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This chapter examines informative propaganda—state media’s effort to appear as a credible news source, retaining pro-regime audiences. Rather than relying on political narratives alone, Russian state television invested in diverse reporting to meet news consumers’ informational needs. The chapter distinguishes informative propaganda from “honest” propaganda: its aim is not to admit inconvenient facts but to construct an impression of journalistic authority. Analyzing Channel One’s prime-time broadcasts in 2000–2021, it identifies nineteen news topics across five domains—international affairs, domestic policy, domestic problems, general interest, and soft news—showing that about a quarter of broadcasts covered non-political content. The chapter also analyzes how state media mimic journalistic credibility through signals of timeliness, field reporting, and investigative effort, documenting their growing use over time. Finally, it reexamines the “confounding” hypothesis, arguing that incoherent propaganda messaging reflects improvisation rather than a deliberate strategy to confuse. The findings explain how service propaganda keeps pro-regime audiences satisfied and reduces demand for independent journalism.
This chapter investigates reaffirming propaganda in Russian state television under Vladimir Putin. It argues that state media sustain authoritarian rule by validating the collective identities and beliefs of pro-regime citizens. The chapter first documents shared sources of pride among Putin supporters—the Great Patriotic War, the space program, international prestige, sports, military might, and cultural heritage—drawing on surveys. It then presents a quantitative analysis of more than 89,000 prime-time news transcripts by Channel One, Russia’s flagship state television station, covering 2000 to 2021. Using machine learning, the chapter identifies seven reaffirming themes constituting a substantial and growing share of daily news coverage. An in-depth examination of selected broadcasts reveals eight recurring rhetorical narratives, including appeals to Russia’s centrality, external validation, collective pride, and national identity. The findings show that Russian state television consistently offered an emotionally resonant, identity-affirming story of national greatness—designed not to persuade skeptics, but to reinforce the bond between the regime and its supporters.
Design is a complex cognitive activity that can introduce distinct forms of stress. Despite growing attention to stress in design contexts, existing research remains fragmented and lacks a unified conceptual framework. This study conducts a scoping review, using an interpretive metasynthesis approach, to integrate existing knowledge and conceptualize design stress as a distinct, process-embedded phenomenon. Unlike occupational stress or cognitive load, design stress emerges within iterative, ill-structured and cognitively demanding design activities. Following PRISMA-ScR guidelines, relevant studies were identified in major academic databases. The study combines scientometric analysis using VOSviewer with qualitative approaches, including grounded theory and content analysis, to map and interpret the field’s structure. Findings identify “mental stress” as the dominant keyword, with studies clustering into three areas: design-related harm, stress in design and their bidirectional relationship. Consequently, the novel topic of “design stress” is identified and introduced. Design stress manifests in multiple forms and across levels, with significant and diverse impacts. To identify, analyze and manage stress while enhancing productivity, a multifaceted approach is required. These findings offer valuable insights for professionals addressing stress in design environments. By establishing a structured framework for future research, the study provides strategies to improve performance, optimize creativity and reduce cognitive burdens throughout the design process.
The contested 2020 report of phosphine in Venus’s atmosphere triggered one of the most prominent recent debates in astrobiology, raising the possibility of extraterrestrial life while exposing deep scientific uncertainty. This study examines how English-language news media communicated this uncertainty over time and across news outlet types. Drawing on a standardized content analysis of news coverage published between September 2020 and June 2025, we trace shifts in uncertainty framing across four periods of the scientific debate. Findings show that media coverage was closely aligned to the scientific agenda. However, media reports – particularly during the initial discovery period – often expressed greater certainty about both phosphine and extraterrestrial life than was apparent in exemplary scientific publications. Consensus uncertainty was the most prominent uncertainty frame, accurately reflecting expert disagreement while posing potential challenges for public trust. Media types differed markedly, with mass-market media exhibiting more sensational framing and specialist science outlets adopting greater epistemic caution. Notably, clickbaiting strategies were relatively rare across the sample. Together, the findings show how media coverage selectively communicates and contextualizes uncertainty in reporting on frontier science.
Moving beyond experimental and survey evidence, Chapter 5 tests the link between the desire to maintain white dominance and the use of racial appeals in the 2016 campaigns for the House of Representatives. This chapter outlines the ways in which racial appeals have been used in campaign advertising. To do so, it analyzes an original dataset of more than 1,900 campaign advertisements coded for the presence of negative racial appeals. This supplements the data from the Wesleyan Media Project, which collects all television advertisements aired for the top 210 media markets, offering a comprehensive overview of the 2016 House elections. The analysis finds that white, male, Republican politicians are most likely to rely on negative racial appeals – and that Islamophobic appeals are most prevalent in this particular election. Further, bolstering the central claim of this manuscript, it finds that the congressional district's level of racial resentment powerfully shapes whether negative racial appeals will be used in campaigning – much more so than more “objective” measures of threat like racial population shifts. These findings bolster the book’s claim that perceptions of supposed challenges to white dominance drive tolerance for negative, explicit racial appeals more than objective changes.
The Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) initiative sought to catalyze timely scientific understanding of approaches to address COVID-19 disparities through community engaged research. It also sought to foster sustainable community-academic partnerships as key infrastructure for responding to emerging public health crises.
Methods:
We integrated bibliometric, Altmetric, and network analyses to examine the volume and scope of research produced by the RADx-UP initiative, its translational impacts, and how community partners were integrated into research networks. We identified Scopus- and PubMed-indexed scientific manuscripts supported by RADx-UP funding through June 2024. We extracted metrics from Scopus, PlumX, and iCite, and via structured coding. Network analysis explored community partners’ positioning in co-author networks across three time points.
Results:
The initiative produced 334 publications during the study period. Studies most frequently focused on Hispanic/Latino (25.1%), children and adolescents (19.2%), and Black/African American (18.9%) populations. The average relative citation ratio (RCR) was 2.07. Altmetrics indicated public engagement through mentions in earned media (761), social media (1,971), and citations in policy documents (90). Community partners were represented in 18% of network components in 2022 and 41% by 2024. While community partners’ total direct connections to other investigators did not consistently increase, their connections to influential investigators, as measured by power centrality, did (−0.96, −0.75, −0.37 in 2022, 2023, and 2024, respectively).
Conclusions:
These findings point to the greater-than-average impact of RADx-UP publications and initial community translation. They also highlight contributions to the research ecosystem that could scaffold long-term research quality and productivity, and broader impact.
Generative artificial intelligence (GenAI) represents a major shift in technological innovation, capable of transforming daily life and professional sectors, including the law. GenAI leverages advanced models to create new content, from text and images to music. In legal practice, it offers opportunities to streamline tasks like legal research, document drafting, contract review, and client communication. However, widespread use of general-purpose GenAI tools (e.g., ChatGPT) not designed specifically for legal contexts introduces significant risks. These include factual inaccuracies, breaches of confidentiality, privacy violations, and potential copyright infringements. Some US court cases have already revealed the misuse of AI, citing fabricated case-laws. In response, there is growing demand to regulate AI use in the legal field through revised codes of conduct and specific guidelines. This study focuses on the mentioned national and international guidelines issued for legal professionals using GenAI. Using content analysis methods, the research sheds light on shared policies such as the necessity of client consent and confidentiality protection and risks forecasted as intellectual property violations and the reinforcement of cognitive biases, highlighting how bar associations and similar bodies are shaping responsible AI use in legal practice.
This research was conducted to determine if and how Australian and Canadian dietetic regulatory bodies incorporate social justice into regulatory documents and how this compares between two otherwise demographically and politically similar countries.
Design:
Quantitative and qualitative content analysis of Australian and Canadian dietetic regulatory documents was performed to determine how often and in what context social justice terms were incorporated into dietetics regulation.
Setting:
Australia and Canada
Participants:
Regulatory documents in Australia and Canada
Results:
Findings reveal that social justice is framed differently between the two countries, particularly related to working with people who experience marginalisation. Regulatory documents seldom addressed issues of systemic injustice, focusing instead on self-awareness and individualistic approaches to care.
Conclusions:
Social justice is currently framed in nutrition and dietetics regulatory documents in ways that do not align with core principles of social justice. Social justice should be reframed in regulatory documents to shift attention away from awareness, towards action, and should be done in a way that addresses systemic injustices in healthcare. Developing a clear and consistent definition of what social justice is is a critical first step in achieving this goal to overcome the challenges identified in this research study.
This article contributes to the understanding of the racial politics underpinning nation branding through a two-step mixed-method analysis of the Image Bank of Sweden, an online promotional material provided through the branding platform Sharing Sweden. First, an exploratory quantitative analysis reveals a paradox: while White individuals overwhelmingly dominate the images of Sweden, Black and Asian individuals appear at rates disproportionate to their actual demographic presence – particularly in contexts related to education and student life. Second, a multi-modal discourse analysis of images and texts shows how the representations of higher education and student life mobilize racialized bodies to project an image of Sweden as diverse, modern, and globally competitive. At the same time, White students’ portrayal is accompanied by messages of Swedish traditions, reinforcing existing views of Sweden as a White nation. Ultimately, we argue that such portrayals reproduce the logics of tokenistic multiculturalism and commodification of racial difference and whiteness within the aesthetic economy of nation branding.
Chapter 5 tackles the meanings and emotions an image can afford through its contents and form. The body of the image refers to the characteristics of the image, its visual features, pictorial composition, and material form, and how those together afford certain meanings and interpretations of the image in a specific moment in its life trajectory. The visual interpretation method is presented then applied on a case example of street poster images.
Following Entman’s observation that policy frames define social problems, diagnose causes and suggest remedies, we examined the strategies that 12 U.S. governors (from states matched according to population size and density, demographic composition, per capita incomes, geographic proximity, and COVID-19 incidence) used to frame COVID-19 policy agendas. After scraping the governors’ statements about COVID-19 from press releases issued from January 2020 to May 2023 (N = 14,629), we leveraged ChatGPT (GPT) to identify and assess the intensity of public health, economic stability, and civic vitality frames. Subsequent analysis explored differences in the framing strategies according to the governors’ political party and gender. In the process, this study underscores the importance of AI prompt engineering to realize GPT’s transformative potential to facilitate communication research by efficiently identifying and assessing the content of policy frames.
Considering that the members of the International Non-Governmental Organizations (INGO) Accountability Charter played a prominent role in initiating the first sector supplement of the Global Reporting Initiative for non-governmental organizations (NGO), the purpose of the paper is to investigate their sustainability reporting (SR) practices in order to evaluate to what extent INGO Charter members comply with this voluntary accountability standard for SR. The empirical analysis is based on a content analysis of sustainability reports. The findings indicate that most of the INGO Charter members are far away from a comprehensive reporting practice. Hence, critical voices could assert that their reporting behavior seems to be more in line with facade building than the idea of providing a comprehensive account. By adapting a multiperspective theoretical discourse about the potential and shortcomings of SR to the NGO context, the study contributes to a field-specific theory-based pluralistic critical evaluation of SR as a major cross-sectoral innovation in voluntary accountability initiatives.
This paper presents a critical analysis of present approaches to studying not-for-profit performance reporting, and implications of research in this area. Focusing on three approaches: content analysis of publicly available performance reporting; quantitative analysis of financial data; and (rarer) mixed/other methods, we consider the impact of these on our knowledge of not-for-profit performance reporting, highlighting gaps and suggesting further research questions and methods. Our analysis demonstrates the important role of regulation in determining the research data available, and the impact of this on research methods. We inter-connect the methods, results and prevailing view of performance reporting in different jurisdictions and argue that this reporting has the potential to influence both charity practices and regulators’ actions. We call for further research in this interesting area. Contribution is made to the methodological literature on not-for-profits, and ongoing international conversations on regulating not-for-profit reporting.
Nonprofit organizations (NPOs) have a moral obligation to act in the public interest and are thus expected to lead by example in transparency. Yet, by focusing on the benefits that NPOs derive from being transparent (i.e., the instrumental approach), prior literature has tended to neglect the view of transparency as a moral responsibility regardless of the associated benefits (i.e., the normative approach). We suggest that embracing a normative approach may enable a more comprehensive conceptualization and operationalization of NPO transparency. Based on a systematic literature review, this study conceptualizes NPO transparency as a three-dimensional construct, comprising completeness, accessibility, and inferability. Such conceptualization is then translated into an extensive transparency index that NPOs, with sufficient staff and resources, can use to monitor their practices. Finally, we assess the appropriateness of the conceptualization and the index through a content analysis of 432 NPO websites in Belgium. By highlighting inferability as an important but understudied dimension, we contribute to a more comprehensive normative understanding of NPO transparency.
Multiple-identity organizations possess identity characteristics that belong to different and potentially conflicting value systems. How exactly these identities are projected in such an organization’s external communication has hardly been investigated. Here, we present a method that provides a systematic way to analyse the projected identity of multiple-identity organizations. A quantitative content analysis of the annual reports of a Dutch multiple-identity organization shows the presence of its utilitarian and ideological identity through the years 1998–2016. Results suggest that the relatively strong emphasis on the ideological identity of the organization is not in line with the identity perceived internally. Contextual knowledge about changes in the leadership, stakeholders’ demands, and the annual turnover provides a more thorough understanding of the research results. This study shows the volatility of identity, and it supports the presupposition that multiple-identity organizations are flexible in adapting their identity to changing circumstances.
Moldova’s geopolitical position, caught between Russia and the West, presents a critical, yet often oversimplified, lens through which to understand its post-Soviet development. This article problematizes the assumption, arguing that Moldovan party politics demonstrates a more fluid and contested landscape than commonly portrayed. Through a qualitative analysis of 31 party electoral programmes between 2001 and 2024, we map the evolution of ‘geopolitical codes’ – how parties articulate foreign policy – and examine their impact on consensus-building and strategic choices. The findings reveal nuanced ideological distinctions within both pro-Russian and pro-European factions, and adaptive codes shaped by both domestic competition and transnational pressures. Crucially, we demonstrate how inter-party dynamics – beyond simple geopolitical alignment – mediate external influences and shape Moldova’s foreign policy. This research contributes to the literature by moving beyond deterministic geopolitical frameworks, highlighting the agency of domestic actors in peripheral states, and offering a deepened understanding of how party competition shapes geopolitical orientation and consensus formation.
This guide provides a philosophical framework and practical advice for gathering, analyzing, and reporting a particular type of qualitative data. These data are obtained from including an open-text box following the key quantitative question in survey-style studies with the request to ‘Please explain your response’. While many studies currently collect such data, they often either fail to report or analyze it, or they conduct unstructured analyses with limited detail, often mistakenly referring to it as ‘thematic analysis’. Content analysis provides a well-established framework for analyzing such data, and the simplicity of the data form allows for a highly pragmatic and flexible approach. The guide integrates the concept of reflexivity from qualitative research to navigate the large number of researcher degrees of freedom involved in the process, particularly in working with the second coder. It begins by arguing for the value of this data, before outlining the guide’s philosophy, offering advice on maximizing the validity of your data, and addressing the common concern of confabulation. It then provides advice on developing a coding scheme, recruiting and collaborating with a second coder, and writing your report, considering the potential role of large language models at these various stages. Additionally, it provides a checklist for reviewers to evaluate the quality of a given analysis. Throughout the guide, a running example is used to demonstrate the implementation of the provided advice, accompanied by extensive example materials in the online repository, which can be used to practice the method.
This chapter explores the stages involved in qualitative research data analysis and how to conduct it effectively. We begin by defining qualitative data analysis and explaining its purpose, which is to derive meaning from nonnumeric data, often gathered through interviews, observations, or textual sources. We then discuss the coding process, a key element in qualitative data analysis, explaining its role in organizing data into meaningful categories and how it can be conducted. We distinguish between different types of coding, such as open and axial coding. Throughout, we emphasize the importance of rigor and validity in ensuring credible results. We also provide an overview of various methods used in qualitative data analysis, including content analysis, thematic analysis, discourse analysis, and grounded theory, highlighting how these approaches can be applied to identify patterns, themes, and insights from the data. By the end of the chapter, you will have a comprehensive understanding of qualitative data analysis and the skills to apply these methods effectively.
To (1) explore and analyse current online preconception health and nutrition-related claims, (2) assess identified online preconception health claims against current preconception guidelines and (3) understand the perceived health claims among reproductive-aged men and women.
Setting:
Five online media platforms were searched using fertility nutrition-related search terms.
Participants:
All claims were assessed by an expert panel against nine Australian and International preconception guidelines. A sample of eighty reproductive-aged men and women rated a random sample of claims.
Design:
A content analysis of 191 claims was conducted using NVivo 12 Plus to group recurring topics into themes and then categories. Survey participants rated forty claims using a 5-point Likert scale from ‘Not at all likely’ to ‘Highly likely’. If at least 75 % of the surveyed population considered a claim ‘likely’ or ‘unlikely’, it was classified as such.
Results:
Two themes were generated: nutrition claims and lifestyle claims. Five percent of claims were present in preconception guidelines, while 54 % had no evidence to support the claim. The highest percentage of no evidence claims was for whole foods and their components and dietary patterns. TikTok and Instagram contained the highest proportion of non-evidence-based claims. The community considered 3/40 claims likely to be true and 3/40 claims unlikely to be true.
Conclusions:
There is a myriad of inaccurate information online related to fertility nutrition and lifestyle behaviours. Social media public health campaigns to disseminate quality evidence for preconception health are necessary to improve awareness among those who access online information.
Conceptualizations of surge capacity are gaining traction in disaster preparedness and response, particularly in the context of critical and acute care during the pandemic as well as other disaster contexts. In most applications, the surge capacity domains describe the four types of assets required to ensure that surges in demand are addressed. Despite increasing interest and conceptual application, these constructs are yet to be considered or explored in relation to the profound resource scarcity and complex contexts of humanitarian health responses.
Objectives:
The aim of this research is to explore surge capacity domain constructs in the novel context of scarce health resource allocation in humanitarian health care response settings.
Methods:
This research was conducted according to an exploratory qualitative design. Clinicians and managers with relevant experiences were purposively recruited to include broad perspectives across humanitarian responses and clinical specialties. Interview transcripts were analyzed using a latent deductive pattern approach, using a deductive code book consisting of existing surge capacity domains to explore surge capacity constructs. Analysis of coded data for cross-cutting themes drove identification of new findings regarding surge capacity in the context of humanitarian health responses.
Results:
Seventeen participants completed semi-structured interviews. In addition to demonstrating the relevance of existing surge capacity domains (staff, stuff, space, and systems; 4Ss), four new themes emerged: (1) sponsorship; (2) suitability; (3) security; and (4) supply. These four themes informed the conceptualization of surge capacity dimensions which must be satisfied for an asset to render a positive impact with relevance to all four surge capacity domains (4S2 - cumulative 4S domains and the new dimensions).
Conclusions:
Although existing surge capacity domains have proven relevant to humanitarian health care response settings, this research produced a revised conceptualization of surge capacity constructs specific to this context. The identification of four surge capacity dimensions supported the conception and development of the Scarce Health Resource Allocation in Humanitarian Response Settings (SHARE-HRS) 4S2 model of surge capacity, thus offering a potential new tool to support humanitarian health response planning and evaluation.