[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-youtube-s-ai-creation-tools-in-2026-disclosure-and-likeness-protection":45,"article-ads":206},{"data":4},[5,32,39],{"name":6,"slug":7,"categories":8},"Technology","tech",[9,12,16,20,24,28],{"id":10,"title":6,"slug":11},28,"technology",{"id":13,"title":14,"slug":15},37,"Creator Economy","creator-economy",{"id":17,"title":18,"slug":19},20,"Work","work",{"id":21,"title":22,"slug":23},22,"Finance","finance",{"id":25,"title":26,"slug":27},31,"YouTube Blog","youtube-blog",{"id":29,"title":30,"slug":31},21,"For newbies","for-newbies",{"name":33,"slug":34,"categories":35},"News","news",[36],{"id":37,"title":33,"slug":38},18,"quasanews",{"name":40,"slug":41,"categories":42},"Business","business",[43],{"id":44,"title":40,"slug":41},16,{"post":46,"published_news":74,"popular_news":127,"categories":197},{"title":47,"description":48,"meta_title":49,"meta_description":50,"meta_keywords":51,"text":52,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category_id":25,"links":57,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"category":67},"YouTube’s AI Creation Tools in 2026: Disclosure and Likeness Protection","YouTube is expanding AI-assisted creation in 2026, including Shorts built with a creator’s own likeness. Learn when disclosure is required and how to manage unauthorized AI depictions of your face.","YouTube AI Tools 2026: Disclosure and Likeness Rules","Learn when YouTube AI Shorts require disclosure, how labels work, and how creators can use likeness detection to manage unauthorized AI depictions.","YouTube AI tools 2026, YouTube Shorts AI, AI disclosure rules, YouTube likeness detection, synthetic content, creator policy, AI-generated video","\u003Cp>\u003Cstrong>Use YouTube’s AI tools as production aids, but disclose realistic synthetic media when it changes what viewers may believe happened.\u003C/strong> YouTube says creators will be able to make Shorts using their own likeness, while new tools help eligible creators find content in which their face appears altered or generated by AI. The rollout may vary by account, country, and eligibility.\u003C/p>\n\n\u003Cp>The practical rule is simple: if AI makes a real person appear to say or do something they did not do, alters footage of a real event or place, or creates a realistic scene that never happened, select “Yes” in YouTube Studio’s AI-use setting. YouTube says disclosure does not limit a video’s audience or affect its monetization eligibility, but repeated failure to disclose can lead to labels, content removal, or suspension from the YouTube Partner Program.\u003C/p>\n\n\u003Ch3>What YouTube announced for creators in 2026\u003C/h3>\n\u003Cp>YouTube’s January 21, 2026 priorities describe AI as a creative tool rather than a replacement for creators. In its \u003Ca href=\"https://blog.youtube/inside-youtube/the-future-of-youtube-2026/\" target=\"_blank\" rel=\"nofollow noopener\">2026 CEO letter\u003C/a>, the company said that more than one million channels used its AI creation tools daily on average in December and that creators would be able to create a Short using their own likeness, experiment with music, and produce games with text prompts.\u003C/p>\n\n\u003Cp>The same announcement links new creation features with two safeguards: labeling for realistic altered or synthetic content and tools for managing a creator’s likeness in AI-generated media. YouTube compares the likeness system with the general model of Content ID, but the comparison should not be treated as a promise that every unauthorized use will be detected or removed.\u003C/p>\n\n\u003Cp>For creators, this creates two separate workflows. The first concerns what you publish: deciding whether a Short needs disclosure. The second concerns how your face is used by others: enrolling in likeness detection where eligible, reviewing potential matches, and choosing a privacy or copyright process when a use is unauthorized.\u003C/p>\n\n\u003Ch3>When an AI-assisted Short requires disclosure\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/99Wc70ylOWP42CUDzlGO0E1mad3HjbcHf3sohp1a.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/99Wc70ylOWP42CUDzlGO0E1mad3HjbcHf3sohp1a.png\" alt=\"Creator comparing original footage with a realistic AI-altered Short before disclosure\" width=\"300\">\u003C/picture>\n\u003Cp>The trigger is realism and meaningful alteration, not the mere presence of an AI tool in your workflow. YouTube’s \u003Ca href=\"https://support.google.com/youtube/answer/14328491\" target=\"_blank\" rel=\"nofollow noopener\">current AI disclosure guidance\u003C/a> requires disclosure when content makes a real person appear to say or do something they did not do, alters footage of a real event or place, or generates a realistic scene that did not actually occur.\u003C/p>\n\n\u003Cp>A realistic AI version of you delivering a line you never recorded therefore requires disclosure, even if the script expresses your own opinion. A generated clip that makes a real location appear to contain an event that never happened falls into the same category. The useful editorial question is whether a reasonable viewer could mistake the result for an authentic person, place, event, or action.\u003C/p>\n\n\u003Cp>Not every AI-assisted edit needs a label. YouTube lists production assistance for outlines, scripts, thumbnails, titles, and infographics; caption generation; idea generation; image enhancement; audio repair; color or lighting adjustments; and minor aesthetic effects as examples that generally do not require disclosure. The platform also lists cloning your own voice for voiceovers or dubs as an example that does not require disclosure.\u003C/p>\n\n\u003Cp>The safest distinction is between \u003Cstrong>behind-the-scenes assistance\u003C/strong> and a synthetic result presented as reality. AI can help plan or polish a video without changing what happened. Once it changes the apparent speaker, action, location, or event in a realistic way, treat disclosure as required.\u003C/p>\n\n\u003Ch3>How to disclose during upload\u003C/h3>\n\u003Cp>The disclosure belongs in the upload workflow, not only in the description. In YouTube Studio, start the upload, open the details or attributes section, find “AI use,” and select “Yes” when the content contains realistic AI-generated or meaningfully AI-altered material. YouTube then adds a label for viewers.\u003C/p>\n\n\u003Cp>For photorealistic AI content, the label may also appear in the video player. Non-photorealistic or animated material may show the disclosure in the expanded description. The exact presentation can change as YouTube updates the product, so check the label on the final published Short rather than assuming that a description note is enough.\u003C/p>\n\n\u003Cp>YouTube may apply an AI label automatically to content made with its generative tools, content containing C2PA metadata, or material identified by internal systems. In many cases creators can adjust an incorrect disclosure in Studio, but YouTube says labels connected with its own AI tools, C2PA metadata, or manual review may not be editable.\u003C/p>\n\n\u003Cp>Shorts made with YouTube’s own generative effects, including Dream Track or Dream Screen, are automatically disclosed according to the current Help Center guidance. For third-party tools, the creator remains responsible for selecting the correct setting during upload.\u003C/p>\n\n\u003Ch3>What disclosure does—and does not—mean\u003C/h3>\n\u003Cp>A disclosure is a transparency signal, not an admission that a video is low quality or prohibited. YouTube states that disclosure does not limit a video’s audience or affect its eligibility to earn money. Community Guidelines still apply, however, and a label does not make harmful, deceptive, or privacy-violating material acceptable.\u003C/p>\n\n\u003Cp>YouTube can manually apply a label when undisclosed content creates a risk of misleading viewers. The platform also says creators who consistently fail to disclose realistic altered or synthetic content may face penalties, including content removal or suspension from the YouTube Partner Program.\u003C/p>\n\n\u003Cp>Do not rely on a vague description such as “some elements were made with AI.” That wording may help explain the production process, but it does not replace the required upload setting. If the synthetic change affects the apparent identity, speech, action, location, or event, make the platform disclosure first and add context in the video or description when viewers need more explanation.\u003C/p>\n\n\u003Ch3>How to use your own likeness responsibly\u003C/h3>\n\u003Cp>A Short using your own likeness can support recurring characters, localized versions, explainers, or visual experiments that would otherwise require another recording session. The creator should still control the idea, context, claims, and final edit rather than treating a synthetic avatar as an unattended content pipeline.\u003C/p>\n\n\u003Cp>Before publishing, separate three questions:\u003C/p>\n\u003Cul>\n\u003Cli>Did the tool generate or materially alter a realistic version of your face, voice, actions, or surroundings?\u003C/li>\n\u003Cli>Could a viewer reasonably believe the synthetic performance was an authentic recording?\u003C/li>\n\u003Cli>Could the video affect trust in a sensitive area such as health, news, elections, finance, or a personal accusation?\u003C/li>\n\u003C/ul>\n\n\u003Cp>If the first two answers are yes, disclose the content. If the third question also applies, add plain-language context so viewers are not asked to infer what is real from a small platform label.\u003C/p>\n\n\u003Cp>Use a review pass for facial consistency, lip movement, voice delivery, captions, and factual claims. A realistic likeness can make an incorrect statement feel personally endorsed, so approve every spoken line and every visual implication before release.\u003C/p>\n\n\u003Ch3>How likeness detection works in 2026\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/ZBorS2eie6ptxVaz9Rl5jg6cWNLwGb4DBUvLDsLv.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-right\" src=\"https://cdn.quasa.io/images/news/ZBorS2eie6ptxVaz9Rl5jg6cWNLwGb4DBUvLDsLv.png\" alt=\"Creator reviewing a potential AI likeness match and choosing a reporting action\" width=\"300\">\u003C/picture>\n\u003Cp>YouTube’s Likeness detection helps eligible creators find videos where their face appears to be altered or generated by AI. Potential matches can be reviewed in YouTube Studio, after which the creator can request removal through the privacy complaint process or choose another available action.\u003C/p>\n\n\u003Cp>The feature is currently experimental and is not available in some countries. Creators must be over 18, have the required channel permissions, and complete verification with a government-issued ID and a brief face video. YouTube says the system currently detects visual matches of enrolled creators’ faces; audio detection is planned for a future expansion, so suspected unauthorized voice use should be reported through the privacy process.\u003C/p>\n\n\u003Cp>Detection works through a one-time search of newly uploaded videos for potential matches. It may also surface genuine footage of the enrolled creator rather than synthetic material. In that case, privacy removal may not apply; YouTube says an unauthorized use of original copyrighted footage may instead require a copyright removal request after considering fair use, public domain, or another exception.\u003C/p>\n\n\u003Cp>Setup is available in YouTube Studio for eligible accounts: open Content detection, choose Likeness, and select Start now. After verification, potential matches appear under the review area, where you can inspect the video and choose whether to submit a likeness removal request, a copyright request, or archive the result.\u003C/p>\n\n\u003Ch3>What to review before enrolling\u003C/h3>\n\u003Cp>Likeness detection can reduce the time needed to find deepfakes, but it is not a complete monitoring system. YouTube warns that the experimental feature can miss altered or AI-generated videos, and it only identifies likenesses for creators who have enrolled and provided a reference.\u003C/p>\n\n\u003Cp>Enrollment also creates a meaningful data and consent trade-off. YouTube says it processes the verification video, images of your face from uploaded content, and a likeness template to detect matches. The company says this information can be stored internally for up to three years from the last YouTube sign-in unless you withdraw consent or delete your account; the government ID is stored in the Payments Profile.\u003C/p>\n\n\u003Cp>Use the following decision points:\u003C/p>\n\u003Cul>\n\u003Cli>Enroll sooner if your face is central to your business or frequently appears in public videos.\u003C/li>\n\u003Cli>Read the consent terms carefully if you are uncomfortable providing ID, a selfie video, or biometric reference data.\u003C/li>\n\u003Cli>Keep an external record of suspicious URLs, upload dates, screenshots, and the specific way a video uses your likeness.\u003C/li>\n\u003Cli>Obtain clear permission before enrolling collaborators or publishing an AI-generated performance resembling another person.\u003C/li>\n\u003C/ul>\n\n\u003Cp>Do not confuse detection with ownership. Finding a match does not automatically prove infringement, and the appropriate response depends on whether the video is synthetic, unauthorized footage, parody, commentary, or another protected use.\u003C/p>\n\n\u003Ch3>A practical publishing workflow for AI Shorts\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/RtVpIY8e6UzkeDhVYy7AcT7LMugdPxT0QI5GfqHs.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/RtVpIY8e6UzkeDhVYy7AcT7LMugdPxT0QI5GfqHs.png\" alt=\"Documented production workflow for reviewing an AI-assisted Short before publishing\" width=\"300\">\u003C/picture>\n\u003Cp>A repeatable workflow makes compliance easier than trying to reconstruct AI use after publication.\u003C/p>\n\u003Col>\n\u003Cli>\u003Cstrong>Record the source.\u003C/strong> Save the original footage, voice recording, prompt, generation settings, and edit version.\u003C/li>\n\u003Cli>\u003Cstrong>Mark synthetic elements.\u003C/strong> Note whether AI changed a face, voice, action, location, event, music track, or background. Separate minor enhancement from realistic alteration.\u003C/li>\n\u003Cli>\u003Cstrong>Check consent and rights.\u003C/strong> Confirm permission for every recognizable person and clearance for third-party footage, music, voices, and likenesses.\u003C/li>\n\u003Cli>\u003Cstrong>Run a realism test.\u003C/strong> Ask whether a viewer could mistake the result for an authentic recording. If yes, select “Yes” for AI use in YouTube Studio.\u003C/li>\n\u003Cli>\u003Cstrong>Review the rendered Short.\u003C/strong> Look for accidental claims, misleading captions, unnatural edits, or moments where your synthetic likeness appears to endorse something you did not approve.\u003C/li>\n\u003Cli>\u003Cstrong>Document the published state.\u003C/strong> Keep the final file, disclosure decision, description language, and any platform-generated label in your production archive.\u003C/li>\n\u003C/ol>\n\n\u003Cp>This record also helps when YouTube’s automated systems apply a label. You can compare the platform’s decision with your production notes and correct the status where YouTube allows it.\u003C/p>\n\n\u003Ch3>Common mistakes that create avoidable risk\u003C/h3>\n\u003Cp>The first mistake is treating “AI-generated” as the only relevant category. YouTube’s rule also covers realistic altered content, so a video made mostly from live footage can require disclosure if AI changes the apparent words or actions of a real person.\u003C/p>\n\n\u003Cp>Another mistake is assuming that using your own face eliminates transparency concerns. Your likeness may be available for you to license, but viewers can still be misled about whether a statement was actually recorded. If another person appears in the generated result, their permission and the surrounding context matter as well.\u003C/p>\n\n\u003Cp>Creators also overestimate automated protection. Likeness detection is experimental, focused on enrolled faces, and currently visual rather than audio-based. Maintain your own search and reporting process, especially for sponsored campaigns, major launches, or videos likely to be copied outside your channel.\u003C/p>\n\n\u003Cp>Finally, do not scale repetitive AI output merely because the tools make production faster. YouTube says it is building on existing systems to reduce low-quality, repetitive content. A human editorial decision—original premise, useful information, meaningful performance, and a defensible final cut—remains the safer foundation for a monetized channel. For related monetization context, review \u003Ca href=\"https://quasa.io/media/youtube-inauthentic-content-policy-three-categories-for-demonetization\" target=\"_blank\" rel=\"nofollow noopener\">YouTube’s inauthentic-content categories\u003C/a>.\u003C/p>\n\n\u003Ch3>What to do next\u003C/h3>\n\u003Cp>As of July 21, 2026, operate on three assumptions: disclose realistic synthetic changes, verify feature availability in your own Studio account, and treat likeness detection as an optional protection layer with eligibility and data-consent trade-offs. YouTube’s policy pages and product rollout notices can change, so recheck them before publishing a campaign built around a synthetic version of your face or voice.\u003C/p>\n\n\u003Cp>For your next AI-assisted Short, keep the original assets, obtain permissions, complete the realism test, select the correct AI-use setting, and watch the published video as a viewer would. This gives you a documented process for using new creation tools while keeping audience clarity and creator control in view.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/youtube-inauthentic-content-policy-three-categories-for-demonetization\">YouTube Inauthentic Content Policy: Three Categories for Demonetization\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/how-to-appeal-youtube-demonetization-from-inauthentic-content-flags\">How to Appeal YouTube Demonetization from Inauthentic Content Flags\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/why-youtube-is-harder-for-new-creators-in-2026-and-how-to-succeed\">Why YouTube Is Harder for New Creators in 2026 and How to Succeed\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/creators-as-the-new-hollywood-studios-on-youtube-in-2026\">Creators as the New Hollywood Studios on YouTube in 2026\u003C/a>\u003C/li>\n\u003C/ul>","youtube-s-ai-creation-tools-in-2026-disclosure-and-likeness-protection","2026-07-21T22:09:03.000000Z","2026-07-22T07:02:00.000000Z","22.07.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/UjZFZHvxNMy79JQRQe9VDvTybg9Wcr8xKAXz5BTs.png","https://cdn.quasa.io/images/news/UjZFZHvxNMy79JQRQe9VDvTybg9Wcr8xKAXz5BTs.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/UjZFZHvxNMy79JQRQe9VDvTybg9Wcr8xKAXz5BTs.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/UjZFZHvxNMy79JQRQe9VDvTybg9Wcr8xKAXz5BTs.webp","large",null,17,0,"en",{"id":25,"title":26,"slug":27,"meta_title":68,"meta_description":69,"meta_keywords":70,"show_on_homepage":71,"deleted_at":63,"created_at":72,"updated_at":73,"lang":66},"YouTube Tools, Monetization and Channel Growth | QUASA","YouTube news and practical tools for creators, video production, channel growth and monetization.","YouTube, creators, monetization, channel growth, video",false,"2024-08-30T04:54:10.000000Z","2026-07-16T20:17:45.000000Z",[75,87,100,112,124],{"title":76,"description":77,"slug":78,"created_at":54,"publish_at":79,"formatted_created_at":56,"category":80,"links":81,"view_type":62,"video_url":63,"views":86,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"MrBeast’s Private Wedding: What Creators Can Learn from His Low-Key Approach","MrBeast’s July 2026 wedding to Thea Booysen shows how creators can protect personal boundaries while maintaining audience trust, publishing consistency and brand clarity.","mrbeast-s-private-wedding-what-creators-can-learn-from-his-low-key-approach","2026-07-22T09:02:00.000000Z",{"title":26,"slug":27},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/IH435bzIbb12Eh1fbf0vHirrOIk6FU7GoeYrlcfM.png","https://cdn.quasa.io/images/news/IH435bzIbb12Eh1fbf0vHirrOIk6FU7GoeYrlcfM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/IH435bzIbb12Eh1fbf0vHirrOIk6FU7GoeYrlcfM.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/IH435bzIbb12Eh1fbf0vHirrOIk6FU7GoeYrlcfM.webp",6,{"title":88,"description":89,"slug":90,"created_at":91,"publish_at":91,"formatted_created_at":56,"category":92,"links":93,"view_type":98,"video_url":63,"views":99,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"Walmart Pharmacy and the Drone Delivery Revolution: Transforming Medication Access Across America","The coming years will show whether Walmart can successfully navigate the regulatory, technical, and social challenges of drone-delivered medications.","walmart-pharmacy-and-the-drone-delivery-revolution-transforming-medication-access-across-america","2026-07-22T08:41:26.000000Z",{"title":40,"slug":41},{"image":94,"image_webp":95,"thumb":96,"thumb_webp":97},"https://cdn.quasa.io/images/news/kLvpFSBVdch5mTp0l2hE9foDJowxnGQY66eNy9KM.jpg","https://cdn.quasa.io/images/news/kLvpFSBVdch5mTp0l2hE9foDJowxnGQY66eNy9KM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/kLvpFSBVdch5mTp0l2hE9foDJowxnGQY66eNy9KM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/kLvpFSBVdch5mTp0l2hE9foDJowxnGQY66eNy9KM.webp","small",8,{"title":101,"description":102,"slug":103,"created_at":54,"publish_at":104,"formatted_created_at":56,"category":105,"links":106,"view_type":62,"video_url":63,"views":111,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"YouTube Monetization Rules in 2026: How to Avoid AI Slop","YouTube’s clarified inauthentic-content guidance targets mass-produced, repetitive, and misleading formats, including synthetic personas presented as experts on sensitive topics. This practical guide shows creators how to use AI without putting ad-re","youtube-monetization-rules-in-2026-how-to-avoid-ai-slop","2026-07-22T08:02:00.000000Z",{"title":26,"slug":27},{"image":107,"image_webp":108,"thumb":109,"thumb_webp":110},"https://cdn.quasa.io/images/news/9c5lf0DmydE5Kneefuu8NIkhwMBR2LvmzVWCEET5.png","https://cdn.quasa.io/images/news/9c5lf0DmydE5Kneefuu8NIkhwMBR2LvmzVWCEET5.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/9c5lf0DmydE5Kneefuu8NIkhwMBR2LvmzVWCEET5.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/9c5lf0DmydE5Kneefuu8NIkhwMBR2LvmzVWCEET5.webp",12,{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":116,"formatted_created_at":56,"category":117,"links":118,"view_type":98,"video_url":63,"views":123,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"iPhone 17 Pro Delivered Cooling & Camera Breakthroughs – But iPhone 18 Series Promises Foldables, Variable Apertures & Price Hikes","iPhone 17 Pro Delivered the Cooling and Camera Breakthroughs We Needed – But the Upcoming iPhone 18 Series Promises to Shake Things Up with Foldables, Variable Apertures, and a Price Hike That Might Make You Wait","iphone-17-pro-delivered-cooling-camera-breakthroughs-but-iphone-18-series-promises-foldables-variable-apertures-price-hikes","2026-07-22T07:50:53.000000Z",{"title":33,"slug":38},{"image":119,"image_webp":120,"thumb":121,"thumb_webp":122},"https://cdn.quasa.io/images/news/YcpE5TEHdbBTtW5YlIEtbMq5OUBDCxXpFbEanIZU.jpg","https://cdn.quasa.io/images/news/YcpE5TEHdbBTtW5YlIEtbMq5OUBDCxXpFbEanIZU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/YcpE5TEHdbBTtW5YlIEtbMq5OUBDCxXpFbEanIZU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/YcpE5TEHdbBTtW5YlIEtbMq5OUBDCxXpFbEanIZU.webp",13,{"title":47,"description":48,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category":125,"links":126,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},{"title":26,"slug":27},{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},[128,142,155,168,183],{"title":129,"description":130,"slug":131,"created_at":132,"publish_at":133,"formatted_created_at":134,"category":135,"links":136,"view_type":62,"video_url":63,"views":141,"likes":99,"lang":66,"comments_count":65,"is_pinned":71},"Advertising on QUASA","Quasa Media is part of the QUASA ecosystem, which drives more than 100,000 new customers to reputable brands every month.\nWe partner with businesses of all sizes to deliver highly targeted advertising that reaches motivated users across our platforms.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2026-05-15T14:33:02.000000Z","15.05.2026",{"title":33,"slug":38},{"image":137,"image_webp":138,"thumb":139,"thumb_webp":140},"https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp",83180,{"title":143,"description":144,"slug":145,"created_at":146,"publish_at":147,"formatted_created_at":148,"category":149,"links":150,"view_type":98,"video_url":63,"views":153,"likes":154,"lang":66,"comments_count":65,"is_pinned":71},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. 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You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":40,"slug":41},{"image":164,"image_webp":63,"thumb":165,"thumb_webp":165},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",80179,7,{"title":169,"description":170,"slug":171,"created_at":172,"publish_at":173,"formatted_created_at":174,"category":175,"links":176,"view_type":98,"video_url":63,"views":181,"likes":154,"lang":66,"comments_count":182,"is_pinned":71},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. 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However, this is far from the truth. Website surfing, or browsing websites for rewards, is an accessible way to earn money or cryptocurrency with just a computer or smartphone and an internet connection.One of the easiest methods to generate income in the digital space is through website surfing. 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