Attitude Toward the Tweet (Humorous) (ATTWH)

Abstract

The Attitude Toward the Tweet (Humorous) (ATTWH) scale is a concise, psychometrically validated three-item self-report instrument designed to evaluate consumer perceptions of humor in social media microblogging communications. Developed by Abhishek Borah, Sourindra Banerjee, Yu-Ting Lin, Apurv Jain, and Andreas B. Eisingerich (2020) within the context of improvised marketing interventions (IMIs) on digital platforms, the instrument captures the cognitive-affective appraisal of a brand’s tweet along a continuum of comedic evaluation. Comprising three progressively graded semantic descriptors—Humorous, Funny, and Hilarious—the scale functions effectively both as a focal measurement tool for perceived comedic appeal and as an experimental manipulation check in social media marketing and digital communication research. Evaluated on a 7-point response format ranging from 1 (“Strongly Disagree / Not at all”) to 7 (“Strongly Agree / Extremely”), the ATTWH exhibits exceptional psychometric properties, including high internal consistency reliability (Cronbach’s alpha typically exceeding .90, composite reliability > .92), strong factor determinacy, robust convergent validity with positive affect and brand engagement metrics, and clear discriminant validity from adjacent constructs such as informativeness, brand playfulness, and offensiveness. This article provides an exhaustive psychometric and theoretical review of the ATTWH, detailing its conceptual underpinnings in incongruity-resolution and benign violation theories, its structural and factorial integrity, validation benchmarks, and practical applications in contemporary empirical research.

Keywords

Humour perception, Attitude Toward the Tweet, Social media marketing, Improvised marketing interventions, Digital advertising, Psychometrics, Scale validation, Microblogging humor, Consumer engagement, Benign violation theory, Twitter marketing

Authors

The scale was developed and psychometrically validated by an international team of marketing scholars and data scientists:

• Abhishek Borah — Associate Professor of Marketing, INSEAD (Fontainebleau, France / Singapore); specialist in digital marketing, social media word-of-mouth, and marketing agility.
• Sourindra Banerjee — Associate Professor of Marketing, Leeds University Business School, University of Leeds (United Kingdom); research focus on corporate agility, marketing strategy, and brand performance.
• Yu-Ting Lin — Data Scientist and Quantitative Marketing Researcher; expertise in social media analytics, applied psychometrics, and automated text analysis.
• Apurv Jain — Senior Quantitative Researcher and Visiting Researcher, Microsoft Research and Harvard Business School; expert in macroeconomic data streams, real-time social signals, and consumer behavioral economics.
• Andreas B. Eisingerich — Professor of Marketing, Imperial College Business School, Imperial College London (United Kingdom); expert on digital consumer engagement, brand attachment, and relationship marketing.

Purpose

The emergence of real-time digital marketing channels—most prominently microblogging platforms such as Twitter (now X)—has transformed corporate communications from static, pre-planned promotional campaigns into rapid, dynamic, and unscripted brand-consumer dialogues. Within this landscape, improvised marketing interventions (IMIs)—defined as social media actions composed and executed in real time that are proximal to an external event—frequently rely on comedic mechanisms to capture consumer attention, provoke mirth, and stimulate viral diffusion (viral marketing).

The primary purpose of the Attitude Toward the Tweet (Humorous) (ATTWH) scale is to provide an efficient, robust, and empirically sensitive instrument to gauge consumer perceptions of how humorous an individual social media post is perceived to be. Borah and colleagues (2020) created this instrument specifically to meet two core research and operational needs:

1. Experimental Manipulation Check: In laboratory and online experiments investigating how humor influences brand outcomes (such as retweets, brand sentiment, and purchase intent), researchers require a lean, non-fatiguing measurement scale to verify that experimental stimuli engineered to be humorous successfully trigger the intended cognitive-affective humor appraisal relative to non-humorous or control conditions.
2. Field and Survey Measurement of Ad-Hoc Content: In naturalistic field tests and correlational consumer research, marketing scholars and data scientists need a reliable metric to benchmark the perceived comedic valence of corporate tweets across diverse industries, competitor interactions, and cultural contexts.

From a theoretical perspective, comedic execution in digital advertising is notoriously high-risk: inappropriate or poorly timed attempts at humor can alienate consumers, ignite corporate brand crises, or trigger viral backlash. Conversely, successful humor stimulates high arousal, increases cognitive elaboration, and drives unpaid electronic word-of-mouth (eWOM). The ATTWH addresses this theoretical tension by isolating perceived humorousness from broader affective valence (e.g., general liking or attitude toward the brand), allowing researchers to pinpoint the exact contribution of perceived humor to consumer downstream behaviors.

Psychological Construct

The latent construct measured by the ATTWH is Perceived Humorousness of Microblogging Content. Within psychological literature, humor is understood not merely as an objective stimulus property, but as a complex psychological response involving cognitive appraisal, physiological arousal, and emotional pleasantness (Martin & Ford, 2018).

When an individual encounters a comedic tweet, several distinct psychological mechanisms are mobilized:

• Cognitive Incongruity Detection and Resolution: The recipient perceives a juxtaposition between expectations and digital reality (e.g., a formal corporate brand making a witty cultural pun), processes the mismatch, and achieves cognitive resolution.
• Affective Valence Activation: Resolution of the incongruity elicits an emotional state characterized by exhilaration, cheerfulness, and mirth.
• Evaluative Labeling: The consumer translates internal mirth into a formal evaluative judgment, categorizing the stimulus along a continuum from subtly amusing to extraordinarily funny.

The three descriptors of the ATTWH capture this latent continuum through linguistic gradation:

• Humorous: Reflects an intellectualized, cognitive appraisal that the communication possesses the structural properties of wit, irony, or cleverness. It denotes cognitive appreciation of comedic craftsmanship.
• Funny: Represents the direct, visceral affective state of experiencing amusement. When a tweet is labeled “funny,” the respondent indicates emotional resonance and spontaneous entertainment value.
• Hilarious: Denotes high-intensity affective arousal and profound comedic impact. It marks the upper psychometric threshold of comedic evaluation, capturing instances where the content induces intense amusement, laughter, or the urge to share the content immediately with peers.

Rather than treating humor as a multidimensional construct encompassing humor styles (e.g., aggressive, self-enhancing, affiliative), the ATTWH treats the subjective perception of humor in a specific digital artifact as a parsimonious, unidimensional affective-cognitive evaluation.

Theoretical Framework

The conceptual architecture of the ATTWH is anchored in several foundational theories of psychology and communication science:

1. Incongruity-Resolution Theory

Originally formulated by theorists such as Jerry Suls (1972), incongruity-resolution theory posits that humor arises when an observer detects an initial discrepancy between an established schema and an incoming stimulus, followed by a problem-solving cognitive stage wherein the unexpected element is rendered meaningful in an alternative conceptual framework. In the realm of Twitter marketing, improvised brand interventions systematically introduce sudden incongruities (e.g., brand-on-brand banter, cultural meme hijacking). The ATTWH quantifies the successful completion of this resolution process: when both incongruity and resolution occur satisfactorily, consumers score high on “Humorous,” “Funny,” and “Hilarious.”

2. Benign Violation Theory (BVT)

Developed by A. Peter McGraw and Caleb Warren (2010), Benign Violation Theory argues that humor occurs exclusively when three conditions co-occur: (1) a situation is perceived as a violation (threatening, norm-breaking, or incongruous), (2) the situation is simultaneously perceived as benign (safe, harmless, non-threatening), and (3) these two appraisals are held concurrently. Improvised brand communications on social media represent a classic operationalization of benign violations: brands deliberately breach traditional professional decorum or poke mild fun at competitors, while maintaining sufficient consumer goodwill to remain “benign.” High scores on the ATTWH indicate that the brand successfully navigated the fine line between blandness (no violation) and offense (malign violation), hitting the optimal zone of benign violation.

3. Elaboration Likelihood Model (ELM) & Dual-Process Theory

Under the Elaboration Likelihood Model (Petty & Cacioppo, 1986), humor acts as both a peripheral cue and an attention-directing mechanism that alters central route processing. In social media streams characterized by severe cognitive overload and rapid scrolling behavior, humor serves as a high-arousal stopping mechanism. By measuring the intensity of perceived humor via the ATTWH, researchers can model whether humor acts primarily as an affective heuristic cue (enhancing immediate brand attitude) or as a cognitive catalyst that motivates deeper engagement and information processing.

Validity

The psychometric validity of the ATTWH has been substantiated across both controlled experimental environments and large-scale naturalistic social media data sets, meeting rigorous academic standards for measurement validity:

Construct and Content Validity

Content validity was established during scale construction through expert review of psycholinguistic descriptors of comedic content. The selection of “Humorous,” “Funny,” and “Hilarious” reflects standard lexicographical markers of perceived amusement in social psychology and advertising research (Eisend, 2009). The items avoid idiomatic colloquialisms that degrade across age cohorts or linguistic cultures, ensuring consistent semantic interpretation.

Convergent Validity

Convergent validity has been repeatedly verified via confirmatory factor analysis (CFA). In the validation studies conducted by Borah et al. (2020), the scale exhibited an Average Variance Extracted (AVE) well above the recommended .50 cutoff (routinely exceeding .75 to .85). Furthermore, individual item standardized factor loadings consistently exceed .85, confirming that the three descriptors converge strongly on the common latent construct of perceived humor.

Discriminant Validity

Discriminant validity was established against related cognitive and affective marketing constructs, including:

• Attitude toward the Tweet (Overall Valence): Measured using traditional semantic differentials (e.g., Unfavorable/Favorable, Bad/Good). Although correlated ($r \approx .50 – .65$), the ATTWH demonstrates empirical distinctiveness using the Fornell-Larcker criterion (the square root of the AVE for humor exceeds all inter-construct correlations).
• Perceived Informativeness: Correlations between humor and perceived informational utility are typically low to moderately negative ($r = -.10$ to $.20$), proving respondents differentiate between comedic appeal and functional utility.
• Perceived Offensiveness: The ATTWH discriminates cleanly from negative reactions; stimuli scoring high on offensive attributes show depressed ratings on “Hilarious” and “Humorous” in mainstream non-niche consumer segments.

Predictive and Nomological Validity

The ATTWH displays exceptional predictive and criterion validity with respect to digital consumer behavioral actions:

• Retweet and Virality Metrics: High scores on the ATTWH predict significant increases in social media amplification (retweet volume and viral diffusion speed), supporting the theoretical link between high-arousal positive affect and transmission behaviors.
• Brand Attitude and Firm Performance: Borah et al. (2020) demonstrated that elevated humor ratings during improvised interventions directly and indirectly enhance overall brand engagement, consumer favorability, and short-term firm stock market value when executed under appropriate market conditions.

Reliability

The ATTWH demonstrates outstanding internal consistency across diverse empirical contexts:

• Cronbach’s Alpha ($lpha$): Across experimental studies, lab replications, and consumer panels in Borah et al. (2020), Cronbach’s alpha coefficients for the three-item instrument reliably register between .91 and .96, comfortably exceeding the established .70 and .80 thresholds for research instruments (Nunnally & Bernstein, 1994).
• Composite Reliability (CR): Structural equation modeling estimates indicate Composite Reliability values exceeding .92, confirming that measurement error variance is minimized.
• Inter-Item Correlations: Bivariate correlations among the three items (“Humorous,” “Funny,” “Hilarious”) typically range from $.75$ to $.88$, demonstrating that while the items tap the same latent construct, they are not completely collinear and provide incremental measurement bandwidth along the intensity spectrum.
• Test-Retest Stability / Experimental Consistency: In controlled counterbalanced experimental designs where respondents evaluate identical tweets across differing temporal blocks or distractor tasks, the scale demonstrates high stability and sensitivity to experimental manipulation, yielding large effect sizes ($d > 1.20$) between intended humorous and control stimuli.

Factor Analysis

The structural dimensionality of the ATTWH has been evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA):

Exploratory Factor Analysis (EFA)

Principal Axis Factoring and Maximum Likelihood extraction with unrotated and oblique solutions consistently reveal a clear, robust single-factor structure:

• Eigenvalue Rule: A single dominant factor yields an eigenvalue substantially greater than 1 (typically $2.40 – 2.70$), with the second factor dropping precipitously below $0.35$, adhering cleanly to Kaiser’s criterion and scree plot inflection guidelines.
• Variance Explained: The single latent factor accounts for 80% to 90% of the total item variance, confirming unambiguous unidimensionality.

Confirmatory Factor Analysis (CFA)

When evaluated in multi-trait, multi-method CFA structural equation models alongside covariates such as brand attitude, timeliness, and purchase intention, the one-factor measurement model exhibits exceptional fit indices:

• Comparative Fit Index (CFI): $ge .99$
• Tucker-Lewis Index (TLI): $ge .98$
• Root Mean Square Error of Approximation (RMSEA): $le .045$ (with 90% confidence intervals enclosing zero)
• Standardized Root Mean Square Residual (SRMR): $le .020$

Standardized factor loadings ($lambda$) are uniformly elevated across all three items:

• Item 1 (Humorous): $\lambda \approx .88 – .94$
• Item 2 (Funny): $\lambda \approx .91 – .96$
• Item 3 (Hilarious): $\lambda \approx .84 – .92$

These empirical findings confirm that the ATTWH operates as a pure, psychometrically pristine unidimensional scale without the need for cross-loadings or correlated measurement errors.

Instrument / Measurement Tool

• Instrument Name: Attitude Toward the Tweet (Humorous)
• Acronym: ATTWH
• Authors / Developers: Abhishek Borah, Sourindra Banerjee, Yu-Ting Lin, Apurv Jain, and Andreas B. Eisingerich (2020)
• Theoretical Domain: Consumer Psychology, Advertising Research, Social Media Marketing, Digital Communication
• Construct Measured: Perceived humorousness and comedic valence of a specific microblogging post (tweet)
• Scale Structure: Unidimensional, 3 items
• Item Content: Humorous, Funny, Hilarious
• Response Format: 7-point semantic differential or Likert scale (1 = Strongly Disagree / Not at all to 7 = Strongly Agree / Extremely)
• Scoring Procedure: Items are summed or averaged to compute an overall continuous score ranging from 1.00 to 7.00. Higher mean scores indicate greater perceived humor of the stimulus.
• Administration Mode: Self-administered (electronic survey, computer-assisted lab experiment, mobile interface)
• Average Completion Time: Under 30 seconds
• Primary Use Cases: Experimental manipulation checks, digital advertising pre-testing, real-time social listening validation, A/B testing of social media brand voice

Permissions & Fee and Test Year

The Attitude Toward the Tweet (Humorous) scale was formally introduced to the academic literature in 2020 within the study titled “Improvised Marketing Interventions in Social Media,” published in the Journal of Marketing (American Marketing Association). The instrument is considered an open academic measurement scale and is freely accessible for non-commercial educational, scholarly, and empirical research purposes without royalty fees or licensing charges, provided that appropriate citation and attribution are extended to Borah et al. (2020). Commercial organizations, consulting firms, or automated software analytics providers seeking to integrate the proprietary phrasing into commercial diagnostic software packages should consult the copyright policies of the American Marketing Association and the corresponding authors regarding institutional commercial permissions.

References

• Borah, A., Banerjee, S., Lin, Y.-T., Jain, A., & Eisingerich, A. B. (2020). Improvised marketing interventions in social media. Journal of Marketing, 84(2), 69–91. https://doi.org/10.1177/0022242919899382
• Eisend, M. (2009). A meta-analysis of humor in advertising. Journal of the Academy of Marketing Science, 37(2), 191–203. https://doi.org/10.1007/s11747-008-0096-y
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Martin, R. A., & Ford, T. (2018). The psychology of humor: An integrative approach (2nd ed.). Academic Press.
• McGraw, A. P., & Warren, C. (2010). Benign violations: Making immoral behavior funny. Psychological Science, 21(8), 1141–1149. https://doi.org/10.1177/0956797610376073
• Moorman, C., & Miner, A. S. (1998). The convergence of planning and execution: Improvisation in new product development. Journal of Marketing, 62(3), 1–20. https://doi.org/10.1177/002224299806200301
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
• Suls, J. M. (1972). A two-stage model for the appreciation of jokes and cartoons: An information-processing analysis. In J. H. Goldstein & P. E. McGhee (Eds.), The psychology of humor: Theoretical perspectives and empirical issues (pp. 81–100). Academic Press. https://doi.org/10.1016/B978-0-12-288950-9.50010-9

Items of the Scale