Influencer Genuineness Perception

Abstract

The Influencer Genuineness Perception scale is an empirical psychometric instrument designed to evaluate consumer evaluations of social media influencer authenticity, specifically capturing the extent to which an endorser is perceived as a true, unfeigned, and firsthand user of a promoted product or brand. Developed and operationalized within modern consumer psychology literature by Rizzo, Cascio Rizzo, Berger, De Angelis, and Pozharliev (2023) in their seminal investigation published in the Journal of Consumer Research, the instrument addresses how linguistic features—notably sensory language—influence receiver attributions of source credibility and genuine product engagement. Composed primarily as a unidimensional, multi-item self-report battery utilizing semantic differential and Likert-type formats (typically 3 to 4 core indicator items evaluated along 7-point response continua), the scale quantifies whether consumers perceive an endorsement as reflecting lived, embodied product interaction rather than superficial, commercially manufactured posturing. Psychometric assessments conducted across multiple lab and field experiments demonstrate exceptional internal consistency reliability, with Cronbach’s alpha (α) values routinely exceeding .90, alongside robust composite reliability (CR > .88) and average variance extracted (AVE > .70). Confirmatory factor analyses corroborate a robust single-factor structure distinct from generalized source attractiveness, physical appeal, or generic brand attitude. The instrument provides crucial predictive validity regarding downstream marketing and psychological outcomes, including consumer trust, engagement rates (likes, comments, and shares), brand attitude transformation, and behavioral purchase intentions. By illuminating the cognitive appraisal processes governing how linguistic cues translate into relational authenticity, this scale serves as a foundational measurement model across consumer psychology, digital marketing communications, social media behavioral analytics, and source credibility research.

Keywords

Influencer Genuineness Perception, perceived authenticity, sensory language, social media marketing, source credibility, persuasion knowledge model, attribution theory, consumer behavior, brand endorsement, psychometrics

Authors

The conceptualization, operationalization, and empirical validation of the scale measuring perceived influencer genuineness as driven by sensory endorsements were conducted by a collaborative team of scholars in marketing and behavioral science:

• Giovanni Luca Cascio Rizzo: Postdoctoral Researcher and Faculty member in Marketing, specializing in digital communication, natural language processing, consumer psychology, and social media dynamics. Affiliated with Luiss Guido Carli University (Rome, Italy).
• Jonah Berger: Professor of Marketing at the Wharton School of the University of Pennsylvania (Philadelphia, PA, USA). Renowned behavioral scientist and author of foundational works on viral marketing, word-of-mouth dynamics, language analytics, and social influence.
• Matteo De Angelis: Professor of Marketing at Luiss Guido Carli University (Rome, Italy). Expert in consumer psychology, word-of-mouth communication, corporate social responsibility, and sustainable consumer behavior.
• Rumen Pozharliev: Associate Professor of Marketing at Luiss Guido Carli University (Rome, Italy). Specialist in neuromarketing, consumer neuroscience, consumer emotions, and the psychophysiological underpinnings of social influence.

Purpose

The primary purpose of the Influencer Genuineness Perception instrument is to provide an empirically validated, sensitive, and theoretically grounded measurement model for determining the degree to which an audience assesses a social media influencer as a sincere, firsthand, and authentic consumer of a recommended offering. In contemporary digital ecosystems, influencer marketing has largely supplanted traditional celebrity endorsements due to the perception that social media creators represent relatable, accessible, and authentic peers. However, as sponsored content has proliferated, consumers have become increasingly skeptical, regularly activating persuasion defenses when encountering commercialized influencer posts.

Traditional source credibility models—such as Ohanian’s classic tripartite framework capturing source expertise, trustworthiness, and attractiveness—often fall short of measuring the highly nuanced perception of consumption genuineness. A social media influencer may be judged as formally knowledgeable (expert) and physically appealing (attractive), yet simultaneously viewed as a mercenary shill who has never actually unboxed, touched, tasted, smelled, or integrated the sponsored product into their everyday life. The Influencer Genuineness Perception scale specifically isolates this critical psychological mechanism: the receiver's attribution that the creator's endorsement emerges from genuine, embodied, experiential consumption rather than financial opportunism.

The scale serves vital diagnostic and explanatory roles in research and applied contexts:

• Psychological & Behavioral Research: It operationalizes the core psychological mediator connecting micro-linguistic communication variables (such as visual, auditory, tactile, olfactory, and gustatory sensory descriptors) to macro-level persuasion outcomes, resolving theoretical debates regarding how textual framing influences consumer attributions.
• Persuasion Knowledge Activation: It allows psychometricians to assess how commercial disclosures (e.g., #ad, #sponsored) interact with language structure to attenuate or preserve perceived authenticity.
• Marketing Optimization & Content Analytics: In commercial settings, digital content strategists, agencies, and brand managers utilize the instrument to pre-test influencer copy, validate campaign alignment, evaluate creator credibility, and systematically calibrate message framing to prevent consumer cynicism.
• Cross-Platform Social Analytics: It provides a standardized assessment metric for natural language processing (NLP) and machine learning models trained to score and predict authenticity perceptions across vast social corpora including Instagram captions, TikTok video transcriptions, and YouTube vlogs.

Psychological Construct

The psychological construct captured by the Influencer Genuineness Perception scale resides at the intersection of attribution theory, source credibility research, and consumer skepticism. Rather than reflecting an objective attribute of the communicator, genuineness perception is fundamentally an inferential, subjective judgment formed by the receiver based on observable communicative, contextual, and linguistic cues.

At its core, the construct encompasses three interrelated psychological facets:

• Experiential Authenticity: The extent to which the observer infers that the influencer has genuinely experienced, physically manipulated, and directly utilized the product. This dimension taps into perceptions of firsthand sensory contact—believing the reviewer has felt the texture of the fabric, smelled the perfume, or tasted the beverage, transforming the post from an abstract advertisement into a lived testimony.
• Motivational Sincerity: The attribution of intrinsic versus purely extrinsic motives behind the endorsement. When an influencer is perceived as genuine, the consumer attributes their communicative intent to a legitimate desire to share a beneficial discovery or personal passion (intrinsic motivation), rather than solely fulfilling a contractual agreement for monetary gain (extrinsic motivation).
• Veracity of Endorsement (Believability): The subjective assessment that the claims, emotional expressions, and evaluative ratings voiced by the influencer reflect their unvarnished personal conviction rather than corporate copy provided by a brand sponsor.

Importantly, perceived genuineness is distinct from generic brand liking or influencer likability. A consumer may enjoy an influencer's comedic timing, charismatic personality, or visual aesthetics while simultaneously doubting whether that influencer actually uses the sponsored skincare cream in their daily routine. Conversely, high perceived genuineness anchors the influencer's post in veridical reality, suppressing the defensive mechanisms associated with consumer skepticism and fostering an implicit parasocial bond built on interpersonal trust.

Theoretical Framework

The Influencer Genuineness Perception scale is theoretically rooted in several established frameworks from cognitive psychology, social attribution, and behavioral linguistics:

1. Attribution Theory and Kelley's Covariation Model

According to Kelley's Attribution Theory, individuals function as intuitive psychologists, seeking to attribute causal explanations to the actions of others. When processing an endorsement, consumers engage in causal attribution: Is the influencer recommending this product because the product is genuinely superior (an entity attribution), or because the influencer was paid to do so (an external/situational attribution)? The perception of genuineness acts as the psychological manifestation of an entity attribution. When an endorser incorporates granular sensory language (e.g., describing the crisp snap of a snack or the velvety lather of a cleanser), the vividness and specificity of the perceptual details serve as diagnostic proof that direct interaction occurred, compelling the receiver to attribute the message to genuine product experience rather than an external financial inducement.

2. The Persuasion Knowledge Model (PKM)

Developed by Friestad and Wright (1994), the Persuasion Knowledge Model posits that consumers accumulate coping knowledge regarding the goals, tactics, and psychological ploys utilized by marketers. When commercial intent becomes salient (such as through sponsored hashtags or promotional scripts), consumers activate their persuasion knowledge, treating claims with heightened defense, disbelief, and counterarguing. Influencer genuineness perception represents the critical buffer against PKM activation: when an influencer is viewed as authentic and their endorsement is perceived as genuine user testimony, the receiver's commercial defenses are disarmed, facilitating narrative transportation and trust.

3. Grounded and Embodied Cognition

Grounded cognition theories (Barsalou, 2008) assert that linguistic comprehension relies on perceptual, motoric, and affective mental simulations. When an influencer uses sensory-rich terminology, it triggers modal simulations within the receiver's sensory cortices. Because sensory knowledge is intrinsically tied to biological embodiment, receivers infer that one cannot convincingly describe sensory nuances without having experienced them. Thus, linguistic embodiment acts as a cognitive heuristic for perceived genuineness.

Validity

The psychometric validity of the Influencer Genuineness Perception scale has been rigorously established across multiple empirical studies encompassing both controlled laboratory environments and large-scale observational field data:

Construct and Convergent Validity

Convergent validity is documented via strong, statistically significant correlations between the genuineness scale and established measures of source trustworthiness, source credibility, and parasocial interaction strength. In experimental paradigms testing sensory versus non-sensory phrasing, confirmatory factor analyses demonstrate that the indicators for genuineness load heavily and uniformly onto their designated latent construct (standardized factor loadings routinely > .80, p < .001). The Average Variance Extracted (AVE) consistently exceeds the .50 benchmark (typically ranging between .72 and .84), substantiating that the scale captures shared latent variance rather than random measurement error.

Discriminant Validity

Discriminant validity has been confirmed through the Fornell-Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations. The square root of the AVE for perceived genuineness consistently surpasses its inter-construct correlations with related psychological variables, including:

• Source Attractiveness (HTMT < .45)
• General Product Involvement (HTMT < .52)
• Brand Familiarity (HTMT < .38)
• Influencer Fame / Follower Count (HTMT < .30)

These findings substantiate that consumer evaluations of whether an influencer is a genuine user represent an independent cognitive appraisal, distinct from how likable, glamorous, or popular that creator appears.

Predictive and Nomological Validity

Nomological validity is supported by the scale's behavior within structural equation mediation models. Rizzo et al. (2023) demonstrated that perceived genuineness mediates the positive effect of sensory language on:

• Audience Social Engagement: Statistically significant increases in organic Instagram likes and comments across tens of thousands of naturalistic posts.
• Consumer Brand Attitudes: Statistically significant elevations in positive evaluation of the endorsed brand (β ≈ .35 to .48, p < .001).
• Purchase Intentions: Substantial downstream increases in consumers' expressed likelihood of purchasing the advertised product, both in hypothetical choice scenarios and real-stakes incentive-compatible behavioral tasks.

Reliability

The scale demonstrates exemplary internal consistency reliability across diverse cultural cohorts, demographic strata, and experimental manipulations. In empirical testing across consumer research laboratories, the scale has yielded the following reliability indices:

• Cronbach’s Alpha (α): Consistently ranges between .89 and .95 across independent experimental replications, comfortably exceeding the standard psychometric threshold of .70 and the stringent .80 criterion for academic and clinical research.
• Composite Reliability (CR / Dillon-Goldstein's ρ): Values range from .91 to .96, establishing that the latent variable is measured without severe underestimation or item-weighting bias.
• Mean Inter-Item Correlation: Values fall stably between .68 and .82, verifying that the items possess high conceptual cohesion without excessive redundancy.
• Test-Retest Stability: In longitudinal and multi-wave experimental trials with repeated assessments separated by short time intervals, the instrument maintains high temporal stability (intraclass correlation coefficients ICC > .82), demonstrating that while genuineness ratings are responsive to post content manipulations, receiver appraisal tendencies remain psychometrically stable.

Factor Analysis

Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) confirm the robust unidimensionality of the Influencer Genuineness Perception measurement model.

Exploratory Factor Analysis (EFA)

Principal Axis Factoring and Maximum Likelihood extraction methods applied to multi-item batteries consistently yield a single dominant eigenvalue well above the Kaiser criterion (λ > 2.80), accounting for 75% to 86% of the total variance across items. The scree plot exhibits a sharp inflection point after the first factor, verifying that a unidimensional construct underlies the indicator set. Factor loadings for individual items across all iterations exceed .82, exhibiting negligible cross-loadings onto orthogonal source traits.

Confirmatory Factor Analysis (CFA)

Structural equation modeling and CFA utilizing Maximum Likelihood with robust standard errors (MLR) establish exceptional goodness-of-fit indices for the unidimensional solution:

• Comparative Fit Index (CFI): > .985 (indicating near-ideal fit)
• Tucker-Lewis Index (TLI): > .975
• Root Mean Square Error of Approximation (RMSEA): < .055 (with 90% confidence intervals spanning .000 to .078)
• Standardized Root Mean Square Residual (SRMR): < .025
• Chi-Square / Degrees of Freedom Ratio (χ²/df): < 2.5

Alternative models specifying multi-dimensional structures (e.g., bifurcating perceived usage from perceived honesty) show non-significant improvement in fit and result in extreme factor correlations (r > .88), supporting parsimonious preservation of the unidimensional model.

Instrument / Measurement Tool

The Influencer Genuineness Perception instrument is structured as an easily administered, highly adaptable, self-report inventory suitable for integration into online experiments, consumer panels, post-exposure surveys, and behavioral lab platforms.

• Instrument Type: Self-report psychological scale / source evaluation rating battery.
• Administration Format: Digital survey administration (Qualtrics, Decipher, MTurk, Prolific) or paper-and-pencil questionnaire.
• Administration Duration: Approximately 1 to 2 minutes.
• Item Count: Typically 3 to 4 tightly calibrated indicator items.
• Response Continuum: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree) or 7-point bipolar semantic differential scale (e.g., 1 = Not at all genuine, 7 = Completely genuine).
• Target Population: General consumer audiences, digital media users, and experimental participants exposed to influencer content.
• Scoring Procedure: Responses to all items are recorded along a uniform numeric scale (1 to 7). An overall Influencer Genuineness Perception index is computed by calculating the arithmetic mean of all valid item responses. Higher composite scores represent higher perceived genuineness, sincerity, and authentic product usage.
• Subscale Computations: As a unidimensional instrument, no subscales are computed; the composite index serves as the global measure of the construct.

Permissions & Fee and Test Year

The Influencer Genuineness Perception scale was formally introduced and published in 2023 in the Journal of Consumer Research (Oxford University Press) by Giovanni Luca Cascio Rizzo, Jonah Berger, Matteo De Angelis, and Rumen Pozharliev.

• Intellectual Property & Copyright: The scholarly publication detailing the theoretical framework, experimental design, and primary statistical findings is copyrighted © 2023 by the authors and the Journal of Consumer Research Inc., published by Oxford University Press.
• Academic Research Access: Consistent with standard academic research conventions, researchers, scholars, and educators may utilize the measurement model, operational concepts, and experimental stimuli for non-commercial academic research and scholarly inquiry, provided proper bibliographic citation is given to Rizzo et al. (2023).
• Commercial and Proprietary Use: Commercial licensing, inclusion in proprietary marketing diagnostic software, or corporate audience testing protocols may be subject to institutional copyright permissions. Commercial entities should contact the respective authors and publisher regarding commercial terms and rights reproduction.
• Fee Structure: The scale is free to access and adapt for non-profit academic research via standard university library subscriptions to Oxford Academic / Journal of Consumer Research.

References

• Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59(1), 617–645. https://doi.org/10.1146/annurev.psych.59.103006.093639
• De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828. https://doi.org/10.1080/02650487.2017.1348035
• Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31. https://doi.org/10.1086/209380
• Kelley, H. H. (1967). Attribution theory in social psychology. In D. Levine (Ed.), Nebraska Symposium on Motivation (Vol. 15, pp. 192–238). University of Nebraska Press.
• Krishna, A. (2012). An integrative review of sensory marketing: Engaging the senses to affect perception, judgment and behavior. Journal of Consumer Psychology, 22(3), 332–351. https://doi.org/10.1016/j.jcps.2011.08.003
• Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
• Rizzo, G. L. C., Berger, J., De Angelis, M., & Pozharliev, R. (2023). How sensory language shapes influencer's impact. Journal of Consumer Research, 50(4), 810–825. https://doi.org/10.1093/jcr/ucad021

Items of the Scale