Reference health

<span>Generative AI, Platform Stances, and Content Creator Behavior</span>

https://doi.org/10.2139/ssrn.4670714
CiteStamped reference-health badge
26/26 checkable references clean · checked 2026-08-05

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

32 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 26 checked references that resolve
resolves10.1198/jasa.2009.ap08746
Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
resolves10.1145/2488388.2488398
Steering user behavior with badges
resolves10.1177/00222429241276529
AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators
resolves10.1177/0022243719851788
Task-Dependent Algorithm Aversion
resolves10.1287/isre.2016.0672
Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook
resolves10.1093/qje/qjad054
Logs with Zeros? Some Problems and Solutions
resolves10.1086/729449
Expectations, Infections, and Economic Activity
resolves10.1126/science.adh4451
Art and the science of generative AI
resolves10.1287/mksc.2023.0306
Frontiers: Can Large Language Models Capture Human Preferences?
resolves10.2307/1913471
Pseudo Maximum Likelihood Methods: Theory
resolves10.2307/1913472
Pseudo Maximum Likelihood Methods: Applications to Poisson Models
resolves10.1016/0165-1889(80)90069-X
Testing for causality
resolves10.1146/annurev-resource-121517-033306
Regression Discontinuity in Time: Considerations for Empirical Applications
resolves10.1177/00222437211050351
Home-Tutoring Services Assisted with Technology: Investigating the Role of Artificial Intelligence Using a Randomized Field Experiment
resolves10.1080/01621459.1995.10476491
Hazard Regression
resolves10.2307/2529310
The Measurement of Observer Agreement for Categorical Data
resolves10.1287/mksc.2023.0454
Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis
resolves10.1287/mksc.2020.1275
Digital Piracy, Creative Productivity, and Customer Care Effort: Evidence from the Digital Publishing Industry
resolves10.1287/isre.2020.0971
Does Money Talk? The Impact of Monetary Incentives on User-Generated Content Contributions
resolves10.1287/mksc.2020.1256
The Effect of Over-the-Top Media Services on Piracy Search: Evidence from a Natural Experiment
resolves10.2307/2287653
Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment
resolves10.1177/00222437211044472
Hype News Diffusion and Risk of Misinformation: The Oz Effect in Health Care
resolves10.1287/mnsc.1120.1704
Ad Revenue and Content Commercialization: Evidence from Blogs
resolves10.1287/mksc.2013.0773
Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?
resolves10.1017/pan.2016.2
Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models
resolves10.1287/mksc.2021.1295
Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb
The 32 references without a DOI — listed, not checked
no DOI — not checkedArtificial intelligence, firm growth, and product innovation
no DOI — not checkedref5
no DOI — not checkedThe consequences of generative ai for ugc and online community engagement
no DOI — not checkedA comprehensive survey of ai-generated content
no DOI — not checkedref8
no DOI — not checkedSharing online advertising revenue with consumers
no DOI — not checkedSection 1202 (b) and ai: Implications for copyright infringement lawsuits and considerations for digital creators
no DOI — not checkedref14
no DOI — not checkedref16
no DOI — not checkedMeasuring nominal scale agreement among many raters
no DOI — not checkedref19
no DOI — not checkedRegulating privacy online: An economic evaluation of the gdpr
no DOI — not checkedAi can be a troublesome teammate
no DOI — not checkedref26
no DOI — not checkedref30
no DOI — not checkedHow generative ai turns copyright upside down
no DOI — not checkedAi rules? characterizing reddit community policies towards ai-generated content
no DOI — not checkedref38
no DOI — not checkedFrontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases
no DOI — not checkedref40
no DOI — not checkedref41
no DOI — not checkedFairness and fair use in generative ai
no DOI — not checkedProtecting artists from style mimicry by {Text-to-Image} models
no DOI — not checkedSuperhuman artificial intelligence can improve human decision-making by increasing novelty
no DOI — not checkedref47
no DOI — not checkedThe log of gravity
no DOI — not checkedElements of style: copyright, similarity, and generative ai
no DOI — not checkedref50
no DOI — not checkedWhen the data are out: measuring behavioral changes following a data breach
no DOI — not checkedLabeling ai-generated media online
no DOI — not checkedref56
no DOI — not checkedref58
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-08-05 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

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