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Research Review · 2026-06-03

Unlocking MZ's Luxury Wallets: New Study Reveals Influencer

A 2025 study challenges traditional marketing, finding that influencer expertise does not drive luxury purchases among the MZ generation. Analyzing 492 MZ consumers, researchers rejected the hypothesis linking influencer expertise to consumer self-satisfaction. This signals a new era for luxury bran

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Research Review · AI & LLM Research · 2026-05-20

[Paper Review] AI Optimization vs. Human Ability | META-X

This paper reveals how AI-era fairness issues extend beyond human group discrimination to technical-stylistic power structures where generative AI and evaluative AI recognize and prefer each other.

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Research Review · AI & LLM Research · 2026-05-14

[Paper Review] AI-Centrism and Human Alienation | META-X

David Matta's 2026 paper argues that modern society has begun using AI as a reference point for evaluating human values and capabilities — a phenomenon he calls 'AI-centrism.'

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Research Review · AI & LLM Research · 2026-05-13

[Paper Review] Are Humans Becoming Like Chatbots? | META-X

Jung Hae-wook's 2025 paper explores how AI is restructuring human thought, language, and the structure of desire — and how subjects are becoming precarious within that transformation.

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Research Review · AI & LLM Research · 2026-04-22

[Paper Review] Student Anxiety in the Generative AI Era | META-X

AI-related anxiety is usually understood as fear of failing to use AI or falling behind new technology. But researchers found a more nuanced picture using the Generative AI Anxiety Scale for College Students (GAIAx-CS).

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Research Review · AI & LLM Research · 2026-04-21

[Paper Review] AI Content Perception and Over-Dependence | META-X

The explosion of generative AI has penetrated deeply into human cognitive and psychological domains. Kim Do-hee and Heo Chang-gu's (2025) research explores how AI-generated content shapes human psychology.

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Research Review · AI & LLM Research · 2026-04-16

[Paper Review] The Poetics of AI Hallucination | META-X

The author attempts a humanistic intervention, bringing engineering discourse around generative AI into the realm of literary contemplation. AI hallucination is usually seen as a flaw — but can it be poetically appropriated?

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Research Review · AI & LLM Research · 2026-04-15

[Paper Review] Multiple Anthropocenes Conceptualized | META-X

The Anthropocene is no longer an unfamiliar academic term. This paper conceptualizes 'multiple Anthropocenes' through classification of existing discourse, after the International Commission on Stratigraphy declined to formally adopt it.

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Research Review · AI & LLM Research · 2026-04-14

[Paper Review] What Is Poetry in the AI Age? | META-X

Lim Ji-hoon's paper begins from a familiar premise: AI is replacing creativity and threatening poetry. But the author takes a different path, exploring what poetry means when AI can also write it.

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Research Review · AI & LLM Research · 2026-04-08

[Paper Review] Why Hyper-Personalized Ads Exhaust Us | META-X

This paper statistically proves that advertising fatigue is the absolute cause of ad avoidance (β=1.219), urging a direction change in marketing. AI can now read users' minds, but consumers resist being mechanical targets.

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Research Review · AI & LLM Research · 2026-03-31

[Paper Review] Targeted Ads and Privacy Protection Behavior | META-X

We routinely see ads for shoes we searched for yesterday appear in our Instagram feed. Research examines how knowledge about online behavioral advertising (OBA) actually affects users' privacy protection behavior.

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Research Review · AI & LLM Research · 2026-03-26

[Paper Review] AI Art and Cultural Capital | META-X

This paper expands discourse around AI art from technical praise to sociocultural criticism. Through the concept of 'digital cultural capital,' it analyzes new artistic hierarchies in the AI era.

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Research Review · AI & LLM Research · 2026-03-18

[Paper Review] How Young Students Form AI Concepts | META-X

This paper starts from the concern that AI education research for young elementary students is biased toward practical application perspectives — program development and implementation — rather than conceptual understanding.

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