Evidence map›Paper›PMID 37192017›Full record

ArticleJournal of behavioral addictions2023

Gambling advertising on Twitter before, during and after the initial Australian COVID-19 lockdown.

Alex M T Russell, Nerilee Hing, Gabrielle Maria Bryden, Hannah Thorne, Matthew J Rockloff, Matthew Browne

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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.

Alex M T Russell1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, 400 Kent St, Sydney, NSW 2000, Australia.ORCID 0000-0002-3685-7220
Nerilee Hing2Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, 6 University Dr, Branyan, QLD 4670, Australia.ORCID 0000-0002-2150-9784
Gabrielle Maria Bryden2Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, 6 University Dr, Branyan, QLD 4670, Australia.ORCID 0000-0003-4162-9414
Hannah Thorne3Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, 44 Greenhill Rd, Wayville, SA 5034, Australia.ORCID 0000-0002-2830-2911
Matthew J Rockloff2Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, 6 University Dr, Branyan, QLD 4670, Australia.ORCID 0000-0002-0080-2690
Matthew Browne2Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, 6 University Dr, Branyan, QLD 4670, Australia.ORCID 0000-0002-2668-6229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: COVID-19 resulted in the shutdown of almost all sporting competitions and most venue-based gambling opportunities. This study examines how wagering operators in Australia responded, by examining their advertising. Methods: The study compared Twitter activity during lockdown (March-May 2020) to the previous year for four major wagering operators. Results: Wagering operators continued to advertise in earnest, changing their marketing mix to include more race betting content, as races continued to operate. Most also promoted the only sports available, such as table tennis or esports. When sports resumed, sports betting advertising quickly returned to normal, or exceeded previous levels. Despite more content being available in the case of two operators, engagement from the public during lockdown was similar to or lower than previously. Discussion and conclusion: These results indicate that gambling operators can adjust quickly to major changes. These shifts appear to have been successful, with the increase in race betting during this period almost completely offsetting the decreases in sports betting. This is likely due in part to changes in advertising, which have been associated with increased betting activity, particularly amongst vulnerable people. Responsible gambling messages were virtually non-existent on Twitter, which contrasts with mandatory requirements in other media. The study highlights that regulatory changes to advertising, e.g., banning some content, are likely to be met with substitution of content, rather than reduction, unless advertising volume is also capped. The study also highlights the adaptive capacity of the gambling industry in the face of major disruption to supply.

Indexed as

COVID-19GamblingSocial MediaAdvertisingAustraliaCommunicable Disease ControlHumansadvertisingCOVID-19gamblingTwitter

Identifiers

PMID37192017
PMCPMC10316176

What OpenQuestion holds

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LicenceCC BY-NC
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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.