Impact of economic crisis on the social representation of mental health: Analysis of a decade of newspaper coverage

Neto, David Dias; Figueiras, Maria João; Campos, Sónia; Tavares, Patrícia

doi:10.1177/0020764017737102

Cited by 9 publications

(7 citation statements)

References 26 publications

(35 reference statements)

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“…In Portugal, 22.9% of adults have met the diagnostic criteria for a mental disorder in the previous year, and these results are similar to other western countries (ALMEIDA & XAVIER 2013). Another reason for the relevance of addressing mental health is the high rates of stigma (NETO et al 2017;STUART & ARBOLEDA-FLÓREZ 2012). The generalization of negative attitudes towards mental illness means that communities will not discuss or convey information on mental health issues.…”

Section: Introductionmentioning

confidence: 57%

Measuring Mental Health Literacy : Adaptation and Validation of the Portuguese Version of the Mental Health Literacy Scale (MHLS)

Neto¹,

Rocha²,

Figueiras³

et al. 2021

EJMH

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Understanding mental health literacy is essential for promoting empowerment and proactivity in patients, reducing stigma, and increasing population awareness. The constitutive dimensions of mental health literacy are still being researched, and instruments’ research can shed light on the involved processes. The Mental Health Literacy Scale (MHLS) is a self-report measure of mental health literacy. This study aimed to adapt the MHLS to Portuguese and evaluate mental health literacy in a broad sample. A broad sample of 337 individuals participated in the adaptation. Besides filling out the MHLS, the participants were invited to fill out a general lifestyle measure. The global results reveal a good internal consistency of the MHLS. A three-factor structure (i.e., attitudes towards mental illness, knowledge about mental illness, and the ability to recognize symptoms) explained 35% of the total variance. Despite not finding an association with the general lifestyle measure, the MHLS scored higher in women and individuals with higher schooling, as expected. The results reinforce the role of MHLS as a useful measure of mental health literacy. The identified structure is discussed in light of the current understanding and implications of this essential process.

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Section: Introductionmentioning

confidence: 57%

Measuring Mental Health Literacy : Adaptation and Validation of the Portuguese Version of the Mental Health Literacy Scale (MHLS)

Neto¹,

Rocha²,

Figueiras³

et al. 2021

EJMH

Self Cite

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“…For instance, Washer [13] investigated how severe acute respiratory syndrome (SARS) was depicted in newspapers in the United Kingdom. Dias et al [14] presented a study that analyzed the representations of mental health and its treatment and the impact of the 2008 economic crisis. Ribeiro et al [15] investigated how the Zika outbreak was reported in two major newspapers in Brazil.…”

Section: Prior Workmentioning

confidence: 99%

Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

Melo¹,

Figueiredo²

2021

JMIR Public Health Surveill

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Background The COVID-19 pandemic is severely affecting people worldwide. Currently, an important approach to understand this phenomenon and its impact on the lives of people consists of monitoring social networks and news on the internet. Objective The purpose of this study is to present a methodology to capture the main subjects and themes under discussion in news media and social media and to apply this methodology to analyze the impact of the COVID-19 pandemic in Brazil. Methods This work proposes a methodology based on topic modeling, namely entity recognition, and sentiment analysis of texts to compare Twitter posts and news, followed by visualization of the evolution and impact of the COVID-19 pandemic. We focused our analysis on Brazil, an important epicenter of the pandemic; therefore, we faced the challenge of addressing Brazilian Portuguese texts. Results In this work, we collected and analyzed 18,413 articles from news media and 1,597,934 tweets posted by 1,299,084 users in Brazil. The results show that the proposed methodology improved the topic sentiment analysis over time, enabling better monitoring of internet media. Additionally, with this tool, we extracted some interesting insights about the evolution of the COVID-19 pandemic in Brazil. For instance, we found that Twitter presented similar topic coverage to news media; the main entities were similar, but they differed in theme distribution and entity diversity. Moreover, some aspects represented negative sentiment toward political themes in both media, and a high incidence of mentions of a specific drug denoted high political polarization during the pandemic. Conclusions This study identified the main themes under discussion in both news and social media and how their sentiments evolved over time. It is possible to understand the major concerns of the public during the pandemic, and all the obtained information is thus useful for decision-making by authorities.

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“…(Islam & Siddique, 2023) (2) This study aimed at analyzing representations of mental health and its treatment and the impact of the 2008 economic crisis. (Dias Neto ,et al, 2017) (3) The results support biased representation in media discourse, in this case Iran's nuclear program. (Atai & Mozaheb, 2013) (4) The articles and images highlight this complex relationship and point to the synthesis brought about by the pressures of competing perspectives by indicating how women both mobilize their rarity value as women in leadership roles to gain representation in the press yet also mobilize their femininity, their 'womanliness', as a resource (Stead, 2013, p. 71), for instance by being photographed in glamorous clothes.…”

Section: Valuementioning

confidence: 91%

A corpus-assisted semantic profile of the noun representation in CAD and CADS studies on newspaper discourse

Del Fante

2024

JCaDS

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The abstract must not exceed 300 words (among other reasons, because the text box will not accommodate it) The existing literature on newspaper discourse from a CAD (Critical Discourse Analysis) or CADS (Corpus-assisted Discourse Studies) perspective is extensive and there is a large volume of published studies that mention the noun representation in their titles or who put the representation in the press as the main object of investigation. Generally, these works focus on the use of language to represent a social phenomenon like migration, Islam, Europe, homelessness, obesity, and many other events. However, except for some works, the explanation of what the act of representation means is often not directly and overtly addressed. However, the fact that the notion of representation is not often clearly defined in many works (generally for a matter of space) does not mean that the notion is taken for granted or the implications are not considered. For this reason, this paper investigates how the notion of representation is presented. On the basis that the meaning of an expression derives from its use in context, which is intended as all its manifestations through which the expression itself acquires its meaning, the aim of this work is to give a corpus-assisted discourse perspective on the use of the lexical item representation in the academic discourse focused on the news media.

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Impact of economic crisis on the social representation of mental health: Analysis of a decade of newspaper coverage

Abstract: These findings suggest that the representation of mental health is multifaceted and may be affected differently in its dimensions. There is a need for stigma-reducing interventions that both account for this complexity and are sensitive to context and period.

Cited by 9 publications

References 26 publications

Measuring Mental Health Literacy : Adaptation and Validation of the Portuguese Version of the Mental Health Literacy Scale (MHLS)

Measuring Mental Health Literacy : Adaptation and Validation of the Portuguese Version of the Mental Health Literacy Scale (MHLS)

Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach

A corpus-assisted semantic profile of the noun representation in CAD and CADS studies on newspaper discourse

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