What 57,082 Airbnb Reviews Reveal About How Guests Judge Professionalism

When a guest types out an Airbnb review after a stay, they are doing far more than rating a room. They are rendering a social judgment about a stranger’s professionalism, one built not from diplomas or institutional standards but from emotional impressions, observed conduct, and evaluations of competence and fairness. A new study published in Current Psychology dissects that judgment at unprecedented scale, analyzing 57,082 Airbnb guest reviews to uncover the psychological architecture of professionalism in peer-to-peer accommodation. The findings reveal that professionalism, in the sharing economy, is fundamentally a form of trust-related social evaluation, and that its meaning has shifted dramatically over time.

The research team, led by Kai Ding of Ningbo University of Finance and Economics together with Le Li, Yutong Zhong, and Zeyu Li of Wenzhou University, approached the question through the lens of social psychology rather than hospitality management. Their conceptual foundation is the affective-behavioral-cognitive model of attitudes, a classic framework from attitude psychology that holds evaluations are formed through the integration of three components: emotional reactions, behavioral observations, and cognitive appraisals. In platform-mediated service encounters, the researchers argue, professionalism is not judged only through formal credentials or institutional standards. Instead, it is inferred from how service providers manage uncertainty, communicate reliability, and respond to interpersonal expectations. The Airbnb host, in this framing, is evaluated the way a physician or lawyer might be, but with cues drawn entirely from digital discourse.

The methodological engine of the study is structural topic modeling, a machine learning technique rooted in Bayesian statistics that discovers latent themes across massive text corpora. Unlike simple keyword counting, structural topic models treat each review as a mixture of topics, where each topic is a probability distribution over words, allowing the researchers to map the full semantic landscape of guest discourse while statistically correlating themes with metadata such as review valence and time. The team applied this approach to the corpus of 57,082 post-stay reviews, examining the review-based cues through which guests distinguish professional from unprofessional host behavior. The technique has precedent in the team’s own work, which previously employed structural topic modeling to explore perceived service quality attributes in Airbnb accommodation and to trace the evolution of Airbnb research more broadly.

The results paint a strikingly coherent picture of positive professionalism. Guests construct judgments of professional host behavior through cues that reduce uncertainty and signal three distinct qualities: relational attentiveness, service reliability, and contextual care. Relational attentiveness captures the interpersonal dimension, the sense that a host is emotionally present and responsive rather than transactionally distant. Service reliability reflects the behavioral component of the attitude model, the observed consistency between what a host promises and what a guest experiences. Contextual care, meanwhile, encompasses the cognitive appraisal that a host understands the specific circumstances of a stay and adapts accordingly. Together, these cues function as trust signals under the information asymmetry that defines platform markets, where guests book spaces they have never seen from people they have never met.

Unprofessionalism, by contrast, is not simply the mirror image of professionalism. The study finds it is associated with perceived breakdowns in trust, expressed through four recurring patterns: norm violation, poor maintenance, inadequate cleanliness, and failure to respond appropriately to guest-specific needs. Norm violation refers to conduct that breaches the implicit social contract of the hosting relationship, the expectation that a host will respect boundaries and behave within accepted norms of the encounter. Poor maintenance and inadequate cleanliness are physical manifestations of neglect that guests read as cognitive failures, evidence that a host has not invested the effort that professional conduct demands. The failure to respond appropriately to guest-specific needs is perhaps the most psychologically charged category, because it signals that a host has ignored the interpersonal expectations that guests bring to what they perceive as a relational, not merely commercial, exchange.

One of the study’s most consequential findings emerges from its trend analysis, which tracks how professionalism-related discourse evolved across the review corpus. The data indicate a clear shift from evaluations based on experience and aesthetics to those focused on reliability. In earlier discourse, guests emphasized the experiential and visual qualities of a stay, the charm of a space, the appeal of its design, the memorability of the encounter. Over time, the discourse migrated toward assessments of predictability, whether the host delivered what was promised, whether problems were resolved, whether the stay unfolded without disruption. This pattern suggests that professionalism-related review discourse has become more closely associated with safety, predictability, and problem resolution, a shift that mirrors broader maturation in the short-term rental industry as professional management companies have risen to dominate segments of the market.

The psychological interpretation of this shift is significant. The researchers conceptualize perceived professionalism as a dynamic form of trust-related social evaluation in digital service contexts, not a static trait but an evolving judgment shaped by context. This aligns with contemporary theories of attitude construction, which hold that evaluation is performed in context rather than retrieved from stable memory. It also connects to the situation awareness literature in human factors research, which emphasizes how individuals in dynamic systems manage uncertainty through continuous monitoring of environmental cues. The Airbnb guest, in this view, is a naive situation assessor, scanning review discourse for signals that the host can be trusted to manage the inherent uncertainties of a peer-to-peer transaction.

The study’s implications extend beyond the sharing economy. Professionalism has long been studied in medicine, law, pharmacy, and accounting, where researchers have developed frameworks for assessing professional behavior through observable conduct rather than credentials alone. The Current Psychology study imports that tradition into a digital service context where no formal training, licensing, or institutional oversight defines the professional role. That guests nonetheless articulate professionalism judgments with sufficient consistency to be detected at scale by computational methods suggests that professionalism is a fundamental social perception, one that humans apply even to informal service providers. The findings contribute to psychological research by explaining perceived professionalism as a social judgment formed through the integration of emotional impressions, observed conduct, and evaluations of competence and fairness.

For the platform industry, the practical message is that trust is the currency of professionalism. Hosts who want to be perceived as professional must attend to the cues that reduce guest uncertainty, communicate reliability before the stay, respond attentively during it, and resolve problems when they arise. The trend toward reliability-focused discourse suggests that platforms and hosts who invest in predictability, safety infrastructure, and responsive problem resolution will align with the evolving expectations of the guest population. As the peer-to-peer accommodation sector continues its professionalization, with multi-unit hosts and corporate management companies reshaping the competitive landscape, the psychological contract between guest and host is being rewritten around a single organizing principle: the perceived capacity to deliver a trustworthy, predictable, and professionally managed service encounter in the absence of institutional guarantees.

Subject of Research: Perceived professionalism in peer-to-peer accommodation: A social-psychological analysis of Airbnb guest reviews

Article Title: Perceived professionalism in peer-to-peer accommodation: A social-psychological analysis of Airbnb guest reviews

Article References: Ding, K., Li, L., Zhong, Y., & Li, Z. (2026). Perceived professionalism in peer-to-peer accommodation: A social-psychological analysis of Airbnb guest reviews. Current Psychology, 45(20), Article 1619. https://doi.org/10.1007/s12144-026-10202-9

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10202-9

Keywords: Perceived, professionalism, peer-to-peer, accommodation, social-psychological, analysis, Airbnb, guest, reviews, scientific research