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1<meta name="theme-color" content="#0b0b0d"/><meta name="color-scheme" content="dark"/><title>Research · Slopster</title><meta name="description" content="The peer-reviewed findings the Slopster engine is built on, with links to every paper."/><meta property="og:title" content="Slopster"/><meta property="og:description" content="Content that performs is not written once. It is searched for."/><meta property="og:site_name" content="Slopster"/><meta property="og:type" content="website"/><meta name="twitter:card" content="summary"/><meta name="twitter:title" content="Slopster"/><meta name="twitter:description" content="Content that performs is not written once. It is searched for."/><link rel="icon" href="/favicon.ico?favicon.3fpu2ql9ns1a0.ico" sizes="256x256" type="image/x-icon"/><meta name="next-size-adjust" content=""/>
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1</head><body class="flex min-h-full flex-col"><div hidden=""><!--$--><!--/$--></div><div class="flex min-h-full flex-1 flex-col bg-background"><header class="sticky top-0 z-40 border-b border-border/60 bg-background/80 backdrop-blur supports-[backdrop-filter]:bg-background/60"><div class="mx-auto flex h-14 w-full max-w-6xl items-center justify-between px-5"><a class="inline-flex items-center gap-2 font-semibold tracking-tight" aria-label="Slopster home" href="/"><span class="relative inline-flex size-6 items-center justify-center rounded-md bg-primary text-primary-foreground"><svg viewBox="0 0 24 24" class="size-4" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M4 18 10 6l4 8 2-4 4 8"></path></svg></span><span class="text-base">slopster</span></a><nav aria-label="Primary" class="hidden items-center gap-6 text-sm text-muted-foreground md:flex"><a class="transition-colors hover:text-foreground" href="/#how-it-works">How it works</a><a class="transition-colors hover:text-foreground" href="/research">Research</a><a class="transition-colors hover:text-foreground" href="/pricing">Pricing</a></nav><div class="flex items-center gap-2"><a role="button" tabindex="0" data-slot="button" class="group/button inline-flex shrink-0 items-center justify-center border border-transparent bg-clip-padding font-medium whitespace-nowrap transition-all outline-none select-none focus-visible:border-ring focus-visible:ring-3 focus-visible:ring-ring/50 active:not-aria-[haspopup]:translate-y-px disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-3 aria-invalid:ring-destructive/20 dark:aria-invalid:border-destructive/50 dark:aria-invalid:ring-destructive/40 [&amp;_svg]:pointer-events-none [&amp;_svg]:shrink-0 hover:bg-muted hover:text-foreground aria-expanded:bg-muted aria-expanded:text-foreground dark:hover:bg-muted/50 h-7 gap-1 rounded-[min(var(--radius-md),12px)] px-2.5 text-[0.8rem] in-data-[slot=button-group]:rounded-lg has-data-[icon=inline-end]:pr-1.5 has-data-[icon=inline-start]:pl-1.5 [&amp;_svg:not([class*=&#x27;size-&#x27;])]:size-3.5" href="/login">Log in</a><a role="button" tabindex="0" data-slot="button" class="group/button inline-flex shrink-0 items-center justify-center border border-transparent bg-clip-padding font-medium whitespace-nowrap transition-all outline-none select-none focus-visible:border-ring focus-visible:ring-3 focus-visible:ring-ring/50 active:not-aria-[haspopup]:translate-y-px disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-3 aria-invalid:ring-destructive/20 dark:aria-invalid:border-destructive/50 dark:aria-invalid:ring-destructive/40 [&amp;_svg]:pointer-events-none [&amp;_svg]:shrink-0 bg-primary text-primary-foreground hover:bg-primary/80 h-7 gap-1 rounded-[min(var(--radius-md),12px)] px-2.5 text-[0.8rem] in-data-[slot=button-group]:rounded-lg has-data-[icon=inline-end]:pr-1.5 has-data-[icon=inline-start]:pl-1.5 [&amp;_svg:not([class*=&#x27;size-&#x27;])]:size-3.5" href="/signup">Get started<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-right" aria-hidden="true" data-icon="inline-end"><path d="M5 12h14"></path><path d="m12 5 7 7-7 7"></path></svg></a></div></div></header><main class="flex-1"><section class="mx-auto w-full max-w-4xl px-5 pt-20 pb-12"><div class="max-w-2xl space-y-3"><p class="text-xs font-medium tracking-wider text-primary uppercase">Research basis</p><h2 class="text-3xl font-semibold tracking-tight text-balance sm:text-4xl">What the engine is built on.</h2><p class="text-base leading-relaxed text-muted-foreground">Findings gathered through the Consensus API on 2 September 2026 that shape Slopster. 31 papers, grouped by the question they answer. Numbers in brackets refer to the list at the end.</p></div><nav aria-label="Sections" class="mt-8 flex flex-wrap gap-2 text-sm"><a href="#performance" class="rounded-full border border-border px-3 py-1 text-muted-foreground transition-colors hover:border-primary/50 hover:text-foreground">What makes short-form content perform</a><a href="#generation" class="rounded-full border border-border px-3 py-1 text-muted-foreground transition-colors hover:border-primary/50 hover:text-foreground">How to generate and judge with language models</a><a href="#learning" class="rounded-full border border-border px-3 py-1 text-muted-foreground transition-colors hover:border-primary/50 hover:text-foreground">Optimization and learning</a><a href="#trust" class="rounded-full border border-border px-3 py-1 text-muted-foreground transition-colors hover:border-primary/50 hover:text-foreground">Trust and disclosure</a><a href="#papers" class="rounded-full border border-border px-3 py-1 text-muted-foreground transition-colors hover:border-primary/50 hover:text-foreground">Papers</a></nav></section><section id="performance" class="border-t border-border/60"><div class="mx-auto w-full max-w-4xl px-5 py-14"><h2 class="text-2xl font-semibold tracking-tight">What makes short-form content perform</h2><ul class="mt-6 divide-y divide-border/60">
1<li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Curiosity and pain-point hooks raise engagement over direct informational openings, holding video length, subtitles and face visibility constant.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/023b104bf640597d856952b5d0484392/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->1<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Hook style is a first-class attribute. Generators must cover the taxonomy; judges score hook arousal explicitly.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Follower count is the strongest virality predictor on TikTok, but close-up/medium shot scale, on-screen text and point of view also carry signal.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/458e881ae6e65fd1bfc938252a67cf3d/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->2<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Shot lists specify framing; every script carries on-screen text beats.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Number of shots and image complexity have inverted-U effects on engagement; vertical format raises comments and shares; faster speech rate raises shares.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/22707d96ce005d6b971350aceb2b56b1/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->3<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>The pacing planner targets a shots-per-second band, word counts are fitted to a speech rate, and all video is 9:16.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Humor and emotion raise engagement; informative content lowers it alone but raises it when combined with personality. Narrative content has the strongest effect on purchase intent.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/2fcc77de2cad5388b365d354e1da107c/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->9<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/80cd8f036620504c97d29dedc2c98840/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->10<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/f791bae2eceb58bbaf4aa03c29cbfd18/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->11<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>The judge rubric scores a personality × information blend and narrative pull. Sales briefs are rewritten to carry both.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Muted viewing on mobile barely reduces ad effectiveness when visual storytelling carries the message. Shorter, portrait videos performed best in a 3.3M-impression field test.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/8a1d3a2df4725fab85460dadf5f8f2ad/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->19<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/9e173068299350728b2815bcede35b94/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->20<!-- -->]<!-- -->
1 </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>On-screen text is mandatory in every beat; packaging defaults to short vertical cuts.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Posting consistency relates positively to follower engagement; post frequency alone does not grow followers.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/b4db218c84105387b939be686d07ad7a/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->16<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/1cbf0030c0c259f391aa82406754be0b/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->17<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Campaigns define a cadence and the scheduler fills it with the best available candidates instead of posting everything.</p></li></ul></div></section><section id="generation" class="border-t border-border/60"><div class="mx-auto w-full max-w-4xl px-5 py-14"><h2 class="text-2xl font-semibold tracking-tight">How to generate and judge with language models</h2><ul class="mt-6 divide-y divide-border/60"><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Multi-agent debate improves factuality and reasoning over single-model output. Self-reflection suffers a degeneration of thought that a judge-adjudicated debate fixes.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/9f340342ab41509887e5a52bc07e6dd0/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->4<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/208317d4064351d0a3b0e032ccbd38de/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->5<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Refinement is an author-versus-critic debate, adjudicated by a judge from a third model family.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Heterogeneous role-specialized agents with learned consensus beat homogeneous debate by 4 to 6 points and cut factual errors by over 30%.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/7b06856adba551d69d0295f286533709/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->6<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Generation uses role-specialized authors (hook-smith, storyteller, direct-response, contrarian) across model families.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Strong judges reach about 80% agreement with humans but show position, verbosity and self-enhancement bias. Self-preference is driven by perplexity: models rate familiar text higher.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/ed9620bbd8a855909e3b9c53a7f4780f/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->7<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/ed80596b4bf35f5a96257cc63c9825b2/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->8<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/3be88f1fe8ba5fceb95543b3f72debc1/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->12<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground">
1<span class="font-medium text-foreground/80">Mechanism. </span>Judges never share a family with the author they score. Every pairing is judged in both positions and disagreements are discounted.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Generative AI improves individual creativity but collapses collective diversity.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/dc0a27ccbb705b8c81a400081feef862/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->13<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/ba9689392e4053dbb6ca165636f386ff/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->14<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/4aee9eb06c195080b9053b08e9ac93d2/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->15<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Embedding-distance constraints at the angle and population stages; near-duplicates are culled before judging.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">AI-generated imagery beat human stock imagery on click-through by up to 50% in a 173k-impression field study.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/3d3e7e923b4e547fb2d811ce6bb3dbda/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->21<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Finalists are packaged with generated imagery, voiceover and optional video.</p></li></ul></div></section><section id="learning" class="border-t border-border/60"><div class="mx-auto w-full max-w-4xl px-5 py-14"><h2 class="text-2xl font-semibold tracking-tight">Optimization and learning</h2><ul class="mt-6 divide-y divide-border/60"><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Batched Thompson sampling beats test-then-rollout for headlines by 3.69% clicks. Batch-updated bandits handle delayed rewards and delivered +6% CTR and +16% CVR in production.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/7ae2f61167995bc3984cfdc8dc06126d/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->22<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/906516a9b24050f0a96582022fdbed6c/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->23<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/86ece7b5b9bb51858dca1c455dbc7b72/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->24<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Each brand keeps Beta priors per attribute value, updated in batches from real metrics and sampled during generation.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Pre-posting virality screening reaches Precision@1% of 0.75 even though exact count prediction is not feasible.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/7d6be336fb3358f9ab48e479844834fa/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->25<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Slopster never predicts view counts. It ranks, then calibrates judge weights against realized performance per brand.</p></li><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">Multi-source burst detection gives about 36 hours of lead over native trending lists. Early detection is feasible at about 75% AUC before trending.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/1d0e144302b950ef9caec541cd078918/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->26<!-- -->]<!-- -->
1 </a><a href="https://consensus.app/papers/details/6a0cca206a7a582aab0433bf89f42cd0/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->27<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>A trend scanner runs on a schedule, scores topics by velocity, and injects relevant signals into briefs.</p></li></ul></div></section><section id="trust" class="border-t border-border/60"><div class="mx-auto w-full max-w-4xl px-5 py-14"><h2 class="text-2xl font-semibold tracking-tight">Trust and disclosure</h2><ul class="mt-6 divide-y divide-border/60"><li class="grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8"><p class="leading-relaxed">AI disclosure lowers ad credibility and intent, and the penalty is worst for high-involvement products. Human-likeness moderates the effect and persuasion knowledge can partially restore trust.<!-- --> <span class="whitespace-nowrap"><a href="https://consensus.app/papers/details/87818b609b0b5bb19ab3f39c2987dc67/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->28<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/579da6df87375e98acd58203dfcc0870/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->29<!-- -->]<!-- --> </a><a href="https://consensus.app/papers/details/eb585e43377959b3bbb0b8a687d351fd/" target="_blank" rel="noreferrer" class="numeric text-primary underline-offset-4 hover:underline">[<!-- -->30<!-- -->]<!-- --> </a></span></p><p class="text-sm leading-relaxed text-muted-foreground"><span class="font-medium text-foreground/80">Mechanism. </span>Output is written to sound like a person with a named brand voice. Disclosure is a per-workspace setting so customers can comply with platform policy.</p></li></ul></div></section><section id="papers" class="border-t border-border/60 bg-card/30"><div class="mx-auto w-full max-w-4xl px-5 py-14"><h2 class="text-2xl font-semibold tracking-tight">Papers</h2><ol class="mt-6 space-y-3"><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">1<!-- -->.</span><span><span class="text-muted-foreground">Phyoe<!-- --> (<!-- -->2026<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/023b104bf640597d856952b5d0484392/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">The Impact of Opening Hook Style on Engagement Rate in Short-form Motivational Videos on TikTok<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">2<!-- -->.</span><span><span class="text-muted-foreground">Ling et al.<!-- --> (<!-- -->2021<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/458e881ae6e65fd1bfc938252a67cf3d/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">3<!-- -->.</span><span><span class="text-muted-foreground">Xiao et al.<!-- --> (<!-- -->2024<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/22707d96ce005d6b971350aceb2b56b1/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Exploring user engagement behavior with short-form video advertising: a visual-audio perspective<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">4<!-- -->.</span><span><span class="text-muted-foreground">Du et al.<!-- --> (<!-- -->2023<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/9f340342ab41509887e5a52bc07e6dd0/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Improving Factuality and Reasoning in Language Models through Multiagent Debate<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">5<!-- -->.</span><span><span class="text-muted-foreground">Liang et al.<!-- --> (<!-- -->2023<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/208317d4064351d0a3b0e032ccbd38de/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">6<!-- -->.</span><span><span class="text-muted-foreground">Zhou et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/7b06856adba551d69d0295f286533709/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Adaptive heterogeneous multi-agent debate for enhanced educational and factual reasoning in LLMs<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">7<!-- -->.</span><span><span class="text-muted-foreground">Wataoka et al.<!-- --> (<!-- -->2024<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/ed9620bbd8a855909e3b9c53a7f4780f/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Self-Preference Bias in LLM-as-a-Judge<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">8<!-- -->.</span><span><span class="text-muted-foreground">Zheng et al.<!-- --> (<!-- -->2023<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/ed80596b4bf35f5a96257cc63c9825b2/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Judging LLM-as-a-judge with MT-Bench and Chatbot Arena<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">9<!-- -->.</span><span><span class="text-muted-foreground">Ouyang et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/2fcc77de2cad5388b365d354e1da107c/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">The Influence of Social Media Marketing on Consumers&#x27; Purchase Intention<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">10<!-- -->.</span><span><span class="text-muted-foreground">Lee et al.<!-- --> (<!-- -->2018<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/80cd8f036620504c97d29dedc2c98840/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">11<!-- -->.</span><span><span class="text-muted-foreground">S. K. V. et al.<!-- --> (<!-- -->2021<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/f791bae2eceb58bbaf4aa03c29cbfd18/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Social media advertisements and their influence on consumer purchase intention<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">12<!-- -->.</span><span><span class="text-muted-foreground">Shi et al.<!-- --> (<!-- -->2024<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/3be88f1fe8ba5fceb95543b3f72debc1/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">13<!-- -->.</span><span><span class="text-muted-foreground">Doshi et al.<!-- --> (<!-- -->2023<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/dc0a27ccbb705b8c81a400081feef862/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Generative AI enhances individual creativity but reduces the collective diversity of novel content<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">14<!-- -->.</span><span><span class="text-muted-foreground">Anderson et al.<!-- --> (<!-- -->2024<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/ba9689392e4053dbb6ca165636f386ff/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Homogenization Effects of Large Language Models on Human Creative Ideation<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">15<!-- -->.</span><span><span class="text-muted-foreground">Sourati et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/4aee9eb06c195080b9053b08e9ac93d2/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">The Homogenizing Effect of Large Language Models on Human Expression and Thought<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">16<!-- -->.</span><span><span class="text-muted-foreground">Tafesse et al.<!-- --> (<!-- -->2026<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/b4db218c84105387b939be686d07ad7a/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Steady posts, stronger bonds? Posting consistency and follower engagement<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">17<!-- -->.</span><span><span class="text-muted-foreground">Staley et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/1cbf0030c0c259f391aa82406754be0b/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Engagement and Follower Growth: Social Media Strategies of Swiss Athletes at the Paris Olympics<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"
1><span class="numeric w-8 shrink-0 text-muted-foreground">18<!-- -->.</span><span><span class="text-muted-foreground">Bongulwar et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/298f0d56b96653e89dfb01007da1ece0/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Machine Learning in Social Media Account Analytics<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">19<!-- -->.</span><span><span class="text-muted-foreground">Bellman et al.<!-- --> (<!-- -->2021<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/8a1d3a2df4725fab85460dadf5f8f2ad/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Can muted video advertising be as effective as video advertising with sound?<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">20<!-- -->.</span><span><span class="text-muted-foreground">Pascual-Ferrá et al.<!-- --> (<!-- -->2023<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/9e173068299350728b2815bcede35b94/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Assessing Message Deployment During Public Health Emergencies Through Social Media<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">21<!-- -->.</span><span><span class="text-muted-foreground">Hartmann et al.<!-- --> (<!-- -->2024<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/3d3e7e923b4e547fb2d811ce6bb3dbda/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">The power of generative marketing: Can generative AI create superhuman visual marketing content?<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">22<!-- -->.</span><span><span class="text-muted-foreground">Mao et al.<!-- --> (<!-- -->2018<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/7ae2f61167995bc3984cfdc8dc06126d/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">A Batched Multi-Armed Bandit Approach to News Headline Testing<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">23<!-- -->.</span><span><span class="text-muted-foreground">Xiang et al.<!-- --> (<!-- -->2021<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/906516a9b24050f0a96582022fdbed6c/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Adaptively Optimize Content Recommendation Using Multi Armed Bandit Algorithms in E-commerce<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">24<!-- -->.</span><span><span class="text-muted-foreground">Xiang et al.<!-- --> (<!-- -->2022<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/86ece7b5b9bb51858dca1c455dbc7b72/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Multi Armed Bandit vs. A/B Tests in E-commerce<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">25<!-- -->.</span><span><span class="text-muted-foreground">Az-Zahrah et al.<!-- --> (<!-- -->2026<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/7d6be336fb3358f9ab48e479844834fa/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Predicting Social Media Post Engagement and Virality Using Graph Neural Network Approaches<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">26<!-- -->.</span><span><span class="text-muted-foreground">Bhagyashree et al.<!-- --> (<!-- -->2026<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/1d0e144302b950ef9caec541cd078918/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Early Detection and Forecasting of Emerging Trends Using Explainable ML and Multi-Source Social Media Analytics<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">27<!-- -->.</span><span><span class="text-muted-foreground">Varol et al.<!-- --> (<!-- -->2017<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/6a0cca206a7a582aab0433bf89f42cd0/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Early detection of promoted campaigns on social media<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">28<!-- -->.</span><span><span class="text-muted-foreground">Baek et al.<!-- --> (<!-- -->2024<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/87818b609b0b5bb19ab3f39c2987dc67/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Effect of disclosing AI-generated content on prosocial advertising evaluation<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">29<!-- -->.</span><span><span class="text-muted-foreground">Israfilzade<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/579da6df87375e98acd58203dfcc0870/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">
1AI-generated versus human-created advertising: Effects on consumer trust and purchase intent<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">30<!-- -->.</span><span><span class="text-muted-foreground">Koning et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/eb585e43377959b3bbb0b8a687d351fd/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Disclaimer! This Content Is AI-Generated: How AI-Disclosures Influence Trust<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li><li class="flex gap-3 text-sm leading-relaxed"><span class="numeric w-8 shrink-0 text-muted-foreground">31<!-- -->.</span><span><span class="text-muted-foreground">Kapoor et al.<!-- --> (<!-- -->2025<!-- -->).<!-- --> </span><a href="https://consensus.app/papers/details/11164f76db1c5b229a4ac4d7112be33a/" target="_blank" rel="noreferrer" class="text-foreground underline-offset-4 hover:underline">Frontiers: Generative AI and Personalized Video Advertisements<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-up-right ml-1 inline size-3 text-muted-foreground" aria-hidden="true"><path d="M7 7h10v10"></path><path d="M7 17 17 7"></path></svg></a></span></li></ol></div></section></main><footer class="border-t border-border/60"><div class="mx-auto grid w-full max-w-6xl gap-8 px-5 py-12 md:grid-cols-[1.5fr_1fr_1fr_1fr]"><div class="space-y-3"><a class="inline-flex items-center gap-2 font-semibold tracking-tight" aria-label="Slopster home" href="/"><span class="relative inline-flex size-6 items-center justify-center rounded-md bg-primary text-primary-foreground"><svg viewBox="0 0 24 24" class="size-4" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M4 18 10 6l4 8 2-4 4 8"></path></svg></span><span class="text-base">slopster</span></a><p class="max-w-xs text-sm text-muted-foreground">An autonomous content engine. Content that performs is not written once. It is searched for.</p></div><div><h3 class="mb-3 text-xs font-medium tracking-wider text-muted-foreground uppercase">Product</h3><ul class="space-y-2 text-sm"><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/#how-it-works">How a run works</a></li><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/#evidence">Evidence</a></li><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/pricing">Pricing</a></li></ul></div><div><h3 class="mb-3 text-xs font-medium tracking-wider text-muted-foreground uppercase">Research</h3><ul class="space-y-2 text-sm"><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/research">Paper list</a></li><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/research#generation">Judging with LLMs</a></li><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/research#learning">Bandits and learning</a></li></ul></div><div><h3 class="mb-3 text-xs font-medium tracking-wider text-muted-foreground uppercase">Account</h3><ul class="space-y-2 text-sm"><li><a class="text-foreground/80 transition-colors hover:text-foreground" href="/login">Log in</a></li><li>
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1/80\",\"children\":\"Mechanism. \"}],\"Refinement is an author-versus-critic debate, adjudicated by a judge from a third model family.\"]}]]}],[\"$\",\"li\",\"Heterogeneous role-specialized agents with learned consensus beat homogeneous debate by 4 to 6 points and cut factual errors by over 30%.\",{\"className\":\"grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8\",\"children\":[[\"$\",\"p\",null,{\"className\":\"leading-relaxed\",\"children\":[\"Heterogeneous role-specialized agents with learned consensus beat homogeneous debate by 4 to 6 points and cut factual errors by over 30%.\",\" \",[\"$\",\"span\",null,{\"className\":\"whitespace-nowrap\",\"children\":[[\"$\",\"a\",\"6\",{\"href\":\"https://consensus.app/papers/details/7b06856adba551d69d0295f286533709/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",6,\"]\",\" \"]}]]}]]}],[\"$\",\"p\",null,{\"className\":\"text-sm leading-relaxed text-muted-foreground\",\"children\":[[\"$\",\"span\",null,{\"className\":\"font-medium text-foreground/80\",\"children\":\"Mechanism. \"}],\"Generation uses role-specialized authors (hook-smith, storyteller, direct-response, contrarian) across model families.\"]}]]}],[\"$\",\"li\",\"Strong judges reach about 80% agreement with humans but show position, verbosity and self-enhancement bias. Self-preference is driven by perplexity: models rate familiar text higher.\",{\"className\":\"grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8\",\"children\":[[\"$\",\"p\",null,{\"className\":\"leading-relaxed\",\"children\":[\"Strong judges reach about 80% agreement with humans but show position, verbosity and self-enhancement bias. Self-preference is driven by perplexity: models rate familiar text higher.\",\" \",[\"$\",\"span\",null,{\"className\":\"whitespace-nowrap\",\"children\":[[\"$\",\"a\",\"7\",{\"href\":\"https://consensus.app/papers/details/ed9620bbd8a855909e3b9c53a7f4780f/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",7,\"]\",\" \"]}],[\"$\",\"a\",\"8\",{\"href\":\"https://consensus.app/papers/details/ed80596b4bf35f5a96257cc63c9825b2/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",8,\"]\",\" \"]}],[\"$\",\"a\",\"12\",{\"href\":\"https://consensus.app/papers/details/3be88f1fe8ba5fceb95543b3f72debc1/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",12,\"]\",\" \"]}]]}]]}],\"$L23\"]}],\"$L24\",\"$L25\"]}]]}]}]\n19:[\"$\",\"section\",\"Optimization and learning\",{\"id\":\"learning\",\"className\":\"border-t border-border/60\",\"children\":[\"$\",\"div\",null,{\"className\":\"mx-auto w-full max-w-4xl px-5 py-14\",\"children\":[[\"$\",\"h2\",null,{\"className\":\"text-2xl font-semibold tracking-tight\",\"children\":\"Optimization and learning\"}],[\"$\",\"ul\",null,{\"className\":\"mt-6 divide-y divide-border/60\",\"children\":[[\"$\",\"li\",\"Batched Thompson sampling beats test-then-rollout for headlines by 3.69% clicks. Batch-updated bandits handle delayed rewards and delivered +6% CTR and +16% CVR in production.\",{\"className\":\"grid gap-3 py-5 md:grid-cols-[1.3fr_1fr] md:gap-8\",\"children\":[[\"$\",\"p\",null,{\"className\":\"leading-relaxed\",\"children\":[\"Batched Thompson sampling beats test-then-rollout for headlines by 3.69% clicks. Batch-updated bandits handle delayed rewards and delivered +6% CTR and +16% CVR in production.\",\" \",[\"$\",\"span\",null,{\"className\":\"whitespace-nowrap\",\"children\":[[\"$\",\"a\",\"22\",{\"href\":\"https://consensus.app/papers/details/7ae2f61167995bc3984cfdc8dc06126d/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",22,\"]\",\" \"]}],[\"$\",\"a\",\"23\",{\"href\":\"https://consensus.app/papers/details/906516a9b24050f0a96582022fdbed6c/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",23,\"]\",\" \"]}],[\"$\",\"a\",\"24\",{\"href\":\"https://consensus.app/papers/details/86ece7b5b9bb51858dca1c455dbc7b72/\",\"target\":\"_blank\",\"rel\":\"noreferrer\",\"className\":\"numeric text-primary underline-offset-4 hover:underline\",\"children\":[\"[\",24,\"]\",\" \"]}]]}]]}],[\"$\",\"p\",null,{\"className\":\"text-sm leading-relaxed text-muted-foreground\",\"children\":[[\"$\",\"span\",null,{\"className\":\"font-medium text-foreground
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