Evidence map›Paper›PMID 33222709›Full record

ArticlePublic health nutrition2021

How food companies use social media to influence policy debates: a framework of Australian ultra-processed food industry Twitter data.

Daniel Hunt

Abstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Editorial: Hunger, Food Sovereignty and Public Health.International journal of public health · 2025
    Article
  7. Article
  8. Article
  9. An Analysis of Arguments Advanced via Twitter in an Advocacy Campaign to Promote Electronic Nicotine Delivery Systems.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

1 author.

Daniel HuntMSc Student, Centre for Food Policy, School of Health Sciences, City, University of London, London, UK.ORCID 0000-0002-7397-2770

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo understand if, and how, Australian ultra-processed food industry actors use Twitter to influence food and health policy debates and produce a conceptual framework to describe such influence.

designTwitter data of prominent industry actors were defined through purposive sampling and inductively coded to investigate possible influence on food and health policy debates. These are described using descriptive statistics and coded extracts.

settingAustralia.

participantsTwitter accounts of nine prominent ultra-processed food industry actors, including major trade associations.

resultsUltra-processed food industry actors actively used Twitter to influence food and health policy debates. Seven overarching strategies were identified: co-opting public health narratives; opposing regulation; supporting voluntary, co- or self-regulation; engaging policy processes and decision-makers; linking regulatory environments to the need for ongoing profitability; affecting public perceptions and value judgements; and using ignorance claims to distort policy narratives. Each lobbying strategy is underpinned with tactics described throughout and captured in a framework.

conclusionsThe current study creates a framework to monitor how food industry actors can use social media to influence food and health policy debates. As such, social media appears to be not only an important commercial determinant of health for brand marketing, but also an extension of lobbying practices to reshape public perceptions of corporate conduct and policy-making.

Indexed as

Social MediaAustraliaFood IndustryHealth PolicyHumansPoliticsCommercial determinants of healthCorporate political activityPolicyPrivate sector engagementUltra-processed food

Identifiers

PMID33222709
PMCPMC9884788

What OpenQuestion holds

Textmetadata
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.