا لان الدين الاغلبيه لتتحكم؟
Comment · MSA · ANTI stance toward religious imposition and lack of legal secularism · NEGATIVE sentiment · youtube
#5
EN
The eternal conflict continues between followers of the natural instinct (*Fitra*) and followers of mere ideology. Who, then, are the followers of *Fitra*? As Allah declares in His clear Book: "The fitra of Allah upon which He has created [all] people. No change should there be in the creation of Allah. That is the correct religion, but most of the people do not know." They are the Muslims, for as He says: "And whoever seeks a religion other than Islam, it will never be accepted from him."
AR
ويستمر الصراع الأزلي وما بين أتباع ملة الفطرة ! وما بين أتباع ملة الفكرة ! فمن هم إذن أتباع ملة الفطرة ؟ والجواب هو ! وكما قال عنهم المولى عز وجل وفي كتابه المبين فِطْرَتَ اللَّهِ الَّتِي فَطَرَ النَّاسَ عَلَيْهَا ۚ لَا تَبْدِيلَ لِخَلْقِ اللَّهِ ۚ ذَٰلِكَ الدِّينُ الْقَيِّمُ وَلَٰكِنَّ أَكْثَرَ النَّاسِ لَا يَعْلَمُونَ إذن فأولئك هم من يشار إليهم يقينا وبملة الإسلام والمسلمين ( ومصداقا لقوله تعالى ) وَمَنْ يَبْتَغِ غَيْرَ الإِسْلاَمِ دِيناً فَلَنْ يُقْبَلَ مِنْهُ وَهُوَ فِي الآخِرَةِ مِنَ الْخَاسِرِينَ وفي المقابل !!! فمن هم إذن أتباع ملة الفكرة ؟
Comment · MSA · PRO stance toward Islam · NEUTRAL sentiment · youtube
#6
EN
Couscous is Moroccan in origin and spread geographically, but Moroccan couscous is uniquely diverse. Moroccans master it through traditional methods: hand-rolling flour, steaming it multiple times in a couscoussier over meat and seven vegetables, and serving it in a clay dish. It is seasoned with clarified butter, topped with meat and vegetables arranged in a circle, and modern generations often add "tfaya" (caramelized onions and raisins) on top.
AR
الكسكس مغربي الأصل وبحكم الجغرافيا انتشر في الجوار ولكن الكسكس المغربي مميز وبشتى انواع ؛فالمغاربة يتفنون فيه لانه اصل اما زيغي يستعملونه اولا كان يستخرجونه من الدقيق ويفتلونه في الطبق ويغربلونه ويصير كسكس ويفورونه في الكسكاس ويضعون اللحم وتقريبا سبع خضر في القدر السفلي ويضعون الكسكس في الكسكاس حتى يفورونه تقريبا 3فورات حتى يطبخ جيدا ويوضع في قصرية من الطين كبيرة ؛نضع اولا الكسكس مدهون بالسمن البلدي اولا ونضع الفوق اللحم وبطريقة داءرية الخضر ومع تقدم الاجيال صرنا نزيد التفاية من الفوق يعني بصل مقطع نصف دائري ويعسل بسكر وبزبيب يعني عنب يابس 🎉وهناك أنواع كثيرة نفس القاعدة والتحسينات كثيرة متنوعة ؛فهو يؤكل جماعة والاصل باليد مع كؤوس من اللبن 🎉 أما الطجين كذلك انواع خضر باللحم ومرق ؛لحم ؛بصل ؛زبيب ؛لحم بصل برقوق مشماش لوز مسلوق مقلي ؛مرق ؛وممكن استعمال الدجاج موضع اللحم ؛فالمغاربة نوعوا كثيرا من الطواجين فهم ماشاء الله في كل ناحية لها خصوصيتها وطرق كثيرة تستعملها متنوعة 🎉🎉🎉لان المغرب حضارة …
Comment · Maghrebi · PRO stance toward Moroccan culinary heritage · POSITIVE sentiment · youtube
#7
EN
It means if everyone offers sacrifices and kills, not doing so publicly leads to punishment 😂. If yes, your laws are based on public whim, making them corrupt. If no, you are contradicting yourself -- delete your comment. If you cite religion, your framework isn't neutral; it prioritises you over others. This bias makes your legal basis unjust, which is why you view the public right to food as invalid.
AR
معناه إذا كان الكل يتقرب بقربان ويقتل أحدا فإن عدم فعل ذلك علنا يعرضه للعقوبة😂 إذا نعم، فمرجعية قوانينك هي الجمهور فأنت فاسد لا أساس لقوانينك إذا لا، فأنت تناقض نفسك فاحذف تعليقك إذا قلت دينك، فمرجعيتك لا تنصف الجميع طبعا وتضعك في مقدمتهم بطريقة أو بأخرى ولا تتساوى تماما مع غيرك! وهو من ناحية حيادية وقانونية مرجعية ظالمة أيضا وهو ما جعلك ترى حق الأكل علنا باطلا لأن مرجعيتك تعطيك أولوية الحق فوق حق الأكل لغيرك وهذا المقصد وفي كل شيء آخر هناك شبيه ومثيل، ونقاط العدل في دينك لا تنفي وجود وبطلان نقاط الظلم أو أقله تمييز أتباع ذلك الدين عن غيره ، إذاً لا يمكن اعتباره قانونا عادلا شاملا.
Comment · MSA · ANTI stance toward the interlocutor · NEGATIVE sentiment · youtube
#8
EN
Cultural and social identity is sacred to nations, which strive to protect it from deviant foreign influences. Valentine's Day is a new phenomenon even in the West, let alone in Islamic nations. Seeing boys in skirts is a prime example of the effeminacy that signals the decline of Western civilization. Many countries, like China, are extremely strict in preserving their identity, even banning certain Islamic names to reinforce it.
AR
الهوية الثقافية والاجتماعية تعتبر شيء مقدس للدول لذلك تريد الحفاظ على هويتها وتمنع تسلل السلوكيات المنحرفة الدخيلة .. عيد الحب أولا هو ظاهرة جديدة حتى في الغرب..فما بالك بد لنا الإسلامية.. الولد خارج من الصندوق بتنورة بنات وهذا من أبرز مظاهر الميوعة والتخنيث.. بالمناسبة الميوعة والتخنيث هي السبب الرئيسي في سقوط الحضارة الغربية التي بدأت بوادرها ظاهرة للجميع.. عموما .. الكثير من الدول متشددة جدا في الحفاظ على هويتها.. في الصين كمثال.. منها مثلاً حظر بعض الأسماء الإسلامية في مناطق معينة لتعزيز الاندماج الثقافي. منع نشر أو تداول مواد تعتبرها الدولة "بذيرة" أو مبتذلة، وتطبيق قوانين صارمة ضد الانحراف عن التقاليد الصينية، مثل حظر تداول صور زهور الياسمين. فرض قيود على أنواع معينة من المطبوعات، المخطوطات، والأفلام التي يمكن أن تهدد "أمن الدولة". تقييد الأوشام ومنعه منعا باتا على القصر.. حظر "عقوق الوالدين" وإلزامية زيارتهم، حفاظاً على القيم الكونفوشيوسية التقليدية.
Comment · MSA · PRO stance toward cultural identity preservation · NEUTRAL sentiment · youtube
#9
EN
I wonder if Muslim commentators will now say they should respect the majority and pray at home, when hours ago they told those wanting to break their fast publicly in Iraq to hide. The difference is this person didn't use violence, and US law didn't forbid them, unlike the backward state that weaponizes the law to suppress minorities while ignoring corruption and harassment by [the believers]!
AR
أتسائل هل سيئأتي معلقوا المسلمين و يقولون عليهم احترام الأغلبية و الصلاة في بيوتهم كما كانوا قبل ساعات قليلة يقولون على من يريد الإفطار علنا في العراق التخفي. و يظل الفارق أن هذا الشخص لم يمارس العنف والقانون الأمريكي أصلاً لم يمنعهم من ذلك على عكس الدولة المتأخرة التي تسلّح القانون لقمع الأقليات و تترك الفساد و التحرش من "المؤمنين" !
Comment · MSA · PRO stance toward jaafar · POSITIVE sentiment · youtube
#10
EN
Safety and security??? 😂 In a Muslim country!??? 😅 Are you serious? 😂 I wish I could go to Europe or Korea -- places where I could at least be myself. Sadly, my country won't allow it due to a rotten, criminal, and outdated mindset... 😶 And you call them racist!? 🤔 Sure, they have unjustified racial racism, but racism against Muslims is, frankly, justified 😅... But what about your religious racism and killing apostates (which you all should follow)? 😃😅 What about killing those who disagree with you and forcing your ideology through indoctrination and intimidation?
AR
امن و امان!!!؟؟؟ 😂 ... في بلد مسلم!؟؟؟ 😅هل تتكلمين بجد؟😂 ياليتني استطيع الذهاب في اوروبا او كوريا بلد علي الاقل استطيع ان اكون فيها نفسي حتي ولو للأسف وطني لم يرد ذلك بسبب فكر متعفن مجرم منتهي الصلاحية ...😶 ثم أقلت عنصرية!؟🤔 صحيح لديهم (ليس كلهم) عنصرية عرقية و هي غير مبررة و لكن العنصرية ضد المسلمين فهي للأسف مبررة بصراحة 😅 ... لكن ماذا عن عنصرية الدين تبعكم وقتل المرتد (والتي يجب ان يتبعها كلكم) 😃😅 ...ماذا عن قتل من يخالفكم الفكر و اجباره به كما تفعلين بسبب التلقين و الترهيب ...ههه انتِ بنفسك قلت ان اذهب الي أوروبا اي انك تفضلين اجنبي ارهابي مسلم عن شخص مِن وطنك فعلا و لكنه فقط عقائدياً مختلف عنك💁‍♀️ ... بالنسبة للأدب و الأخلاق فهي لدي لادينيين اكثر من المسلمين للأسف😊😅 و هذا منطقي و طبيعي و الأهم هذا الواقع المحجوب عنك بسبب سياسة القطيع ومالقنتِ به 💆‍♀️ و لازلتِ ...
Comment · MSA · ANTI stance · NEGATIVE sentiment · youtube
#11
You don't seem to know much about this unfortunately. Egypt has a very bad an obvious problem with harassment, abuse, there's even a live map for harassment spots to avoid! Videos of harassment gone viral recently and swaths of men and sheikhs were defending it... just because the government is authoritarian doesn't mean it's doing much to deter this behaviour! Much can be said about Arab countries depending in the country so can wash their reputation and punish freedom of speech so the information out there is limited unless you know where to look. We have even seen a person with so much power and influence including someone in charge of promoting woman empowerment and equality both in Epstein files!!!
Comment · English · ANTI stance toward harassment and abuse in Egypt · NEUTRAL sentiment · youtube
#12
EN
Arabic AI is mostly based on Arabic-Islamic sources. This is in your favour -- it even prays for the Prophet -- yet you criticise it when the answer doesn't suit you😏! I already knew this information, but I used AI because it's easier and more organised; these are historical facts. Believe it or not, it's up to you. As if your Islamic books are all scientific and accurate! You're wrong about the crown; I have photos of the crown with a crescent logo. Try another trick, buddy.
AR
الذكاء البطيخ باللغة العربية هو مصادره اغلبها عربية اسلامية. وهو لصالحكم وحتى انه بيصلي على النبي. وقت جوابه ما يكون لصالحك بتنتقده😏!. انا المعلومة عندي ياها من زمان بس جبتلك من الذكاء الاصطناعي لانه اسهل وانظم هاي حقائق تاريخية. حبيت تصدق اهلا وسهلا. ما حبيت كمان اهلا وسهلا. كل شخص وقناعاته. عاساس كتبك الاسلامية كلها علمية وصحيحة! وكلامك غلط بخصوص التاج. وانا عندي صور التاج عليها شعار الهلال. العب غيرها حبيب
Comment · Levantine · PRO stance · POSITIVE sentiment · youtube
#13
EN
If the video targeted Jews, Buddhists, or Christians doing the same thing, I’d criticise them too; I critique mistakes objectively. As someone from the Middle East, I criticise because I want our people to be the best -- refined, moral, and peaceful. Why should I criticise Buddhists or Hindus just to boost your dopamine? They have plenty of critics; they don't need me. Enough with this argument.
AR
اذا الفيديو كان ليهود وبوذيين ومسيحيين وعاملين نفس الشي. كان بتشوفيلي نفس التعليق ضدهم. ما عندي مشكلة انقد الغلط بتجرد ثانيا انا من الشرق الاوسط واريد هاي البلاد وشعبها يكون الافضل ويكونو راقيين محترمين مودبين اخلاقهم عالية ومسالمين لهذا بنتقدهم. انا ليش بدك ياني انتقد البوذي او الهندوسي؟؟؟ بدك ياني انتقذهم مشان حضرتك يرتفع عندك الدوبامين وتقولي الحمدللات على نعمة السبانخ؟ البوذيين والهندوس والمسيحيين عندهم مين ينتقدهم مو محتاجي واحد متلي ينتقدهم خلصونا بقا من هالسالفة انه لازم انتقد كل الناس والغديان قبل انتقادي للاسلام!! يعني اذا انتقدتهم رح توقفو تردو علي وتشتموني وبتصيرو بتتقبلو النقد؟
Comment · Levantine · ANTI stance toward jaafar · NEGATIVE sentiment · youtube
#14
EN
No, honey, the West has no right to ban the hijab. Practicing religious rites is a freedom the state must guarantee to everyone. Honestly, if you were proud of your religion, you wouldn't say this! Look at Western women who convert to Islam; they are proud of their hijab and faith. Non-Muslims aren't forced to fast, but they must respect the laws of the state they live in, just as a Muslim must respect Western laws. Compromising one's religion in the name of progress and freedom is merely submission and a sense of inferiority. A Muslim is dignified through their faith.
AR
لا حبيبتي مو من حق الغرب أنهم يمنعوا الحجاب. ممارسة الفرد للشعائر الدينية من الحرية اللي لازم الدولة تكفلها لكل فرد. و انت و الله لو معتزة بدينك ما بيطلع منك هالكلام!! روحي شوفي الغربيات لما الوحدة فيهم تأسلم و تتحجب كيف تكون مفتخرة بحجابها و دينها. الغير مسلم لا يجبر على الصيام، لكن يجبر على احترام قوانين الدولة اللي عايش فيها. متل ما يجبر المسلم على احترام قوانين الدولة الغربية لو كان عايش فيها.. التمايع في الدين باسم التقدم و الحرية ما هو الا نوع من الخنوع و الاحساس بالدونية. المسلم عزيز بدينه!!!
Comment · Levantine · ANTI stance toward Western bans on the hijab · NEUTRAL sentiment · youtube
#15
EN
Yes, this is beautiful content, but here is a very important note that everyone must heed: a call from the world to the world -- stop the killing and torture of every sentient being. They feel and we reason. Let us switch to natural alternatives and supplements, which are already excellent and will only improve. All proteins exist in the variety of plants and vegetables. After this appeal, we hold everyone accountable. If you claim God permitted this, others will claim the same; there is no difference. Both have nerves, yet one kills the other.
AR
نعم، هذا محتوى جميل ولكن ملاحظة مهمة جدا يجب التنبه لها ولا يعذر فيها أحد 💚🍏🍏🍏🥗🥬📗🟩🥦نداء العالم للعالم، توقفوا عن القتل والتعذيب لكل ذي عصب فهم يشعرون ونحن نعقل، ونبدل بالبدائل الطبيعية والمكملات الغذائية التي ستتطور أكثر وتكون مغذية أكثر رغم أنها مغذية وممتازة الآن، كل البروتينات موجودة في تنوع الخضروات والنباتات، فبعد هذا التبليغ لا نسامح أحدا🥦💚🟢🟩📗🍏🥗🥬 فلو قلت أن الرب سمح لك بهذا، يقول الآخرون ونحن سمح لنا أيضا بهذا فلا فرق بينكما، الكل عنده أعصاب وأحدكما يقتل الآخر ويترك الآخر
Comment · MSA · ANTI stance toward animal slaughter and cruelty · POSITIVE sentiment · youtube
#16
EN
your Prophet committed crimes far worse than Epstein's, so stay silent to avoid embarrassment for yourself and him. Atheists are more moral than you. A true Muslim with ethics would leave such an extremist, exclusionary religion. I'm amazed by Muslim women defending a faith that insults and humiliates them. Get treated for Stockholm Syndrome caused by your narcissistic, psychopathic, sex-obsessed Prophet and the men brainwashed by his ideology.
AR
ارتكب جرا ئم أفظع من ابستين. لذلك الأفضل تسكتي وما تجيبي البهدلة لنفسك و له. الملحدين عندهم أخلاق اكتر منك ومنه. أصلاً المسلم اللي بيفهم وعنده أخلاق هو اللي بيترك هيك دين ارها بي اجرا مي تقصائي تكفيري. وعجبي من نساء المسلمين اللي يدافعوا عن دين اهانهن و اذلهن. روحي تعالجي من متلازمة ستوكهولم اللي سببها لك نبيك النرجسي السيكوباتي المهوووس بالجنس و ذكور المسلمين اللي تشربوا فكره النرجسي السيكوباتي بيكون احسن الك و لكل المسلمات الذليلات المغسول دماغهم ببول البعير متلك. وع فكرة ابستين ملحد من اصل يهودي. يعني ابن عمك كما ادعى نبيك 😅😂 و ع فكرة النصارى انقرضوا من أيام محمدك. بتعرفي مين النصارى؟ ورقة بن نوفل المهرطق الذي طرد من الكنيسة المسيحية بسبب هرطقته النصرانية و بنت عمه خديجة مخترعا الدين الإسلامي و اللي استغلوا نوبات الصرع والهلوسات السمعية البصرية اللي كان يعاني منها قثم بن أبي كبشة زوج خديجة فأقنعوه انو نبي و سمى نفسه محمد بدل قثم 😅 وجركم وراه لعبادة اله قريش الوثني الشيطاني.
Comment · Levantine · ANTI stance toward Islam · NEGATIVE sentiment · youtube
#17
EN
No, my friend, things aren't what they seem. Those who support Arab fascist and oppressive regimes are often the ones who helped establish them. The Gulf ruling families were once nomadic herders until the British tempted them with titles like kings and princes, organising them into states to secure Western interests after "independence." Furthermore, look at the Egyptian army's massacre at Rabaa and how dissidents across the Arab world are imprisoned, killed, or tortured to death.
AR
يا عزيزي.الامور ليست كما تبدوا لك .من يدعم الأنظمة الفاشية والقمعية العربية ولعلمك من أسسها أصلا.العائلات الحاكمة في الخليج العربي كانت ترعى الإبل والغنم وتعيش حياة البدو وجاء الإنجليز ووسوس لهم وأغراهم بأنك ستصبح ملك وانت اميرا والأخر سلطان ونضمهم على شكل دول ومؤسسات وحدود وفي المقابل طلب منهم الثورة على العثمانيين وحفض المصالح الإنجليزية والغربية بعد ما يعرف بالاستقلال.وشيئ آخر كم قتل الجيش المصري من مواطن في رابعة والمعارضين في الوطن العربي اما في السجن او قتل أو عذب حتى الموت هل ترى أن هناك انتقاد او ضغط من دول الاتحاد الاوروبي وأمريكا.ولكن ما دام هناك مصالح وصفقات.الحرية وحقوق الانسان غير مهمة
Comment · MSA · ANTI stance toward Arab authoritarian regimes · NEUTRAL sentiment · youtube
#18
EN
What business do they have with her country? Stop interfering in Africa and the Middle East first, then your point will be logical and right. They've spread military bases worldwide, stealing resources; wherever there is oil, they manufacture [Islamists] or "dangerous weapons" just to steal it. They act like thugs. Kudos to her for speaking the truth. After the Epstein Island story, he should stay silent. The US state's power is built on stealing other nations' resources. We have nothing to do with them.
AR
مالهم و مال بلدها .. خلي يحلو عن افريقيا و الشرق الاوسط بعدين بتصير جملتك منطقية و ذكية و محقة.. ناشرين قواعد عسكرية بكل العالم و نازلين سرقة خيرات الارض و كل مكان فيو نفط بصير فيو اما اسلاميين او أسلحة خطيرة بس ليسرقوه .. صاير متل البلطجي و برافو عليها قادرة تحكي كلمة حق .. اصلا بعد قصتو بجزيرة ابستين لازم يسكت ..و الدولة الأمريكية اذا قوية فهي قائمة عسرقة خيرات البلاد التانية . لهيك مالنا و مالنا و نص
Comment · Levantine · PRO stance toward the woman in the video · POSITIVE sentiment · youtube
#19
EN
Why are you asking "why"? Light is the fastest thing, yet it would take billions of years to reach us from the furthest points of our 93-billion-light-year-wide universe. With 2 trillion galaxies and 200 sextillion stars -- all while the universe expands -- how can you still wonder? Even the human body remains a mystery, from our 86 billion neurons to our complex lungs.
AR
ليه هقولك ليه تعرف الضوء اسرع شيئ توصل له الإنسان هياخد كام سنة علشان يوصلنا من أبعد نقطة في الكون ؟ هياخد مليارات السنين ودا بالنسبة للكون حاليا اللي قطرة ٩٣ مليار سنة ضوئية أنت متخيل دة غير إن الكون بيتوسع أصلا ولا عدد المجرات اللي حوالي 2 تريليون ولا عدد النجوم اللي حوالي 200 مليار تريليون بعد دة كله بتسأل ليه؟ ولا الإنسان المخلوق المعقد اللي مازال فيه حجات لسه العلماء مقدرتش تكتشفها ولا تفسرها لحد الآن اللي في دماغه حوالي ٨٦ مليار خلية عصبية ولا رئته اللي بتحتوي على ٣٠٠ إلى ٥٠٠ مليون خليه عصبية ؟ تعرف البعوضة الحشرة صغيرة جدا عندها كام عين عندها ١٠٠عين و٣ قلوب و٤٨ سنة ولا جهاز الاستشعار ابحث عنها هتشوف العظمة اللي بجد والله ونعم ومعجزات كتييير جدا في أكبر مخلوق لأصغرهم قال تعالى"وإن تعدوا نعمة الله لا تحصوها " ؟ أظن بعد دة كله عرفت ليه يعني مش معقول العظمة دي كلها وجدت بدون خالق ومبدع لها ومش معقول ما نعبدش إله بالعظم دي ونقول سمعنا وأطعنا ؟
Comment · Egyptian · PRO stance toward existence of a Creator · NEGATIVE sentiment · youtube
#20
EN
As a Muslim, I feel Homs University has a unique history; the regime's sectarianism began by restricting prayer spaces and targeting conservative students. I suspect this new decision is a reaction to those past restrictions. However, fasting is a personal act of worship we shouldn't force on others. It requires mutual respect. Children, women, and non-Muslims are exempt; a Muslim's fast doesn't affect others unless it becomes provocatively performative.
AR
انا مسلم.. وجامعة حمص الها خصوصية لانو بالاساس النظام بلش بهي النعرات الطائفية لما كان يمنع اقامة مصلى صغير بالجامعة، وكتير إجراءات بضيق ع الطلاب المحافظين.. هلأ بتوقع يلي قائمين بالامر عملو هاد القرار نكاية بأبام التضييق السابقة لكن انا برأيي هاد الشي عبادة فردية ما فينا نلزم حدا تطبيقها.. فقط الموضوع يحتاج لاحترام متبادل.. وبطبيعة الحال جميع الاطفال وبعض النساء لعذر شرعي، المسيحيين وغير المسلمين كلن مفطرين.. يعني المسلم الصيام خلص صايم ما الو علاقة بالآخرين.. فقط اذا كان مظاهر استفزازية او شي بهدد السلم الاهلي يجب منعو.. اما عبادات فردية الصح انو خلص كل شخص الو حريتو
Comment · Levantine · MIXED stance · NEUTRAL sentiment · youtube
02.E
Entity Signals
The three most-mentioned entities and their significance for the key findings.
Entity signals

144 mentions of Ramadan show the month is a primary focal point for the conversation. 141 mentions of Islam and 111 mentions of Muslims carry negative sentiment toward the channel, showing that people link the content to negative views of these concepts.

EntityTypeMentionsDominant Sentiment
Ramadan (رمضان)Concept144Neutral
Islam (الاسلام)Concept141Negative
Muslims (المسلمين)Concept111Negative

Dominant Sentiment is the tone of the items that mention the entity. Where the classifier recorded sentiment toward the entity itself that is used; otherwise the item's sentiment toward the subject stands in, so the column reads as "how the people who brought this up felt", not "how they feel about it". Mixed means the leading tone led the runner-up by less than a fifth, and the same margin applies to Dominant Stance. Dominant Stance counts only the items that named this entity as what they were for or against, which is a much smaller group than the items that took a stance on the subject as a whole: the two columns can point opposite ways without either being wrong.

03
Analysis
What the data shows across sentiment, stance, themes, time, audience, and platform.
03.1
Sentiment
How people feel about this subject and what is driving that feeling.
Negative sentiment leads toward the DW Jafar Talk channel at 45% -- against 28% neutral.
  • Negative runs 27 points ahead of positive.

% of all analysed items · sentiment toward the subject

Negative 45% Neutral 28% Positive 18% Mixed 0%
Negative
45%
1,770
Neutral
28%
1,118
Positive
18%
709
Mixed
<1%
1
What is driving sentiment toward the DW Jafar Talk channel

45% of the analysed items (comments) carry a negative sentiment. Some users call the channel the filthiest on the planet and describe the host as a charlatan or a hypocrite. Other items include insults against the Ottoman Empire and attacks on Shiism (the branch of Islam followed by Shia Muslims).

03.2
Stance Distribution
How people are positioned toward this subject -- and what they are directing that stance at.
Opposition leads -- 40% of stanced items are ANTI against 27% PRO (22% of all items; 56% of items expressed a clear stance).

% of all analysed items · polarity toward the subject

ANTI 22% NEUTRAL 18% PRO 15% MIXED <1% CONDITIONAL <1%
ANTI
22%
893
NEUTRAL
18%
713
PRO
15%
608
MIXED
<1%
17
CONDITIONAL
<1%
8

Bars are percentages of all 3,968 analysed items. 2,239 of them (56%) recorded a stance toward the subject; the remaining 44% took none toward it; some of those took one toward something else, which the stance-target chart below counts. Among those, 40% are ANTI and 27% PRO.

PRO voices

15% of the analysed items (comments) carry a PRO stance (support for the subject). These users praise the content creator's personality and authenticity, calling the subject "inspiring", "brave", and "spontaneous". Some users express affection through prayers for the subject's well-being or by complimenting the food shown in the videos.

ANTI voices

22% of the analysed items (comments) carry an ANTI stance against Jaafar and the DW Jafar Talk channel. Some users call Jaafar a "Zionist slave to money" or a "scoundrel" for his use of religious content. Others describe the channel as the "filthiest on the planet" and argue that Jaafar uses his platform to project psychological complexes onto Muslims.

NEUTRAL voices

18% of the analysed items (comments) carry a NEUTRAL stance. These users ask Jafar and Friedman factual questions about religious beliefs, evidence for the existence of God, and the name of background music. Others provide general information on social justice or regional food names without praising or criticising the channel.

What stance is directed at

Stances are spread across multiple targets: Subject 56%, Concept 26%, Person 15%. Each percentage represents the share of all items directed at that target (items may target more than one).

% of items · category of the stance target

Subject
56%
2,239
Concept
26%
1,034
Person
15%
595
Policy
4%
146
Media Content
3%
108
Organisation
3%
107
Other
<1%
21
Country
<1%
1
Platform
<1%
1
Location
<1%
1

Named stance targets

TargetMentions
PRO: Islam41

These are stances the classifier recorded against a named thing. A stance taken toward the subject as a whole is counted in the Subject row above and not here, so a small count beside a large Subject figure means people mostly addressed the subject rather than naming a target within it.

03.3
Themes
The recurring topics and subjects running through the conversation.
"Social Awareness" leads with 32% of items -- it is the clearest indicator of what this audience cares about most.

% of items · theme (one item may carry multiple themes)

Social Awareness
32%
1,287
Religious Faith And Trials
30%
1,196
Interpersonal Conflict
14%
566
National Identity And Patriotism
14%
555
Government Policy And Governance
7%
269
Regional Stereotyping
6%
221
Social Awareness (1,287 items)

30% of items in this theme carry a neutral stance, with some users sharing philosophical views on social justice and equal opportunity. 18% of items in this theme carry an anti stance (opposition to the subject), including users who call the program trivial and others who use insults or attack specific religious and historical groups. 17% of items in this theme carry a pro stance (support for the subject), where users praise the creator's spontaneity and charm.

Religious Faith And Trials (1,196 items)

54% of items in this theme have a negative sentiment. Many users argue that religion justifies violence and rape, while others claim that the concept of God is a myth or that the deity is evil for allowing the suffering of children. 25% of items in this theme carry an ANTI stance (opposition to the subject), with some users calling the subject a deceiver and a hypocrite for living in Germany while imposing beliefs on others.

Interpersonal Conflict (566 items)

85% of items in this theme carry a negative sentiment. 47% of items in this theme carry an ANTI stance (opposition to the subject), with users calling the subject "crazy", "trash", and "a dog". People use extreme profanity and personal attacks to accuse the subject of having psychological complexes or lacking manners.

National Identity And Patriotism (555 items)

41% of items in this theme carry a negative sentiment. Users argue over the origins of traditional foods like couscous and accuse others of stealing cultural traditions. Some users express hatred for specific countries or call the subject a hypocrite for praising foreign laws while attempting to impose religious beliefs on others. 19% of items in this theme carry a PRO stance (support for the subject). These users praise the beauty of Egypt and the authenticity of Moroccan and Amazigh heritage.

Government Policy And Governance (269 items)

52% of items in this theme have a neutral sentiment, while 40% are negative. People argue that governments in Syria and Iran ignore starvation and human rights to focus on restrictive social laws. 11% of items in this theme carry an ANTI stance (opposition to the subject), with some users claiming the channel uses ignorant logic or serves Zionist interests.

03.4
Temporal
How the conversation has moved over time.
0 279 558 2026-02-16 2026-02-17 2026-02-18 2026-02-19 2026-02-20 2026-02-21 2026-02-22 2026-02-23 2026-02-24 2026-02-25 2026-02-26 2026-02-27 2026-02-28 2026-03-01 PositiveNeutralNegative
DayVolumeSentiment
2026-02-1839923%↑ 47%↓
2026-02-1934624%↑ 40%↓
2026-02-2032618%↑ 47%↓
2026-02-2118325%↑ 49%↓
2026-02-2212623%↑ 49%↓
2026-02-2328610%↑ 49%↓
2026-02-2455815%↑ 47%↓
2026-02-2549018%↑ 37%↓
2026-02-2632925%↑ 43%↓
2026-02-2719223%↑ 43%↓
2026-02-2812225%↑ 44%↓
2026-03-015527%↑ 36%↓

Most recent 12 of 14 days; the chart above covers the full period.

Collection starts at 16:26 on 2026-02-16 and ends at 19:23 on 2026-03-01, so the first and last bars cover part of a day. Read the ends as partial, not as a ramp or a collapse.

Timeline interpretation

Activity peaked on 2026-02-24 with 558 analysed items (comments). The conversation is now settling as the overall trend is falling.

Day-over-day velocity

2026-02-23 peak growth +127.0%  ·  2026-03-01 sharpest drop -54.9%

DayVolumeChange
2026-02-18399▼ 7.9%
2026-02-19346▼ 13.3%
2026-02-20326▼ 5.8%
2026-02-21183▼ 43.9%
2026-02-22126▼ 31.1%
2026-02-23286▲ 127.0%
2026-02-24558▲ 95.1%
2026-02-25490▼ 12.2%
2026-02-26329▼ 32.9%
2026-02-27192▼ 41.6%
2026-02-28122▼ 36.5%
2026-03-0155▼ 54.9%

Most recent 12 of 13 day transitions.

03.5
Language & Dialect
Which language and dialect communities are most active in this conversation.
MSA is the primary language variety at 40% -- the formal written register, used across the whole region; it says how this audience writes, not where it is.

% of items · language, or Arabic dialect where the text is Arabic

MSA
40%
1,572
Levantine
25%
990
Egyptian
10%
416
Gulf
5%
212
Maghrebi
5%
199
English
2%
67
What the dialect breakdown reveals

40% of the analysed items (comments) use Modern Standard Arabic, while 25% use Levantine, making these the most engaged speech communities. Gulf-speaking commenters are the most critical, as 65% of Gulf items are negative. This is 22 points higher than the 43% of negative items among those writing in Modern Standard Arabic.

03.6
Narrative Mapping
The frames and storylines being used to discuss this subject.
"Moral Condemnation" is the dominant frame at 30% of items -- this is how the audience is choosing to present the subject.

% of items · narrative frame used (one item may use multiple)

Moral Condemnation
30%
1,180
Political Critique
16%
614
Empathetic Support
11%
449
Provocation And Ragebaiting
11%
433
Identity Based Attack
8%
302
Civic Duty Advocacy
6%
228
Religious Resignation
4%
177
Narrative framing analysis

The conversation is dominated by high intensity emotional responses, where moral condemnation serves as the primary vehicle for criticising the channel. This pattern reveals a polarised narrative strategy where users employ extreme ethical judgments to delegitimize the content, contrasting sharply with a smaller segment of deep personal affection.

Frame descriptions

Moral CondemnationThis frame appears in 30% of items, manifesting as severe accusations of ethical failure and lack of conscience.
Political CritiqueThis frame appears in 16% of items, manifesting as commentary on governance and systemic political failures.
Empathetic SupportThis frame appears in 11% of items, manifesting as expressions of love, kindness, and personal admiration for the creator.
Provocation And RagebaitingThis frame appears in 11% of items, manifesting as aggressive insults and attempts to incite conflict.
Identity Based AttackThis frame appears in 8% of items, manifesting as derogatory remarks targeting specific nationalities or cultural backgrounds.
Civic Duty AdvocacyThis frame appears in 6% of items, manifesting as discussions regarding social justice and the legal protection of the vulnerable.
03.7
Platform Breakdown
Where the conversation is happening and how it differs by platform.
Every analysed item was collected from YouTube. That is how this dataset was gathered, so this section cannot say how the conversation divides across platforms, or whether it runs elsewhere.

% of items with a known platform · where the item appeared

YouTube
100%
3,968
Platform context

This dataset consists of 3,968 analysed items (comments), comprising 100 posts and 3,868 comments from YouTube. Because all data comes from one platform, the set cannot show how the conversation compares across platforms or if it runs elsewhere.

03.8
Counter-Narratives
Opposing voices and the frames they use -- brief identification.
What the opposition is saying

The counter-narrative is dominated by Moral Condemnation, driven by 326 distinct voices who utilise aggressive language to attack the subject's character and upbringing. This is supported by a fragmented set of critiques focusing on Provocation And Ragebaiting (129 distinct voices) and Political Critique (90 distinct voices), with users frequently accusing the channel of hypocrisy and anti-Islamic sentiment.

5 qualifying counter-narrative clusters -- each meets the spec's 3-element rule (≥2 distinct voices, ≥3 items, shared framing).

FrameItemsVoicesRelated Frames
Moral Condemnation492326Identity Based Attack, Political Critique, Provocation And Ragebaiting
Provocation And Ragebaiting159129Identity Based Attack, Moral Condemnation
Political Critique11290Identity Based Attack, Moral Condemnation, Provocation And Ragebaiting
Identity Based Attack7567Moral Condemnation, Political Critique, Provocation And Ragebaiting
Religious Resignation3230Moral Condemnation
03.9
Voices & Influence
The accounts driving this conversation -- who they are and how they are connected.
Voice analysis

One account generated 280 engagement and carries an ANTI stance with negative sentiment. Another account produced 208 engagement and carries a PRO stance with neutral sentiment. A third account generated 187 engagement and carries an ANTI stance with negative sentiment.

Ordered by engagement. The account that wrote the most is Voice_11, with 66 of the 3,968 comments (1.7%) and 53 in engagement -- volume and reach are not the same thing here.

AccountPlatformCommentsEngagementShare of Voice ⓘStance
Voice_1youtube452800.8%ANTI
Voice_2youtube482080.6%PRO
Voice_3youtube231870.5%ANTI
Voice_4youtube151660.5%PRO
Voice_5youtube41490.4%ANTI
Voice_6youtube101290.4%NEUTRAL
Voice_7youtube261130.3%ANTI
Voice_8youtube191100.3%NEUTRAL
Voice_9youtube171100.3%NEUTRAL
Voice_10youtube341090.3%PRO
Voice_11youtube66530.2%ANTI
Voice_12youtube60460.1%NEUTRAL

Share of Voice: each account's engagement as a percentage of the engagement recorded across every item in this dataset. Engagement = likes + replies + shares. It is a share of the reactions these items drew, not of how much of the conversation an account wrote: the comments column is that.

03.10
Entity Detection
Named people, organisations, policies, concepts, and other entities appearing in the conversation.
Entity analysis

Ramadan and Islam draw the most attention with 144 and 141 mentions respectively. Several entities share a positive dominant sentiment, including Jaafar Tuk and Algeria. Several entities share a negative dominant sentiment, including Islam, Muslims, and the West. These mentions show the conversation focuses on religion and the relationship between the Arab world and the West.

Ramadan (رمضان) dominates by volume. Muslims (المسلمين) carries the most opposition.

EntityTypeMentionsDominant SentimentDominant Stance
Ramadan (رمضان)Concept144NeutralNEUTRAL
Islam (الاسلام)Concept141NegativePRO
Muslims (المسلمين)Concept111NegativeANTI
Jaafar Tuk (جعفر توك)Media85PositivePRO
Syria (سوريا)Location76MixedPRO
Iraq (العراق)Location75MixedNEUTRAL
Algeria (الجزائر)Location63PositivePRO
the West (الغرب)Concept62NegativeANTI
Person_1Person61MixedNEUTRAL
Egypt (مصر)Location54PositivePRO

Dominant Sentiment is the tone of the items that mention the entity. Where the classifier recorded sentiment toward the entity itself that is used; otherwise the item's sentiment toward the subject stands in, so the column reads as "how the people who brought this up felt", not "how they feel about it". Mixed means the leading tone led the runner-up by less than a fifth, and the same margin applies to Dominant Stance. Dominant Stance counts only the items that named this entity as what they were for or against, which is a much smaller group than the items that took a stance on the subject as a whole: the two columns can point opposite ways without either being wrong.

03.11
Brand Perception
How this brand is seen, framed, and discussed by this audience.
03.11.1
Places Mentioned
Which places this conversation talks about. These are references in the text, not where the audience is.
Regional reach

Iraq (93 mentions) and Syria (86 mentions) are the most frequently cited locations in the conversation. Morocco (64 mentions), Algeria (62 mentions), and Egypt (54 mentions) also appear prominently. The USA (47 mentions), Germany (40 mentions), and Europe (37 mentions) round out the primary geographic references.

Region / PlaceMentions
Iraq93
Syria86
Morocco64
Algeria62
Egypt54
USA47
Germany40
Europe37
Yemen36
Arab World27
03.11.2
Top Framings (brand-specific)
Frames used about this brand specifically, distinct from the surrounding conversation.

Frames used about this brand specifically (filtered to items where the brand is the primary subject):

Brand-perception frameItems
Moral Condemnation925
Political Critique406
Empathetic Support393
Provocation And Ragebaiting297
Civic Duty Advocacy277
03.11.3
Dialect Split
How perception of this brand differs across the dialect groups present here.
Brand perception by dialect

73% of Gulf-dialect items are negative, the highest share across all groups. This is 25 percentage points higher than the 48% of MSA (Modern Standard Arabic) items that are negative. 41% of Gulf-dialect items carry an ANTI stance (arguments against the subject), which is 14 percentage points higher than the 27% of MSA items with an ANTI stance. 69% of Egyptian-dialect items are negative. 50% of Egyptian-dialect items carry an ANTI stance, the highest proportion of any dialect group. This is 23 percentage points higher than the 27% ANTI stance in MSA items. 70% of Levantine-dialect items are negative. 40% of Levantine-dialect items carry an ANTI stance. This is 13 percentage points higher than the 27% ANTI stance in MSA items. 61% of Maghrebi-dialect items are negative. 34% of Maghrebi-dialect items carry an ANTI stance. This is 7 percentage points higher than the 27% ANTI stance in MSA items. 35% of Other-dialect items are negative, the lowest share of any group. 51% of Other-dialect items carry a PRO stance (arguments in favour of the subject). This is 29 percentage points higher than the 22% PRO stance in MSA items. The brand faces the strongest opposition in Egypt and the Arabian Gulf. The client should prioritise these audiences to address the high levels of ANTI stances.

Counts below are from 2,609 brand-primary items (items where this brand is the primary subject), not the full dataset. The Language & Dialect section reports the same dialects across all 3,968 analysed items, so its shares differ from these: the base is different, not the finding.

DialectBrand-primary itemsSentiment breakdownStance breakdown
MSA1,179negative 566 / neutral 342 / positive 271ANTI 313 / NEUTRAL 300 / PRO 255 / MIXED 2 / CONDITIONAL 1
Levantine712negative 495 / positive 152 / neutral 65ANTI 288 / PRO 134 / NEUTRAL 55 / MIXED 5 / CONDITIONAL 4
Egyptian303negative 208 / positive 69 / neutral 26ANTI 150 / PRO 61 / NEUTRAL 22 / CONDITIONAL 2 / MIXED 2
Gulf167negative 122 / positive 31 / neutral 14ANTI 68 / PRO 28 / NEUTRAL 9 / MIXED 1
Maghrebi132negative 80 / positive 42 / neutral 9 / mixed 1ANTI 45 / PRO 39 / NEUTRAL 6 / MIXED 2
Other81positive 45 / negative 28 / neutral 8PRO 41 / NEUTRAL 22 / ANTI 6
English35negative 15 / positive 11 / neutral 9PRO 12 / ANTI 10 / NEUTRAL 9
03.11.4
Platform Narrative
How the brand story differs by platform -- frame and tone per platform.

Counts and shares below are of the 2,609 brand-primary items (items where this brand is the primary subject), not of the full dataset. The Sentiment section reports 45% negative across all 3,968 analysed items; the difference is the base, not a disagreement.

Platform narrative

58% of the analysed items (comments) on YouTube carry negative sentiment. Users on this platform focus on Moral Condemnation and Political Critique (how people present the subject). 1,514 items (58%) on YouTube criticise the channel's ethics and political leanings. This high level of negativity on YouTube creates a reputation risk for the brand on the platform.

PlatformItemsDominant sentimentTop frames
youtube2,609NegativeMoral Condemnation, Political Critique
03.11.5
Brand Perception Influence
Voices whose content demonstrably drives sentiment or framing around this brand.
Voices driving perception

Anti-brand voices drive the most engagement. Voice_1 (280 engagement, ANTI) and Voice_3 (187 engagement, ANTI) are the most influential accounts shaping perception. Pro-brand voices also hold significant reach, led by Voice_2 (208 engagement, PRO) and Voice_4 (166 engagement, PRO). These influential voices are individual YouTube creators, meaning brand perception depends on personal opinions rather than official organisational statements.

VoicePlatformEngagementSentimentStance
Voice_1youtube280NegativeANTI
Voice_2youtube208NeutralPRO
Voice_3youtube187NegativeANTI
Voice_4youtube166NegativePRO
Voice_5youtube149NegativeANTI
Voice_6youtube129NeutralNEUTRAL
Voice_7youtube113NegativeANTI
Voice_8youtube110NeutralNEUTRAL
04
Risk & Signals
Signals that may require a response, ranked by severity.
Opposition Pattern

The opposition is organic dissent, driven by intense religious, cultural, and moral objections to the subject's content.

Risk context

The authenticity risk is MEDIUM, as the scanner found 2 of the 4 indicators it looks for. These indicators are repeated text from one account and bursts of posting.

04.1
Risk Signals
Patterns in the data that represent potential reputational, narrative, or engagement risks.
MEDIUM Severity
Negative sentiment concentrated among Levantine speakers
Sentiment is 58.9% negative across 990 items, meeting the Negative Over 50 Percent and 24 Hour Doubling criteria.
Monitor the discourse to identify the primary drivers of disagreement.
MEDIUM Severity
Negative sentiment concentrated among Egyptian speakers
Sentiment is 55.0% negative across 416 items, meeting the Negative Over 50 Percent and 24 Hour Doubling criteria.
Track the conversation to determine if the negative sentiment spreads.
MEDIUM Severity
Negative sentiment concentrated among Gulf speakers
Sentiment is 64.6% negative across 212 items, meeting the Negative Over 50 Percent and 24 Hour Doubling criteria.
Analyse the specific arguments being raised within this dialect group.
MEDIUM Severity
Authenticity risk: 2 coordination signals detected
The scanner counted 2 of the 4 indicators it is set to look for (rating: MEDIUM). What fired: repeated text from one account, bursts of posting. Each has ordinary explanations the scanner cannot rule out, so this is a prompt to look, not a finding that the conversation was manipulated.
Read the accounts behind those indicators and their text before drawing any conclusion. Check whether repeated text is one person restating a point, and whether the bursts sit against something that was published at that moment.
04.2
Opposition Signals
Sample content expressing an ANTI stance -- what the opposition is saying and where.

893 items carry an ANTI stance (22.5% of dataset). Samples below, in English translation where the analysis produced one. They are reproduced as collected and are not edited: the opposition in this conversation includes insults and sectarian language, and removing it would misrepresent what was said.

Content SamplePlatform
After that comment, I truly hope he gets sick; he deserves ityoutube
She put "USA based" in her bio, as if being in America is her only identity. I'll humble you, girl; you seriously need some guidanceyoutube
That's the same one from Snapchat, right? May God guide us. 🌚💔youtube
So what have you actually achieved to even get an interview? Failure in academics and failure in sports... Just say "geek."youtube
هادا شو علاقتو برمضان؟؟ مش بيحارب الاسلام و مدفوعلو عشان يخرب اخلاق الناس و معتقداتون، هلاء إجا الدور على رمضان؟؟؟youtube
04.3
Authenticity Assessment
Whether this conversation shows signs of coordinated inauthentic behaviour -- bot amplification, duplicate content campaigns, or organised posting.
MEDIUM RISK

2 signals detected across 3,598 items.

HIGH
4 accounts posted the same message repeatedly -- worst case: 11 near-identical items from one account.
MEDIUM
8 burst episodes detected across 7 days, where the number of distinct accounts in 30 minutes ran at least 3x the dataset median of 4. Largest: 23 accounts at 2026-02-24T19:00. A single episode is usually a news event; several separate ones are the pattern worth checking. 6 of 8 episodes open within 90 minutes of a post being published here, which is what an audience arriving looks like.

Context: dataset averages 11.8 items/hour across the collection window (2 weeks).

Authenticity assessment

Four accounts posted the same message multiple times, including one account that posted 11 near-identical messages. Eight bursts of activity occurred over seven days, with 23 accounts posting within 30 minutes during the largest peak on 24 February. Six of these bursts happened shortly after a post was published, which often happens when a real audience arrives to watch a new video. A person should check if the repeated text comes from a single person sharing their own view or from different accounts following a script to determine if this activity is coordinated.

05
Conclusions
What the data means for the client and what to prioritise.
05.SC
Strategic Conclusion
The single most important thing this analysis tells the client to do.
Key Takeaway

The DW Jafar Talk channel should prioritise moderating the comment section to address a high volume of hostility, as 45% of items carry a negative sentiment and 40% of items that took a stance are ANTI toward the channel.

Strategic conclusion

This audience, consisting of the people who wrote 3,868 comments across 100 posts, frequently uses Moral Condemnation (30% of items) and Political Critique (16% of items) to attack the presenter's persona and the channel's production quality. Because the authenticity risk is MEDIUM -- with the scanner counting repeated text from one account and bursts of posting -- the editorial team should review these flagged indicators to determine if the negativity is driven by a small number of repetitive users before deciding on specific moderation rules. The team should also note that while 32% of the dataset raised Social Awareness and 30% raised Religious Faith and Trials, these are prevalent themes of discussion and not necessarily requests for more content. Decisions regarding the channel's tone should balance the 27% of stanced items that are PRO with the 40% that are ANTI, as these represent a value dispute over the presenter's style and the channel's framing.

05.1
Actionable Recommendations
Specific steps the client can take, in order of priority.
R-001
Short-termEngage directly with the "Moral Condemnation" framing

30% of content uses a "Moral Condemnation" frame -- this is how the audience is interpreting the subject. Secondary frames are "Political Critique" (16%), "Empathetic Support" (11%). This meets the audience in the interpretive frame they are already using, which increases message credibility and reduces friction.

R-002
ImmediateDirectly address the concerns driving opposition

22% of conversation is oppositional and the Levantine-dialect community shows the sharpest negative signal at 59% negative sentiment. The dominant framing is "Moral Condemnation" -- address this frame explicitly in any response content. Convert sceptics into neutral or supportive voices; reduce the share of ANTI stance content over the next measurement period.

R-003
Medium-termOptimise content for higher engagement

Engagement averages 18 interactions across the 1,724 items that record one, of 3,968 analysed. There is no external benchmark here to compare that against. Lift average engagement and increase organic visibility through platform algorithms.

R-004
OngoingWrite to what this audience actually raises

The conversation concentrates on Social Awareness and Moral Condemnation. That is what this audience brought up, not a measure of what performed well: nothing in this report compares engagement between themes or framings. This aims the content at what the audience actually raised, and gives a before-and-after that can be measured.

05.AB
Actionable Brief
A one-page prioritised summary for decision-makers.
Situation

Analysis of 3,868 comments under 100 posts from the DW Jafar Talk channel shows that 45% of items express negative sentiment. Among the 56% of items that took a stance, 40% were ANTI toward the channel, while 27% were PRO. The conversation is centred on Social Awareness (32%) and Religious Faith and Trials (30%), with 30% of items using a Moral Condemnation framing.

Priority watch items
  • Medium authenticity risk signalled by repeated text from one account and bursts of posting.
  • High negativity rates across specific dialects, notably 137 Gulf-dialect items (65%), 583 Levantine-dialect items (59%), and 229 Egyptian-dialect items (55%) expressing negative sentiment.
  • The prevalence of Moral Condemnation (30%) and Political Critique (16%) as the primary ways this audience frames the content.
  • The gap between the 40% of stanced items that are ANTI and the 27% that are PRO toward the channel.
Recommended actions
  1. Read the flagged items involving repeated text and posting bursts to understand the nature of the Medium authenticity risk. -- immediate
  2. Review the specific comments driving the 30% Moral Condemnation framing to determine if these are factual objections or contested value disputes. -- within 2 weeks
  3. Adjust the moderation strategy for the comment section to address the high negativity rates found in Gulf, Levantine, and Egyptian dialect items. -- within 2 weeks
  4. Evaluate future commissions based on the audience's focus on Social Awareness and Religious Faith and Trials, without assuming these themes represent a demand for more of the same content. -- next quarter
G
Glossary & Methodology
Definitions of every analytical term used in this report, and a plain-English description of how the analysis was produced.

Term Definitions

Sentiment
Whether a post expresses a positive, negative, neutral, or mixed emotional tone toward the subject or the topic it discusses. Classified per item by the analysis model. Values: Positive · Negative · Neutral · Mixed.
Stance
Whether the author of a post supports, opposes, or takes no position on the subject of this analysis. Unlike sentiment (which measures tone), stance measures alignment. A post can be emotionally negative but still PRO (e.g. "this is terrible -- we must defend it"). Values: PRO · ANTI · NEUTRAL · CONDITIONAL · MIXED.
Stance Object
The specific entity, person, policy, or concept the stance is directed at. When a post takes a stance toward something other than the main subject -- for example, "ANTI: Gulf countries" -- the target is shown alongside the polarity label in verbatim quotes.
Frame / Framing
The lens the author uses to present the subject. Framing analysis reveals how an idea is packaged, not just what is said. The frames used in this report are: Moral Condemnation, Political Critique, Empathetic Support, Provocation And Ragebaiting, Identity Based Attack, Civic Duty Advocacy, Religious Resignation.
Theme
The topic an item is actually about -- the what, as distinct from framing (the how). Charted under Themes. The labels used in this report are: Social Awareness, Religious Faith And Trials, Interpersonal Conflict, National Identity And Patriotism, Government Policy And Governance, Regional Stereotyping, Political Critique.
Dialect
The Arabic regional variety detected in each post. Arabic is a pluricentric language reported here as one of six values: MSA (Modern Standard Arabic, the written register used across the region), Levantine (Syria, Lebanon, Jordan, Palestine), Gulf (the Arabian peninsula; Iraqi is grouped with Gulf here), Egyptian, Maghrebi (North Africa) and English. A variety names the speech community someone writes in, which follows where that community is from -- not where its members are now. A Syrian in Berlin writes Levantine, so this distribution does not locate the audience and MSA, the formal register, locates nobody at all.
Confidence
A score from 0 to 1 indicating how certain the analysis model is about each classification it produces. A score of 1.0 means the model assigns full certainty; 0.5 means it is uncertain between two categories. Confidence is self-reported by the language model -- it reflects the model's own estimate of its accuracy on a given item, not an externally validated accuracy measure. High confidence means a score ≥ 0.80. Results with low confidence (below 0.60) should be treated as indicative only.
Engagement
The total number of interactions an item received. In this report that is likes plus replies plus shares, which is what the Share of Voice column divides -- the two used to give different definitions of the same number. Engagement-weighted sentiment re-calculates the sentiment distribution using each post's engagement as its weight, so a single viral post with 50,000 reactions counts proportionally more than a post with 2 reactions.
Authenticity / Burst
A burst is a sharp spike in posting volume over a short time window that deviates significantly from the baseline rate. Bursts can be organic (a news event triggers mass reaction) or inauthentic (coordinated accounts post simultaneously). The authenticity rating counts how many of these indicators are present -- repeated text, bursts, uniform hashtags, shared name prefixes. It is a count of things worth a look, not a measurement of coordination and not a probability that the conversation was manipulated; each indicator has ordinary explanations the scanner cannot rule out. A rating of NONE means none of them were found, not that the conversation has been verified as authentic.

Analytical Methodology

1. Data Extraction
Raw content is collected from the source (social media APIs, scraped feeds, or uploaded datasets). Each item is extracted into a structured record containing text, author, timestamp, and platform metadata.
2. Per-Item Classification
Each item is sent individually to a large language model (LLM) with a structured prompt. The model returns sentiment, stance (with target), dialect, themes, and framing -- one classification per item. A self-reported confidence score (0-1) is included for each dimension.
3. Aggregation
Individual classifications are aggregated into distributions (e.g. % negative), cross-tabs (e.g. Egyptian-dialect posts by sentiment), entity tables, temporal trend buckets, and engagement-weighted variants. All arithmetic here is pure Python -- no LLM involvement.
4. Synthesis
A second LLM pass reads the aggregate statistics and a sample of representative posts and writes analytical narratives for each section of the report. The synthesiser is given strict data-fidelity rules: it must cite exact figures from the aggregation stage and must not invent percentages.
5. Report Generation
The renderer combines the aggregated statistics, charts, and synthesis narratives into this HTML report. All percentage figures in charts and prose are derived from the same aggregation data to ensure consistency.
A NOTE ON ACCURACY
Every label in this report was assigned by a language model, not by a person, and none of it has been checked against human coding for this dataset. No accuracy figure is quoted here because none has been measured on these items: published agreement rates come from other corpora and do not transfer. Accuracy is lower on rare dialects, on sarcasm, and on short or ambiguous text. Confidence scores below 0.60 should be treated as indicative. Aggregate distributions over hundreds or thousands of items are more stable than any single classification, but stability is not accuracy: a consistent misreading stays consistent.