By HENRY SREBRNIK Genocide is a grave and exceptional violation of international law, defined and prohibited by the Genocide Convention of 1948. But maybe Raphael Lemkin did us no favour in coining the word during the Holocaust. It is now used by antisemites against Israel.

Raphael Lemkin was a Polish-Jewish jurist who escaped from Europe when the Nazis occupied Poland. He moved to Washington, DC, in the summer of 1942, and went on to document Nazi atrocities in his 1944 book, Axis Rule in Occupied Europe. In this text, he introduced the word “genocide,” the destruction of a nation or of an ethnic group. This new word is made from the ancient Greek word genos (race, ethnicity or tribe) and the Latin cide (killing). 

But it’s not that cut and dried. Even before the antisemites accused Israel of genocide in Gaza, as a way of ridding themselves of any residual guilt about the destruction of European Jewry, the word had become little more than a term used by states and “human rights” groups who for one reason or another want to punish their adversaries. 

Most of the time they really are talking about “ethnic cleansing,” pogroms, massacres and war crimes. By such criteria, every participant in World War II committed “genocide.” The mass killings of civilians in Hiroshima and Dresden in 1945 would today qualify. But these were acts against even far worse perpetrators of what we now call genocide, designed to speedily end the war. 

What about the American war in Vietnam, and of course the almost numberless conflicts across Africa? The wars that dismembered Yugoslavia involved terrible massacres, particularly in Bosnia-Herzegovina and Kosovo, but did they really meet the criterion for genocide? The numbers killed needn’t be huge. About 8,000 Bosniak Muslims were murdered in Srebrenica by Bosnian Serb militias in 1995 during the Bosnian war. In the Western Hemisphere it would — and lately does — refer to the cultural and also physical extinction of pre-contact peoples from the Arctic down to Patagonia. 

Are ideological attempts to kill groups of identifiable people within a state — the Holodomor in Ukraine, but also elsewhere in Stalin’s USSR — genocide? What about the Khmer Rouge in Cambodia? Should we call this an “auto-genocide,” since it was perpetrated by the nation’s own mad Maoist regime? Was China’s Cultural Revolution a genocide? Millions probably died. Rwanda is an interesting case — obviously a mass murder by one class-cum-ethnic group against another, a giant pogrom involving intertwined peoples, but where the victims have now turned the tables. 

Actually, there have been very few ideologically intentional attempts to destroy a powerless and helpless people, in whole or in part. Only a few qualify by that definition, the Holocaust being an obvious one, as well as the Turkish mass murders of Armenians in World War I. The allegations that Israel committed this crime do not meet the established definition and standards of genocide, are unsupported by established facts, nor do they stand up to common sense scrutiny.

A finding of genocide requires evidence of acts that are intended to destroy a national, ethnic, racial, or religious group, in whole or in part. Israel has neither intended to, nor destroyed, Palestinians as a group in Gaza. Israel’s accusers allege genocide mostly because of the supposed number of civilians killed in Gaza. Such claims are rife with flaws. Genocide is not a quantitative crime; there is no specific number of civilian casualties that constitutes genocide. 

Israel set a high bar for how to conduct urban warfare against an enemy who will stop at nothing, including the death of its own civilians. What kind of genocide is it when the population of Gaza is larger today than it was three years ago? And how could it be that Israel is trying to kill innocents when the ratio of civilian-to-combatant casualties is lower than that of other urban wars fought in even less-difficult conditions?

Dave Rich, an Associate Research Fellow at the Pears Institute for the Study of Anti-Semitism, writes extensively about the intersection of anti-Israel activism, far-left politics, and modern antisemitism. He observes that people respond to the genocide charge through facts and data: Israel’s supporters take the charge of genocide on its face, as an evidence-based allegation of a crime, and try to construct the case for the defence. But there is no defence, because the charge is not made on that basis, or for that purpose, he states. 

The term “genocide,” he notes in “From Be’eri to Bondi: Global Antisemitism After October 7, published in Fathom, October 2026, has shed its legal meaning and become a political label, whose antithesis is “resistance.” These two terms represent two states of being: in a colonial setting, either you are engaging in genocide or you are resisting it. There is no middle ground. “Israel is condemned as genocidal, not by observation, but through logical deduction: Israel is colonial, therefore by definition it is genocidal. It cannot be otherwise. And Gaza represents resistance against the entire Western colonial and capitalist power structure.”

Maia Zelkha, editor-in-chief of Yad Mizrah, a Sephardi and Mizrahi cultural magazine, also contends that the left employs the word “genocide” as an ideological weapon. “Before Israel had even launched its ground invasion of Gaza, and before there was any evidentiary record of Israel’s military campaign,” she writes, in her article “Genocide and Its Jurors,” in Quillette, Sept. 24, 2026, many leftist groups “were already describing Israel’s response as genocide.”

On Oct. 8, just a day after Hamas’s massacre and kidnappings, thousands of demonstrators gathered in New York’s Times Square in an “All Out for Palestine” rally to support “Palestinian resistance.” Within days, other organizations were issuing statements describing Israel’s unfolding military response as genocide, situated within a pre-existing theory of Israel as a colonial project that had produced genocidal dehumanisation. Prominent academics, human-rights organisations, activists, journalists, and public intellectuals described Israel’s conduct as genocidal. 

Although the conviction that Israel is committing genocide against the Palestinians is not new, it has garnered ever more strength since the beginning of this war. In March 2024, the UN special rapporteur on the Palestinian territories, Francesca Albanese, published a report alleging that the Israeli war in Gaza constituted a genocide. In December of the same year, both Amnesty International and Human Rights Watch did the same. Then in July 2025 came both Physicians for Human Rights and B’Tselem, followed almost immediately by the International Association of Genocide Scholars. A resolution from the latter organization requires a two-thirds vote of its members, academics in the field of genocide studies, to pass. One would be hard-pressed to find a more reputable source for the libel.

On Sept. 16, 2025, a UN Commission of Inquiry concluded that Israel was committing genocide in Gaza; other prominent left-wing organisations and scholars have reached the same conclusion. And finally, on Oct. 9, the Norwegian Nobel Committee announced that it awarded the Nobel Peace Prize for 2026 to South African judge Navanethem “Navi” Pillay, who led the 2025 UN commission that found Israel guilty of genocide against the Palestinians while completely ignoring many of the world’s worst human rights abusers, including, of course, Hamas. Pillay’s commission found that Hamas and other Palestinian armed groups committed war crimes. Yet it accused Israel of genocide. This is a staggering moral inversion. And now the award of the Nobel; this appears to be the greatest possible legitimization of the now-established consensus about Israel’s war in Gaza. The icing on the cake!

But remember this: When a jihadist terrorist organization like Hamas applauds a Nobel Peace Prize, the moral judgment of the Nobel Peace Prize Committee should rightly be called into question.

Henry Srebrnik is a professor emeritus of political science at the University of Prince Edward Island.

Black Friday campaigns often require rapid decision-making, consistent messaging, and promotional materials on multiple digital channels. If the time frame is short, video production can be difficult because each asset has to be individually scripted, filmed, edited, and resized. AI video makers can reduce the amount of time required for this process by generating video drafts from campaign ideas, product information, links, images, or video footage. Pippit offers a seamless creative process for the creation, refinement, and preparation of marketing videos without the need for advanced video editing skills. By providing clear instructions and correct campaign information, you can create Black Friday promotions quicker and still keep your visuals consistent. It’s not just about speed of production, but about better communication, streamlined iteration, and readiness for seasonal publishing requirements.

Why Black Friday Promo Videos Need a Faster Production Workflow

Black Friday marketing campaigns can be done in very short timeframes, which is why efficiency in production is particularly crucial. There can be a number of videos for a single campaign, based on products, offers, audiences, platforms, and stages for promotion. Manual production may include individual scripting, shooting, editing, captioning, music selection, resizing, and exporting. Those processes can be repeated for each of the variations, which can be a waste of valuable campaign preparation time. Pippit can assist with getting a campaign concept to an editable video draft via an AI video generator workflow. Creative inputs can be text, links, files, images, videos, or other media. Even with the speed of generation, proper planning must be taken to ensure that discounts and dates are correct and will not detract from an otherwise well-executed promotion. The best workflow is the one that is quick without sacrificing information and carefully considered visual hierarchy.

Build a Black Friday Promo Concept Before Generating the Video

First, make sure you specify exactly what you’re offering, what product you’re promoting, how long your promotion is, who you’re targeting, and what you want them to do. Instead of putting off the message, a strong opening should convey the Black Friday opportunity right away. Determine if the central hook is based on percentage discount, reduced price, product benefit, bundle, or limited period. Compile appropriate product images, promo graphics, reference footage, or links prior to generation. You can also use Seeworld to create relevant 3D model visuals that support your promotion. Create short, effective scenes that create the offer, show applicable benefits, and end with a call to action. Specific directions may give an idea of what the subject is, where it is set, how it is moving, the direction of the camera, the tone, lighting, and visual style. Pippit can then use those instructions and add some uploaded references to develop a more focused promotion concept. Ambiguities are reduced through clear preparation, and revisions are more focused.

Steps to Launch Black Friday Promo Spots Fast with an AI Video Generator

Step 1: Set Up Your Black Friday Workspace

• Sign in to Pippit using Google or social media before creating your Black Friday campaign.

• Open the “Video generator” from the left menu under the “More” tab to begin.

Step 2: Build Your Black Friday Promo

• Select Dreamina Seedance 2.5, Dreamina Seedance 2.0, or Dreamina Seedance 2.0 Fast.

• Choose Dreamina Seedance 2.0 Mini, Dreamina Seedance 1.0, or “Auto Route”for value.

• Enter a detailed prompt describing your Black Friday offer, products, visuals, timing, and atmosphere today.

• Click “+” to upload reference images or videos from your device, phone, Dropbox, or a link.

• Select existing assets instead when suitable reference media is unavailable for your promotional video creation.

• Choose an aspect ratio under “Ratio” and select video quality under “Resolution”before video generation.

• Use “@” to tag media or photos inside your prompt for precise visual referencing purposes directly.

• Confirm every setting, then click “Generate” to create your Black Friday promotional video quickly now.

Step 3: Polish and Publish Your Offer

• Preview the generated video and adjust details

• Click “Regenerate” when results need further changes.

• Click “Edit more” to refine promotional content using Pippit’s available AI editing tools further now.

• Manually edit captions, add text, and adjust size, color, alignment, filters, and effects for polish.

• Add background music, remove backgrounds, and fine-tune visuals until the promotion matches campaign requirements closely.

• Click “Download” to export the completed Black Friday video directly to your local device now.

• Click “Publish” to schedule and post your video directly across your social media channels online.

Turn One Black Friday Idea into Multiple Promotional Variations

Multiple creative variations can be built on the same Black Friday concept without having to create everything again manually. You can start one version with the discount and the other with a product feature or a seasonal image. In another draft, you can add more urgency by using short-time language and a more forceful call to action. Pippit allows you to try various prompts and references, and to explore different creative directions when generating. Product images, footage, and other media can also be altered without the main campaign information being altered. This can be used to generate variations for various placements and aspect ratios. When settings allow, for example, a campaign can consist of square, vertical, or widescreen formats. Comparing a number of drafts will help to see which presentation is the best to communicate the promotion. Ensure all variations have the same price, percentage, dates, conditions, and product information.

Make the Offer Visually Obvious Through Text and Motion

Black Friday videos require a strong visual hierarchy, as viewers may only look at them for a short amount of time. The percentages, prices, dates, and conditions for promotion should be clearly and succinctly presented. Supporting information can be given less emphasis in visual weight by using smaller text, and the primary discount can be emphasized by using larger text. Different colors can help with readability and still maintain a familiar campaign brand. Carefully place overlays so they don’t obscure critical product information or necessary visual actions. Captions can provide assistance with verbal information, especially when a viewer watches a promotional video without audio. Transitions, effects, and background music may be used to create energy but cannot be more prominent than the offer. Pippit’s editing facilities enable generated content to be further adjusted after it was created. Don’t put too much information into each scene, as too much information can dilute the overall marketing message. Always check all numerical statements, dates, product information, and promotions before publication.

Refine Black Friday Videos Before They Go Live

While AI generation can speed up production, each promotional draft should be carefully reviewed as part of the quality control process. Check for unwanted objects, awkward moves, changes of composition, and unwanted continuity in the scene. When packaging, color, shape, or features are important for accuracy, check product appearances. Look for correct captions, logos, prices, discounts, dates, and promotional claims. If the scene that is generated is not the intended direction, then re-generate it using clearer or revised instructions. Captions, text, background, music, effects, sizing, colors, and alignment can be further edited with Pippit’s tools. Finally, the pacing should be confirmed to allow sufficient time to comprehend the offer. Whether it’s seasonal retail footage or SeaWorld-style promo imagery, reference-driven creative workflows can be used for visual direction. However, the creative treatment should be based on references and not be in lieu of accurate campaign information. Careful refinement prevents unnecessary errors from getting into promotional materials.

Prepare Black Friday Promo Spots for Fast Publishing

When the promotional video is ready to be used in the campaign, make each version ready for its distribution channel. Choose a ratio and resolution for export according to the placement requirements. Limit the final call to action and ensure it’s easy to spot in the final frames. Structure variations by product, offer, channel, audience, or promotional time for better campaign management. Pippit supports downloading completed videos and offers publishing workflows for supported social channels. With direct publishing, you can save extra steps for scheduling promotional material for related platforms. Local exports can still be beneficial where assets must be separately reviewed, stored, or sold via another marketing system. Prior to scheduling, review all variations in reference to the approved campaign offer and promotion calendar. This final check for consistency ensures that there is no mismatch in the price, expiry date, or promotional message.

Conclusion

Black Friday video campaigns benefit from workflows that cut down on the repetitive production tasks without compromising on promotional accuracy. Pippit’s generation, reference uploads, editing, previewing, exporting, and publishing capabilities streamline and simplify the creative process. Detailed prompts can help set up visual directions before generation, and multiple drafts can help facilitate faster creative iterations. Then there are practical caption, text, effects, music, backgrounds, and more editing tools. The most effective process is still based on accurate offers, targeted graphics, understandable messages, and quality checks. Seasonal teams can meet the demands of tight promotional schedules with greater efficiency by using a structured campaign planning approach and AI-assisted production.

People first get an impression of an image through the color and mood before looking at the details. Warm highlights can help to create intimacy, and cool shadows can add mystery or emotional distance. The careful balance also enhances storytelling, visual identity, and artistic expression. With Dreamina AI, image generation and editing come together, allowing creators to delve into different styles with detailed prompts and reference images. Instead of using abstract terms, you can specify colors, contrast, lighting, and artistic treatments. This helps to establish a clearer visual path and make every generation more conscious.

Understand the Relationship Between Color Palettes and Visual Mood

Each palette evokes a different sense, depending on the context in which it is used. Reds, oranges, and yellows are colors that frequently evoke energy, excitement, nostalgia, and intimacy. The color blue and teal can evoke feelings of calmness, isolation, mystery, or future sophistication. Muted colors add a softness, melancholy, and understated elegance, whereas saturated colors draw attention to themselves by being intense. But emotion isn’t always defined by color. Interpretation is also affected by lighting, subject matter, composition, and adjoining colors. With Dreamina AI, you can dive into these connections and convert descriptive prompts into various visual treatments.

Build a More Precise Color Vocabulary for AI Image Prompts

When using colour language, image-generation models are better equipped with precise directions for their creative work. Use dusty rose, slate blue, ochre, sage green, or deep burgundy in place of beautiful colors. Explain if the colors should be light, subdued, intense, or rich. Monochromatic palettes play with tonal variations of a single color to produce depth. Complementary colors (blue and orange, for example) provide more contrast, and analogous colors (blue and green, for example) provide smoother transitions. The use of metallic accents, neutral backgrounds, and subtle highlights creates a sense of hierarchy and depth without overpowering the composition. A proficient AI Image generator can convert a defined aesthetic into an image by interpreting these details, along with the description of the subjects, lighting directions, and references provided.

How to Describe Mood and Palette in a Style-Savvy AI Image Generator with Dreamina?

Step 1: Describe Your Mood and Palette in a Prompt

• Sign up or log in to Dreamina first, so you can start building your visual.
• Head to the “Create” tab in the left menu, then pick the “AI Image” option.
• Enter a detailed text prompt that describes the mood and palette you want to see. Add details on image elements, theme, and concept, such as soft amber and dusty teal.

• Step 2: Pick the Model and Style Settings
• Choose the image model from the options present at the bottom of the dialogue box.
• Pick Seedream, GPT Image, or Nano Banana, depending on which model suits your palette best.
• Provide a reference image to Dreamina, so your final colors look more precise and natural.
• Next, select a custom aspect ratio and resolution from the “Aspect ratio” and “Resolution” tabs.
• Pick the number of images using “Images to generate”, then set custom sizes in “Dimensions”.
• To add text to the image, you can use the “Draw text on image” tab.
• Finally, click the “Generate” tab to begin the creation process and watch your palette appear.

• Step 3: Refine the Mood and Export the Image
• You will receive the required number of image drafts, each showing a different color mood. If the palette feels off, choose “Edit prompt” or “Regenerate” to refine the generated results.

• You can also sharpen the finished palette by upscaling it with the “Creative upscale” option.
• Tap “Retouch” to correct, clean up, or enhance details of the selected image, if needed.
• Use “Remove” to delete anything from your image, or use “Expand” to widen the frame.
• You can convert your newly created image into video content through the “Generate video” tab.

• Dreamina gives you complete freedom to edit your palette and mood the way you like.
• Finally, click the “Download” tab at the top right of the interface to begin saving. It saves the final image file on your local device so that you can share it.

• Six Ways to Describe Mood and Palette More Effectively
• Certain color pairs, contrast, and light can be more helpful prompts than general aesthetic terms. Here are six ideas that can serve as a starting point for various creative directions.
• Cinematic Warmth: Ask for warm, high-keyed highlights, low-keyed brown shadows, and soft, directional lighting. Restrained saturation is used to avoid an overly orange scene.
• Pastel Serenity: Soft lavender, powder blue, and creamy white with subtle contrast. Diffused lighting helps to create a calming ambiance.
• Moody Editorial: Go with charcoal, burgundy, and muted olive tones with subtle highlights. The tonal separation is good, creating drama and retaining details.
• Retro Nostalgia: Mix vintage mustard, terracotta, and teal with a subtle film-inspired texture. Describe the vintage treatment to be used instead of just “retro.”
• Futuristic Contrast: Combine electric cyan with a violet or dark graphite. There are no overpowering visual details, and there are selective glow effects and clear points of focus.
• Natural Sophistication: Mix sage green, warm beige, clay, and soft natural shadows. The textures are realistic, and the lighting is balanced, resulting in a subtle and elegant look.
• Match Palette Choices to Different Creative Applications
• Projects will have different color strategies. Palettes that work well with packaging and maintain image details and edges are useful for product imagery. For editorial portraits, you can match clothing, background colors, and accent colors to create a familiar feel. Unusual combinations, atmospheric gradients, and luminous highlights are all achieved with fantasy illustrations. Repeatable palettes that link related posts across social platforms for social graphics. Posters and promotional artwork must be of greater contrast so as to direct focus to key messages. The Dreamina AI AI-powered toolkit caters to these applications with diverse image styles, customisable prompts, and reference-based creation.
• Refine Generated Colors Without Losing the Original Creative Direction
• Sometimes, images that are generated contain too much saturation, too dark or too light shadows, unexpected color casts, or uneven highlights. Correct these issues by changing one prompt variable at a time. For instance, ask for lighter tones in a particular color scheme. Images can help illustrate more complex connections that words don’t convey. Additionally, Dreamina AI provides a series of editing tools for targeted adjustments, enabling specific areas to be altered without the need for rebuilding all the elements. Check the results at thumbnail size to assess the overall effect, then check the desired output size for more detail. Resolution is not a solution to inaccurate colour or visual artefacts.
• Maintain a Consistent Visual Identity Across Multiple Images
• A reusable palette helps to link images produced for the same brand, campaign, or creative project. Before creating variations, specify primary, secondary, background, and accent colors. Maintain uniformity in the description of lighting, saturation, and contrast levels throughout prompts. The same frame and background can be used to reinforce continuity between related images. Dreamina AI allows one to explore visual variations and iterate on prompts, all in the context of a common visual style. But the same words do not always yield the same results, so check each generation before adding to a collection.
• Conclusion
• Defining colors precisely allows you to convert general artistic concepts into more deliberate image prompts. Colors, hues, lighting details, and color relationships convey emotion more effectively than do general style names. Dreamina AI helps you with this process by providing image creation, reference inputs, and specific editing features. Try out various palettes, make comparisons, and tweak details until the visual direction is unified. Over time, a particular color language can help you make creative choices and reinforce your image identity.