Negative News? Take Preemptive Measures

2021 ◽  
Vol 19 (12) ◽  
pp. 8-8
Keyword(s):  
Negative News

Sosyal medyada Suriye’li sığınmacılara yönelik algı: bir sözlük değerlendirmesi

2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Content Analysis ◽  
Syrian Refugees ◽  
Analysis Method ◽  
Social Media Platform ◽  
Content Analysis Method ◽  
Negative News ◽  
Media Platform ◽  
Made In

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.

scholarly journals Prevalence and predictors of posttraumatic stress disorder, depression and anxiety among hospitalized patients with coronavirus disease 2019 in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yaru Chen ◽  
Xin Huang ◽  
Chengyuan Zhang ◽  
Yuanyuan An ◽  
Yiming Liang ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Perceived Social Support ◽  
Trauma Exposure ◽  
Hospitalized Patients ◽  
Depression And Anxiety ◽  
Negative News

Abstract Background Coronavirus disease 2019 (COVID-19) has affected more than 5 million people around the world and killed more than 300,000 people; thus, it has become a global public health emergency. Our objective was to investigate the mental health of hospitalized patients diagnosed with COVID-19. Methods The PTSD checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Trauma Exposure Scale, abbreviated version of the Connor–Davidson Resilience Scale (CD-RISC-10), Perceived Social Support Scale (PSSS) and Demographic Questionnaire were used to examine posttraumatic stress disorder (PTSD), depression, anxiety, trauma exposure, resilience and perceived social support among 898 patients who were hospitalized after being diagnosed with COVID-19 in China. The data were analyzed with t tests, one-way ANOVA and multivariable logistic regression analysis. Results The results showed that the prevalence of PTSD, depression and anxiety was 13.2, 21.0 and 16.4%, respectively. Hospitalized patients who were more impacted by negative news reports, had greater exposure to traumatic experiences, and had lower levels of perceived social support reported higher PTSD, depression and anxiety. Conclusions Effective professional mental health services should be designed to support the psychological wellbeing of hospitalized patients, especially those who have severe disease, are strongly affected by negative news and have high levels of exposure to trauma.

scholarly journals When we enjoy bad news about other groups: A social identity approach to out-group schadenfreude

2016 ◽  
Vol 21 (1) ◽  
pp. 214-232 ◽  
Author(s):  
Jaap W. Ouwerkerk ◽  
Wilco W. van Dijk ◽  
Charlotte C. Vonkeman ◽  
Russell Spears
Keyword(s):  
Social Identity ◽  
Social Identity Theory ◽  
Emotional Response ◽  
Group Identification ◽  
Negative Word ◽  
Bad News ◽  
Coalition Government ◽  
News Reports ◽  
Negative News ◽  
Social Identity Approach

Two studies investigate schadenfreude (pleasure at the misfortune of others) as an emotional response to news about out-group misfortunes in a political and consumer context by analyzing reactions of voters for opposition parties to the downfall of a Dutch coalition government (Study 1), and of BlackBerry users to negative news reports about Apple’s iPhone (Study 2). Consistent with social identity theory and intergroup emotion theory, both studies demonstrate that affective in-group identification increases schadenfreude reactions to news about an out-group’s misfortune, provided that this misfortune occurs in a domain of interest to news recipients. Additional findings show that this interaction effect attenuates when a misfortune instead befalls the in-group (Study 1) and is still observed when controlling for affective dispositions towards the out-group (Study 2). Moreover, results suggest that schadenfreude reactions strengthen subsequent intentions to share news about the out-group’s misfortune with others or to engage in negative word-of-mouth (Study 2).

scholarly journals Tail Behavior and Dependence Structure in the APARCH Model

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Farrukh Javed ◽  
Krzysztof Podgórski
Keyword(s):  
Statistical Inference ◽  
Dependence Structure ◽  
Leverage Effect ◽  
Tail Behavior ◽  
News Shocks ◽  
Negative News ◽  
Asymmetric Responses ◽  
Heavy Tailed ◽  
European Economies ◽  
Theoretical Results

AbstractThe APARCH model attempts to capture asymmetric responses of volatility to positive and negative ‘news shocks’ – the phenomenon known as the leverage effect. Despite its potential, the model’s properties have not yet been fully investigated. While the capacity to account for the leverage is clear from the defining structure, little is known how the effect is quantified in terms of the model’s parameters. The same applies to the quantification of heavy-tailedness and dependence. To fill this void, we study the model in further detail. We study conditions of its existence in different metrics and obtain explicit characteristics: skewness, kurtosis, correlations and leverage. Utilizing these results, we analyze the roles of the parameters and discuss statistical inference. We also propose an extension of the model. Through theoretical results we demonstrate that the model can produce heavy-tailed data. We illustrate these properties using S&P500 data and country indices for dominant European economies.

Mitigating the consequences of negative news: How constructive journalism enhances self-efficacy and news credibility

Journalism ◽  
2021 ◽  
pp. 146488492110627
Author(s):  
Christian Staal Bruun Overgaard
Keyword(s):  
Social Media ◽  
Positive Affect ◽  
Self Efficacy ◽  
Positive Emotions ◽  
Mediating Role ◽  
Negative News ◽  
News Credibility ◽  
Broaden And Build Theory ◽  
Negative Feelings ◽  
Constructive Journalism

An informed electorate is vital for a well-functioning democracy. Yet many citizens intentionally avoid the news because it evokes negative feelings of disempowerment and distrust. This study ( n = 270) investigated how social media exposure to a new journalistic approach, constructive journalism, influences news consumers. The results showed that constructive social media posts, as compared to negative posts, led to higher levels of positive affect, self-efficacy, and perceived news credibility. In line with the broaden-and-build theory of positive emotions, the effects on self-efficacy and news credibility were mediated by positive affect. A similar mediating role was found for negative affect, counter to the theoretical expectations. These findings shed new light on the broaden-and-build theory, suggesting parts of it generalize to the context of news exposure on social media. The findings also suggest that constructive journalism may be an effective way to mitigate some of the main drivers of news avoidance in the 21st century.

Political and Economic Determinants of Asynchronous Approval of New GM Events

2018 ◽  
Vol 19 (1) ◽  
pp. 75-90
Author(s):  
Maurício Benedeti Rosa ◽  
Rosane Nunes de Faria ◽  
Eduardo Rodrigues de Castro
Keyword(s):  
Political Economy ◽  
The Internet ◽  
Negative Bias ◽  
Economic Determinants ◽  
Trade Relations ◽  
Regulatory Quality ◽  
Internet Users ◽  
Negative News ◽  
Consumer Access

AbstractWe use a political economy perspective to provide the first empirical analysis of the main political and economic determinants of asynchronous approval (AA) for a variety of countries over the period 2000–2015. The key results that emerge from our paper are the prominent role of regulatory quality and the number of internet users in a particular country in influencing AA across countries. We found that the higher the share of internet users in a country, the lower the AA. Consumer access to the internet makes them less exposed to negative news about genetically modified (GM) products, as they are less influenced by the negative bias of traditional mass media toward biotechnology. Additionally, the better the regulation quality (the more efficiently a government formulates and implements regulation), the shorter the time necessary to approve new GM events, and the lower the AA. Furthermore, our findings confirm that determinants such as corruption, trade relations with stringent markets, and the size of the rural population are also important in explaining AA of GM events.

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