Key issues around copyright and social media: ownership, infringement and liability
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.
Bibliographic record
Abstract
... The terms and conditions of social media platforms dictate the ownership of the material posted by users. However, as argued below, these terms are over-reaching and unfair to the user. This article argues that is particularly impudent in light of social media platforms encouraging users to share both their own original content and third-party content. The more time users spend on their platform sharing content, the higher revenue they are able to receive through advertising. For example, Facebook earned $16.6 billion in advertising revenue for the second quarter of 2019, a 28-per cent increase year-over-year,6 alongside an increase in registered users7 and time spent on the platform by those users.8 As such, the platforms benefit greatly from encouraging users to share content and this is important to bear in mind during the discussion on how much responsibility the platforms should be burdened with in relation to informing and protecting their users.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it