Evidence map›Paper›PMID 36033594›Full record

ReviewPatterns (New York, N.Y.)2022

A critical review of the Online Safety Bill.

Markus Trengove, Emre Kazim, Denise Almeida, Airlie Hilliard, Sara Zannone, Elizabeth Lomas

Abstract readReview
In one paragraph

Review in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Markus TrengoveSchool of Public Policy, University College London, 29 Tavistock Square, London WC1H 9QU, UK.
Emre KazimHolistic AI, 18 Soho Square, London W1D 3QL, UK.
Denise AlmeidaDepartment of Information Studies, University College London, Gower Street, London WC1E 6BT, UK.
Airlie HilliardHolistic AI, 18 Soho Square, London W1D 3QL, UK.
Sara ZannoneHolistic AI, 18 Soho Square, London W1D 3QL, UK.
Elizabeth LomasDepartment of Information Studies, University College London, Gower Street, London WC1E 6BT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The UK Parliament has tabled the Online Safety Bill to make the internet safer for users by requiring providers to regulate legal but harmful content on their platform. This paper critically assesses the draft legislation, surveying its rationale; its scope in terms of lawful and unlawful harms it intends to regulate; and the mechanisms through which it will be enforced. We argue that it requires further refinement if it is to protect free speech and innovation in the digital sphere. We propose four conclusions: further evidence is required to substantiate the necessity and proportionality of the Bill's interventions; the Bill risks a democratic deficit by limiting the opportunity for parliamentary scrutiny; the duties of the bill may be too wide (in terms of burdening providers); and that enforcement of a Code of Practice will likely be insufficient.

Indexed as

artificial intelligencedigital ethicsfree speechonline harms billonline safety billprivacy

Identifiers

PMID36033594
PMCPMC9403395

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.