Pith. sign in

REVIEW 4 cited by

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2402.15467 v1 pith:DMPJNOV2 submitted 2024-02-23 cs.GT cs.HC

classification cs.GTcs.HC
keywords contenthumancreationgenaicompetitioncreativitygenerativeoffering
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

The advent of generative AI (GenAI) technology produces transformative impact on the content creation landscape, offering alternative approaches to produce diverse, high-quality content across media, thereby reshaping online ecosystems but also raising concerns about market over-saturation and the potential marginalization of human creativity. Our work introduces a competition model generalized from the Tullock contest to analyze the tension between human creators and GenAI. Our theory and simulations suggest that despite challenges, a stable equilibrium between human and AI-generated content is possible. Our work contributes to understanding the competitive dynamics in the content creation industry, offering insights into the future interplay between human creativity and technological advancements in GenAI.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Entry Barriers in Content Markets

    cs.GT 2025-09 conditional novelty 6.0 of 10

    Charging creators an entry fee and feeding it back into the prize pool can improve content quality at Nash equilibrium, while rank-order and proportional rewards both structurally deter new entrants.

  2. MOSAAIC: Managing Optimization towards Shared Autonomy, Authority, and Initiative in Co-creation

    cs.AI 2025-05 conditional novelty 6.0 of 10

    A literature-based framework characterizes control in human-AI co-creation along three dimensions, autonomy, initiative, and authority, plus two balancing strategies.

  3. Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations

    cs.HC 2025-06 conditional novelty 5.0 of 10

    A conceptual taxonomy classifies human-AI creative relations into Support, Synergy, and Symbiosis based on technical autonomy and perceived agency.

  4. Data Sharing with a Generative AI Competitor

    cs.GT 2025-05 conditional novelty 5.0 of 10

    In a two-stage data-sharing game, the unique equilibrium is either that the firm shares just enough data to stop the platform buying expert data, or that the firm shares an amount that maximizes its payoff while the p...

Pith tools