scholarly journals Negative Emotional State dan Cyberbullying Pada Mahasiswa

2020 ◽  
Vol 9 (1) ◽  
pp. 41-49
Author(s):  
Fellianti Muzdalifah ◽  
Deasyanti
Keyword(s):  
College Students ◽  
Emotional State ◽  
Cyber Bullying ◽  
Emotional States ◽  
Mobile Media ◽  
State College ◽  
Online Social Media ◽  
Negative Emotional State ◽  
E Mail ◽  
Different Levels

Cyberbullying is a form of aggressive behavior by using telecommunications media with the aim of embarrassing, threatening, and intimidating certain parties. Cyberbullyings widely applied using mobile media, online chatting (whatsapp, LINE), e-mail, and also online social media such as Facebook, Instagram,or  to personal blogs. Cyberbullying evoked negative emotional states namely depression, anxiety, and stress in cyberbullies and cybervictimization. This study provided evidence indicating that college students who experienced in cyberbullying at least 1 week, either cyberbullies or cybervictimization had differences level of negative emotional states,namely depression, anxiety, and stress. The data collection was used the DASS-42 scale to measure negative emotional states (depression, anxiety, and stress). The level of depression, anxiety, and stress were consisted of normal, mild, moderate, severe, and very severe. Meanwhile, Revised Cyber ​​Bullying Inventory-II (RCBI-II) was used to collect cyberbullying data and determined the role in cyberbullying (cyberbullies and cybervictimization). The respondents was 48 cyberbullies and 38 cybervictimization. The result showed that most of 51,1% total of cyberbullies and cybervictimization did not have depression and the rest had different levels of depression. Related to anxiety, cyberbullies showed that 52.1% cyberbullies did not have anxiety. Otherwise in cybervictimization, 28.9% did not have anxiety and another 28.9% were at anxiety levels.Then related to stress, most of 52,3% total of cyberbullies and cybervictimization did not have stress and the rest had different levels of stress.                                                          Keywords: cyberbullying, negative emotional state, college students.

Self-Control Skills and Negative Emotional State: A Focus on Hostility

2002 ◽  
Vol 90 (2) ◽  
pp. 627-633 ◽  
Author(s):  
Elaine M. Heiby ◽  
Adela Mearig
Keyword(s):  
College Students ◽  
Emotional State ◽  
Unipolar Depression ◽  
Brief Symptom Inventory ◽  
The Self ◽  
Self Control ◽  
Emotional States ◽  
Negative Emotional State ◽  
The Relationship

The self-control theory of psychopathology has contributed to the understanding and treatment of unipolar depression. This paper explores the relationship between self-control skills as measured by the Frequency of Self-reinforcement Questionnaire and other negative emotional states, with a focus on hostility. In Study 1, scores on the Brief Symptom Inventory were inversely related to self-control skills among a sample of 53 college students, suggesting potential generalizability of the theory. In Study 2, self-control skills were inversely related to hostility, anger, and aggression among a sample of 68 college students. The role of self-control skills in the regulation of hostility deserves further investigation.

THE EFFECT OF EMOTIONAL STATE ON WAITING IN DECISION MAKING

2008 ◽  
Vol 36 (5) ◽  
pp. 591-602 ◽  
Author(s):  
Ya-Chung Sun ◽  
Shih-Chia Wu
Keyword(s):  
Decision Making ◽  
Experimental Study ◽  
Emotional State ◽  
Emotional States ◽  
Extra Time ◽  
New Information ◽  
Negative Emotional State ◽  
Current Mood ◽  
The Relationship ◽  
Do So

Previous research has indicated that many people often take extra time to consider existing information. They do so possibly in order to acquire more information, or even to “wait” in the hope that new information may be forthcoming before they make a decision. However, recent studies have provided scant information about how waiting affects a person's choice given different emotional states. In this paper, an experimental study was carried out to demonstrate and explain the relationship between waiting and a person's choice. Results show that when conditions are certain, more people choose to wait – when they are in a positive emotional state – in order to maintain their current mood. However, under either certain or uncertain conditions, when people are in a negative emotional state they prefer to take immediate action rather than wait. The causes and implications of this phenomenon are discussed in relation to the existing literature on emotions and choice.

scholarly journals ОСОБЛИВОСТІ МІЖОСОБИСТІСНИХ СТОСУНКІВ ТА КОМУНІКАТИВНИХ УСТАНОВОК ДЕПРЕСИВНИХ ОСІБ

2020 ◽  
pp. 10-15
Author(s):  
Анна Вовк
Keyword(s):  
Interpersonal Relations ◽  
Emotional State ◽  
Psychological Adaptation ◽  
Depressive State ◽  
Negative Emotional State ◽  
Lack Of Control ◽  
Strongly Connected ◽  
Comparison And Analysis ◽  
Acceptance Control ◽  
Different Levels

A comparison and analysis of features of dialogue communication, perceptive and іnteractive competence, relationship disharmony and needs in interpersonal relations, loneliness, emotional barriers in communication for persons with different levels of depression manifestations are made. Interconnections between depression index and dialogue ability in communication, perceptive and іnteractive competence, relationship disharmony (tension, alienation, aggressiveness, conflicts) and needs in interpersonal relations (acceptance, control, inclusion, closeness), loneliness experience, and emotional barriers in a communication are analyzed and interpreted.Depressive state is strongly connected with the need of control of social surrounding, rigidity of negative emotional state with lack of control upon it and loneliness experience. Somatic component of depressive state, which often is called to hide depressive emotions provides social and psychological adaptation of depressive person, helps to take control of social surrounding and legalize the need of social support (however its amount and quality is still not satisfying).

scholarly journals Using Real-Time Social Media Technologies to Monitor Levels of Perceived Stress and Emotional State in College Students: A Web-Based Questionnaire Study

2017 ◽  
Vol 4 (1) ◽  
pp. e2 ◽  
Author(s):  
Sam Liu ◽  
Miaoqi Zhu ◽  
Dong Jin Yu ◽  
Alexander Rasin ◽  
Sean D Young
Keyword(s):  
College Students ◽  
Social Media ◽  
Los Angeles ◽  
Real Time ◽  
Stress Level ◽  
Emotional State ◽  
Well Being ◽  
Emotional States ◽  
Negatively Associated ◽  
Negative Sentiment

Background College can be stressful for many freshmen as they cope with a variety of stressors. Excess stress can negatively affect both psychological and physical health. Thus, there is a need to find innovative and cost-effective strategies to help identify students experiencing high levels of stress to receive appropriate treatment. Social media use has been rapidly growing, and recent studies have reported that data from these technologies can be used for public health surveillance. Currently, no studies have examined whether Twitter data can be used to monitor stress level and emotional state among college students. Objective The primary objective of our study was to investigate whether students’ perceived levels of stress were associated with the sentiment and emotions of their tweets. The secondary objective was to explore whether students’ emotional state was associated with the sentiment and emotions of their tweets. Methods We recruited 181 first-year freshman students aged 18-20 years at University of California, Los Angeles. All participants were asked to complete a questionnaire that assessed their demographic characteristics, levels of stress, and emotional state for the last 7 days. All questionnaires were completed within a 48-hour period. All tweets posted by the participants from that week (November 2 to 8, 2015) were mined and manually categorized based on their sentiment (positive, negative, neutral) and emotion (anger, fear, love, happiness) expressed. Ordinal regressions were used to assess whether weekly levels of stress and emotional states were associated with the percentage of positive, neutral, negative, anger, fear, love, or happiness tweets. Results A total of 121 participants completed the survey and were included in our analysis. A total of 1879 tweets were analyzed. A higher level of weekly stress was significantly associated with a greater percentage of negative sentiment tweets (beta=1.7, SE 0.7; P=.02) and tweets containing emotions of fear (beta=2.4, SE 0.9; P=.01) and love (beta=3.6, SE 1.4; P=.01). A greater level of anger was negatively associated with the percentage of positive sentiment (beta=–1.6, SE 0.8; P=.05) and tweets related to the emotions of happiness (beta=–2.2, SE 0.9; P=.02). A greater level of fear was positively associated with the percentage of negative sentiment (beta=1.67, SE 0.7; P=.01), particularly a greater proportion of tweets related to the emotion of fear (beta=2.4, SE 0.8; P=.01). Participants who reported a greater level of love showed a smaller percentage of negative sentiment tweets (beta=–1.3, SE 0.7; P=0.05). Emotions of happiness were positively associated with the percentage of tweets related to the emotion of happiness (beta=–1.8, SE 0.8; P=.02) and negatively associated with percentage of negative sentiment tweets (beta=–1.7, SE 0.7; P=.02) and tweets related to the emotion of fear (beta=–2.8, SE 0.8; P=.01). Conclusions Sentiment and emotions expressed in the tweets have the potential to provide real-time monitoring of stress level and emotional well-being in college students.

Emotional States, Attentional Resources, and Cognitive Activity: A Preliminary Study

1993 ◽  
Vol 76 (3) ◽  
pp. 851-855 ◽  
Author(s):  
Rémy Versace ◽  
Jean-Marc Monteil ◽  
Louis Mailhot
Keyword(s):  
Recall Test ◽  
Emotional State ◽  
Memory Performance ◽  
Cognitive Activity ◽  
Learning Task ◽  
Emotional States ◽  
Test Analysis ◽  
Attentional Resources ◽  
Negative Emotional State ◽  
Preliminary Study

This study explored the link between emotional state and attentional resources. A neutral or negative emotional state was induced in 50 subjects, then they performed a path-learning task followed by a word-memorization task while reproducing the prelearned path. Memory performance was assessed on a free-recall test. Analysis indicated that a previous induction of a negative emotional state disrupted path learning. Recall was not significantly affected by the subjects' emotional states, but recall was higher for subjects who had automatized the path prior to memorizing the words.

scholarly journals PRECOMPETITIVE EMOTIONAL STATE OF DANCESPORT ATHLETES

2017 ◽  
Vol 2 (105) ◽  
pp. 2-13
Author(s):  
Victoria Andreeva ◽  
Diana Karanauskienė
Keyword(s):  
Emotional State ◽  
Participant Observation ◽  
Personal Characteristics ◽  
Emotional States ◽  
Breathing Exercises ◽  
Self Confidence ◽  
Negative Emotional State ◽  
Depth Interview ◽  
Mental Exercise ◽  
Anxiety Arousal

Background. The paper deals with the precompetitive emotional state of dancesport athletes before competition. Research aim was to analyze pre-competition emotional state of dancesport athletes. Methods. The pre-competition emotional state of dancesport athletes was established using methods of in- depth interview and participant observation. The main reasons for different types of emotional states were identified, and finally, recommendations for athletes and coaches how to overcome immoderate anxiety interfering with good competition results were developed. Results. Precompetitive emotional state before competition may be described as a complex multi-faceted phenomenon which consists of different psychological categories such as: anxiety, arousal, stress, self-confidence, concentration. The results of the interviews and participant observation showed that precompetitive emotional states of the dancesport athletes were both positive and negative. Positive emotional state was shown by the majority of participants. There were found six reasons of positive emotional state and five reasons of negative emotional state as well. Conclusion. To overcome the negative emotional state or reinforce positive emotional state before the competitions it is suggested to listen to pleasant music, do breathing exercises or do the mental exercise. The choice depends on the personal characteristics of athletes.

Effect of Emotions in a Lexical Decision Task

2017 ◽  
Vol 76 (2) ◽  
pp. 71-79 ◽  
Author(s):  
Hélène Maire ◽  
Renaud Brochard ◽  
Jean-Luc Kop ◽  
Vivien Dioux ◽  
Daniel Zagar
Keyword(s):  
Lexical Decision ◽  
Lexical Decision Task ◽  
Emotional State ◽  
Control Group ◽  
Decision Task ◽  
Attentional Orienting ◽  
Emotional States ◽  
Sequence Effect ◽  
Emotion Induction ◽  
Before And After

Abstract. This study measured the effect of emotional states on lexical decision task performance and investigated which underlying components (physiological, attentional orienting, executive, lexical, and/or strategic) are affected. We did this by assessing participants’ performance on a lexical decision task, which they completed before and after an emotional state induction task. The sequence effect, usually produced when participants repeat a task, was significantly smaller in participants who had received one of the three emotion inductions (happiness, sadness, embarrassment) than in control group participants (neutral induction). Using the diffusion model ( Ratcliff, 1978 ) to resolve the data into meaningful parameters that correspond to specific psychological components, we found that emotion induction only modulated the parameter reflecting the physiological and/or attentional orienting components, whereas the executive, lexical, and strategic components were not altered. These results suggest that emotional states have an impact on the low-level mechanisms underlying mental chronometric tasks.

Alcohol Dependence Conceptualized as a Stress Disorder

2019 ◽  
pp. 198-220
Author(s):  
Leandro F. Vendruscolo ◽  
George F. Koob
Keyword(s):  
Prefrontal Cortex ◽  
Alcohol Use ◽  
Alcohol Dependence ◽  
Glucocorticoid Receptors ◽  
Critical Role ◽  
Emotional States ◽  
Brain Circuits ◽  
Negative Emotional State ◽  
Alcohol Alcohol

Alcohol use disorder is a chronically relapsing disorder that involves (1) compulsivity to seek and take alcohol, (2) difficulty in limiting alcohol intake, and (3) emergence of a negative emotional state (e.g., dysphoria, anxiety, irritability) in the absence of alcohol. Alcohol addiction encompasses a three-stage cycle that becomes more intense as alcohol use progresses: binge/intoxication, withdrawal/negative affect, and preoccupation/anticipation. These stages engage neuroadaptations in brain circuits that involve the basal ganglia (reward hypofunction), extended amygdala (stress sensitization), and prefrontal cortex (executive function disorder). This chapter discusses key neuroadaptations in the hypothalamic and extrahypothalamic stress systems and the critical role of glucocorticoid receptors. These neuroadaptations contribute to negative emotional states that powerfully drive compulsive alcohol drinking and seeking. These changes in association with a disruption of prefrontal cortex function that lead to cognitive deficits and poor decision making contribute to the chronic relapsing nature of alcohol dependence.

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