Evidence map›Paper›PMID 42195830›Full record

ArticleFoods (Basel, Switzerland)2026

Greenwashing and Green Marketing on Social Media: Implications for Trust-Related Reactions in the Food Sector.

Tina Vukasović, Maja Trglavčnik, Armand Faganel

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tina VukasovićInternational School for Social and Business Studies, SI-3000 Celje, Slovenia.ORCID 0000-0002-1434-5291
Maja TrglavčnikInternational School for Social and Business Studies, SI-3000 Celje, Slovenia.
Armand FaganelFaculty of Management, University of Primorska, SI-6000 Koper, Slovenia.ORCID 0000-0002-3618-4986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines how green marketing and the phenomenon of greenwashing on social media relate to consumers' trust-related reactions and their perception of food companies' sustainability orientation. The study is situated within the context of sustainability communication related to food products and food-related consumer decision-making. Particular attention is given to the role of environmental awareness in recognising misleading practices, investigating whether more informed and sustainability-oriented consumers are more likely to identify deceptive sustainability claims. The research employs a quantitative survey method to analyse consumer attitudes and perceptions. The study is based on a convenience sample of 145 adult social media users in Slovenia. The findings suggest that environmentally aware consumers are more capable of detecting greenwashing, that such practices are associated with negative trust-related reactions, and that greater exposure to social media is associated with increased attentiveness to misleading sustainability claims on social media. The results further indicate that verifiable evidence was not significantly associated with lower perceived greenwashing and should be interpreted with caution given the study's measurement limitations. Based on these findings, we suggest that companies build their sustainability communication on consistent and measurable environmental practices, use verifiable and transparent claims, and strategically leverage social media to enhance credibility.

Indexed as

environmental awarenessfood sectorgreen marketinggreenwashingsocial mediasustainability communicationtrust-related reactions

Identifiers

PMID42195830
PMCPMC13205558

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.