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In this chapter, we examine the public’s understanding of implicit bias, a topic that has only recently caught the public’s attention. Given that political elites often set the contours of debate on political issues, we begin by conducting a systematic content analysis of newspaper headlines and cable news transcripts to assess the prevalence and nature of media coverage of implicit bias. We find that partisan media utilize starkly different frames regarding the scientific validity of the concept of implicit bias, the political intentions of those who use the phrase, and the requisite political recourses (if any). We then utilize two individual-level datasets to examine the mass public’s understanding of implicit bias. An original survey reveals a stark gulf in partisan understandings of implicit bias and an analysis of Project Implicit data highlights the interplay between personalized feedback from the IAT and ideology in shaping evaluations of the IAT. We conclude with a discussion of the challenges of science communication, particularly on issues relating to race, in a politically polarized age.
In Chapter 7, the author introduces both content analysis and basic statistical analysis to help evaluate the effectiveness of assessments. The focus of the chapter is on guidelines for creating and evaluating reading and listening inputs and selected response item types, particularly multiple-choice items that accompany these inputs. The author guides readers through detailed evaluations of reading passages and accompanying multiple-choice items that need major revisions. The author discusses generative artificial intelligence as an aid for drafting inputs and creating items and includes an appendix which guides readers through the use of ChatGPT for this purpose. The author also introduces test-level statistics, including minimum, maximum, range, mean, variance, standard deviation, skewness, and kurtosis. The author shows how to calculate these statistics for an actual grammar tense test and includes an appendix with detailed guidelines for conducting these analyses using Excel software.
The aim was to gain a deeper understanding of the meaning of reconciliation as a concept in palliative care. Terminal illnesses affect almost all aspects of life and being close to death may lead to a need for reconciliation. The end of life is stressful on an existential level for both patients and relatives. It can therefore be of relevance for palliative care nurses to understand the meaning of reconciliation.
Methods
This study used a design for a literature study in accordance with a hybrid model. A deductive qualitative content analysis of autobiographies about being seriously ill and in a palliative stage in life was used to test the meaning of reconciliation. Ethical aspects concerning the use of autobiographies and the ethical principles of the Helsinki Declaration were considered. The theoretical perspective was the caritative theory of caring.
Results
The result showed that for patients in palliative care, reconciliation can be described as a strive for acceptance, to live in a truthful way, to forgive and be forgiven. People wish to create meaning in their existence and reconcile as a whole in body, spirit, and soul. By striving to unite suffering, life, and death as well as a peaceful relationship with relatives, people can achieve reconciliation at the end of life. Reconciliation is something ongoing and can be a force in what has been, what is, and what will be.
Significance of results
We conclude that reconciliation is a concept of importance when caring for patients in end-of-life care. However, reconciliation can be expressed in different ways without necessarily using the concept itself. A broader and deeper understanding of the concept facilitates conversations about the meaning of reconciliation in palliative care and can enable patients who strive to achieve reconciliation to be more easily identified and supported.
To investigate how dieting is portrayed on TikTok and the potential implications for public health considering the effect of diet culture on eating disorders amongst young people.
Design:
A cross-sectional descriptive content analysis of 250 videos from the five most popular diet-related hashtags. A codebook was developed to analyse the content of the videos and collect the engagement for each video (likes, comments and shares).
Setting:
TikTok website.
Participants:
There were no participants in this study.
Results:
More than half of the videos portrayed ‘body checking’, a potentially harmful practice for body image. Of the videos that represented body image, almost half represented body image negatively. However, most videos promoted the idea of ‘healthy eating’, and only 6·4 % displayed disordered eating behaviours. Over half of the videos provided dietary advice, and of those videos, most content creators claimed to be experts (64 %). Claiming expertise was not significantly associated with engagement; however, the use of humour was significantly associated with engagement. Additionally, males were more likely than females to disclose their goals of the diet.
Conclusions:
Overall, it appears that TikTok is commonly used to share nutrition tips and personal experiences around dieting and eating in general, often employing humour as an effective technique. The popularity of the platform and rapid dissemination of information would be a useful tool for health professionals, especially those working with eating disorders, to utilise.
This article investigates legislators’ willingness to talk about gender and women during policy making discussions, asking whether it is conditional on their sex or partisanship in environments where party discipline does not constrain their speech. The Canadian Senate offers a case of a legislature with low or absent party discipline. A quantitative content analysis of nearly 1,000 Senate committee meetings confirms that sex is a primary indicator of legislators’ inclination to talk about gender and women. Moreover, women senators who sit on committees with a critical mass of women members (30% or greater) are more likely to talk about gender and women, making the case for the importance of women’s descriptive representation. Partisanship and independence had no significant effect on senators’ propensity to discuss women. The findings suggest that partisanship does not constrain legislators’ representation of women in environments with low party discipline.
This study explores vulnerability narratives used in relation to older adults and others during the COVID-19 pandemic. A mixed-method content analysis was conducted of 391 articles published in two major newspapers in Canada and the USA during the first wave of the pandemic. The findings indicated that during the early months of the pandemic, limited attention was directed towards its impact on older adults or other ‘vulnerable’ subpopulations in both countries. Where evident, intrinsic (individual-level) risk factors were most consistently used to frame the vulnerability of older adults. In contrast, vulnerability was more likely to be framed as structural with regard to other subpopulations (e.g., ethno-racial minorities). These narratives also differed somewhat in Canadian and US newspapers. The framing of older adults as intrinsically vulnerable reflects ageist stereotypes and promotes downstream policy interventions. Greater attention is needed to the role of structural factors in influencing pandemic-related outcomes among older adults.
Since the beginning of the Syrian conflict in 2011, Syrians have faced violence and displacement causing an increase in mental health issues. The COVID-19 pandemic, the 2023 earthquake, and deteriorating living conditions have exacerbated these issues. Suicide in Syria remains an under-researched topic since accurate data are difficult to obtain. In this study, we aimed to explore the demographics and risk factors of suicide in Syria by performing a retrospective content analysis of selected online news (media) outlets from across Syria. Twelve news outlets from the three regions of Syria were selected and news of suicide cases were searched retrospectively. The age range was between 9 and 79 years old with the average age being 27.1 ± SD 5.9 years. The most reported causes of suicide were harsh living conditions (18.5%) and relationship problems (18.3%). The most common method of suicide was hanging followed by using firearms. More suicides occurred at night and in the summer and spring seasons. Based on our study’s results, young adult, male, unmarried, individuals in rural settings and northern governorates were at the highest risk of suicide in Syria. This study highlights the urgent need for mental health interventions that address the unique challenges faced by Syrians.
Examine the key elements that characterise social media advertisements targeted at adolescents by asking adolescents which features of Instagram ads promoting ultra-processed products make them designed to appeal to adolescents.
Design:
Instagram ads promoting ultra-processed products and brands were selected from a database in which ads had been classified regarding whether they were primarily targeted at adolescents from an adult perspective. Adolescents completed a sorting task in small groups and were requested to reach a consensus through discussions and sticky notes regarding whether sixty ads were designed to appeal to them. The sorting task was analysed using content analysis based on inductive coding.
Setting:
One private secondary school and two after-school clubs.
Participants:
Convenience sample of 105 Uruguayan adolescents aged 11–17 years.
Results:
Ten categories were identified regarding the reasons for sorting ads as (not) designed to appeal to adolescents: product type, graphic design, explicit references to age groups, language, activities or themes, memes, celebrities, characters, promotions and novelty. Product type emerged as a key element, with adolescents perceiving ads as designed to appeal to them simply because they promoted specific products.
Conclusions:
This research contributes to the validation of criteria defined in previous studies and can be used for the development of tools to monitor the prevalence and power of adolescent-targeted digital marketing. However, the importance attributed to type of product suggests that regulations should not exclusively focus on exposure to digital marketing specifically targeted at adolescents but also on exposure to marketing in general.
Suicide notes are an important warning sign for suicidal behaviors. The aim of this exploratory research is (a) to contribute to understanding the place of suicide notes in the spectrum of suicidal behaviors in Portugal, and (b) to analyze the content remembered by individuals regarding a suicide note. Two complementary studies were carried out. In the first, a quantitative investigation, the statistical relationship of writing a suicide note: To the occurrence of lifetime suicide attempts, to lifetime self-harming behaviors, and to suicidal ideation in the two weeks prior to the assessment was evaluated. In the second study, a qualitative investigation, the content recalled by individuals regarding a suicide note was analyzed. In the quantitative study, 841 adults aged between 18 and 65 years, and 1,012 young adults participated. In the qualitative study, 18 young adults participated. Findings of the quantitative study reveal that writing a suicide note significantly related to the lifetime presence of a suicide attempt and to self-harming behaviors and to suicidal ideation in the two weeks prior to the assessment. Findings of the qualitative study suggest that individuals who have written suicide notes exhibit a significant self-oriented focus, yet they also demonstrate a strong sense of concern for the survivors.
Transnational corporations have come under pressure to show that their lobbying behavior is consistent with their corporate social responsibility (CSR) policies. Few empirical studies, however, have examined how companies coordinate their CSR and public policy activities or how aligned these activities are towards common goals. We address these questions by evaluating the testimony that large corporations have given to relevant UK parliamentary committees. Using an original coding frame, we assess the extent to which companies with strong CSR credentials align their testimony with the norms of the sustainability field as well as how supportive high CSR companies are of state interventions into the market. We find consistent differences in how high and low CSR companies lobby before these parliamentary committees. High CSR companies are more likely to discuss and support specific policy measures than their low CSR counterparts and to offer more fleshed out justifications for their policy positions.
In this chapter, I introduce the methodological choices adopted in this book and present the results of the content analysis carried out on all Article 3 decisions issued between 1967 and 2016. Instead of studying norms as unitary phenomena, I disaggregate them to do this analysis. I focus on each and every obligation that a norm contains and trace the norm’s transformation by taking these separate obligations as a reference. The chapter demonstrates the distinct obligations that the norm against torture and inhuman or degrading treatment entailed during the period under study. It then explains why looking at these obligations separately helps us better understand the pace and the magnitude of change. The chapter also introduces some preliminary analysis probing the dominant tendencies of the European Court’s different incarnations, which range from audacity, selective audacity, selective forbearance, and forbearance. This chapter thus presents a bird’s-eye-view analysis, providing an overview before turning to more in-depth analyses of different change episodes in the following chapters.
Analyzing the appearances of political figures in large-scale news archives is increasingly important with the growing availability of large-scale news archives and developments in computer vision. We present a deep learning-based method combining face detection, tracking, and classification, which is particularly unique because it does not require any re-training when targeting new individuals. Users can feed only a few images of target individuals to reliably detect, track, and classify them. Extensive validation of prominent political figures in two news archives spanning 10 to 20 years, one containing three U.S. cable news and the other including two major Japanese news programs, consistently shows high performance and flexibility of the proposed method. The codes are made readily available to the public.
Administrative tribunal judges determine rights and entitlements regarding bureaucratic decisions. In immigration appeal cases, they review negative decisions of permanent residency acquisition and family reunification. Based on an analysis of all immigration appeal decisions in Canada’s Quebec province over a period of twenty-three years, we find that tribunal judges confirm the bureaucratic decision in the vast majority of cases, noting the migrants’ inability to meet the annual income requirements, and rarely reverse the decision in favour of migrants. Documenting the marginal contribution of tribunal judges to promoting administrative justice, this article contributes to the debate on whether and how courts can advance immigrants’ rights.
Studies inspired by the varieties of capitalism (VoC) approach suggest that in coordinated market economies, some employer associations support public social policies to encourage the workforce to invest in company and industry-specific skills (VoC thesis). Yet the VoC thesis remains disputed. We present and assess an alternative thesis that builds on employers’ interest in the protection of labor supply (labor supply thesis). We test the labor supply thesis using a systematic content analysis of 370 press releases issued from 2002 to 2017 and find evidence of moderate employer support for more labor-activating social policies and less labor-protective social policies. Moreover, the analysis shows a decline in preference heterogeneity, with the positions of the four German employer associations converging toward the end of the period analyzed. Our findings have theoretical and methodological implications: First, they point to the relevance of labor supply as a source of employers’ social policy preferences. Second, they point to the need for a more systematic measurement of employer policy positions to be able to compare positions accurately.
Ocean literacy (OL) proposes to include ocean and marine environment-related content in school curricula. Such a topic has been deemed effective for citizens to develop actions and attitudes towards the health of marine ecosystems. This study aimed to verify the presence and frequency of OL principles and concepts in the Brazilian high school curriculum at the federal (National Curricular Parameters-PCN) and regional (Rio de Janeiro - Curricular Reference-RC) levels. Both PCN and RC contained OL-related content. Moreover, Biology and Geography were the subjects with the highest numbers of OL concepts, both in the PCN (26 and 27, respectively) and in the RC-RJ documents (28 and 24, respectively), while OL concepts were very little represented in History subject. A Mann–Whitney U-test did not indicate statistically significant differences in the number of concepts between PCN and RC-RJ (p = 0.54). A principal component analysis discriminated the documents according to subjects, regardless of their origin (federal or regional). These results provide an unbiased assessment of the relationship between the curriculum and OL in a strongly affected area (Rio de Janeiro State coastal zone [CZ]). Therefore, these results provide valuable support for managers seeking to promote effective CZ management practices and public compliance.
To describe nurses’ experiences of caring for individuals who have attempted suicide in specialized palliative care and to describe if the care of these individuals changed after the suicide attempt.
Methods
A qualitative, descriptive study was conducted. Nine nurses working in specialized palliative care units were interviewed following a semi-structured interview guide. Conventional content analysis was used in the analysis process.
Results
The results are presented in 3 categories: “A suicide attempt evokes strong emotions,” “Health-care efforts changed after the suicide attempt,” and “Experiences for the rest of working life.” Suicide attempts aroused emotions in nurses such as frustration, compassion, and feelings of being manipulated. The relationship between the nurse and the individual was strengthened after the suicide attempt, and their conversations became deeper and changed in nature. Health-care efforts relating to the individual increased after the suicide attempt.
Significance of results
The results of the study can create an awareness that the palliative process also includes the risk of suicide and can be used to create conditions for nurses to be able to handle questions about suicide without fear. The results of the study can be used as an “eye opener” to the fact that suicidality occurs in palliative care. In summary, there is a critical need for nursing education in suicide risk assessment and continued follow-up care for patients at risk of suicide within palliative care.
This paper addresses the positions of unions and employer associations towards the level of unemployment benefits and active labour market policy (ALMP). These are prominent examples of social compensation and social investment policies respectively. The new dataset ‘Reform Monitor on Political Conflict’ (ReMoPo) is based on expert interviews and a systematic text analysis of all relevant press releases. Over a time-span of 14 years (2000-2014) the data clearly shows conflict between social partners on the level of unemployment benefits whilst there is consensus towards ALMP. I show that, for unemployment benefits, different motivations do lead to different positions. However, for ALMP, different motivations combine with overlapping interests, resulting in a common positive stance. The main theoretical implications of these findings were two-fold: firstly, the type of organisation does not predict positioning on welfare state issues, whereas pragmatic considerations do. Secondly, I suspect that the divergence of motivational factors combined with a consensus towards particular measures is specific to the concept of social investment. This is because social investments (training and qualification measures in this case) were expected to have the most far-reaching and long-lasting positive effects on both individuals and companies and were therefore supported by unions and employer associations.
To assist communities who suffered from hurricane-inflicted damages, emergency responders may monitor social media messages. We present a case-study using the event of Hurricane Matthew to analyze the results of an imputation method for the location of Twitter users who follow school and school districts in Georgia, USA.
Methods:
Tweets related to Hurricane Matthew were analyzed by content analysis with latent Dirichlet allocation models and sentiment analysis to identify needs and sentiment changes over time. A hurdle regression model was applied to study the association between retweet frequency and content analysis topics.
Results:
Users residing in counties affected by Hurricane Matthew posted tweets related to preparedness (n = 171; 16%), awareness (n = 407; 38%), call-for-action or help (n = 206; 19%), and evacuations (n = 93; 9%), with mostly a negative sentiment during the preparedness and response phase. Tweets posted in the hurricane path during the preparedness and response phase were less likely to be retweeted than those outside the path (adjusted odds ratio: 0.95; 95% confidence interval: 0.75, 1.19).
Conclusions:
Social media data can be used to detect and evaluate damages of communities affected by natural disasters and identify users’ needs in at-risk areas before the event takes place to aid during the preparedness phases.
This chapter focuses on content analysis and introduces the collection of data from Twitter by either select keywords or languages. It then develops computerized content analysis techniques for use on tweets, covering the particular challenges of adapting these techniques for usage on the text from social media (for instance, dealing with the often very short passages of text, the especially dense usage of colloquialisms, and the frequent mixing of different languages within a particular source of social media text data). It also covers the download of other forms of content (such as video and images) and the handling of meta-objects such as mentions and hashtags.
Parties usually argue in favour or against a government coalition based on party considerations in terms of projected policy implementation, power in office and vote maximization – that is, the ‘policy, office, votes’ triad. So far, however, it remains unclear which claims mainstream parties invoke to motivate their choice to rule or not rule with populist parties. Adopting the ‘policy, voter, office’ triad, this article examines mainstream parties' Twitter claims on ruling with populist parties in Austria, Belgium, Germany and the Netherlands (2006–2021, N = 1,919). Mainstream parties mainly reject ruling with (mostly radical right) populist parties. To justify unwillingness, policy-based motives referring to the populist parties' extremist nature trump motives on office-seeking and vote maximization. To justify willingness, predominantly office-seeking motivations are invoked. Party characteristics (ideology, incumbency status, size) and context, however, shape these claims. This study sheds light on mainstream parties' patterns of political communication on coalition formation with populist parties.