{"id":154813,"date":"2026-04-24T07:22:17","date_gmt":"2026-04-24T07:22:17","guid":{"rendered":"http:\/\/aryasamaj.co\/?p=154813"},"modified":"2026-04-24T07:48:26","modified_gmt":"2026-04-24T07:48:26","slug":"youtube-mass-report-bot-risks-and-how-to-protect","status":"publish","type":"post","link":"http:\/\/aryasamaj.co\/index.php\/2026\/04\/24\/youtube-mass-report-bot-risks-and-how-to-protect\/","title":{"rendered":"YouTube Mass Report Bot Risks and How to Protect Your Channel"},"content":{"rendered":"<p>Eliminate toxic channels and spam content at scale with the ultimate <strong>YouTube Mass Report Bot<\/strong>\u2014your automated weapon for cleaning up the platform fast. This powerful tool streamlines bulk reporting, targeting rule-breaking videos and comments in minutes. Take control of your feed and help enforce community guidelines effortlessly.<\/p>\n<h2>Defining Bulk Reporting Tools for Video Platforms<\/h2>\n<p>Bulk reporting tools for video platforms let you handle many content issues at once, saving you from flagging each problematic video individually. These systems are perfect for managing large channels or cleaning up spammy comments. Instead of clicking through tons of clips, you can select a batch and apply a single reason\u2014like copyright infringement or hate speech. This speeds up moderation dramatically, which is crucial for keeping your community safe. <strong>Efficient content moderation<\/strong> here means you can maintain standards without the headache of manual work. Think of it as a power-up: you set the rules, and the tool shoots out reports in bulk. For creators or managers dealing with thousands of uploads, it\u2019s a total game-changer for maintaining platform health and <strong>streamlined compliance<\/strong>.<\/p>\n<h3>What These Automated Scripts Actually Do<\/h3>\n<p><strong>Bulk reporting tools<\/strong> for video platforms let you flag multiple videos at once, saving hours of manual clicking. Instead of reporting one problematic clip at a time, you upload a list of URLs or select videos in batches. This is a game-changer for moderators, creators, or rights holders who need to enforce community guidelines or copyright rules quickly. You can typically set a consistent reason\u2014like spam or hate speech\u2014for the entire batch. Many tools also <mark>automate follow-ups<\/mark>, tracking the status of each flagged video without you chasing them individually. Think of it as a shortcut that keeps your channel or community cleaner, faster, and less frustrating. Whether you&#8217;re cleaning up old uploads or managing a busy brand account, this feature turns a tedious task into a few clicks.<\/p>\n<h3>Distinguishing Between Legitimate Flagging and Abusive Automation<\/h3>\n<p>Bulk reporting tools for video platforms enable content moderators and channel managers to flag multiple videos or comments simultaneously, rather than processing them one by one. These systems aggregate user-generated content into a queue, allowing for <mark>automated flagging<\/mark> based on rules like spam patterns, copyright claims, or policy violations. <strong>Video moderation workflows<\/strong> benefit from these tools because they reduce manual review time while maintaining oversight. Common features include <\/p>\n<ul>\n<li>batch selection by date, view count, or keyword<\/li>\n<li>pre-configured report templates<\/li>\n<li>audit logs for accountability<\/li>\n<\/ul>\n<p> By streamlining such tasks, platforms can enforce community guidelines faster and scale their moderation efforts without proportional staffing increases.<\/p>\n<h2>The Technical Mechanics Behind Coordinated Flagging<\/h2>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"565\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/QRDuiMJYbKY\" frameborder=\"0\" alt=\"Youtube Mass Report Bot\" allowfullscreen><\/iframe>\n<\/div>\n<p>Coordinated flagging is a digital siege tactic, leveraging swarms of users to weaponize platform reporting systems. The technical mechanics rely on automated scripts or organized human networks that simultaneously submit abuse reports on a target post. This manipulates the platform\u2019s trust and safety algorithms, which often prioritize report volume over nuanced analysis, triggering automatic content removal or account suspension before any genuine human review. These scripts can rotate IP addresses, vary report language to avoid pattern detection, and exploit different categories of violations to hit multiple site policies. The entire operation is designed to circumvent rate limits and create a false positive avalanche, effectively silencing speech without direct censorship. Understanding this is crucial for developing robust <strong>content moderation<\/strong> systems that distinguish between organic user feedback and synthetic attacks. This threat underscores the need for <strong>algorithmic fairness<\/strong> in defending against digital mob rule.<\/p>\n<h3>How Bots Exploit Platform API Endpoints<\/h3>\n<p>Coordinated flagging operates like a silent, automated jury. A network of users, often in a private chat or forum, receives a signal\u2014a &#8220;signal to act.&#8221; Within seconds, dozens of them navigate to a specific post and click the &#8220;report&#8221; button simultaneously. This spike in reports bypasses standard moderation queues, triggering an algorithm that prioritizes complaints based on volume. <strong>Automated report brigades exploit these thresholds<\/strong> to bury content instantly. The mechanics rely on precise timing and pre-agreed targets: a single URL is all it takes. Each flag adds a digital weight, and the system, built to detect abuse, can mistake a crowd for consensus. The target never sees the hammer coming\u2014only the shadow it leaves.<\/p>\n<h3>Common Triggers Used in Mass Reporting Attempts<\/h3>\n<p>Coordinated flagging hinges on a distributed network of automated scripts and manual actors operating in unison. These scripts, often triggered by a shared signal from a discord server or private forum, execute pre-defined interactions\u2014such as rapid-fire &#8220;report&#8221; submissions\u2014against a target post or account. The technical mechanism exploits platform rate limits by staggering flagging intervals to avoid triggering anti-abuse filters, while simultaneously using VPN-rotated IP addresses to mask the origin of each action. This orchestration creates a deceptive appearance of legitimate user sentiment, rapidly tanking a target\u2019s visibility or triggering automated suspension protocols. <strong>The core technical challenge lies in evading behavioral detection<\/strong> through randomized timing and proxy management, making the attack appear organic rather than automated.<\/p>\n<h3>Detection Methods for Automated Complaint Systems<\/h3>\n<p>Coordinated flagging is not spontaneous outrage but a premeditated digital siege. It relies on bot networks and private chat channels where users share timestamped links and uniform report reasons, overwhelming platform algorithms into treating a single post as a verified violation. <strong>Automated report flooding exploits trust thresholds<\/strong> by hitting a trigger count\u2014often under 24 hours\u2014before human moderators can review context. The mechanics break down simply: first, a target is identified in a closed forum; second, a template accusation is distributed (e.g., &#8220;hate speech&#8221; or &#8220;spam&#8221;); third, reports are spammed from multiple accounts, often using VPNs to mask IP patterns. Once the threshold is crossed, the system auto-hides or deletes the content, often without appeal. The true skill lies in timing and volume\u2014striking when moderation queues are longest, typically late at night or during holidays. This turns a platform&#8217;s own safety tools into weapons of censorship.<\/p>\n<h2>Legal Ramifications for Operating Automated Takedown Systems<\/h2>\n<p>Operating automated takedown systems without strict legal oversight exposes your organization to significant liability. Under frameworks like the DMCA in the U.S., a service provider must implement a <strong>careful human review process<\/strong> to avoid issuing false claims. Automated tools that erroneously target fair use or licensed content can lead to counter-notifications and lawsuits for misrepresentation. Furthermore, failing to properly <strong>handle repeat infringer policies<\/strong> may strip you of safe harbor protections. Expert advice is to always validate algorithmic outputs against the legal standard of good faith\u2014automation streamlines volume, but the legal responsibility for each takedown remains squarely on the operator.<\/p>\n<h3>Violation of Computer Fraud and Abuse Laws<\/h3>\n<p>Operating an automated takedown system without rigorous human oversight invites severe legal liability, particularly under the Digital Millennium Copyright Act (DMCA). <strong>Improper automated takedowns can trigger perjury claims and damages for wrongful removal<\/strong>. If the system falsely flags content as infringing, the operator risks counter-notices, lawsuits for material misrepresentation, and potential statutory damages. Key legal pitfalls include: failure to consider fair use, targeting content lacking proper identification of copyrighted work, or ignoring safe harbor requirements for platforms. Courts increasingly view blind automation as reckless, especially when political speech or critical commentary is removed. Entities managing such systems must implement procedural safeguards to avoid abusive censorship claims, preserve service immunity, and navigate fragmented international copyright laws\u2014or face tribunal orders to restore content and pay sanctions.<\/p>\n<h3>Platform Terms of Service Breaches<\/h3>\n<p>Operating automated takedown systems without strict legal oversight invites serious repercussions. Under the <strong>Digital Millennium Copyright Act (DMCA)<\/strong>, entities that deploy automated bots to issue takedowns must ensure accuracy, as submitting fraudulent or uninformed claims can lead to liability for damages, including court costs and lost revenue for the affected party. The law does not tolerate &#8220;shotgun&#8221; approaches; each notice must be based on a good-faith belief that the material is infringing.<\/p>\n<blockquote><p>Automated takedown tools do not grant immunity\u2014every false claim carries the weight of a sworn affidavit.<\/p><\/blockquote>\n<p>Beyond copyright, abusive use of automated systems may violate <strong>anti-competitive trade practices<\/strong> or the Computer Fraud and Abuse Act, especially if bots manipulate platforms in bad faith. To mitigate risks, operators should:<\/p>\n<ul>\n<li>Implement manual review checkpoints for flagged content<\/li>\n<li>Maintain detailed logs of all automated actions<\/li>\n<li>Establish a rapid counter-notice procedure for errors<\/li>\n<\/ul>\n<h3>Potential Criminal Penalties for Orchestrated Abuse<\/h3>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"606px\" alt=\"Youtube Mass Report Bot\" 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\"\/><\/p>\n<p>When Elena launched her automated takedown system to scrub stolen content from the web, she didn\u2019t realize her script was flagging parody accounts. Within weeks, a cease-and-desist arrived. The <strong>legal liability for automated copyright enforcement<\/strong> can crush innovators who overstep. Courts in several jurisdictions now treat aggressive, unfiltered bots as tools for harassment or false DMCA claims, exposing operators to:<\/p>\n<ul>\n<li><strong>Statutory damages<\/strong> for wrongful takedown notices under the DMCA, often $2,500 per false claim.<\/li>\n<li><strong>Section 230 carve-outs<\/strong> if the bot acts as a &#8220;publisher&#8221; rather than a neutral filter.<\/li>\n<li><strong>FTC penalties<\/strong> for deceptive automated behavior that suppresses fair use.<\/li>\n<\/ul>\n<p>Elena\u2019s story ended with a settlement, her system rebuilt with human review protocols. She learned that automation, without clear legal accountability, can silence critics and drain a startup\u2019s resources overnight.<\/p>\n<h2>Impact on Content Creators and Channel Ecosystems<\/h2>\n<p>The rise of algorithm-driven platforms has fundamentally reshaped the game for content creators, turning channel ecosystems into high-stakes battlegrounds for visibility. Consistency is no longer just a virtue\u2014it&#8217;s a survival tactic, as the mysterious feed now dictates who gets seen and who gets buried. This puts immense pressure on creators to churn out videos daily, often prioritizing quantity over genuine connection, which can lead to burnout. For a new channel, breaking through the noise feels impossible without mastering <strong>SEO optimization<\/strong> in titles, tags, and descriptions. Meanwhile, established channels must constantly adapt to shifting trends or risk being dropped by the algorithm. The result is a fractured landscape where the <mark>organic reach<\/mark> that once built communities is now a rare commodity, forcing creators into a relentless cycle of analytics, thumbnails, and keyword strategy just to stay afloat. This dependency ultimately ties their financial stability to the whims of a single tech giant, making the entire ecosystem fragile and creator dependency high.<\/p>\n<h3>False Strikes and Unfair Demonetization Risks<\/h3>\n<p>The algorithmic pivot felt like a seismic shift under the feet of small creators. After years of building loyal mini-ecosystems, they watched their carefully cultivated reach dwindle overnight as the platform prioritized viral &#8220;talking head&#8221; clips. Suddenly, their deep-dive repair tutorials and niche craft circles were buried by a flood of generic, polished content. The community that once thrived on shared expertise fractured. Some creators adapted, dumbing down their work for the algorithm, while others abandoned their channels entirely. <strong>The creator economy splintered into a silent graveyard of abandoned passion projects.<\/strong><\/p>\n<h3>Disruption of Community Guidelines Enforcement<\/h3>\n<p>Algorithm shifts dramatically affect content creators and their channel ecosystems by forcing rapid adaptation or <a href='https:\/\/elitesolutionsexpert.com\/blog\/youtube-mass-report-bot\/'>Youtube Mass Report Bot<\/a> risking obsolescence. <strong>YouTube algorithm changes<\/strong> often devalue established video formats while promoting short-form content, disrupting entire niches built on long-form tutorials or deep dives. Creators must pivot distribution strategies across platforms like Instagram, TikTok, and podcasts to stabilize revenue. This volatility directly impacts channel ecosystems: loyal subscribers may fragment when expected content types vanish, while new competitors gain ground by exploiting fresh algorithm preferences. Savvy creators now diversify their content mix and revenue streams\u2014such as memberships or merchandise\u2014to insulate their channel\u2019s health from single-platform algorithm whims. The ecosystem survival hinges on agility, not past success.<\/p>\n<h3>Long-Term Reputational Harm to Innocent Channels<\/h3>\n<p>The rapid integration of generative AI is fundamentally reshaping content creator workflows and channel ecosystems, demanding adaptation for survival. <strong>The shift toward algorithm-driven, automated content production<\/strong> now forces creators to compete with AI-generated media, compressing monetization timelines and devaluing original craftsmanship. Smaller channels face existential pressure as platforms prioritize <mark>recommendation engine bait<\/mark> over creator-driven narratives, homogenizing niche communities. This new landscape requires a strategic pivot: <\/p>\n<ol>\n<li>Leveraging AI as a production assistant, not a replacement<\/li>\n<li>Doubling down on authentic, <strong>unique human perspective<\/strong> to cut through synthetic noise<\/li>\n<li>Diversifying revenue beyond platform-dependent ad shares<\/li>\n<\/ol>\n<p> The ecosystem now rewards those who blend algorithmic efficiency with irreplaceable human insight, leaving passive creators behind.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"601px\" alt=\"Youtube Mass Report Bot\" 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\"\/><\/p>\n<h2>Platform Countermeasures Against Automated Attacks<\/h2>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"607px\" alt=\"Youtube Mass Report Bot\" 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\"\/><\/p>\n<p>Modern platforms deploy a multi-layered defense against automated attacks, from simple bots to sophisticated credential-stuffing scripts. The first line is often a CAPTCHA, which challenges automated requests with tasks humans find trivial. More advanced methods include rate limiting, which throttles IP addresses making too many requests in a short time, and behavioral analysis that flags non-human mouse movements or page interaction patterns. <strong>Web application firewalls (WAFs)<\/strong> are crucial, filtering malicious payloads like SQL injection attempts. For login forms, <strong>multi-factor authentication (MFA)<\/strong> adds a critical layer that bots can&#8217;t bypass. Platforms also employ JavaScript challenges that bots fail to render, and device fingerprinting to block known fraudulent profiles. These countermeasures collectively ensure user experience remains smooth while keeping automated abuse in check.<\/p>\n<p><strong>Q: Why isn&#8217;t one CAPTCHA enough anymore?<\/strong> A: Simple. Modern AI can solve basic text or image CAPTCHAs with over 90% accuracy. That&#8217;s why platforms now use behavioral analysis and invisible challenges that work in the background.<\/p>\n<h3>Machine Learning Filters for Anomalous Reporting Patterns<\/h3>\n<p>Automated attacks, like credential stuffing and bot-driven scraping, can cripple a platform&#8217;s performance and security. To fight back, the first line of defense is often <strong>rate limiting that throttles suspicious traffic<\/strong>. This prevents bots from flooding login endpoints or APIs by slowing down requests from a single IP address. Adding CAPTCHAs\u2014especially invisible ones that don&#8217;t annoy real users\u2014adds another layer, blocking scripts while letting humans pass. For tougher cases, Web Application Firewalls (WAFs) can analyze traffic patterns in real time, spotting and dropping bot-like behavior before it reaches your servers. While no single fix is perfect, combining these measures keeps automated threats at bay without ruining the experience for your genuine users.<\/p>\n<h3>Rate Limiting and Captcha Implementation<\/h3>\n<p>To defend against automated attacks, <strong>deploy multi-layered platform countermeasures<\/strong> that block scripted abuse without disrupting legitimate users. Start with rate limiting on critical endpoints (login, account creation) using IP-based and behavioral heuristics. Implement CAPTCHA (v2\/v3) or proof-of-work challenges for high-risk actions, but avoid user friction by escalating challenges only after suspicious patterns emerge. Use Web Application Firewalls (WAF) with bot detection rules, and employ browser fingerprinting to identify headless browsers or automated frameworks like Selenium. For API protection, enforce token-based authentication coupled with signature validation (e.g., HMAC) to reject spoofed requests. Finally, log failed attempts and anomaly scores, feeding them into a SIEM for dynamic rule updates.<\/p>\n<h3>Manual Review Escalation for Suspicious Batches<\/h3>\n<p>Automated attacks, from credential stuffing to bot-driven scraping, demand robust, multi-layered platform countermeasures. <strong>Rate limiting<\/strong> remains the first line of defense, throttling request frequencies from suspicious IPs. Enhanced tactics include CAPTCHA challenges for high-risk actions, behavioral analytics to distinguish bots from humans, and Web Application Firewalls (WAFs) that filter malicious payloads. For persistent threats, device fingerprinting and IP reputation blacklists effectively block repeat offenders. A layered defense strategy is non-negotiable for modern platforms.<\/p>\n<ul>\n<li><strong>Credential Stuffing Prevention:<\/strong> Deploy multi-factor authentication (MFA) and login anomaly detection.<\/li>\n<li><strong>Scraping Mitigation:<\/strong> Use obfuscated API endpoints, honeypot links, and dynamic HTML rendering.<\/li>\n<li><strong>DDoS Protection:<\/strong> Integrate CDN-based scrubbing centers and auto-scaling infrastructure.<\/li>\n<\/ul>\n<p><strong>Q: Can CAPTCHA alone stop all bots?<\/strong><br \/>\nA: No. Advanced bots bypass simple CAPTCHAs. Combine it with behavioral analysis and rate limits for effective defense.<\/p>\n<h2>Ethical Gray Areas in Content Moderation Tools<\/h2>\n<p>Content moderation tools navigate significant ethical gray areas by automating decisions that require nuanced human judgment. A key challenge is balancing <strong>free expression against user safety<\/strong>; algorithms often struggle with sarcasm, satire, or cultural context, leading to the suppression of legitimate speech or the overlooking of harmful content. The use of <mark>predictive moderation<\/mark>, which flags content before publication, raises concerns about censorship and chilling effects. Furthermore, biases in training data can cause these systems to disproportionately penalize marginalized groups, while the opaque nature of algorithmic enforcement makes it difficult for users to appeal or understand decisions. These tensions highlight the fundamental difficulty of encoding complex ethical principles into rigid automated rules.<\/p>\n<h3>When Automation Becomes a Sword for Censorship<\/h3>\n<p>Content moderation tools operate in profound ethical gray areas where automated systems frequently fail. <strong>Algorithmic bias in content moderation<\/strong> relentlessly censors legitimate speech from marginalized groups while allowing hateful language to slip through due to contextual blind spots. A tool cannot grasp satire, historical reference, or cultural nuance\u2014leading to inconsistent punishment. This creates a dangerous feedback loop: <mark>over-removal<\/mark> silences dissent, while under-removal allows harm to spread. The profit-driven pressure to scale moderation inevitably sacrifices principle for efficiency. There is no neutral algorithm; every filter enforces a subjective morality.<\/p>\n<h3>The Thin Line Between Protection and Harassment<\/h3>\n<p>Effective content moderation forces platforms into constant ethical trade-offs, particularly around <strong>automated censorship and free expression<\/strong>. Algorithms designed to flag hate speech or misinformation often over-police marginalized dialects or satirical content, while under-scaling nuanced harassment. For instance, a tool might correctly remove a graphic threat but also delete a public-service health poster containing medical terms. This creates a <mark>chilling effect<\/mark> on legitimate discourse, as users self-censor to avoid false positives. Experts recommend not relying solely on automation; instead, deploy layered review systems. Key considerations include:<\/p>\n<ul>\n<li><strong>Context blindness:<\/strong> AI struggles with sarcasm, historical references, or regional slang.<\/li>\n<li><strong>Bias amplification:<\/strong> Training data skews toward dominant cultures, penalizing minority voices.<\/li>\n<li><strong>Transparency gaps:<\/strong> Users deserve clear explanations for why content was removed.<\/li>\n<\/ul>\n<p>The core challenge remains balancing harm reduction against the right to diverse, imperfect speech. Prioritize user education alongside tool refinement.<\/p>\n<h3>Responsible Use of Reporting Features by Communities<\/h3>\n<p>Content moderation tools operate in profound ethical gray areas, particularly when balancing free expression against societal harm. The reliance on automated systems to flag hate speech, misinformation, or violence often results in significant <strong>algorithmic bias in content moderation<\/strong>, disproportionately suppressing marginalized voices while allowing subtle, coded hate speech to persist. This creates a double bind: over-censorship silences legitimate debate, especially on trauma or cultural critique, while under-enforcement permits real-world harm. Furthermore, the lack of transparency in how these algorithms are trained\u2014and on whose data\u2014raises questions of accountability. Companies must decide whether to prioritize user safety through aggressive removal or defend open dialogue, knowing that every imperfect decision either erodes trust or inflicts damage. These tools are not neutral; they are inherently political, forcing platforms to choose between conflicting ethical obligations.<\/p>\n<h2>Future of Automated Moderation and Abuse Prevention<\/h2>\n<p>The future of automated moderation is shifting from rigid rule-following to nuanced, context-aware systems that understand sarcasm, memes, and cultural phrases. Advanced <strong>AI-driven abuse prevention<\/strong> will leverage real-time behavioral analysis, flagging coordinated harassment campaigns before they escalate. Instead of blanket word filters, next-generation tools will assess user history, scene context, and tone to distinguish genuine conversation from toxic attacks. This allows platforms to foster vibrant communities while dramatically reducing false positives. As these models learn from edge cases, they will proactively adapt to new slang and emerging hate symbols, making digital spaces safer without stifling authentic dialogue. The ultimate goal is an invisible, instantaneous guardian that operates as a dynamic scaffold for healthy interaction, not a blunt instrument of censorship.<\/p>\n<h3>Blockchain Verification for Authentic Reports<\/h3>\n<p>The quiet hum of AI now monitors the digital town square, learning to spot the hooligans before they even throw the first verbal stone. Tomorrow\u2019s moderation won\u2019t just flag a fight; it will predict the tension from a single, sarcastic whisper. This shift towards <strong>proactive abuse prevention<\/strong> relies on context, not just keywords. A system might now see:<\/p>\n<ul>\n<li><strong>Behavioral fingerprints:<\/strong> A user who posts three abusive comments in a row is flagged faster than the one who trips once.<\/li>\n<li><strong>Semantic nuance:<\/strong> Sarcasm and coded hate are no longer invisible.<\/li>\n<li><strong>Escalation paths:<\/strong> The AI can <mark>intervene with a calming prompt<\/mark> before a thread turns into a war zone.<\/li>\n<\/ul>\n<p>The goal is a digital space that feels less like a haunted house and more like a quiet library\u2014where the keeper already knows who is causing the trouble.<\/p>\n<h3>Behavioral Analysis to Preempt Coordinated Abuse<\/h3>\n<p>The future of automated moderation will prioritize proactive, context-aware systems that move beyond reactive filtering. <strong>AI-driven real-time analysis<\/strong> will synthesize behavioral patterns, linguistic nuance, and user reputation to predict abuse before it escalates. Expect systems to leverage large language models for nuanced understanding of sarcasm, coded hate speech, and emerging slang, drastically reducing false positives. However, the critical evolution lies in transparent escalation protocols: automated actions will always include clear human appeal paths. Key implementation priorities include:<\/p>\n<ul>\n<li>Multi-layered detection combining heuristics, machine learning, and user feedback loops.<\/li>\n<li>Granular, risk-based enforcement rather than blanket bans.<\/li>\n<li>Integrated user education nudges triggered by minor infractions.<\/li>\n<\/ul>\n<p>To succeed, platforms must treat moderation as a continuous trust-building process, not a weapon. Invest in audit trails for all decisions and publicly share moderation rationale to foster community buy-in.<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"608px\" alt=\"Youtube Mass Report Bot\" 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Reports on Automated Enforcement Actions<\/h3>\n<p>The future of automated moderation is shifting from blunt keyword filters to systems that actually understand context and intent. Thanks to advances in large language models, AI can now catch subtle harassment, sarcastic insults, and even coordinated spam campaigns without drowning genuine conversation. This means fewer false positives for creators and real-time protection for communities. Key developments include <strong>context-aware abuse prevention<\/strong> that adapts to platform culture, plus tools that spot bad actors before they strike. Look for features like:<\/p>\n<ul>\n<li><strong>Behavioral pattern analysis<\/strong> that flags users who rapidly escalate from normal to toxic.<\/li>\n<li><strong>Multimodal detection<\/strong> that scans text, images, and voice together for hidden hate.<\/li>\n<li><strong>User-controlled safety knobs<\/strong> letting audiences customize their own comfort zones.<\/li>\n<\/ul>\n<p>The goal isn&#8217;t just removing bad content\u2014it&#8217;s building environments where good conversations thrive without constant babysitting. Automation won&#8217;t replace human moderators entirely, but it will handle the grunt work so people can focus on tough edge cases.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Eliminate toxic channels and spam content at scale with the ultimate YouTube Mass Report Bot\u2014your automated weapon for cleaning up the platform fast. This powerful tool streamlines bulk reporting, targeting rule-breaking videos and comments in minutes. Take control of your feed and help enforce community guidelines effortlessly. Defining Bulk Reporting Tools for Video Platforms Bulk&hellip; <a class=\"more-link\" href=\"http:\/\/aryasamaj.co\/index.php\/2026\/04\/24\/youtube-mass-report-bot-risks-and-how-to-protect\/\">Continue reading <span class=\"screen-reader-text\">YouTube Mass Report Bot Risks and How to Protect Your Channel<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[15],"tags":[],"_links":{"self":[{"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/posts\/154813"}],"collection":[{"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/comments?post=154813"}],"version-history":[{"count":1,"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/posts\/154813\/revisions"}],"predecessor-version":[{"id":154814,"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/posts\/154813\/revisions\/154814"}],"wp:attachment":[{"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/media?parent=154813"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/categories?post=154813"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/aryasamaj.co\/index.php\/wp-json\/wp\/v2\/tags?post=154813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}