In the year 2018, almost a third of respondents in the U.S. between the ages of 15 to 29 reported feeling stressed, and exactly half reported worry in their daily life. The statistic illustrates the share of repondents who experienced stress, worry, and anger a lot in 2018, by age.

Dataset

This dataset was created by Raoof Naushad

Contents

Financial overview and grant giving statistics of California Association Of Anger Management Providers

This statistic shows the share of viewers who felt angry about the final season of Game of Thrones in the United States as of May 2019. Around 21 percent of viewers stated that they felt angry about Season 8 of Game of Thrones as a whole.

In 2018, more than half of respondents in the U.S. felt they experienced stress during a lot of the day, with another 22 percent (more than one in five) reporting they felt anger during a lot of the day. The statistic illustrates the share of respondents in the U.S. who experienced stress, worry and anger between the years 2006 and 2018. Americans are among the most stressed populations in the world.

Replication code and data for "Anger and Declining Trust in Government in the American Electorate." There are three replication files: 1) a replication file for the analysis of the American National Election Studies (ANES) data; 2) a replication file for the experimental analysis; and, 3) a replication file for the sentiment analysis. Datasets posted here include the 2012 ANES, the experimental data ("aap.csv"), and a series of five datasets that contain the results of the sentiment analysis ("anger_only_results," "anger_politics_results," "salience_results," "control_results," and "angerid").

According to Cognitive Market Research, The Global Anger Room market size will be USD 16.8 billion in 2023 and will grow at a compound annual growth rate (CAGR) of 3.50% from 2023 to 2030.

The demand for anger room services has skyrocketed due to people's increased stress levels over the past few years.
Demand for multiplayer anger rooms remains higher in the anger room market.
The adults category held the highest anger room market revenue share in 2023.

Rising Urbanization will Rise Demand in Anger Room Market

There are multiple reasons why urbanization is rising, and a number of environmental, social, and economic variables influence this global trend. Cities typically provide better access to healthcare and education, as well as more job opportunities and higher income. People move from rural to urban regions as a result, seeking better economic opportunities.

Urban shares are expected to rise in the upcoming decades in every country but at different rates. It is predicted that 68% of people on Earth will reside in cities by 2050 (up from 54% in 2016). In actuality, only a very small number of nations are predicted to have larger rural-urban percentages by 2050.

People are drawn to the cities where these employment are concentrated because of the growing demand for skilled workers created by the growth of industries and the expansion of the technology sector in urban areas. As a result, with increased migration from rural to urban areas, stress regarding new work culture and the surrounding environment increases the demand for anger rooms.

Rising prevalence of Mental Diseases to Expand Global Anger Room Market Size

The aging population, an increase in the prevalence of mental illnesses, and an expansion of mental health awareness campaigns are the main factors driving market expansion.

w, or 1 in every 8 persons, had a mental illness in 2019. Anxiety and depressive disorders were the most prevalent types. Due in large part to the COVID-19 epidemic, the number of individuals suffering from anxiety and depression illnesses increased dramatically in 2020. According to preliminary estimates, anxiety and major depressive disorders have increased by 26% and 28%, respectively, in just a single year.

The Rising Popularity of Anger Management Strategies Drives Market Growth

Moreover, the worldwide mental health industry is expanding due to rising awareness of mental illnesses through advocacy and education, as well as increased respect for human rights and decreased stigma. The fact that governments in many nations are pushing the use of digital and telecommunications solutions to treat mental health issues globally is also fueling the market's expansion.

Market Dynamics of the Anger Room

Key Drivers for Anger Room

Growing Need for Low-Emission Materials for Steel Production: Steel producers are facing mounting pressure to lower CO2 emissions as environmental regulations around the world become more stringent. Because of its high iron content and low gangue levels, HBI is a clean substitute for conventional scrap and iron ore, which makes it perfect for the increasingly popular greener electric arc furnace (EAF) method of producing steel. Increase in Steel Production from Electric Arc Furnace (EAF): The demand for HBI is being driven by the global shift toward steelmaking based on EAF. Because of its consistent chemistry and physical characteristics, EAFs are more compatible with HBI than blast furnaces. EAF capacity expansion is increasing HBI usage as infrastructure investment increases in the Middle East and Asia and developed regions concentrate on decarbonization.

Key Restraints for Anger Room

Expensive capital and production costs: Significant capital investment is needed to set up HBI production facilities, especially for briquetting and direct reduction technologies. In areas with inadequate infrastructure or limited access to reasonably priced natural gas, which is necessary for the process, these high upfront costs may discourage new competitors and restrict adoption. Reliance on the Supply of Natural Gas: The energy-intensive process of producing HBI mainly uses natural gas as a reductant. Operating margins can be significantly impacted by supply disruptions or fluctuations in gas prices. Geographical restrictions result from this reliance since producing HBI may not be profitable in areas lacking...

Background: Digital technologies offer tremendous potential to predict dysregulated mood and behavior within an individual’s environment, and in doing so can support the development of new digital health interventions. However, no prediction models have been built in trauma-exposed populations that leverage real-world data. Objective: This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults. Method: Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (n = 84). Five summary measures from stress scores collected 10 min prior to each EMA were selected using factor analysis of 24 candidates. Results: A high area under the receiver operating curve (AUC) was found for a logistic mixed effects model including these measures as predictors, ranging 0.761 (95% CI:0.569–0.921) to 0.899 (95% CI:0.784–0.980) across cross-validation methods. Conclusions: While the predictive performance may be overly optimistic due to the outcome prevalence (13.8%) and requires replication with larger datasets, our promising findings have significant methodological and clinical implications for researchers looking to build novel prediction and treatment approaches to respond to posttraumatic mental health. Using smartphone and wearable data derived from 98 adults with trauma exposure, this study was able to predict high anger intensity using heart rate variability-based data from the 10 min prior.High anger intensity episodes occurred 14%, and this prevalence rate may affect the performance of the prediction model.Real world prediction tools remain challenging due to data quality issues. Using smartphone and wearable data derived from 98 adults with trauma exposure, this study was able to predict high anger intensity using heart rate variability-based data from the 10 min prior. High anger intensity episodes occurred 14%, and this prevalence rate may affect the performance of the prediction model. Real world prediction tools remain challenging due to data quality issues.

ATTITUDE ON MENTAL HEALTH (ANGER MANAGEMENT) (THE YOUTH BEHAVIOUR RISK FACTOR SURVEILLANCE STUDY 2010) No. of Views : 308

The gender difference in the prevalence of depression is well-documented, poorly understood and multifactorial. Considering that gender differences exist in the expression of emotions, we hypothesized that ambivalence over the expression of sadness and anger contributes to the difference in depression scores between men and women. Questionnaires on depressive symptoms and ambivalence regarding sadness and anger expression were completed by 550 respondents (66.9% women, average age 27.8 years). Women reported more depressive symptoms and were more ambivalent over the expression of both sadness and anger than men. Ambivalence over sadness and – to a lesser extent – anger mediated the relationship between gender and depressive symptoms. We conclude that ambivalence over emotion expression may partly explain why depression occurs more frequently in women than men.

Pre-analysis plan for an experimental study on the effect of anger on persuasion within interpersonal political discussions.

Anger Room Market Outlook

The global anger room market size was USD 16.7 Billion in 2023 and is likely to reach USD 24.1 Billion by 2032, expanding at a CAGR of 3.6% during 2024–2032.



The market is driven by the growing awareness of mental health. Rising societal stress and the increasing demand for unique stress management solutions have given birth to the concept of anger rooms. These spaces, alternatively known as rage rooms or smash rooms, offer a regulated environment for individuals to express their anger physically, often through the destruction of objects. The latest trends in this sector include the integration of virtual reality to enrich the experience and the inclusion of therapeutic guidance to optimize the benefits of stress relief.

The primary driving factors for the growth of this industry include heightened awareness of mental health and the demand for innovative, cathartic stress management techniques. As society becomes more open to discussing mental health, the acceptance and need for services like anger rooms are likely to increase. Moreover, the unique, physical nature of the stress relief provided by anger rooms sets them apart from traditional therapeutic methods, making them an attractive option for those seeking alternative solutions. The potential applications of anger rooms extend beyond individual stress relief, presenting opportunities in various sectors. For instance, they utilize therapeutic settings, where guided sessions help individuals deal with anger management issues. In the corporate world, anger rooms serve as unique team-building exercises, promoting stress relief and camaraderie among employees. These factors are likely to impel the market

Anger Room Market Dynamics

Major Drivers

Increasing anxiety and stress levels among the global population are likely to fuel the market during the projection period. In today's fast-paced world, individuals often face high levels of stress due to various factors such as work pressure, personal issues, and societal expectations. This heightened stress level is expected to push people to seek outlets for their stress and frustration.



Anger rooms, provide a safe, controlled environment for individuals to vent their frustrations physically. The unique concept of these rooms allows individuals to release their stress in a non-destructive manner, making them an appealing option for stress management.



High demand for innovative stress management solutions is another factor driving the market. Traditional methods of stress management, such as meditation and therapy, may not work for everyone. In such cases, people are likely to seek alternative ways to manage their stress.



Anger rooms, with their unique approach to stress relief, are estimated to meet this demand, contributing to market growth. Their appeal lies in their novelty and the immediate physical release they of

Abstract: Black Lives Matter, Occupy Wall Street, and the Tea Party are among the many movements that have reignited media attention to protest activity. Yet, there is much to learn about what this media coverage conveys. In particular, how much does who is protesting matter for how the media portray protesters and their objectives? In this paper, we draw on an extensive content analysis of cable and broadcast news media coverage of protest activities to demonstrate substantial differences in how protests are covered, depending on the race and objective of the protesters. We find that media are much more likely to depict protests by people of color using language that evokes a sense of threat by using anger- and fear-laden language than comparable coverage of protest activity involving mostly White individuals. Our results demonstrate that racial biases in news coverage are much broader than previously thought. In doing so, our work highlights the powerful role that a protester’s race plays in whether media will condone or challenge their political voice.

In 2022, the state of Telangana in India had the highest number of cyber crimes motivated by anger in comparison to the rest of the country. There were approximately 217 cases registered with the Maharashtra authorities. Overall, the country recorded more than 792 cases cyber crimes with anger as motive that year. These crimes came under the purview of numerous sections of the Indian Penal Code under Information Technology Act (Cyber crimes).

Dataset Card for "emotion"

  Dataset Summary

Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper.

  Supported Tasks and Leaderboards

More Information Needed

  Languages

More Information Needed

  Dataset Structure





  Data Instances

An example looks as follows. { "text": "im feeling quite sad and sorry for myself but… See the full description on the dataset page: https://huggingface.co/datasets/dair-ai/emotion.

The two datasets are Weibo data which are used in paper named "Easier contagion and weaker ties make anger spread faster than joy in social media". (https://arxiv.org/abs/1608.03656)Any issues please feel free to contact Jichang Zhao through jichang@buaa.edu.cn.The first dataset, named "users_data", includes 11,753,609 tweets posted by 92,176 users from Sep., 2014 to Mar., 2015. "tweets.txt" and "graph.txt" are the tweets with emotion label and the follow relationship of all users, respectively. In "graph.txt", every line is a following relation which contain two columns. The first item is the follower and the second is the followee. In "tweets.txt", each tweet is represented by three items which respectively are user's id, created time and emotion. If there is a "==>" in the line, it means that this is a retweet and the tweet after "==>" is the original one.The second dataset, which is in the "event_tweets" directory, includes 40,005,242 tweets of 616 different events. Each file in the directory contains tweets that related to the the specific event. And tweets are represented by the created time and the emotion label.

To stand out among the large variations of websites that exist, users should have a good experience. Earlier research found that a good experience influences important user behavior statistics, such as further use of the website. Complexity seems to play a role in the usability of websites and a blockage or delay in reaching the goal leads to negative feelings such as frustration. In this study, FaceReader Online, a tool to measure facial expressions via the internet, was used to measure the effect of the complexity of website design and website tasks on the facial expression anger. Because the expression scores had a low intensity, we calculated a metric for the peak expression. The results indicated that in the more complex tasks the facial expression of anger was higher. These results suggest that the automatically detected facial expression anger could be used to measure usability aspects of a website.

The online anger management class market is experiencing robust growth, driven by increasing accessibility to mental health resources, rising awareness of anger management techniques, and the convenience offered by digital platforms. The market size in 2025 is estimated at $500 million, projecting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the rising prevalence of stress and anxiety in modern life contributes to increased demand for anger management solutions. Secondly, the stigma surrounding mental health is gradually decreasing, leading to greater acceptance of seeking professional help for anger issues. Furthermore, the affordability and convenience of online classes compared to traditional in-person sessions are significant drivers. The diverse range of classes available, catering to specific age groups (teenagers and adults) and therapeutic approaches (Cognitive Behavioral Therapy, Mindfulness-Based techniques), broadens the market's appeal. While data on specific segment shares is unavailable, a reasonable estimation indicates that the adult segment holds the largest market share, followed by the teenager segment. The increasing adoption of online learning platforms and technological advancements further accelerate market growth. However, certain restraints exist. Challenges include ensuring the efficacy of online therapy compared to in-person sessions, addressing concerns about data privacy and security, and overcoming the digital divide affecting access to technology in certain regions. Despite these challenges, the overall market outlook remains positive, indicating substantial potential for growth throughout the forecast period. Continued advancements in technology and innovative approaches to online anger management programs are expected to further enhance market expansion. The strategic partnerships between online platforms and mental health professionals will also play a crucial role in shaping the future of this market.

We study the experimental play of the repeated prisoner's dilemma when intended actions are implemented with noise. In treatments where cooperation is an equilibrium, subjects cooperate substantially more than in treatments without cooperative equilibria. In all settings there was considerable strategic diversity, indicating that subjects had not fully learned the distribution of play. Furthermore, cooperative strategies yielded higher payoffs than uncooperative strategies in the treatments with cooperative equilibria. In these treatments successful strategies were "lenient" in not retaliating for the first defection, and many were "forgiving" in trying to return to cooperation after inflicting a punishment. (JEL C72, C73, D81)

Do English-speakers think about anger as “red” and sadness as “blue”? Some theories of emotion suggests that color(s)—like other biologically-derived signals- should be reliably paired with an emotion, and that colors should differentiate across emotions. We assessed consistency and specificity for color-emotion pairings among English-speaking adults. In study 1, participants (n = 73) completed an online survey in which they could select up to three colors from 23 colored swatches (varying hue, saturation, and light) for each of ten emotion words. In study 2, different participants (n = 52) completed a similar online survey except that we added additional emotions and colors (which better sampled color space). Participants in both studies indicated the strength of the relationship between a selected color(s) and the emotion. In study 1, four of the ten emotions showed consistency, and about one-third of the colors showed specificity, yet agreement was low-to-moderate among raters even in these cases. When we resampled our data, however, none of these effects were likely to replicate with statistical confidence. In study 2, only two of 20 emotions showed consistency, and three colors showed specificity. As with the first study, no color-emotion pairings were both specific and consistent. In addition, in study 2, we found that saturation and lightness, and to a lesser extent hue, predicted color-emotion agreement rather than perceived color. The results suggest that previous studies which report emotion-color pairings are likely best thought of experiment-specific. The results are discussed with respect to constructionist theories of emotion.