Cross-national evidence on influencer-driven green choice: a moderated-mediation model of authenticity, parasocial ties, and greenwashing exposure
Open accessAbstract
Introduction: Social media influencers are essential to sustainability communication, but the mechanisms through which their messages convert into environmentally conscious consumer behavior remain under-specified. This research examines two antecedents—perceived influencer authenticity (AUTH) and parasocial relationship (PSR)—within a conditional-process framework that identifies green trust (TRUST) as the proximal mechanism. The design additionally involves two skepticism constructs: perceived greenwashing risk (PGR) at the post level and prior greenwashing exposure (PGE) at the individual level. Methods: Utilizing recall-anchored, cross-national survey data from Greece ( n = 376) and the United Kingdom ( n = 331), analyzed through variance-based structural equation modeling (SEM), we examine direct, mediated, and moderated-mediation relationships. Results: AUTH and PSR exhibit positive associations with sustainable purchase intention across the country and pooled samples, while TRUST offers additional explication power. The conversion of TRUST into intention is weakened by PGE, which functions as a late-stage boundary condition. Conditional-indirect analyses indicate that PGR affects intention via TRUST in all samples, with effects diminishing as PGE rises; PSR only shows a moderate negative mediated component via TRUST in addition to its positive direct association with intention in the UK. Cross-national comparability is supported by measurement and structural invariance. Discussion: To maintain the conversion efficiency of trust in green decision-making, the findings suggest prioritizing verifiable, value-congruent authenticity, actively managing both PGR and PGE, and matching influencer content with transparent substantiation practices.
AI snapshot
Written from the paper’s full text.
TL;DR
This cross-national survey of Greek and UK social media users tests how influencer authenticity (AUTH) and parasocial relationship (PSR) relate to sustainable purchase intention through green trust (TRUST), with prior greenwashing exposure (PGE) as a late-stage boundary condition. AUTH and PSR directly predict intention, TRUST adds explanatory power, and PGE weakens the conversion of TRUST into intention across both countries.
Key findings
- AUTH and PSR positively predicted sustainable purchase intention in the pooled sample and in both countries; AUTH was generally stronger (pooled AUTH → INTENT β = 0.335, p < 0.001; PSR → INTENT β = 0.148, p < 0.001).
- TRUST positively predicted INTENT (pooled β = 0.199, p < 0.001), while PGR had only limited support overall (β = -0.049, p = 0.046) and was not significant in Greece or the UK.
- Mediation via TRUST was consistent for PGR in all samples (pooled β = 0.078, p < 0.001; Greece β = 0.038, p = 0.035; UK β = 0.122, p < 0.001), absent for AUTH, and sample-contingent for PSR (significant and negative in the UK only, β = -0.047, p = 0.015).
- PGE negatively moderated TRUST → INTENT in all samples (overall β = -0.130, p < 0.001; Greece β = -0.098, p = 0.018; UK β = -0.118, p < 0.001), with conditional indirect effects through TRUST diminishing as PGE rose.
Methods
- Cross-sectional, recall-anchored online survey using purposive, stratified-quota sampling in Greece (n = 376) and the United Kingdom (n = 331); total N = 707 adults who were active social media users and had recently encountered sustainability-related influencer posts.
- Respondents selected an influencer they followed and recalled a recent post (≤6 months) recommending or discussing a sustainable product/practice; all focal constructs used multi-item 5-point Likert scales.
- Data were analyzed with variance-based structural equation modeling in SmartPLS 4, including multi-group analysis, MICOM invariance testing, latent interactions, and bias-corrected bootstrapping with 10,000 resamples for mediation and moderated mediation.
Limitations
- The paper states the design is cross-sectional and recall-anchored, so causal claims would require panel designs or field experiments; the dependent variable is intention rather than verified behavior.
- The paper states that only PGE was modeled as a person-level moderator, and future work could include identity centrality, environmental knowledge, or regulatory literacy; broader non-European samples and creator heterogeneity (micro vs. macro; human vs. virtual) are also called for.
- Evident from the text: the study relies on self-reported recalled exposures and intentions, and although common-method bias was checked, the design cannot fully rule out recall or self-report biases.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Claims the paper makes
24 of 39 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Study design and conductcitation
Composite reliability values for all focal constructs met or came close to the 0.70 benchmark, indicating satisfactory internal consistency.
“The CR values for all focal constructs (AUTH, INTENT, PGE, PGR, PSR, TRUST) met or came close to the 0.70 benchmark, which indicates that the internal consistency was satisfactory (Gefen and Straub, 2005;Henseler et al., 2015).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Gefen and Straub, 2005 source
Figure 5 in “Discriminant Validity: Procedure 1” reports composite reliability for the tutorial’s own constructs (Buy Tick, PU, and PEOU), not the six focal constructs in the citing sentence. Searches for a 0.70 composite-reliability benchmark and internal consistency found no passage in our copy establishing that benchmark or the claimed assessment. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites Henseler et al., 2015 source
The Empirical example and Table 6 discuss discriminant validity and HTMT thresholds of 0.85 and 0.90, not composite reliability or a 0.70 internal-consistency benchmark (page numbers unavailable). Searches for composite reliability, internal consistency, and the 0.70 threshold found no passage assessing the citing paper’s six constructs or supporting that benchmark. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Study design and conductcitation
HTMT ratios were all below the conservative 0.85 threshold.
“The HTMT ratios were all below the conservative 0.85 threshold (Henseler et al., 2015(Henseler et al., , 2016)).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Henseler et al., 2015 source
- cites Henseler et al., 2016 source
The discriminant-validity discussion and Table I (pp. 10–12) recommend that HTMT be significantly smaller than 1. They support using HTMT to assess discriminant validity, but do not give a conservative 0.85 threshold. The statement that all ratios fell below that threshold concerns the citing paper’s own results, not results reported by this source. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Governance regimes and socio-cultural priors co-produce responses to persuasive technologies and green messages.
“These variations are consistent with research demonstrating that governance regimes and socio-cultural priors co-produce responses to persuasive technologies and green messages (Colleoni et al., 2022;Kim and Wang, 2024;Strycharz and Segijn, 2024).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Colleoni et al., 2022 source
Section 2.2 says cultural background shapes how people interpret CSR campaigns, and Section 6 reports that recall of COVID-19 CSR campaigns varied across countries with different cultural norms. The paper does not show governance regimes and socio-cultural factors jointly producing responses, nor does it study persuasive technologies or specifically green messages; its campaigns concerned COVID-19. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Kim and Wang, 2024 source
- cites Strycharz and Segijn, 2024 source
The General Discussion (p. 11) examines how regulatory context, trust, and privacy concerns relate to chilling effects from data-driven advertising in the U.S. and the Netherlands. The Theoretical Contributions (p. 11) report different responses across the two countries, but do not establish that governance and socio-cultural factors jointly cause those differences. The paper does not address green messages, so that part of the cited claim is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Interpretationcitation
This dual-skepticism framework aids in reconciling inconsistent findings in the literature by differentiating state suspicion regarding a particular post (PGR) from trait resistance grounded in previous experience (PGE).
“This dual-skepticism framework aids in reconciling inconsistent findings in the literature by differentiating state suspicion regarding a particular post (PGR) from trait resistance grounded in previous experience (PGE) (de Sio et al., 2022;Nazish et al., 2025;Rehman et al., 2025;Skordoulis et al., 2025).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites de Sio et al., 2022 source
The Introduction (§1.2) and Measures (§2.2) define green advertising skepticism as a tendency not to believe green advertising claims. Our copy does not address a dual-skepticism framework, distinguish PGR from PGE, or link either to a particular post or previous experience; searches for those terms and for state-versus-trait skepticism found no supporting passage. No page numbers were provided for these sections. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites Nazish et al., 2025 source
- cites Rehman et al., 2025 source
The Discussion and Implications section discusses green skepticism and perceived greenwashing, and Table 5 identifies them as separate variables. Our copy does not describe a dual-skepticism framework, define PGR and PGE as suspicion about a post versus resistance from prior experience, or say that such a distinction reconciles inconsistent findings (searched: PGR, PGE, dual-skepticism, state and trait). (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Rests on an assumption: PGE is trait-like and PGR is state-like.
- Findingown data
The conversion of TRUST into intention is weakened by PGE, which functions as a late-stage boundary condition.
“The conversion of TRUST into intention is weakened by PGE, which functions as a late-stage boundary condition.”
Quote in the paperSubstantial claim
- Findingown data
AUTH and PSR exhibit positive associations with sustainable purchase intention across the country and pooled samples.
“AUTH and PSR exhibit positive associations with sustainable purchase intention across the country and pooled samples”
Quote in the paperSubstantial claim - Findingown data
TRUST offers additional explication power.
“while TRUST offers additional explication power”
Quote in the paperSubstantial claim - Findingown data
PSR only shows a moderate negative mediated component via TRUST in addition to its positive direct association with intention in the UK.
“PSR only shows a moderate negative mediated component via TRUST in addition to its positive direct association with intention in the UK.”
Quote in the paperSubstantial claim - Findingnone given
Cross-national comparability is supported by measurement and structural invariance.
“Cross-national comparability is supported by measurement and structural invariance.”
Quote in the paperNot a substantial claim - Findingown data
In the UK, the PGR → TRUST → INTENT relationship exhibited substantial positive indirect effects that diminished yet remained significant as PGE escalated: low b = 0.175, CI (0.131, 0.225), p < 0.001; mean b = 0.133, CI (0.096, 0.178), p < 0.001; high b = 0.091, CI (0.047, 0.144), p = 0.001.
“Initially, the relationship PGR → TRUST → INTENT exhibited substantial positive indirect effects that diminished yet remained significant as PGE escalated [low: b = 0.175, CI (0.131, 0.225), p < 0.001; mean: b = 0.133, CI (0.096, 0.178), p < 0.001; high: b = 0.091, CI (0.047, 0.144), p = 0.001]”
Quote in the paperSubstantial claim - Findingown data
In Greece, indirects through AUTH and PSR were not significant.
“Indirects through AUTH and PSR were not significant.”
Quote in the paperNot a substantial claim - Findingown data
In Greece, TRUST exhibited a diminished yet significant correlation with INTENT (β = 0.095, SE = 0.051, t = 1.86, p = 0.031), corroborating H4.
“TRUST exhibited a diminished yet significant correlation with INTENT (β = 0.095, SE = 0.051, t = 1.86, p = 0.031), thereby corroborating H4.”
Quote in the paperSubstantial claim - Findingown data
In Greece, PGR was not significant (β = -0.053, SE = 0.041, t = 1.28, p = 0.100), providing no Greek support for H3.
“PGR was not significant (β = -0.053,SE = 0.041, t = 1.28, p = 0.100), providing no Greek support for H3.”
Quote in the paperSubstantial claim - Findingown data
In the UK, PSR → TRUST → INTENT led to negative conditional indirect effects across all PGE levels: low b = -0.074, CI (-0.124, -0.025), p = 0.006; mean b = -0.057, CI (-0.101, -0.020), p = 0.010; high b = -0.039, CI (-0.085, -0.012), p = 0.033.
“Second, PSR → TRUST → INTENT led to negative conditional indirect effects across all PGE levels [low: b = -0.074,CI (-0.124, -0.025), p = 0.006; mean: b = -0.057,CI (-0.101, -0.020), p = 0.010; high: b = -0.039,CI (-0.085, -0.012), p = 0.033].”
Quote in the paperSubstantial claim - Findingown data
The PGR → TRUST → INTENT path is strongly positive in general and by country.
“The PGR → TRUST → INTENT path is strongly positive (in general and by country).”
Quote in the paperSubstantial claim - Findingown data
Green trust positively predicted INTENT, β = 0.199, SE = 0.034, t = 5.86, p < 0.001, supporting H4.
“Green trust (TRUST) positively predicted INTENT, β = 0.199, SE = 0.034, t = 5.86, p < 0.001, thereby supporting H4.”
Quote in the paperSubstantial claim - Findingown data
In the UK, indirects through AUTH were not significant.
“Indirects through AUTH were not significant.”
Quote in the paperNot a substantial claim - Findingcitation
The UK exhibits a small negative mediated component for PSR (PSR → TRUST → INTENT).
“The UK exhibits a small negative mediated component for PSR (PSR → TRUST → INTENT) (Ye et al., 2024).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ye et al., 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
TRUST directly predicts INTENT in both countries.
“Additionally, TRUST directly predicts INTENT in both countries (H4).”
Quote in the paperSubstantial claim - Findingown data
In the total sample, perceived influencer authenticity significantly predicted sustainable purchase intention, β = 0.335, SE = 0.034, t = 9.75, p < 0.001, supporting H1.
“In the total sample, perceived influencer authenticity (AUTH) significantly predicted sustainable purchase intention (INTENT), β = 0.335, SE = 0.034, t = 9.75, p < 0.001, thereby supporting H1.”
Quote in the paperSubstantial claim - Findingown data
The indirect effect of PGR → TRUST → INTENT was diminished in Greece (Δβ = -0.084, p = 0.003).
“Additionally, the indirect effect of PGR → TRUST → INTENT was also diminished in Greece (Δβ = -0.084,p = 0.003).”
Quote in the paperSubstantial claim - Findingown data
The model explained a moderate proportion of variance in the pooled sample: R2 for TRUST = 0.155 and for INTENT = 0.532.
“The model explained a moderate proportion of variance in the pooled sample (R 2 : TRUST = 0.155; INTENT = 0.532).”
Quote in the paperSubstantial claim - Findingown data
Simple-slope patterns show that the TRUST → INTENT effect is strongest when PGE is low and gets weaker as PGE gets higher.
“Simple-slope patterns show that the TRUST → INTENT effect is strongest when PGE is low and gets weaker as PGE gets higher (Figure 2).”
Quote in the paperSubstantial claim - Findingown data
There were no significant conditional indirects through AUTH.
“There were no significant conditional indirects through AUTH.”
Quote in the paperNot a substantial claim - Findingown data
Parasocial relationship exhibited a strong association with INTENT, β = 0.148, SE = 0.037, t = 4.02, p < 0.001, supporting H2.
“The parasocial relationship (PSR) exhibited a strong association with INTENT, β = 0.148, SE = 0.037, t = 4.02, p < 0.001, thereby supporting H2.”
Quote in the paperSubstantial claim - Findingown data
Parasocial relationship (PSR) positively affects sustainable purchase intention (INTENT) in Greece (β = 0.163, p = 0.002).
“| H2 | PSR → INTENT | 0.148 | 0.037 | 4.023 | 0.000 | 0.163 | 0.056 | 2.931 | 0.002 | 0.162 | 0.048 | 3.361 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Green trust (TRUST) positively affects sustainable purchase intention (INTENT) in Greece (β = 0.095, p = 0.031).
“| H4 | TRUST → | 0.199 | 0.034 | 5.861 | 0.000 | 0.095 | 0.051 | 1.864 | 0.031 | 0.314 | 0.049 | 6.392 | 0.000 |”
Quote in the paperNot a substantial claim - Findingown data
Perceived influencer authenticity (AUTH) does not significantly indirectly affect sustainable purchase intention (INTENT) through green trust (TRUST) in the overall sample (β = 0.007, p = 0.225).
“| | TRUST → | 0.007 | 0.009 | 0.754 | 0.225 | 0.006 | 0.007 | 0.866 | 0.193 | -0.001 | 0.022 | 0.036 | 0.486 |”
Quote in the paperNot a substantial claim - Findingown data
Perceived influencer authenticity (AUTH) positively affects sustainable purchase intention (INTENT) in the United Kingdom (β = 0.295, p < 0.001).
“| H1 | AUTH → | 0.335 | 0.034 | 9.746 | 0.000 | 0.373 | 0.049 | 7.566 | 0.000 | 0.295 | 0.050 | 5.927 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
The interaction between prior greenwashing exposure (PGE) and green trust (TRUST) negatively affects sustainable purchase intention (INTENT) in the overall sample (β = -0.130, SE = 0.024, p < 0.001).
“| H6: PGE × TRUST | -0.098 (0.047) | -0.118 (0.031) | -0.130 (0.024) | |”
Quote in the paperSubstantial claim - Findingown data
The path from prior greenwashing exposure (PGE) to sustainable purchase intention (INTENT) differs between Greece and the United Kingdom (Δβ = -0.199, p = 0.001).
“| PGE → INTENT | -0.199 | 0.001 |”
Quote in the paperSubstantial claim- Rests on an assumption: The Greek sample is representative of the Greek population.
- Rests on an assumption: The UK sample is representative of the UK population.
- Findingown data
Green trust (TRUST) positively affects sustainable purchase intention (INTENT) in the overall sample (β = 0.199, p < 0.001).
“| H4 | TRUST → | 0.199 | 0.034 | 5.861 | 0.000 | 0.095 | 0.051 | 1.864 | 0.031 | 0.314 | 0.049 | 6.392 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Perceived greenwashing risk (PGR) negatively affects sustainable purchase intention (INTENT) in the overall sample (β = -0.049, p = 0.046).
“| H3 | PGR → INTENT | -0.049 | 0.029 | 1.683 | 0.046 | -0.053 | 0.041 | 1.282 | 0.100 | -0.053 | 0.039 | 1.356 | 0.088 |”
Quote in the paperSubstantial claim - Findingown data
The indirect effect of parasocial relationship (PSR) on sustainable purchase intention (INTENT) through green trust (TRUST) differs between Greece and the United Kingdom (Δβ = +0.046, p = 0.019).
“| PSR → TRUST → INTENT | +0.046 | 0.019 |”
Quote in the paperSubstantial claim- Rests on an assumption: The Greek sample is representative of the Greek population.
- Rests on an assumption: The UK sample is representative of the UK population.
- Findingown data
The path from green trust (TRUST) to sustainable purchase intention (INTENT) differs between Greece and the United Kingdom (Δβ = -0.219, p = 0.001).
“| TRUST → INTENT | -0.219 | 0.001 |”
Quote in the paperSubstantial claim- Rests on an assumption: The Greek sample is representative of the Greek population.
- Rests on an assumption: The UK sample is representative of the UK population.
- Findingown data
The interaction between prior greenwashing exposure (PGE) and green trust (TRUST) negatively affects sustainable purchase intention (INTENT) in Greece (β = -0.098, SE = 0.047, p = 0.018).
“| H6: PGE × TRUST | -0.098 (0.047) | -0.118 (0.031) | -0.130 (0.024) | |”
Quote in the paperSubstantial claim - Findingown data
Parasocial relationship (PSR) does not significantly indirectly affect sustainable purchase intention (INTENT) through green trust (TRUST) in Greece (β = -0.002, p = 0.390).
“| H5b | PSR → TRUST → INTENT | -0.015 | 0.010 | 1.597 | 0.055 | -0.002 | 0.007 | 0.278 | 0.390 | -0.047 | 0.022 | 2.178 | 0.015 |”
Quote in the paperNot a substantial claim - Findingown data
There are no significant conditional indirect effects of perceived influencer authenticity (AUTH) on sustainable purchase intention (INTENT) through green trust (TRUST) at any level of prior greenwashing exposure (PGE) in any sample.
“AUTH, Perceived Influencer Authenticity (no significant conditional indirects in any sample).”
Quote in the paperNot a substantial claim - Findingown data
The indirect effect of perceived greenwashing risk (PGR) on sustainable purchase intention (INTENT) through green trust (TRUST) differs between Greece and the United Kingdom (Δβ = -0.084, p = 0.003).
“| PGR → TRUST → INTENT | -0.084 | 0.003 |”
Quote in the paperSubstantial claim- Rests on an assumption: The Greek sample is representative of the Greek population.
- Rests on an assumption: The UK sample is representative of the UK population.
- Findingown data
Parasocial relationship (PSR) negatively indirectly affects sustainable purchase intention (INTENT) through green trust (TRUST) in the United Kingdom (β = -0.047, p = 0.015).
“| H5b | PSR → TRUST → INTENT | -0.015 | 0.010 | 1.597 | 0.055 | -0.002 | 0.007 | 0.278 | 0.390 | -0.047 | 0.022 | 2.178 | 0.015 |”
Quote in the paperSubstantial claim - Findingown data
Perceived influencer authenticity (AUTH) positively affects sustainable purchase intention (INTENT) in Greece (β = 0.373, p < 0.001).
“| H1 | AUTH → | 0.335 | 0.034 | 9.746 | 0.000 | 0.373 | 0.049 | 7.566 | 0.000 | 0.295 | 0.050 | 5.927 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Perceived greenwashing risk (PGR) does not significantly affect sustainable purchase intention (INTENT) in the United Kingdom (β = -0.053, p = 0.088).
“| H3 | PGR → INTENT | -0.049 | 0.029 | 1.683 | 0.046 | -0.053 | 0.041 | 1.282 | 0.100 | -0.053 | 0.039 | 1.356 | 0.088 |”
Quote in the paperNot a substantial claim - Findingown data
The interaction between prior greenwashing exposure (PGE) and green trust (TRUST) negatively affects sustainable purchase intention (INTENT) in the United Kingdom (β = -0.118, SE = 0.031, p < 0.001).
“| H6: PGE × TRUST | -0.098 (0.047) | -0.118 (0.031) | -0.130 (0.024) | |”
Quote in the paperSubstantial claim - Findingown data
Perceived greenwashing risk (PGR) positively indirectly affects sustainable purchase intention (INTENT) through green trust (TRUST) in Greece (β = 0.038, p = 0.035).
“| H5c | PGR → TRUST → INTENT | 0.078 | 0.014 | 5.429 | 0.000 | 0.038 | 0.021 | 1.816 | 0.035 | 0.122 | 0.022 | 5.511 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Parasocial relationship (PSR) positively affects sustainable purchase intention (INTENT) in the United Kingdom (β = 0.162, p < 0.001).
“| H2 | PSR → INTENT | 0.148 | 0.037 | 4.023 | 0.000 | 0.163 | 0.056 | 2.931 | 0.002 | 0.162 | 0.048 | 3.361 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Perceived greenwashing risk (PGR) does not significantly affect sustainable purchase intention (INTENT) in Greece (β = -0.053, p = 0.100).
“| H3 | PGR → INTENT | -0.049 | 0.029 | 1.683 | 0.046 | -0.053 | 0.041 | 1.282 | 0.100 | -0.053 | 0.039 | 1.356 | 0.088 |”
Quote in the paperNot a substantial claim - Findingown data
Perceived influencer authenticity (AUTH) does not significantly indirectly affect sustainable purchase intention (INTENT) through green trust (TRUST) in the United Kingdom (β = -0.001, p = 0.486).
“| | TRUST → | 0.007 | 0.009 | 0.754 | 0.225 | 0.006 | 0.007 | 0.866 | 0.193 | -0.001 | 0.022 | 0.036 | 0.486 |”
Quote in the paperNot a substantial claim - Findingown data
Perceived influencer authenticity (AUTH) does not significantly indirectly affect sustainable purchase intention (INTENT) through green trust (TRUST) in Greece (β = 0.006, p = 0.193).
“| | TRUST → | 0.007 | 0.009 | 0.754 | 0.225 | 0.006 | 0.007 | 0.866 | 0.193 | -0.001 | 0.022 | 0.036 | 0.486 |”
Quote in the paperNot a substantial claim - Findingown data
Perceived influencer authenticity (AUTH) positively affects sustainable purchase intention (INTENT) in the overall sample (β = 0.335, p < 0.001).
“| H1 | AUTH → | 0.335 | 0.034 | 9.746 | 0.000 | 0.373 | 0.049 | 7.566 | 0.000 | 0.295 | 0.050 | 5.927 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
The path from parasocial relationship (PSR) to green trust (TRUST) differs between Greece and the United Kingdom (Δβ = +0.131, p = 0.056).
“| PSR → TRUST | +0.131 | 0.056 |”
Quote in the paperNot a substantial claim- Rests on an assumption: The Greek sample is representative of the Greek population.
- Rests on an assumption: The UK sample is representative of the UK population.
- Findingown data
Green trust (TRUST) positively affects sustainable purchase intention (INTENT) in the United Kingdom (β = 0.314, p < 0.001).
“| H4 | TRUST → | 0.199 | 0.034 | 5.861 | 0.000 | 0.095 | 0.051 | 1.864 | 0.031 | 0.314 | 0.049 | 6.392 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Parasocial relationship (PSR) does not significantly indirectly affect sustainable purchase intention (INTENT) through green trust (TRUST) in the overall sample (β = -0.015, p = 0.055).
“| H5b | PSR → TRUST → INTENT | -0.015 | 0.010 | 1.597 | 0.055 | -0.002 | 0.007 | 0.278 | 0.390 | -0.047 | 0.022 | 2.178 | 0.015 |”
Quote in the paperNot a substantial claim - Findingown data
Parasocial relationship (PSR) positively affects sustainable purchase intention (INTENT) in the overall sample (β = 0.148, p < 0.001).
“| H2 | PSR → INTENT | 0.148 | 0.037 | 4.023 | 0.000 | 0.163 | 0.056 | 2.931 | 0.002 | 0.162 | 0.048 | 3.361 | 0.000 |”
Quote in the paperSubstantial claim - Findingown data
Simple-slope patterns show that TRUST → INTENT is steepest when PGE is low and flattens out as PGE goes up.
“Simple-slope patterns show that TRUST → INTENT is steepest when PGE is low and flattens out as PGE goes up.”
Quote in the paperSubstantial claim - Findingown data
Perceived greenwashing risk (PGR) positively indirectly affects sustainable purchase intention (INTENT) through green trust (TRUST) in the overall sample (β = 0.078, p < 0.001).
“| H5c | PGR → TRUST → INTENT | 0.078 | 0.014 | 5.429 | 0.000 | 0.038 | 0.021 | 1.816 | 0.035 | 0.122 | 0.022 | 5.511 | 0.000 |”
Quote in the paperSubstantial claim - Study design and conductcitation
Cross-context comparability was examined via MICOM (configural/compositional invariance; equality tests) and corroborated with multi-group checks.
“Cross-context comparability was examined via MICOM (configural/compositional invariance; equality tests) and corroborated with multi-group checks (Carranza et al., 2020;Götz et al., 2010;Ringle et al., 2015).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Carranza et al., 2020 source
- cites Götz et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Ringle et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisereasoning
Prior exposure to greenwashing (PGE) influences later message reception, resulting in learned resistance that undermines trust, even in the presence of high-quality cues.
“These patterns collectively indicate that prior exposure to greenwashing (PGE) influences later message reception, resulting in learned resistance that undermines trust, even in the presence of high-quality cues.”
Quote in the paperSubstantial claim - Interpretationown data
AUTH and PSR are non-redundant antecedents of sustainable choice.
“The notion that AUTH and PSR are non-redundant antecedents of sustainable choice is first supported by the direct effects.”
Quote in the paperSubstantial claim - Interpretationreasoning
In the presence of stronger state- and trait-skepticism indicators, AUTH contributes chiefly through a direct evaluative route.
“This does not imply that authenticity is unrelated to trust in general; rather, it suggests that in the presence of stronger state-and trait-skepticism indicators, AUTH contributes chiefly through a direct evaluative route.”
Quote in the paperSubstantial claim - Interpretationown data
Learned skepticism (PGE) makes it more challenging for TRUST to turn into intention in both countries.
“Learned skepticism (PGE), on the other hand, makes it more challenging for TRUST to turn into intention in both countries.”
Quote in the paperSubstantial claim - Premisecitation
Green trust is a proximal driver of green purchase intentions net of attitudes.
“According to meta-analytic evidence, green trust is a proximal driver of green purchase intentions net of attitudes (Chauhan and Goyal, 2024;Ha, 2022).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Chauhan and Goyal, 2024 source
- cites Ha, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Higher PGE diminishes the positive correlation between TRUST and INTENT.
“In line with H6, the moderation was negative and statistically significant in each sample, indicating that higher PGE diminishes the positive correlation between TRUST and INTENT”
Quote in the paperSubstantial claim - Study design and conductown data
The Fornell-Larcker test confirmed discriminant validity because the square root of each construct's AVE was higher than its inter-construct correlations.
“The Fornell-Larcker test confirmed that discriminant validity was legitimate as the square root of each construct's AVE was higher than its inter-construct correlations.”
Quote in the paperSubstantial claim - Study design and conductown data
Harman's single-factor test showed that the first factor explained only 26.491% of the total variance, much lower than the 50% threshold.
“Harman's single-factor test (unrotated principal factor analysis) revealed that the first factor explained only 26.491% of the total variance, which is much lower than the standard 50% threshold.”
Quote in the paperSubstantial claim - Interpretationreasoning
There is a boundary at the decision stage.
“This shows that there is a boundary at the decision stage (Table 6).”
Quote in the paperSubstantial claim - Study design and conductown data
Common method bias is not likely to affect the results.
“This means that CMB is not likely to affect the results.”
Quote in the paperSubstantial claim - Study design and conductown data
Cross-validated redundancy indicated that out-of-sample predictive relevance was supported in all cases: pooled, Greece, and the UK.
“Cross-validated redundancy indicated that outof-sample predictive relevance was supported in all cases: pooled (Q 2 : TRUST = 0.148; INTENT = 0.470), Greece (Q 2 : TRUST = 0.146; INTENT = 0.430), and the UK (Q 2 : TRUST = 0.149; Q 2 _predict INTENT = 0.513).”
Quote in the paperSubstantial claim - Interpretationown data
When people think a certain post is less likely to involve greenwashing, TRUST carries that evaluation into intention.
“This means that when people think a certain post is less likely to involve greenwashing, TRUST carries that evaluation into intention.”
Quote in the paperSubstantial claim - Interpretationown data
Learned resistance (PGE) hinders the conversion of trust into action.
“While learned resistance (PGE) hinders the conversion of trust into action”
Quote in the paperSubstantial claim - Interpretationown data
Trust is crucial for sustainable decision-making.
“but trust is crucial”
Quote in the paperSubstantial claim - Interpretationown data
These findings collectively endorse a late-stage moderated mediation: even when trust is established, its transformation into intention is less effective among audiences with extensive histories of deception.
“These findings collectively endorse a late-stage moderated mediation: even when trust is established, its transformation into intention is less effective among audiences with extensive histories of deception.”
Quote in the paperSubstantial claim- Rests on an assumption: Self-reported sustainable purchase intention is a valid proxy for actual sustainable purchase behavior.
- Interpretationown data
The indirect effects obtained through green trust (TRUST) (such as authenticity, a parasocial relationship, or a perceived risk of greenwashing) become weaker as prior greenwashing exposure (PGE) rises.
“effectsobtained through TRUST (such as authenticity, a parasocial relationship, or a perceived risk of greenwashing) become weaker as PGE rises.”
Quote in the paperSubstantial claim - Interpretationown data
PGR, assessed at the post level, indicates that reduced perceived risk fosters trust growth, subsequently enhancing intention (positive mediation).
“PGR, assessed at the post level, indicates that reduced perceived risk fosters trust growth, subsequently enhancing intention (positive mediation).”
Quote in the paperSubstantial claim - Interpretationown data
The success of trust depends on audiences' histories with greenwashing.
“and its success depends on audiences' histories with greenwashing.”
Quote in the paperSubstantial claim
- May combine two claims. 73
- Classified as probably not a substantial claim. 24
- The quote only partly states this claim. 5
May combine two claims.
PremisecitationSocial media influencers are central conduits for sustainability messaging, yet the processes by which their content converts attention into green consumer action remain insufficiently specified.
“Social media influencers are central conduits for sustainability messaging, yet the processes by which their content converts attention into green consumer action remain insufficiently specified (Khurana et al., 2025;Kılıç and Gürlek, 2024;Wang and Walker, 2023).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Khurana et al., 2025 source
The Conclusions (page not provided) say influencers educate followers about the environmental advantages of green cosmetics and encourage adoption. The Introduction (page not provided) identifies a gap in understanding how influencer credibility, brand trust, and purchase intentions relate in that market. The paper does not examine a transition from attention to actual green consumer action, and its stated research gap is specific to green cosmetics rather than sustainability messaging generally. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Kılıç and Gürlek, 2024 source
- cites Wang and Walker, 2023 source
The Appendix B intervention text mentions social media only as a source of public attention to companies. Searches for “influencers” and for social-media influence on green consumer action found no passage addressing influencer messaging or a gap in understanding how it leads to action; the paper instead examines regaining trust after greenwashing. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationConsumer skepticism is heightened by greenwashing-overstated or fabricated environmental claims-creating a climate where repeated exposure to misleading claims depresses responsiveness, even to well-intended messages.
“At the same time, consumer skepticism is heightened by greenwashing-overstated or fabricated environmental claims-creating a climate where repeated exposure to misleading claims depresses responsiveness, even to well-intended messages (Bastounis et al., 2021;Chen et al., 2015).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Bastounis et al., 2021 source
The Discussion suggests that familiarity with organic certification labels may increase trust relative to other claims. The Introduction discusses the value of accurate environmental information, but neither section addresses greenwashing, repeated exposure to misleading claims, or reduced responsiveness to well-intended messages (searched for greenwashing, skepticism, misleading claims, and trust). (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites Chen et al., 2015 source
The Conclusions and Implications (p. 14) report that greenwash is a negative determinant of green trust, supporting the claim's general link between greenwashing and consumer distrust. The paper does not address repeated exposure to misleading claims or reduced responsiveness to well-intended messages. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAUTH can build trust by lowering inferences of opportunism and increasing perceived truthfulness; PSR can build trust by lowering perceived risk through relational closeness.
“AUTH can build trust by lowering inferences of opportunism and increasing perceived truthfulness; PSR can build trust by lowering perceived risk through relational closeness.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Bastounis et al., 2021 source
The Discussion says that familiarity with organic certification labels may increase consumers’ trust in those labels. It does not address AUTH, PSR, opportunism, truthfulness, or risk reduction through relational closeness; searches for those mechanisms found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites Chen et al., 2015 source
Section 2.5 (p. 6) defines trust in terms of reliability and nonmanipulation and says increased trust reduces anxiety and uncertainty. It does not address either proposed pathway: authenticity (AUTH) reducing inferred opportunism or increasing perceived truthfulness, or parasocial relationships (PSR) reducing perceived risk through relational closeness. Searches for those terms found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites Zhuang et al., 2021 source
The Theoretical Framework (Consumer Individual Characteristics; page unavailable) says trust can reduce perceived transaction risk, but it does not address authenticity (AUTH), parasocial relationships (PSR), opportunism, truthfulness, or relational closeness. Searches for those mechanisms found no passage supporting either proposed route to trust. (LLM, conf=0.74)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationConsumer reactions to CSR vary even among neighboring nations (e.g., Greece vs. Bulgaria), indicating the necessity of empirical testing before assuming structural equivalence.
“Consumer reactions to CSR vary even among neighboring nations (e.g., Greece vs. Bulgaria), indicating the necessity of empirical testing before assuming structural equivalence (Ktisti et al., 2022;Nemes et al., 2022).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Ktisti et al., 2022 source
Section 3.3.2 (Greenwashing; page not provided) reports different consumer engagement with a greenwashing-related controversy across four countries, supporting the general point that reactions can vary by country. It does not compare Greece with Bulgaria or discuss empirical tests of structural equivalence. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Nemes et al., 2022 source
The Materials and Methods section discusses frameworks for assessing greenwashing, and the cited passages mentioning CSR do not report cross-national consumer reactions. Searches for Greece and Bulgaria, consumer responses to CSR, and structural equivalence found no passage addressing the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationInstitutional governance and socio-cultural influences collectively determine audience perceptions of trust and skepticism regarding sustainability messages; however, evidence specific to influencers remains limited.
“Cross-national research indicates that institutional governance and socio-cultural influences collectively determine audience perceptions of trust and skepticism regarding sustainability messages; however, evidence specific to influencers remains limited (Colleoni et al., 2022;Kim et al., 2025;Strycharz and Segijn, 2024).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Colleoni et al., 2022 source
Section 2.1 discusses how CSR messages can elicit trust or skepticism, and Sections 2.2 and 6 link cultural differences to perceptions of CSR campaigns. The paper chiefly reports differences in campaign recall, however; it does not establish that institutional governance and socio-cultural influences collectively determine trust and skepticism. It mentions influencers as a possible information source in Section 3.3 but does not establish a research gap specific to them. Page numbers are unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites Kim et al., 2025 source
- cites Strycharz and Segijn, 2024 source
The Discussion of Study 1 (p. 5) reports cross-national differences in trust and privacy concerns, and Theoretical Contributions (p. 11) suggests regulatory differences may help explain why governmental and legal trust matter more in the U.S. The paper concerns reactions to advertising data collection, not trust or skepticism toward sustainability messages; it also does not assess influencers or establish that governance and culture collectively determine those perceptions. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationA growing stream highlights authenticity-the perception that the creator is sincere and value-consistent-as the catalyst that turns attention into verifiable green action via trust.
“A growing stream highlights authenticitythe perception that the creator is sincere and value-consistent-as the catalyst that turns attention into verifiable green action via trust (Bastounis et al., 2021;Chen et al., 2015).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Bastounis et al., 2021 source
The Discussion says that familiarity may increase consumers’ trust in organic certification labels, and the Conclusions suggest ecolabels may encourage sustainable food purchasing. Neither passage addresses a creator’s sincerity or value-consistency, or a trust-mediated path from attention to verifiable green action. Searches for creator authenticity and that proposed mechanism found no supporting passage. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites Chen et al., 2015 source
Section 2.5 (p. 6) describes trust in terms of integrity and reliability, and the Conclusions (p. 14) find that a product’s environmental friendliness is positively associated with green trust. The paper does not examine creator authenticity, attention, or verifiable green action, so it does not support the claimed pathway from attention to action via trust. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
Study design and conductcitationρA values resided between alpha and CR, typically being at least 0.70, reinforcing reliability in both the overall and country-specific samples.
“As anticipated, ρA values resided between alpha and CR, typically being ≥ 0.70, thereby reinforcing reliability in both the overall and country-specific samples (Henseler et al., 2015(Henseler et al., , 2016)).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Henseler et al., 2015 source
The appendix passage on Cronbach’s alpha and composite reliability (page not identified in our copy) defines those measures but does not discuss ρA or say that it falls between them. The Empirical example describes an ACSI dataset, not overall and country-specific reliability results. Searches for ρA, a 0.70 reliability threshold, and country-specific samples found no passage addressing the claim. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites Henseler et al., 2016 source
Table I (p. 12) gives ρA ≥ 0.7 as a criterion for internal consistency reliability, supporting the cited reliability threshold. The Model specification section describes Cronbach’s α as a lower boundary, but does not say that ρA generally falls between α and composite reliability. The overall and country-specific values appear to be the citing authors’ results, not results attributed to this guidelines paper. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationIndicators AUTH5, PSR5, and PGE4 with loadings below 0.50 were removed for both overall and country-specific data.
“By following these rules and using (Gefen and Straub, 2005) decision logic, the model was cleaned up by getting rid of AUTH5, PSR5, and PGE4 (loadings <0.50) for both overall and country-specific data.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gefen and Straub, 2005 source
The discussion of PCA and EFA says that items that do not load properly may be dropped to purify an instrument, which supports the general decision to remove weak indicators. But the PLS Factorial Validity section says there is no established loading threshold and does not prescribe removal below 0.50. The named indicators and the overall and country-specific analyses are the citing authors’ own results, not findings attributed to Gefen and Straub. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown data74.9% of UK respondents and 78.2% of Greek respondents had followed the influencer for at least 3 months.
“74.9% of respondents in the UK and 78.2% of respondents in Greece had followed the influencer for at least 3 months, with approximately one-third reporting a duration of 1-2 years.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingown dataIn total, 707 social media users from Greece (n = 376) and the UK (n = 331) participated.
“In total, 707 social media users from Greece (n = 376) and the UK (n = 331) participated (Table 1).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe majority of respondents were between the ages of 25 and 44, had relatively high levels of education, and the gender composition was similar across nations.
“The majority of respondents were between the ages of 25 and 44, had relatively high levels of education (Bachelor's degree or above), and the gender composition was similar across nations.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPGR affects intention via TRUST in all samples, with effects diminishing as PGE rises.
“Conditional-indirect analyses indicate that PGR affects intention via TRUST in all samples, with effects diminishing as PGE rises”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the UK, TRUST had a stronger effect on INTENT (β = 0.314, SE = 0.049, t = 6.39, p < 0.001), supporting H4.
“TRUST had a stronger effect on INTENT (β = 0.314, SE = 0.049, t = 6.39,p < 0.001), which supports H4.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Greece, the indirect effect from PGR to TRUST to INTENT was significant, β = 0.038, SE = 0.021, t = 1.82, p = 0.035; H5c was supported.
“The indirect effect from PGR to TRUST to INTENT was significant, with β = 0.038, SE = 0.021, t = 1.82, and p = 0.035 (H5c supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the overall sample, the PGR → TRUST → INTENT indirect effect was significant and positive, β = 0.078, SE = 0.014, t = 5.43, p < 0.001; H5c was supported.
“On the other hand, the PGR → TRUST → INTENT indirect effect was significant and positive, β = 0.078, SE = 0.014, t = 5.43, p < 0.001 (H5c supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the UK, PSR → TRUST → INTENT is negative at all PGE levels (CIs exclude 0) and gradually becomes less negative as PGE increases.
“In the UK, PSR → TRUST → INTENT is negative at all PGE levels (CIs exclude 0) and gradually becomes less negative as PGE increases.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAUTH → INTENT and PSR → INTENT are both positive and significant across the pooled sample and within each country, with AUTH generally being the stronger predictor.
“AUTH → INTENT and PSR → INTENT are both positive and significant across the pooled sample and within each country, with AUTH generally being the stronger predictor (H1-H2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the United Kingdom, the indirect effect from PGR to TRUST to INTENT was important and positive, β = 0.122, SE = 0.022, t = 5.51, p < 0.001; H5c was supported.
“The indirect effect from PGR to TRUST to INTENT was important and positive, with a value of β = 0.122, SE = 0.022, t = 5.51, and p < 0.001 (H5c supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the UK, AUTH (β = 0.295, SE = 0.050, t = 5.93, p < 0.001) and PSR (β = 0.162, SE = 0.048, t = 3.36, p < 0.001) predicted INTENT, supporting H1-H2.
“AUTH (β = 0.295, SE = 0.050, t = 5.93, p < 0.001) and PSR (β = 0.162, SE = 0.048, t = 3.36, p < 0.001) again predicted INTENT in the UK (H1-H2 supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the United Kingdom, the indirect effect of AUTH → TRUST → INTENT was not significant, β = -0.001, SE = 0.022, t = 0.04, p = 0.486; H5a was not supported.
“In the United Kingdom, the indirect effect of AUTH → TRUST → INTENT was not significant, with β = -0.001,SE = 0.022, t = 0.04, and p = 0.486 (H5a not supported).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenBoth samples were frequently exposed to influencer content about sustainability.
“Both samples were frequently exposed to influencer content about sustainability.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe addition of the PGE × TRUST interaction enhanced the explained variance in INTENT across all samples: overall R2 rose from 0.398 to 0.532 (ΔR2 = 0.134), in Greece from 0.403 to 0.467 (ΔR2 = 0.064), and in the UK from 0.432 to 0.629 (ΔR2 = 0.197).
“The addition of the interaction term (PGE × TRUST) enhanced the explained variance in INTENT across all samples: the overall model R 2 rose from 0.398 to 0.532 (ΔR 2 = 0.134), in Greece from 0.403 to 0.467 (ΔR 2 = 0.064), and in the United Kingdom from 0.432 to 0.629 (ΔR 2 = 0.197), signifying significant incremental predictive power.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Greece, neither AUTH → TRUST → INTENT (β = 0.006, SE = 0.007, t = 0.87, p = 0.193) nor PSR → TRUST → INTENT (β = -0.002, SE = 0.007, t = 0.28, p = 0.390) achieved statistical significance; H5a and H5b were not supported.
“In Greece, neither AUTH → TRUST → INTENT (β = 0.006, SE = 0.007, t = 0.87, p = 0.193) nor PSR → TRUST → INTENT (β = -0.002,SE = 0.007, t = 0.28, p = 0.390) achieved statistical significance (H5a, H5b not supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the UK, PGR was not significant (β = -0.053, SE = 0.039, t = 1.36, p = 0.088), not supporting H3.
“PGR was not significant (β = -0.053,SE = 0.039, t = 1.36, p = 0.088), thus not supporting H3.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the overall sample, the PSR → TRUST → INTENT pathway was not significant, β = -0.015, SE = 0.010, t = 1.60, p = 0.055; H5b was not supported.
“The PSR → TRUST → INTENT pathway was not significant, β = -0.015,SE = 0.010, t = 1.60, p = 0.055 (H5b not supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Greece, AUTH (β = 0.373, SE = 0.049, t = 7.57, p < 0.001) and PSR (β = 0.163, SE = 0.056, t = 2.93, p = 0.002) predicted INTENT, supporting H1-H2.
“In Greece, AUTH (β = 0.373, SE = 0.049, t = 7.57, p < 0.001) and PSR (β = 0.163, SE = 0.056, t = 2.93, p = 0.002) were able to predict INTENT (H1-H2 supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe indirect path from PSR to TRUST to INTENT was stronger in Greece (Δβ = +0.046, p = 0.019); the difference from PSR to TRUST was small (Δβ = +0.131, p = 0.056).
“On the contrary, the indirect path from PSR to TRUST to INTENT was stronger in Greece (Δβ = +0.046,p = 0.019); the difference from PSR to TRUST was small (Δβ = +0.131,p = 0.056).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPerceived greenwashing risk demonstrated a minor negative impact on INTENT, β = -0.049, SE = 0.029, t = 1.68, p = 0.046; H3 garnered limited support in the overall data.
“Perceived greenwashing risk (PGR) demonstrated a minor negative impact on INTENT, β = -0.049,SE = 0.029, t = 1.68, p = 0.046; consequently, H3 garnered limited support in the overall data.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe moderation was negative and statistically significant in each sample: overall β = -0.130, SE = 0.024, t = 5.36, p < 0.001; Greece β = -0.098, SE = 0.047, t = 2.10, p = 0.018; UK β = -0.118, SE = 0.031, t = 3.85, p < 0.001.
“In line with H6, the moderation was negative and statistically significant in each sample, indicating that higher PGE diminishes the positive correlation between TRUST and INTENT (Overall: β = -0.130,SE = 0.024, t = 5.36, p < 0.001; Greece: β = -0.098,SE = 0.047, t = 2.10, p = 0.018; UK: β = -0.118,SE = 0.031, t = 3.85, p < 0.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAlthough AUTH has a strong direct effect on INTENT, the AUTH → TRUST → INTENT path is not significant.
“Although AUTH has a strong direct effect on INTENT, the AUTH → TRUST → INTENT path is not significant.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the overall sample, the indirect effect of AUTH → TRUST → INTENT was not significant, β = 0.007, SE = 0.009, t = 0.75, p = 0.225; H5a was not supported.
“In the overall sample, the indirect effect of AUTH → TRUST → INTENT was not significant, with β = 0.007, SE = 0.009, t = 0.75, and p = 0.225 (H5a not supported).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Greece, the PGR → TRUST → INTENT indirect was significant at low and mean PGE but not at high PGE: low b = 0.077, CI (0.027, 0.135), p = 0.009; mean b = 0.045, CI (0.013, 0.085), p = 0.019; high b = 0.013, CI (-0.022, 0.055), p = 0.282.
“In Greece, the PGR → TRUST → INTENT indirect was significant at low and mean PGE but not at high PGE.This shows that the effect gets weaker as PGE increases [low: b = 0.077, CI (0.027, 0.135), p = 0.009; mean: b = 0.045, CI (0.013, 0.085), p = 0.019; high: b = 0.013, CI (-0.022, 0.055), p = 0.282].”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataRespondents' familiarity with eco-labels ranged from moderate to high, and the majority had previously bought a product based on an influencer's recommendation.
“Overall, respondents' familiarity with eco-labels ranged from moderate to high, and the majority had previously bought a product based on an influencer's recommendation.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMulti-group tests revealed that PGE → INTENT and TRUST → INTENT were significantly weaker in Greece compared to the UK (Δβ = -0.199, p = 0.001; Δβ = -0.219, p = 0.001).
“Multi-group tests revealed that PGE → INTENT and TRUST → INTENT were significantly weaker in Greece compared to the UK (Δβ = -0.199,p = 0.001; Δβ = -0.219,p = 0.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAs PGE goes up, the PGR → TRUST → INTENT indirect effect goes down; in Greece it goes from 0.077 to a nonsignificant 0.013, and in the UK it goes from 0.175 to 0.091 (all significant).
“As PGE goes up, the PGR → TRUST → INTENT indirect effect goes down (downward line).In Greece, it goes from 0.077 to a nonsignificant 0.013, and in the UK, it goes from 0.175 to 0.091 (all significant).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSubsample analyses indicated similar explanatory power for Greece (R2: TRUST = 0.163; INTENT = 0.467) and greater variance explained for the UK (R2: TRUST = 0.169; INTENT = 0.629).
“Subsample analyses indicated similar explanatory power for Greece (R 2 : TRUST = 0.163; INTENT = 0.467) and a greater variance explained for the UK (R 2 : TRUST = 0.169; INTENT = 0.629).”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataIn the United Kingdom, the indirect effect of parasocial relationship (PSR) on sustainable purchase intention (INTENT) through green trust (TRUST) is negative and significant at low (-1 SD: β = -0.074, 95% CI [-0.124, -0.025], p = 0.006), mean (β = -0.057, 95% CI [-0.101, -0.020], p = 0.010), and high (+1 SD: β = -0.039, 95% CI [-0.085, -0.012], p = 0.033) levels of prior greenwashing exposure (P.
“| United Kingdom | PSR | -1 SD | -0.074 | [-0.124, -0.025] | 0.006 |”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe conditional indirects work the same way: PGR → TRUST → INTENT is most powerful at low PGE and weakest at higher PGE (still significant overall and in the United Kingdom, but not in Greece).
“The conditional indirects work the same way: PGR → TRUST → INTENT is most powerful low PGE and weakest at higher PGE (still significant overall and in the United Kingdom, but not in Greece).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTRUST has a more significant connection to INTENT in the UK than in Greece, and PGE has a stronger relationship to INTENT in the UK.
“First, TRUST has a more significant connection to INTENT in the UK than in Greece, and PGE has a stronger relationship to INTENT in the UK.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataPerceived greenwashing risk (PGR) positively indirectly affects sustainable purchase intention (INTENT) through green trust (TRUST) in the United Kingdom (β = 0.122, p < 0.001).
“| H5c | PGR → TRUST → INTENT | 0.078 | 0.014 | 5.429 | 0.000 | 0.038 | 0.021 | 1.816 | 0.035 | 0.122 | 0.022 | 5.511 | 0.000 |”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAdding the PGE × TRUST interaction significantly raises the explained variance in INTENT (ΔR2 = 0.134 overall; 0.064 Greece; 0.197 United Kingdom), and the interaction is negative in both countries.
“Adding the PGE × TRUST interaction significantly raises the explained variance in INTENT (ΔR 2 = 0.134 overall; 0.064 Greece; 0.197 United Kingdom), and the interaction is negative in both countries.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAdding the PGE × TRUST interaction increases the explained variance (R2) of sustainable purchase intention (INTENT) by 0.134 in the overall sample, 0.064 in Greece, and 0.197 in the United Kingdom.
“| Δ 2 R | | 0.064 | 0.197 | 0.134 |”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIn the United Kingdom, the indirect effect of perceived greenwashing risk (PGR) on sustainable purchase intention (INTENT) through green trust (TRUST) is positive and significant at low (-1 SD: β = 0.175, 95% CI [0.131, 0.225], p < 0.001), mean (β = 0.133, 95% CI [0.096, 0.178], p < 0.001), and high (+1 SD: β = 0.091, 95% CI [0.047, 0.144], p = 0.001) levels of prior greenwashing exposure (PGE).
“| United Kingdom | PGR | -1 SD | 0.175 | [0.131, 0.225] | < 0.001 |”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataIn the overall sample, the indirect effect of perceived greenwashing risk (PGR) on sustainable purchase intention (INTENT) through green trust (TRUST) is positive and significant at low (-1 SD: β = 0.135, 95% CI [0.102, 0.169], p < 0.001), mean (β = 0.089, 95% CI [0.064, 0.117], p < 0.001), and high (+1 SD: β = 0.043, 95% CI [0.013, 0.075], p = 0.012) levels of prior greenwashing exposure (PGE).
“| Overall | PGR | -1 SD | 0.135 | [0.102, 0.169] | < 0.001 |”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe mediated PGR → TRUST → INTENT path is less potent in Greece, while the PSR-based mediation is stronger there.
“Second, the mediated PGR → TRUST → INTENT path is less potent in Greece, while the PSR-based mediation is stronger there.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataIn Greece, the indirect effect of perceived greenwashing risk (PGR) on sustainable purchase intention (INTENT) through green trust (TRUST) is significant at low (-1 SD: β = 0.077, 95% CI [0.027, 0.135], p = 0.009) and mean (β = 0.045, 95% CI [0.013, 0.085], p = 0.019) levels of prior greenwashing exposure (PGE), but not at high (+1 SD: β = 0.013, 95% CI [-0.022, 0.055], p = 0.282).
“| Greece | PGR | -1 SD | 0.077 | [0.027, 0.135] | 0.009 |”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenData were anonymized/pseudonymized, stored on encrypted drives, and processed under GDPR principles.
“Data were anonymized/pseudonymized, stored on encrypted drives, and processed under GDPR principles (lawfulness, transparency, purpose limitation, data minimization, storage limitation, integrity/confidentiality).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe target sample size was N ≈ 600 (≈300 per country), set to exceed ≈10:1 observations-to-parameter ratios for SEM, enable multi-group comparisons, and achieve 0.80-0.90 power for small-to-moderate structural effects, latent interactions, and conditional indirect effects.
“The target was N ≈ 600 (≈300 per country), set to exceed ≈10:1 observations-to-parameter ratios for SEM, enable multi-group comparisons, and achieve 0.80-0.90power for small-to-moderate structural effects, latent interactions (PGE × AUTH; PGE × PSR → TRUST), and conditional indirect effects.”
Quote in the paperSubstantial claimMay combine two claims.
PremisereasoningAUTH and PSR provide evidentiary and relational routes to claim credibility, respectively.
“Drawing on signaling/attribution accounts (value-claim congruence) and parasocial interaction/trust-transfer logic (relational closeness), AUTH and PSR provide evidentiary and relational routes to claim credibility, respectively.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenFew studies pit AUTH and PSR in the same model to adjudicate their relative influence on TRUST; person-level deception histories are rarely incorporated as moderators of trust formation; and cross-national measurement/structural invariance is seldom tested.
“This design addresses three gaps: (i) few studies pit AUTH and PSR in the same model to adjudicate their relative influence on TRUST; (ii) person-level deception histories are rarely incorporated as moderators of trust formation; and (iii) cross-national measurement/structural invariance is seldom tested.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataReliability, convergent validity, and discriminant validity were assessed before structural analyses.
“reliability (Cronbach's α, composite reliability), convergent validity (AVE), and discriminant validity (HTMT) were assessed before structural analyses.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenIn the main study, internal consistency (α, composite reliability), convergent validity (AVE ≥ 0.50), and discriminant validity (HTMT) were assessed; lowloading reflective items were retained only if construct reliability and AVE remained adequate.
“In the main study, internal consistency (α, composite reliability), convergent validity (AVE ≥ 0.50), and discriminant validity (HTMT) were assessed; lowloading reflective items were retained only if construct reliability and AVE remained adequate.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenPre-registered exclusions removed speeders, inattentive responders (failed instructed-response item), straightliners, suspected duplicates/bots (IP/device, country mismatch), and anchor failures (unable to describe the post or time window violations).
“Pre-registered exclusions removed speeders, inattentive responders (failed instructed-response item), straightliners, suspected duplicates/bots (IP/device, country mismatch), and anchor failures (unable to describe the post or time window violations).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Study design and conductnone givenThe survey-only plan delivers ecological validity of recalled exposures, sufficient power for moderated mediation, cross-national comparability, and adherence to contemporary standards of measurement quality and research ethics.
“Overall, the survey-only plan delivers ecological validity of recalled exposures, sufficient power for moderated mediation, cross-national comparability, and adherence to contemporary standards of measurement quality and research ethics.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationFor single-country analyses, N ≥ 400 was maintained to stabilize bootstrap intervals for moderated mediation.
“For single-country analyses, N ≥ 400 was maintained to stabilize bootstrap intervals for moderated mediation (Janadari et al., 2016;Kock and Hadaya, 2018;Wagner and Grimm, 2023).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataA pilot (n ≈ 60-80 per country) confirmed variance in AUTH/PSR, clarity of instructions, and item comprehension; minor wording refinements followed cognitive interviews.
“A pilot (n ≈ 60-80 per country) confirmed variance in AUTH/PSR, clarity of instructions, and item comprehension; minor wording refinements followed cognitive interviews.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe measurement scales were forward-back translated and reconciled with the committee and conceptual equivalence cognitive interviews.
“They were forward-back translated and reconciled with the committee and conceptual equivalence cognitive interviews; reliability (Cronbach's α, composite reliability), convergent validity (AVE), and discriminant validity (HTMT) were assessed before structural analyses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenTo mitigate common-method bias, item blocks were separated by brief fillers, items were randomized within blocks, and a short marker scale (social desirability) was included for sensitivity analyses.
“To mitigate common-method bias, item blocks were separated by brief fillers, items were randomized within blocks, and a short marker scale (social desirability) was included for sensitivity analyses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll focal constructs were assessed using multi-item, 5-point Likert-type scales tailored to the influencer/sustainability context and anchored to the respondent's most recent experience.
“All focal constructs were assessed using multi-item, 5-point Likerttype scales (1 = strongly disagree, 5 = strongly agree) tailored to the influencer/sustainability context and anchored to the respondent's most recent experience (Supplementary Table S1).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataOverall, trust is a stronger predictor of intention in the UK, while PSR-based trust transmission is stronger in Greece.
“In overall, trust is a stronger predictor of intention in the UK, while PSR-based trust transmission is stronger in Greece (Table 9).”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataConvergent validity was confirmed because average variance extracted surpassed 0.50; where AVE was marginally below 0.50, composite reliability greater than 0.60 satisfied the Fornell-Larcker acceptability criterion.
“Convergent validity was confirmed whereas the average variance extracted (AVE) surpassed 0.50, in certain cases where AVE was marginally below 0.50, a composite reliability (CR) greater than 0.60 satisfied, the Fornell-Larcker acceptability criterion (Fornell and Larcker, 1981).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fornell and Larcker, 1981 source
May combine two claims.
Interpretationown dataThis attenuation is most consistent for PGR in both countries; in the UK, PSR also has a small negative mediated effect that gets weaker (but stays the same) as PGE rises.
“This attenuation is most consistent for PGR in both countries; in the UK, PSR also has a small negative mediated effect that gets weaker (but stays the same) as PGE rises.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataConditional indirect effects show that while PSR has a minor negative mediated component in the UK, post-level perceived greenwashing risk (PGR) functions via TRUST.
“Additionally, conditional indirect effects show that while PSR has a minor negative mediated component in the UK, which is consistent with persuasion-knowledge activation, over-familiarity, and expectation-violation dynamics in disclosure-salient contexts, post-level perceived greenwashing risk (PGR) functions via TRUST.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataConfigural and compositional invariance were validated, facilitating meaningful multi-group comparisons of structural relationships.
“Configural and compositional invariance were validated, facilitating meaningful multi-group comparisons of structural relationships.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningPGE moderates the TRUST → INTENT path, therefore any TRUST-mediated paths to INTENT are conditional on PGE.
“PGE moderates the TRUST → INTENT path, therefore any TRUST-mediated paths to INTENT are conditional on PGE.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn the authors' specification, TRUST is explained primarily by post-level claim diagnostics (PGR), with learned skepticism (PGE) further shaping how trust translates into intention, which may leave limited incremental variance for AUTH to explain within the trust equation.
“In our specification, TRUST is explained primarily by post-level claim diagnostics (PGR), with learned skepticism (PGE) further shaping how trust translates into intention, which may leave limited incremental variance for AUTH to explain within the trust equation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningWhen closeness is high, audiences may expect the influencer to be more consistent and open, so any ambiguity in green claims or disclosure cues is seen as a violation of those expectations, which lowers TRUST even though affinity remains the same.
“When closeness is high, audiences may expect the influencer to be more consistent and open, so any ambiguity in green claims or disclosure cues is seen as a violation of those expectations, which lowers TRUST even though affinity remains the same.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAUTH and PSR are both direct, positive predictors of INTENT, TRUST adds incremental explanatory power, and learned skepticism (PGE) consistently reduces the payoff of TRUST at the decision stage.
“We find a consistent pattern across two national contexts (Greece, UK) using variance-based SEM with nonparametric bootstrapping (Hair et al., 2011) and bias-corrected (BCa) procedures for indirect effects: AUTH and PSR are both direct, positive predictors of sustainable purchase intention (INTENT), TRUST adds incremental explanatory power, and learned skepticism (PGE) consistently reduces the pay”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hair et al., 2011 source
- Rests on an assumption: Self-reported sustainable purchase intention is a valid proxy for actual sustainable purchase behavior.
May combine two claims.
Interpretationown dataThe positive indirect effect indicates that lower perceived greenwashing risk increases TRUST, which in turn increases INTENT.
“Accordingly, the positive indirect effect indicates that lower perceived greenwashing risk increases TRUST, which in turn increases INTENT.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese findings suggest late-stage moderated mediation: mediated effects conveyed through TRUST are most pronounced when audiences indicate reduced prior greenwashing exposure and diminish as PGE increases.
“In conjunction with the previously reported significant PGE × TRUST interaction, these findings suggest late-stage moderated mediation: mediated effects conveyed through TRUST are most pronounced when audiences indicate reduced prior greenwashing exposure and diminish as PGE increases.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataOverall, the measures demonstrate strong internal consistency and construct validity.
“Overall, the measures demonstrate strong internal consistency and construct validity.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn general, the mediated effects of TRUST are strongest for low-PGE audiences yet become weaker when they have experienced greenwashing before.
“In general, the mediated effects of TRUST are strongest for low-PGE audiences yet become weaker when they have experienced greenwashing before (Table 8).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataOverall, mediation via TRUST was consistently observed for PGR (H5c) in all samples, absent for AUTH (H5a), and sample-contingent for PSR (H5b; significant and negative in the UK only).
“Overall, mediation via TRUST was consistently observed for PGR (H5c) in all samples, absent for AUTH (H5a), and sample-contingent for PSR (H5b; significant and negative in the UK only).”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe PSR result in the UK aligns with persuasion-knowledge theories: in a context where commercial intent and disclosure cues are more likely to be foregrounded, greater perceived closeness can amplify scrutiny and make trust more vulnerable to perceived ambiguity, while warmth directly reinforces intention.
“The PSR result in the UK aligns with persuasion-knowledge theories: in a context where commercial intent and disclosure cues are more likely to be foregrounded, greater perceived closeness can amplify scrutiny and make trust more vulnerable to perceived ambiguity, while warmth directly reinforces intention.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAuthenticity and parasocial connection are important for sustainable decision-making.
“In conclusion, authenticity and parasocial connection are important for sustainable decision-making”
Quote in the paperSubstantial claim- Rests on an assumption: Sustainable purchase intention translates into sustainable decision-making or behavior.
Classified as probably not a substantial claim.
Study design and conductnone givenThe dependent variable is intention rather than verified behavior.
“Second, the dependent variable is intention rather than verified behavior; external validity would be improved by incorporating behavioral telemetry (click-through, basket data) or incentive-compatible choice.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe design is cross-sectional and recall-anchored.
“First, the design is cross-sectional and recall-anchored; panel designs or field experiments that alter disclosure regimes or claim verifiability over time would corroborate causal claims.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningLarger mediated effects are anticipated at low prior greenwashing exposure (PGE) and smaller effects at high PGE, consistent with the negative PGE × TRUST interaction.
“under this framework, larger mediated effects are anticipated at low PGE and smaller effects at high PGE, consistent with the negative PGE × TRUST interaction.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataPGE does not aim to foster trust in the authors' specification; instead, it diminishes the benefits of trust at the final stage (H6).
“PGE-accumulated experience with misleading green claims-does not aim to foster trust in our specification; instead, it diminishes the benefits of trust at the final stage (H6).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataTRUST is a proximal hinge whose marginal impact depends on PGE, while AUTH and PSR are parallel, partially independent routes to intention.
“The findings render it obvious that TRUST is a proximal hinge whose marginal impact depends on PGE, while AUTH and PSR are parallel, partially independent routes to intention.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe mediated penalty is significant as it is exclusive to the UK, which may reflect heightened attention to disclosure and advertising-intent cues, resulting in a more sensitive trust calculus in the presence of high PSR.
“This mediated penalty is significant as it is exclusive to the UK, which may reflect heightened attention to disclosure and advertising-intent cues, resulting in a more sensitive trust calculus in the presence of high PSR.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningPSR still has a positive direct effect on INTENT, meaning two opposite mechanisms are at work: warmth and familiarity assist individuals in arriving at choices directly, and a trust-channel penalty works against it when people are skeptical.
“The fact that PSR still has a positive direct effect on INTENT means that there are two opposite mechanisms at work: warmth and familiarity, which assist individuals in arriving at choices directly, and a trust-channel penalty, which works against it when people are skeptical.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningUK audiences depend more on claim-quality signals and penalize PSR through the trust channel under skepticism, whereas Greek audiences attribute greater significance to relational cues in establishing trust once measurement equivalence is guaranteed.
“One interpretation posits that UK audiences depend more on claimquality signals and penalize PSR through the trust channel under skepticism, whereas Greek audiences attribute greater significance to relational cues in establishing trust once measurement equivalence is guaranteed.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataOnce configural and compositional invariance are confirmed, cross-national contrasts can be effectively analyzed.
“Once configural and compositional invariance are confirmed, cross-national contrasts can be effectively analyzed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe architecture generalizes across Greece.
“The architecture generalizes across Greece”
Quote in the paperNot a substantial claim- Rests on an assumption: The Greek sample is representative of the Greek population.
May combine two claims.
Interpretationown dataPost-level risk assessments (PGR) positively influence trust and intention.
“post-level risk assessments (PGR) positively influence trust and intention.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The UK's ASA/CAP and CMA combine guidance with active enforcement (like the Green Claims Code and sector sweeps) on the regulatory side.
“The UK's ASA/ CAP and CMA combine guidance with active enforcement (like the Green Claims Code and sector sweeps) on the regulatory side.”
The paper relies on this without support.
The EU's approach, which is relevant to Greece, focuses on standardized substantiation, third-party verification, and life-cycle disclosure under the Greenwashing and Green Claims Directives.
“The EU's approach, which is relevant to Greece, focuses on standardized substantiation, third-party verification, and life-cycle disclosure under the Greenwashing and Green Claims Directives.”
The paper relies on this without support.
These regimes converge normatively by limiting ambiguous assertions and increasing evidentiary requirements; however, they differ in implementation pace, enforcement relevance, and signal clarity, likely resulting in distinct informational environments for UK and EU audiences.
“These regimes converge normatively by limiting ambiguous assertions and increasing evidentiary requirements; however, they differ in implementation pace, enforcement relevance, and signal clarity, likely resulting in distinct informational environments for UK and EU audiences.”
The paper relies on this without support.
Regulators—particularly in the EU—are moving toward stricter substantiation, specific disclosures, and scannable evidence, increasing pressure on creators to be transparent without eroding perceived sincerity.
“Regulators-particularly in the EUare moving toward stricter substantiation, specific disclosures, and scannable evidence, increasing pressure on creators to be transparent without eroding perceived sincerity.”
The paper relies on this without support.
Self-reported sustainable purchase intention is a valid proxy for actual sustainable purchase behavior.
“Second, the dependent variable is intention rather than verified behavior; external validity would be improved by incorporating behavioral telemetry (click-through, basket data) or incentive-compatible choice.”
The paper relies on this without support.
PGE is trait-like and PGR is state-like.
“A crucial contribution is the concurrent analysis of trait-like PGE and state-like PGR.”
The paper relies on this without support.
The Greek sample is representative of the Greek population.
“The architecture generalizes across Greece”
The paper relies on this without support.
The UK sample is representative of the UK population.
“| PGE → INTENT | -0.199 | 0.001 |”
The paper relies on this without support.
Sustainable purchase intention translates into sustainable decision-making or behavior.
“In conclusion, authenticity and parasocial connection are important for sustainable decision-making”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Structural invariance claim conflicts with significant country differences
MajorThe paper claims structural invariance across Greece and the UK, but reports significant cross-national differences in several structural paths. Those differences do not support a claim of structural invariance.
“Cross-national comparability is supported by measurement and structural invariance.”
“Multi-group tests revealed that PGE → INTENT and TRUST → INTENT were significantly weaker in Greece compared to the UK (Δβ = -0.199,p = 0.001; Δβ = -0.219,p = 0.001).”
Neither country met the stated single-country sample minimum
MinorThe methods say at least 400 observations were maintained for single-country analyses, but the reported samples contain 376 and 331 participants.
“For single-country analyses, N ≥ 400 was maintained to stabilize bootstrap intervals for moderated mediation”
“In total, 707 social media users from Greece (n = 376) and the UK (n = 331) participated (Table 1).”
A nonsignificant path appears in a table titled significant paths
MinorTable 9 is titled as containing significant cross-national paths, yet its PSR-to-TRUST row reports p = 0.056. The paper elsewhere treats p = 0.055 as nonsignificant.
“Table: 9 TABLE 9 Significant cross-national multi-group path.”
“| PSR → TRUST | +0.131 | 0.056 |”
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“We find a consistent pattern across two national contexts (Greece, UK) using variance-based SEM with nonparametric bootstrapping (Hair et al., 2011) and bias-corrected (BCa) procedures for indirect effects: AUTH and PSR are both direct, positive predictors of sustainable purchase intention…”
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“Prior Greenwashing Exposure (PGE) (4 items, Mohr et al., 1998) has assessed learned experience with misleading green claims (e.g., “In the last 12 months I have frequently been confronted with sustainability promises that afterwards proved mislead-ing”).”
Cross‐sectional studies – what are they good for?
Kesmodel, U. S. (2018) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.13331 · Cited by 527 · cited 1× · see citing works
“To investigate conditional processes in sustainable influencer marketing, we conducted a quantitative, cross-sectional online survey (Kesmodel, 2018; Olsen and St George, 2004).”
On the factors influencing green purchase intention: a meta-analysis approach
Zhuang, W., Luo, X., & Riaz, M. U. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.644020 · Cited by 440 · see citing works
Nyimbili, F., & Nyimbili, L. (2024) · British Journal of Multidisciplinary and Advanced Studies · doi:10.37745/bjmas.2022.0419 · Cited by 406 · cited 1× · see citing works
“The design investigated latent interactions, moderated mediation, and SEM requirements for validity and reliability (Campbell et al., 2020; Nyimbili and Nyimbili, 2024; Suen et al., 2014).”
[A comparison of convenience sampling and purposive sampling].
Suen, L.-J. W., Huang, H., & Lee, H. (2014) · PubMed · doi:10.6224/jn.61.3.105 · Cited by 235 · cited 1× · see citing works
“The design investigated latent interactions, moderated mediation, and SEM requirements for validity and reliability (Campbell et al., 2020; Nyimbili and Nyimbili, 2024; Suen et al., 2014).”
An Integrated Framework to Assess Greenwashing
Nemes, N., Scanlan, S. J., Smith, P., Smith, T., Aronczyk, M., Hill, S., Lewis, S. L., Montgomery, A. W., Tubiello, F. N., & Stabinsky, D. (2022) · Sustainability · doi:10.3390/su14084431 · Cited by 212 · cited 1× · see citing works
“Consumer reactions to CSR vary even among neighboring nations (e.g., Greece vs. Bulgaria), indicating the necessity of empirical testing before assuming structural equivalence (Ktisti et al., 2022; Nemes et al., 2022).”
Chen, Y.-S., Lin, C.-Y., & Weng, C.-S. (2015) · Sustainability · doi:10.3390/su70810135 · Cited by 207 · see citing works
Greenwash and green purchase behavior: an environmentally sustainable perspective
Hameed, I., Hyder, Z., Imran, M., & Shafiq, K. (2021) · Environment Development and Sustainability · doi:10.1007/s10668-020-01202-1 · Cited by 207 · cited 1× · see citing works
“Perceived Greenwashing Risk (PGR) with 4 items (Chen and Chang, 2013; Hameed et al., 2021) assessed message-level distrust (e.g., “This post might be exaggerating its credentials of being sustainable”; “There is a possibility the claims are not so accurate”).”
Xiao-hua, C., Hyun, S. S., & Lee, T. J. (2022) · International Journal of Tourism Research · doi:10.1002/jtr.2522 · Cited by 193 · cited 3× · see citing works
“…in how verification, disclosure, and “machine heuristic” cues shape trust, creator heterogeneity (micro vs. macro; human vs. virtual) should be investigated within the same conditional-process framework (Breves and Liebers, 2025; Chen et al., 2022; Kalam et al., 2024; Kim and Wang, 2024).”
Bi, N. C., & Zhang, R. (2023) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-08-2021-0214 · Cited by 170 · cited 3× · see citing works
“Additionally, PSR includes the relational path to persuasion: people who feel a stronger one-sided connection with an influencer are considered usually more credible and have better attitudes and behaviors (Bi and Zhang, 2023).”
InfluentialGarg, M., & Bakshi, A. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02760-9 · Cited by 165 · cited 1× · see citing works
“Second, audiences’ perceived risk of greenwashing can directly reduce purchase intentions and raise the bar for trust-based persuasion, making sustainability contexts especially prone to skepticism (Chen et al., 2022; Garg and Bakshi, 2024).”
Being True to Oneself: Investigating Celebrity Brand Authenticity
Ilicic, J., & Webster, C. M. (2016) · Psychology and Marketing · doi:10.1002/mar.20887 · Cited by 152 · cited 1× · see citing works
“Perceived Influencer Authenticity (AUTH) 5 items, adapted from (Campagna et al., 2023; Ilicic and Webster, 2016) measured value congruence, sincerity, and consistency (e.g., “This creator appeared authentic in that post”; “The message aligned with the creator’s typical values/persona”).”
Brand authenticity: literature review, comprehensive definition, and an amalgamated scale
Campagna, C. L., Donthu, N., & Yoo, B. (2022) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2021.2018937 · Cited by 144 · cited 1× · see citing works
“Perceived Influencer Authenticity (AUTH) 5 items, adapted from (Campagna et al., 2023; Ilicic and Webster, 2016) measured value congruence, sincerity, and consistency (e.g., “This creator appeared authentic in that post”; “The message aligned with the creator’s typical values/persona”).”
Influencers on Social Media as References: Understanding the Importance of Parasocial Relationships
Su, B.-C., Wu, L., Chang, Y.-Y.-C., & Hong, R.-H. (2021) · Sustainability · doi:10.3390/su131910919 · Cited by 134 · cited 2× · see citing works
“…pathway is a recurring theme in the literature, wherein assessments of green claims are influenced by perceived authenticity and credibility, ultimately resulting in pro-environmental intentions, often through mechanisms related to trust (Su et al., 2021; Wu et al., 2025; Wan et al., 2025).”
The persuasive power of social media influencers in brand credibility and purchase intention
Liu, X., & Zheng, X. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-02512-1 · Cited by 129 · cited 4× · see citing works
“…research demonstrating that parasocial ties increase receptivity and perceived benevolence, which can permeate endorsed claims (Bi and Zhang, 2023; Liu and Zheng, 2024; Ye et al., 2024), as well as work positioning authenticity as value-congruent, evidence-compatible signaling that lowers…”
InfluentialBreves, P. L., & Liebers, N. (2022) · Environmental Communication · doi:10.1080/17524032.2022.2109708 · Cited by 115 · cited 2× · see citing works
“This backs up the idea that closeness in relationships can be a powerful tool for influencers to use when they talk to people (Breves and Liebers, 2025; Breves and Liebers, 2022; Möri and Fahr, 2023).”
Bastounis, A., Buckell, J., Hartmann-Boyce, J., Cook, B., King, S., Potter, C., Bianchi, F., Rayner, M., & Jebb, S. A. (2021) · Nutrients · doi:10.3390/nu13082677 · Cited by 107 · cited 8× · see citing works
“For influencers, whose person and message are fused, any hint of insincerity or inaccuracy risks reputational and commercial harm (Bastounis et al., 2021; Zhuang et al., 2021).”
InfluentialHà, M.-T. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277421 · Cited by 84 · cited 8× · see citing works
“Beyond general attitudes toward sustainability, audiences are more inclined to select green options when they perceive environmental claims as reliable, trustworthy, and non-opportunistic (Alhomaid, 2025; de Luis García, 2024; Ha, 2022).”
InfluentialZhao, X., Zhu, Z. A., Shan, M., Cao, R., & Chen, H. A. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103647 · Cited by 81 · see citing works
Kothari, H., Choudhary, A. K., Jain, A., Singh, S., Prasad, K., & Vani, U. K. (2025) · Frontiers in Communication · doi:10.3389/fcomm.2025.1595796 · Cited by 81 · cited 1× · see citing works
“Perceived authenticity and parasocial relationship (PSR) are the two main factors that consistently influence effectiveness in studies on influencer persuasion in sustainability, though the reported effects vary depending on context and operationalization (Kothari et al., 2025).”
PLS–SEM in business promotion strategies. A multigroup analysis of mobile coupon users using MICOM
Carranza, R., Díaz, E., Martín-Consuegra, D., & Fernández-Ferrín, P. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-12-2019-0726 · Cited by 72 · see citing works
de Sio, S., Zamagni, A., Casu, G., & Gremigni, P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416757 · Cited by 72 · cited 4× · see citing works
“According to related research, environmental knowledge can help build trust, but advertising skepticism undermines intention and trust (de Sio et al., 2022).”
InfluentialKılıç, İ., & Gürlek, M. (2024) · Journal of Sustainable Tourism · doi:10.1080/09669582.2023.2273755 · Cited by 71 · cited 2× · see citing works
“Audiences experience “felt closeness” through self-disclosure, repeated exposure, and sporadic interaction, which can encourage imitation, loyalty, and receptivity (Khurana et al., 2025; Kılıç and Gürlek, 2024; Mustapa and Kallas, 2025).”
Kim, D., & Wang, Z. (2024) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2024.100100 · Cited by 60 · cited 2× · see citing works
“…in how verification, disclosure, and “machine heuristic” cues shape trust, creator heterogeneity (micro vs. macro; human vs. virtual) should be investigated within the same conditional-process framework (Breves and Liebers, 2025; Chen et al., 2022; Kalam et al., 2024; Kim and Wang, 2024).”
Do you believe it? Green advertising skepticism and perceived value in buying electric vehicles
Higueras‐Castillo, E., Liébana-Cabanillas, F. J., Santos, M. A. D., Zulauf, K., & Wagner, R. (2024) · Sustainable Development · doi:10.1002/sd.2932 · Cited by 57 · see citing works
Green Advertising on Social Media: A Systematic Literature Review
Ktisti, E., Hatzithomas, L., & Boutsouki, C. (2022) · Sustainability · doi:10.3390/su142114424 · Cited by 54 · cited 1× · see citing works
“Consumer reactions to CSR vary even among neighboring nations (e.g., Greece vs. Bulgaria), indicating the necessity of empirical testing before assuming structural equivalence (Ktisti et al., 2022; Nemes et al., 2022).”
Zatwarnicka-Madura, B., Nowacki, R., & Wojciechowska, I. (2022) · Energies · doi:10.3390/en15186570 · Cited by 53 · see citing works
The adoption of a smart destination model by tourism companies: An ecosystem approach
Agudo, J. C., Crespo, A., & Martín, H. S. (2023) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2023.100783 · Cited by 53 · see citing works
Omeish, F. Y., Shaheen, A. Y. M., Alharthi, S., & Alfaiza, S. A. (2025) · Discover Sustainability · doi:10.1007/s43621-025-00891-w · Cited by 46 · cited 1× · see citing works
“First, prior research often examines PSR or authenticity separately; few studies assess their relative explanatory contributions within a cohesive model, especially when it comes to whether their effects operate via a shared trust mechanism (Omeish et al., 2025).”
On the willingness to pay for food sustainability labelling: A meta‐analysis
Piracci, G., Lamonaca, E., Santeramo, F. G., Boncinelli, F., & Casini, L. (2024) · Agricultural Economics · doi:10.1111/agec.12826 · Cited by 43 · cited 4× · see citing works
“Influencers marshal dedicated follower bases whose trust can translate conversation into purchase behavior (Balaskas et al., 2025; Mustapa and Kallas, 2025; Piracci et al., 2024).”
InfluentialLu, J., Rong, D., Eweje, G., et al. (2024) · Business Strategy and the Environment · doi:10.1002/bse.4047 · Cited by 43 · cited 1× · see citing works
“…they are greenwashing (Ye et al., 2024); some brand-equity models show that green image and trust can hurt a brand indirectly (not directly) (Ha, 2022), and at the firm level, greenwashing and willingness to innovate may follow an inverted-U through performance-feedback dynamics (Lu et al., 2025).”
Khanchel, I., Lassoued, N., & Gargoury, R. (2023) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.2632 · Cited by 39 · cited 1× · see citing works
“Nevertheless, the vast majority of studies regard skepticism as either state-based or general, hardly conceptualizing PGE as an individual-level moderator of trust development (Breves and Liebers, 2022; Khanchel et al., 2024; Lim et al., 2025).”
Strycharz, J., & Segijn, C. M. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114490 · Cited by 38 · cited 3× · see citing works
“This suggests how privacy rules and norms affect how audiences respond to persuasive technologies (Glaveli, 2021; Kim et al., 2025; Strycharz and Segijn, 2024).”
Rehman, A. U., Kumar, S., Alghafes, R., Broccardo, L., & Patel, A. K. (2025) · Business Strategy and the Environment · doi:10.1002/bse.4300 · Cited by 36 · cited 2× · see citing works
“…framework aids in reconciling inconsistent findings in the literature by differentiating state suspicion regarding a particular post (PGR) from trait resistance grounded in previous experience (PGE) (de Sio et al., 2022; Nazish et al., 2025; Rehman et al., 2025; Skordoulis et al., 2025).”
Glaveli, Ν. (2020) · European Management Review · doi:10.1111/emre.12417 · Cited by 35 · see citing works
Empirical validation of the 10-times rule for SEM
Wagner, R., & Grimm, M. S. (2023) · Springer Proceedings in Business and Economics · doi:10.1007/978-3-031-34589-0_1 · Cited by 35 · see citing works
How to regain green consumer trust after greenwashing: experimental evidence from China
Wang, D., & Walker, T. (2023) · Sustainability · doi:10.3390/su151914436 · Cited by 33 · see citing works
Breves, P. L., & Liebers, N. (2024) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2024.2320186 · Cited by 31 · cited 2× · see citing works
“…in how verification, disclosure, and “machine heuristic” cues shape trust, creator heterogeneity (micro vs. macro; human vs. virtual) should be investigated within the same conditional-process framework (Breves and Liebers, 2025; Chen et al., 2022; Kalam et al., 2024; Kim and Wang, 2024).”
Kalam, A., Goi, C. L., & Tiong, Y. Y. (2023) · Marketing Intelligence & Planning · doi:10.1108/mip-04-2023-0184 · Cited by 29 · cited 2× · see citing works
“Endorser class and cause cues (celebrity vs. influencer; cause-related framing; country-of-origin) can enhance advocacy and intention, but only if trust and perceived ethicality are maintained (Kalam et al., 2024).”
Möri, M., & Fahr, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1297687 · Cited by 28 · cited 1× · see citing works
“This backs up the idea that closeness in relationships can be a powerful tool for influencers to use when they talk to people (Breves and Liebers, 2025; Breves and Liebers, 2022; Möri and Fahr, 2023).”
Green intentions, green actions: the power of social media and the perils of greenwashing
Nazish, M., Khan, Z., Khan, A., Naved Khan, M., & Ramkissoon, H. (2025) · Journal of Global Marketing · doi:10.1080/08911762.2024.2429517 · Cited by 28 · cited 3× · see citing works
“…framework aids in reconciling inconsistent findings in the literature by differentiating state suspicion regarding a particular post (PGR) from trait resistance grounded in previous experience (PGE) (de Sio et al., 2022; Nazish et al., 2025; Rehman et al., 2025; Skordoulis et al., 2025).”
Alhomaid, A. (2025) · Sustainability · doi:10.3390/su17188464 · Cited by 28 · cited 3× · see citing works
“Beyond general attitudes toward sustainability, audiences are more inclined to select green options when they perceive environmental claims as reliable, trustworthy, and non-opportunistic (Alhomaid, 2025; de Luis García, 2024; Ha, 2022).”
Meta‐Analysis of Consumer Willingness to Pay for Short Food Supply Chain Products
Mustapa, M. A. C., & Kallas, Z. (2025) · Global Challenges · doi:10.1002/gch2.202400154 · Cited by 23 · cited 3× · see citing works
“Audiences experience “felt closeness” through self-disclosure, repeated exposure, and sporadic interaction, which can encourage imitation, loyalty, and receptivity (Khurana et al., 2025; Kılıç and Gürlek, 2024; Mustapa and Kallas, 2025).”
Diao, Y., Liang, M., Jin, C., et al. (2025) · Sustainability · doi:10.3390/su17136187 · Cited by 22 · cited 3× · see citing works
“In a claim-saturated environment, how should content be designed to maintain trust, which is positioned as the catalyst between behavior and communication, even in the face of high skepticism (Diao et al., 2025; Zatwarnicka-Madura et al., 2022).”
Does the verified badge of social media matter? The perspective of trust transfer theory
Liao, C. H., Hsieh, J., & Kumar, S. (2023) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-10-2023-0339 · Cited by 21 · see citing works
A meta-analysis of antecedents and consequences of green trust
Chauhan, S., & Goyal, S. (2024) · Journal of Consumer Marketing · doi:10.1108/jcm-10-2023-6335 · Cited by 19 · see citing works
Wan, C., Lee, D., Ng, P. M. L., & Leung, T. C. H. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2561771 · Cited by 19 · see citing works
Colleoni, E., Romenti, S., Valentini, C., Badham, M., Choi, S. I., Kim, S., & Jin, Y. (2022) · Sustainability · doi:10.3390/su14020889 · Cited by 18 · cited 3× · see citing works
“…that institutional governance and socio-cultural influences collectively determine audience perceptions of trust and skepticism regarding sustainability messages; however, evidence specific to influencers remains limited (Colleoni et al., 2022; Kim et al., 2025; Strycharz and Segijn, 2024).”
Adil, M., Parthiban, E. S., Mahmoud, H. A., Wu, J., Sadiq, M., & Suhail, F. (2024) · Sustainability · doi:10.3390/su16041652 · Cited by 18 · see citing works
Morally transgressive companies and sustainable guidelines: seeking redemption or abusing trust?
Munaier, C. G. E. S., Miyazaki, F. R., & Mazzon, J. A. (2022) · RAUSP Management Journal · doi:10.1108/rausp-01-2022-0047 · Cited by 17 · see citing works
Olbermann, Z., Schrand, H., & Schramm, H. (2024) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2024.2310062 · Cited by 16 · cited 2× · see citing works
“Similar “washing” (e.g., diversity-washing) diminishes brand evaluation and purchase intention in ambiguous situations; significantly, heightened parasocial interaction may enhance the identification of washing in these contexts (Olbermann et al., 2024).”
Shan, J., & Xu, H. (2025) · Journal of Product & Brand Management · doi:10.1108/jpbm-05-2024-5151 · Cited by 16 · cited 1× · see citing works
“Influence endures when the alignment between influencer and product enhances perceived expertise, especially for products with prominent green features and significant self-disclosure; however, alignment cannot protect unverifiable assertions (Shan and Xu, 2025).”
Balaskas, S., Stamatiou, I., Komis, K., & Nikolopoulos, T. (2025) · Risks · doi:10.3390/risks13080157 · Cited by 16 · see citing works
Self-citationWu, S., Lim, A.-F., & Lim, W.-Y. (2025) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-01-2025-0110 · Cited by 16 · cited 2× · see citing works
“…pathway is a recurring theme in the literature, wherein assessments of green claims are influenced by perceived authenticity and credibility, ultimately resulting in pro-environmental intentions, often through mechanisms related to trust (Su et al., 2021; Wu et al., 2025; Wan et al., 2025).”
How to Reach Green Word of Mouth through Green Trust, Green Perceived Value and Green Satisfaction
Román-Augusto, J. A., Garrido-Lecca-Vera, C., Lodeiros-Zubiria, M. L., & Mauricio-Andía, M. (2023) · Data · doi:10.3390/data8020025 · Cited by 14 · see citing works
Bhattacharya, S., Sharma, R. P., & Gupta, A. (2022) · International Journal of Emerging Markets · doi:10.1108/ijoem-08-2021-1233 · Cited by 12 · cited 2× · see citing works
“According to multiple perspectives (Bhattacharya et al., 2024; Chauhan and Goyal, 2024; Ha, 2022), green trust is a proximal psychological mechanism that converts sustainability communications into downstream behavioral intentions (Bhattacharya et al., 2024; Chauhan and Goyal, 2024; Ha, 2022).”
Unravelling Country-of-Origin Effects: Moderated-Mediation of Cause-Related Marketing
Yadav, S. K., Koushik, K., & Kishor, N. (2025) · Journal of International Consumer Marketing · doi:10.1080/08961530.2025.2468829 · Cited by 12 · cited 1× · see citing works
“Evidence shows that greenwashing operates not only as a message attribute but as an accumulated audience experience that reshapes persuasion (Nazish et al., 2025; Olbermann et al., 2024; Yadav et al., 2025).”
Khurana, T., Pannu, S., Dalal, G., Vyas, P., & Rani, P. (2025) · NMIMS Management Review · doi:10.1177/09711023251352318 · Cited by 12 · cited 3× · see citing works
“Audiences experience “felt closeness” through self-disclosure, repeated exposure, and sporadic interaction, which can encourage imitation, loyalty, and receptivity (Khurana et al., 2025; Kılıç and Gürlek, 2024; Mustapa and Kallas, 2025).”
Sheng-hong, Y., Liu, G., Lin, Y., Lin, Z., Shi, Y., & Huang, Z. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1225011 · Cited by 9 · cited 5× · see citing works
“Evidence that skepticism and motive inferences can inhibit behavioral responses in sustainability advertising beyond purely evaluative judgments supports this reasoning (de Sio et al., 2022; Ye et al., 2024).”
InfluentialLim, H. S., Lee, N., Gonzalez, L. P., & Moon, W.-K. (2025) · Journal of Promotion Management · doi:10.1080/10496491.2025.2563653 · Cited by 7 · see citing works
Globalization, populism, and climate skepticism: untangling varieties and pathways
Kim, J., Henry, E. A., Carter, J., & Soysal, Y. N. (2026) · Environmental Sociology · doi:10.1080/23251042.2025.2536342 · Cited by 3 · cited 5× · see citing works
“We further employ PGE as a person-level moderator and set trait-like skepticism (PGE) apart from state-like message suspicion (PGR), enabling us to establish a dual-skepticism account (Higueras-Castillo et al., 2024; Kim et al., 2025).”
InfluentialSkordoulis, M., Vrentzou, A. D., Arsenou, E., et al. (2025) · Springer proceedings in business and economics · doi:10.1007/978-3-031-81962-9_98 · Cited by 1
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Cited by
Sorted by citations
Consumer Behaviour Across Cultures and Markets
Nikołajuk, S., Meclik, J., Nowosada, E. M., et al. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-2188-0.ch006
Amaral, M. A. L., Klau, A. D., Ketmoen, A., et al. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2026.1823880
- Authors
- Balaskas, S., & Yfantidou, I.
- Affiliations
- University of Patras (GR)
- Liverpool John Moores University (GB)
- Corresponding author
- Balaskas, Stefanos
- Venue
- Frontiers in Communication
- Publisher
- Frontiers Media SA
- Published
- 2026-02-17
- Volume
- 11
- ISSN
- 2297-900X (ISSN-L)
- OpenAlex
- W7129214983
- Semantic Scholar
- ef6e24e6e0dcde2a5a5d4e2cabd0643e329ef54e
- Cited by
- 2
- References
- 82
- Citations by year
- 2026: 2
- FWCI
- 19.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Communication (publishedVersion, cc-by)
- Liverpool John Moores University (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Keywords
- social media influencers, influencer authenticity, parasocial relationships, green trust, green purchase intention, greenwashing risk, cross-national comparison, Greece, United Kingdom
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-23.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-23.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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