Cited by 2Environmental Sustainability in BusinessDigital Marketing and Social MediaEnvironmental Education and Sustainability

Cross-national evidence on influencer-driven green choice: a moderated-mediation model of authenticity, parasocial ties, and greenwashing exposure

Open access
Balaskas, Stefanos, Yfantidou, Ioanna·2026·Frontiers in Communication

Abstract

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

Registry

Crossref · 10.3389/fcomm.2026.1764803

Cites

86 of 87 references verified1 citation errors · 0 not checkable

Statistics

Nothing to recompute.

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
  • 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.

    Premisecitation

    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.

    “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.

    Premisecitation

    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.

    “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.

    Premisecitation

    AUTH 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.

    Premisecitation

    Consumer 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.

    Premisecitation

    Institutional 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.

    Premisecitation

    A 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 conductcitation

    ρA 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 conductcitation

    Indicators 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 data

    74.9% 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 claim
  • Classified as probably not a substantial claim.

    Findingown data

    In 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    PGR 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    Both 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    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 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    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) 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 claim
  • May combine two claims.

    Findingown data

    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).

    “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 claim
  • May combine two claims.

    Findingown data

    Perceived 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    Although 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Respondents' 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 claim
  • May combine two claims.

    Findingown data

    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).

    “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 claim
  • May combine two claims.

    Findingown data

    As 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 claim
  • May combine two claims.

    Findingown data

    Subsample 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 claim
  • The quote only partly states this claim.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • The quote only partly states this claim.

    Findingown data

    Perceived 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 claim
  • May combine two claims.

    Findingown data

    Adding 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 claim
  • May combine two claims.

    Findingown data

    Adding 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 claim
  • The quote only partly states this claim.

    Findingown data

    In 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 claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    In 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Data 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductreasoning

    The 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 claim
  • May combine two claims.

    Premisereasoning

    AUTH 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 claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Premisenone given

    Few 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductown data

    Reliability, 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    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.

    “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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    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).

    “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 claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Study design and conductnone given

    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.

    “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 claim
  • Classified as probably not a substantial claim.

    Study design and conductcitation

    For 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 checked
    • cites Janadari et al., 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Kock and Hadaya, 2018 source
    • cites Wagner and Grimm, 2023 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    A 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    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.

    “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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    All 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 claim
  • May combine two claims.

    Interpretationown data

    Overall, 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 claim
  • May combine two claims.

    Study design and conductown data

    Convergent 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 data

    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.

    “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 claim
  • May combine two claims.

    Interpretationown data

    Conditional 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 claim
  • May combine two claims.

    Study design and conductown data

    Configural 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 claim
  • May combine two claims.

    Interpretationreasoning

    PGE 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 claim
  • May combine two claims.

    Interpretationown data

    In 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationreasoning

    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.

    “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 claim
  • May combine two claims.

    Interpretationown data

    AUTH 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 data

    The 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 claim
  • May combine two claims.

    Interpretationown data

    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.

    “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 claim
  • May combine two claims.

    Study design and conductown data

    Overall, the measures demonstrate strong internal consistency and construct validity.

    “Overall, the measures demonstrate strong internal consistency and construct validity.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    In 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 claim
  • May combine two claims.

    Interpretationown data

    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).

    “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 claim
  • May combine two claims.

    Interpretationreasoning

    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.

    “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 claim
  • May combine two claims.

    Interpretationown data

    Authenticity 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 given

    The 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 claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductnone given

    The 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 claim
  • May combine two claims.

    Interpretationreasoning

    Larger 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 claim
  • May combine two claims.

    Interpretationown data

    PGE 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 claim
  • May combine two claims.

    Interpretationown data

    TRUST 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 claim
  • May combine two claims.

    Interpretationreasoning

    The 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 claim
  • May combine two claims.

    Interpretationreasoning

    PSR 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 claim
  • May combine two claims.

    Interpretationreasoning

    UK 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Once 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    The 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 data

    Post-level risk assessments (PGR) positively influence trust and intention.

    “post-level risk assessments (PGR) positively influence trust and intention.”
    Quote in the paperSubstantial claim
86 of 86
  • 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”
9 of 9

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

    Major

    The 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.

  • Neither country met the stated single-country sample minimum

    Minor

    The methods say at least 400 observations were maintained for single-country analyses, but the reported samples contain 376 and 331 participants.

  • A nonsignificant path appears in a table titled significant paths

    Minor

    Table 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.

3 of 3

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Chin, 1998, The partial least squares approach to structural equation modeling, Mod. Methods Bus. Res., 295, 295
  2. de Luis García, 2024, COMBATING CHILD SEXUAL ABUSE ON THE INTERNET: CONSIDERATIONS IN THE LIGHT OF THE PROPOSAL FOR A REGULATION, Actualidad Juridica Iberoamericana, 10.13039/501100011033 · DOI
  3. Hair, 2006, Multivariate data analysis. Uppersaddle river
  4. Janadari, 2016, Evaluation of measurment and structural model of the reflective model constructs in PLS–SEM
  5. Olsen, 2004, Cross-sectional study design and data analysis, Coll. Entr. Exam. Board, 26, 2006

Cited by

Sorted by citations

Authors
Balaskas, S., & Yfantidou, I.
Affiliations
  • University of Patras (GR)
  • Liverpool John Moores University (GB)
Corresponding author
Balaskas, Stefanos
Venue
Frontiers in Communication
Published
2026-02-17
Volume
11
ISSN
2297-900X (ISSN-L)
OpenAlex
W7129214983
Cited by
2
References
82
Citations by year
2026: 2
FWCI
19.88
Type
journal article
Language
en
Open access
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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