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Record W4413215319 · doi:10.15173/jpc.v7i1.5034

“Unfortunately, This Isn’t a Joke”: Crisis Communication and Humour Messaging Strategy on American Late Night Talk Shows

2025· article· en· W4413215319 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Professional Communication · 2025
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsBrock University
Fundersnot available
KeywordsSincerityJokeComedyCrisis communicationStudioAdvertisingMedia studiesAudience receptionSarcasmSociologyPolitical sciencePsychologyPublic relationsSocial psychologyLiteratureIronyBusinessArtVisual arts

Abstract

fetched live from OpenAlex

Over the past 25 years or so, celebrities have appeared on American late night talk shows to respond to social issue crises that threaten their reputations and careers. This study examines 10 celebrity appearances in this comedy genre to better understand how the late night talk show functions discursively in crisis communication with respect to humour messaging strategy. The analysis finds that, rather than using humorous messaging strategies to deal with their crises, TV show hosts and guests downplay humour to project sincerity—even in response to less serious situations. Furthermore, the live studio audience faces scolding for the typical reactions expected of live studio audiences—cheering, clapping, laughing—that may reduce the celebrity’s sincerity. This study argues that these behaviours suggest that humour should be avoided even in less serious reputational crises. Finally, the article speculates why a celebrity would choose a funny television talk show—an unusual venue for crisis communication—to respond to a reputational crisis that is no laughing matter.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.400
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it