A descriptive baseline for Australian audiology
The corpus brings together outlet, year, and thematic information about media coverage of audiology, adding a focused descriptive resource.
↳ Results §§3.1–3.2; Tables 2–3
Abstract
PURPOSE: To investigate how the profession of audiology was represented in the media in Australia and how the increased privatisation of the profession may have shaped this representation. METHODS: A systematic search of English language media records was conducted from 1 January 2000 to 17 July 2020 using ANZ News Stream, TV News, Google News and INFORMIT. Twenty-four of 1056 originally identified articles were retained. The findings were extracted and synthesised. RESULTS: Context and content analyses were preformed, revealing a predominantly negative portrayal of Audiology as a profession in 21 (87.5%) of 24 articles. Predominant themes included: sales driven by incentives; predatory strategies and malpractice; non-regulation and privatisation of the hearing care industry; and conflict of interest. CONCLUSIONS: The media was found to highlight consumer mistrust in the profession in recent years. Increased regulation of the profession of audiology is recommended to protect the population against exploitative practices and to renew faith in the profession by the public.
Key Claims
Primary findingTentative
The results revealed a predominantly negative portrayal of Audiology in 21 (87.5%) of 24 articles compared to the proportion of positive articles in 3 (12.5%) of 24
exclusion-shaped sampling and unspecified sentiment coding constrain interpretation of the retained-corpus percentage
Section 4, Discussion, paragraph 2
SecondaryTentative
The study revealed the potential for financial exploitation of vulnerable people with hearing loss.
media-content analysis does not directly establish actual exploitation
Section 5, Conclusion
SecondarySupported
Predominant themes included: sales driven by incentives; predatory strategies and malpractice; non-regulation and privatisation of the hearing care industry; and conflict of interest.
reported theme counts and extracts substantiate the descriptive summary despite limited documentation of thematic coding
Abstract, Results; Section 3.2
Derived from the full evaluation — not a separate score.
Strengths · Limitations
Strengths
Explicit selection criteria and multi-author screening
The methods identify databases, search concepts, eligibility rules, and screening by three authors, with exclusion reasons presented in a flowchart.
↳ Methods §§2.1–2.4; Table 1; Figure 1
Relevant policy context and acknowledged negativity
The discussion links coverage to the ACCC inquiry and professional responses while explicitly recognising that negative stories may be more newsworthy.
↳ Discussion §4
Limitations
Policy certainty exceeds the media evidence
The strong recommendation for government regulation is not supported by an evaluation of regulatory effects or competing policy options. The study analyses media representations rather than directly measuring professional conduct.
↳ Conclusion §5
Coding and source appraisal remain underdescribed
The paper does not specify sentiment-classification rules or adequately document independent checking of thematic coding. It also does not appraise source credibility or dependence before using the reports to support substantive conclusions.
↳ Methods §§2.3–2.5; Results §3.2
Selected coverage cannot represent public trust
Eligibility rules exclude research news, personal stories, and awareness items that could contain non-negative coverage. Neither the resulting negative share nor the thematic findings directly measure consumer mistrust or analytically answer the question about association with privatisation.
↳ Methods §2.2; Introduction research questions; Abstract, Conclusions
Nabu Commentary
The paper's main contribution is a descriptive account of a small Australian media corpus, supported by explicit selection criteria, multi-author screening, and reported thematic extracts. Its methods do not adequately explain sentiment classification or appraise the credibility and dependence of the underlying reports. These omissions matter because the conclusion moves beyond media representation to exploitation and a strong regulatory recommendation. The discussion acknowledges negativity bias, but that qualification does not carry through to the final policy inference.
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Author Note / Field Feedback
Nabu’s assessment, alongside the field’s view.
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Dimension breakdown
Study Quality
Limited2.5
Confidence mediumContribution
3.0
The assembled Australian media corpus supplies a narrow descriptive baseline and identifiable themes. It does not test whether privatisation caused the coverage or establish actual exploitation.
Results §§3.1–3.2; Discussion §4
Methodological Rigour
2.0
Named databases, explicit eligibility criteria, and three-author screening support an auditable selection process. Missing source appraisal and inadequately described coding materially constrain the strong policy conclusion.
Methods §§2.1–2.5; Table 1; Figure 1; Conclusion §5
Reporting
2.9
The sequence from questions through selection and thematic findings is followable. Central concluding language does not consistently distinguish evidence of media portrayal from evidence of exploitation or policy effectiveness.
Abstract; Results §3; Conclusion §5
Positioning
2.8
The discussion engages the ACCC inquiry, professional responses, trust, and negativity bias. Its explicit caution about negative coverage is not retained in the regulatory conclusion.
Discussion §4; Conclusion §5
Reliability
Caveats4 of 4 checks
Results checkNoted
2 reported values do not reconcile, but the key claims do not rest on them.
Reporting and transparencyNoted
The data-availability statement does not acknowledge the extracted and analysed media dataset, and the newspaper-only description conflicts with included television records. Neither note establishes invalidity of the reported thematic results.
Conflict of interest: declared · Preregistration: not stated · Data availability: not stated · Code availability: not stated
Reference IntegrityNoted
31 of 40 checkable references verified
61 references in manuscript 21 are books, websites or datasets — counted, but not index-checkable
References not verified automatically are resolved manually within 24 hours.
Post-Publication RecordClean
No retraction or expression of concern found in Crossref (includes Retraction Watch).
Last checked: 23 Oct 2026
Sources: Crossref (incl. Retraction Watch) ✓
Readiness
Where this paper’s evidence sits on the path from initial observation to real-world use.
Demonstrated
The findings can contribute to agenda-setting and professional discussion. They supply neither an evaluated regulatory intervention nor implementation guidance.
Discussion §4; Conclusion §5
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