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Record W1550260640 · doi:10.5281/zenodo.8374

Copyright And The Economic Effects Of Parody: An Empirical Study Of Music Videos On The Youtube Platform, And An Assessment Of Regulatory Options

2013· report· en· W1550260640 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBournemouth University Research Online (Bournemouth University) · 2013
Typereport
Languageen
FieldBusiness, Management and Accounting
TopicCopyright and Intellectual Property
Canadian institutionsnot available
FundersArts and Humanities Research CouncilResearch Councils UK
KeywordsCopyright lawAdvertisingInternet privacyBusinessMultimediaComputer sciencePolitical scienceIntellectual propertyLaw

Abstract

fetched live from OpenAlex

This is the third in a sequence of three reports on Parody &amp; Pastiche, commissioned to evaluate policy options in the implementation of the Hargreaves Review of Intellectual Property &amp; Growth (2011). Study I presents new empirical data about music video parodies on the online platform YouTube; Study II offers a comparative legal review of the law of parody in seven jurisdictions; Study III provides a summary of the findings of Studies I &amp; II, and analyses their relevance for copyright policy. Links to all three studies are available from<br> http://www.ipo.gov.uk/pro-ipresearch/ipresearch-year/ipresearch-year-2013.htm Study III is structured as follows:<br> First, we discuss the empirical findings from Study I. A sample of 8,299 user-generated music video parodies was constructed relating to the top-100 charting music singles in the UK for the year 2011. The key findings are: Parody is a signifi cant consumer activity: On average, there are 24 user-generated parodies available for each original video of a charting single. There is no evidence for economic damage to rights holders through substitution: The presence of parody content is correlated with, and predicts larger audiences for original music videos. The potential for reputational harm in the observed sample is limited: Only 1.5% of all parodies sampled took a directly negative stance, discouraging viewers from commercially supporting the original. Observed creative contributions were considerable: In 78% of all cases, the parodist appeared on camera (also diminishing the possibility of confusion). There exists a small but growing market for skilled user-generated parody: Parodists who exhibit higher production values in their works attract larger audiences, which can be monetized via revenue share with YouTube. Secondly, we present a distilled discussion of the legal treatment of parodies in seven jurisdictions that have implemented a copyright exception for parody (Australia, Canada, France, Germany, Netherlands, UK, and USA). The underlying principles (including economic and constitutional) governing divergent legal approaches are identified, and a list of policy options is presented. Thirdly, we provide a synthesis of the legal analysis and the empirical data. Each of the policy options identified in Study II is examined for its likely impact on the empirical sample gathered in Study I. Finally, some recommendations are made.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.123
GPT teacher head0.351
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it