According to a survey conducted among employees in Southeast Asia in August 2022, ** percent of the respondents felt that humor could help reduce feelings of stress or burnout at the workplace. Comparatively, ** percent of the respondents indicated that humor could help create a lasting impression at the workplace.

This dataset is developed for the CELSA research project 'Humour and Conflict in the Public Sphere: Communication styles, humour controversies and contested freedoms in contemporary Europe'. The project sets out to conduct an interdisciplinary analysis of the interrelatedness between digital humor and social conflict. The dataset contains data for 550 items of digitally mediated humor (e.g. online memes, cartoons, video's, posts) created in the context of specific cases of socio-political conflict in four European countries (i.e. Belgium, Belarus, Estonia and Poland). The dataset offers coding of linguistic markers such as genre, humor mechanisms and communication style as well as a mapping of the discourse which the humorous items spark on social media. Here, comments made as a reactions to the humor on social media platforms are coded for types of response (e.g. positive, negative, humorous, non-humorous) as well as the incidence of meta-comments (comments on comments) and other linguistic metrics for analysis (e.g. types of speech used in audience reactions). The data was coded indepentently by four researchers with a background in each respective country in 2023-2024. This dataset can be used, for example, to analyse audience reception of digitally mediated humor, or allow the (cross-national) analysis of the impact of different humoristic genres in digital public spheres.

A worldwide study from April 2020 found that people perceived the usage of humor in advertising differently during coronavirus. Only 24 percent of respondents thought that humor was appropriate at that time while 38 percent felt that humor in advertising was inappropriate during the pandemic.

This dataset provides labeled humor detection from product question answering systems. The dataset contains 3 csv files: Humorous.csv containing the humorous product questions, Non-humorous-unbiased.csv containing the non-humorous prodcut questions from the same products as the humorous one, and, Non-humorous-biased.csv containing the non-humorous prodcut questions from randomly selected products. Each file has the question, product description, image url to the product, and a label if the question is humorous or not.

These are the data sets for a study on audience segmentation to predict receptivity to humorous persuasive messages

My research examines the following questions: 1) Did Romanticism exist in Russian five-act verse comedy? 2) Did Russian five-act verse comedy evolve similarly to French five-act verse comedy? 3) Was Russian four-act verse comedy distinct from the Russian five-act verse comedy? I rely on Boris Iarkho’s quantitative features and methodology, which I modernize by automating data processing and calculations, replacing his transgression coefficient by statistical significance testing, and improving Iarkho’s synthesis with open-form scores that measure how experimental a tradition or author is. I maintain that, unlike the French, the Russian five-act verse comedy did not evolve in a wave-like manner with alternating closed and open forms. Instead, I have found a quantitative basis for Iurii Tynianov and Mikhail Gasparov’s earlier claim that the closed and open styles co-existed and mixed in the Russian context (Tynianov 1969, 52-3; Gasparov 1997, 434-455). In Russian five-act verse comedy, Romanticism did not supersede Neoclassicism; instead, some comedies were written in the Romantic style, whereas others remained faithful to the Neoclassical. The evolution of the French five-act verse comedy followed Heinrich Wölfflin’s model of alternating closed and open forms, which Boris Iarkho had also observed in the case of the French five-act tragedy. The Russian four-act verse comedy tended to be more experimental than the contemporaneous French and Russian five-act verse comedy.

The novel Passau-Spontaneous Football Coach Humor (Passau-SFCH) dataset consists of press conference recordings of 10 different German Bundesliga football coaches collected in 2017. The data provided here only includes segments in which the respective coach is speaking, accounting for about 11 hours of data.

There are three continuous annotations (2 Hz rate): Humour, as well as sentiment and direction (self- vs. others-directed) as proposed in the Humor Style Questionnaire by [1].

For a detailled description of the data, see [2].

The package includes:

• raw data
  • segmented videos
  • segmented audios
  • manually corrected transcriptions
• extracted features, cf. [2]
• gold standard labels, cf. [2]

Note that a variant of this dataset has been featured in the Multimodal Sentiment Analysis Challenge (MuSe) 2022 [3,4]. For questions, please contact Lukas Christ at lukas[dot]christ[at]informatik[dot]uni-augsburg[dot]de.

[1] Martin, Rod A., et al. "Individual differences in uses of humor and their relation to psychological well-being: Development of the Humor Styles Questionnaire." Journal of research in personality 37.1 (2003): 48-75.

[2] L. Christ, S. Amiriparian, A. Kathan, N. Müller, A. König, B. W. Schuller, "Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results". arXiv preprint at arXiv: 2209.14272

[3] ] L. Christ, S. Amiriparian, A. Baird, P. Tzirakis, A. Kathan, N. Müller, L. Stappen, E.-M. Meßner, A. König, A. Cowen, E. Cambria, and B. W. Schuller, "The Muse 2022 Multimodal Sentiment
Analysis Challenge: Humor, Emotional Reactions, and Stress" in MuSe’22: Proceedings of the 3rd Multimodal Sentiment Analysis Workshop and Challenge. Lisbon, Portugal: Association for Computing Machinery, 2022, pp. 5–14, co-located with ACM Multimedia 2022, to appear.

[4] S. Amiriparian, L. Christ, A. König, E.-M. Meßner, A. Cowen, E. Cambria, and B. W. Schuller, “Muse 2022 challenge: Multimodal humour, emotional reactions, and stress,” in Proceedings of the 30th ACM International Conference on Multimedia (MM’22). Lisbon, Portugal: Association for Computing Machinery, October 2022, 3 pages, to appear.

Abstract The objective of this paper is to analyze how ads with incongruous humor on Facebook influence female Brazilian consumer engagement, attitudes and purchase intention. An experiment conducted on Facebook with 269 women allowed us to test whether the presence of incongruous humor influences advertisement effectiveness, confirming this hypothesis, demonstrating that humorous appeal has a positive effect on female audiences. Regarding contributions, our findings confirm that engagement, attitudes and purchase intention conform to important measures of advertisement effectiveness in the virtual context; reveal new facets about women's perception of stimuli traditionally designed for men; and show social networks to be fundamental elements for consumer decision-making. Thus, we discuss the role of the Internet as a platform for interaction between companies and users and the need of building a relationship in this context, in which incongruous humor proves to be capable of catching consumer attention, arousing engagement, provoking favorable attitudes and, thereby, driving purchase intention.

This is a dataset containing jokes. The dataset is already in a SQL file to import into MySQL or other tools.

In the U.S., Netflix's total stand-up commissions doubled between the first half of 2023 and the first half of 2024 to **, with the share of female stars amounting to around ** percent. On the other hand, Amazon's commissions declined during the same period, while the proportion of women was ** percent in 2024.

The comedy film market has long been a vibrant segment of the global entertainment industry, consistently delivering laughter and joy to audiences worldwide. As of 2023, the market is valued at approximately $10 billion, driven by a surge in diverse content production and the increasing availability of streaming pla

Dataset Card for Funny Insults

  Dataset Summary

This dataset contains 1,702 humorous insults collected from funny-insults.com. The dataset includes the insult text, categorization information, and user-provided ratings for each entry. This collection represents a variety of comedic insults across different categories that can be used for humor analysis, text generation, or sentiment analysis tasks.

  Languages

The dataset is monolingual:

English (en): All insult… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/funnyinsults.

Financial overview and grant giving statistics of Funny River Crafters

This dataset is a web-scraped collection of one-liner dad jokes, curated to provide a humorous and relatable text resource. Each joke typically features a first part as a statement or question, followed by a witty response, characteristic of classic dad humour [1, 2]. It is designed for applications where engaging and light-hearted text data is required, offering a unique resource for entertainment and computational humour studies [2].

Columns

The dataset contains a single column: * Joke: This column holds the text of each one-liner joke. Each entry is structured as a statement or question followed by its comedic response [1].

Distribution

The dataset is presented in a tabular format, typically a CSV file [3]. It comprises 743 unique joke values, offering a diverse yet focused collection of one-liners [1]. Specific row or record counts beyond unique values are not detailed in the provided information [1, 4].

Usage

This dataset is ideal for various applications, including: * Natural Language Processing (NLP) tasks, such as text generation, sentiment analysis, or understanding comedic structures [2]. * Machine Learning (ML) projects, particularly for beginners exploring text data [2]. * Developing entertainment applications or chatbots that incorporate humour [2]. * Academic research into computational humour and language patterns [2].

Coverage

The dataset is stated to have a global region coverage [5]. It focuses exclusively on dad jokes in the form of one-liners, without specifying particular demographic ranges or time periods for the jokes' origin or collection beyond its creation date listed as 17/06/2025 [5].

License

CCO

Who Can Use It

This dataset is suitable for: * Data scientists and machine learning engineers looking for text data for model training and experimentation. * Developers creating applications that require comedic content or text generation. * Researchers in linguistics, AI, and humour studies. * Beginners in data science and NLP seeking accessible text datasets for learning and practice [2].

Dataset Name Suggestions

• Dad Jokes Database
• One-Liner Humour Collection
• The Dad-A-Base of Jokes
• Jokes Text Dataset

Attributes

Original Data Source: Dad-A-Base Of Jokes

Financial overview and grant giving statistics of Funny Farm Early Learning Center Incorporated

This dataset is developed for a research project “Humour Scandals (Hu-Sca): A cross-national analysis of humour controversies in Europe”, funded by KU Leuven, Una Europa Research Acceleration Fund. The data contains an overview of humor scandals i.e. public controversies originating from humor and dealing with the boundaries of transgressive humor in public debate and their reception in legacy media for eight European countries between 1990 and 2022. The data contains quantatively coded descriptive markers of each humor scandal (e.g. nature of norm transgression, actors involved, duration, timespan) as well as qualitative analysis of the way that the humor scandal was either justified or condemned in national legacy media. This data can be used for the analysis of the role of humor in socio-political conflict and the role of media in the creation and mediation of humor-related controversies.

Financial overview and grant giving statistics of Comedy Alliance Of Tucson

Financial overview and grant giving statistics of Lit Comedy

This dataset is about book series. It has 1 row and is filtered where the books is Squeak! : 100 fun facts about hamsters, mice, guinea pigs, and more. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

About this dataset

Context

The dataset tabulates the Clever household income by age. The dataset can be utilized to understand the age-based income distribution of Clever income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Clever, MO annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Clever, MO household incomes: Comparative analysis across 16 income brackets

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Clever income distribution by age. You can refer the same here