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Autonomous driving of higher automation levels asks for optimal execution of critical maneuvers in all environments. A crucial prerequisite for such optimal decision-making instances is accurate situation awareness of automated and connected vehicles. For this, vehicles rely on the sensory data captured from onboard sensors and information collected through V2X communication. The classical onboard sensors exhibit different capabilities and hence a heterogeneous set of sensors is required to create better situation awareness. Fusion of the sensory data from such a set of heterogeneous sensors poses critical challenges when it comes to creating an accurate environment context for effective decision-making in AVs. Hence this exclusive survey analyses the influence of mandatory factors like data pre-processing preferably data fusion along with situation awareness toward effective decision-making in the AVs. A wide range of recent and related articles are analyzed from various perceptive, to pick the major hiccups, which can be further addressed to focus on the goals of higher automation levels. A section of the solution sketch is provided that directs the readers to the potential research directions for achieving accurate contextual awareness. To the best of our knowledge, this survey is uniquely positioned for its scope, taxonomy, and future directions.

While emerging right‐wing populist voices are calling to prevent the arrival of refugees and their integration, volunteers perform solidarity by performing activities to support refugee integration. Most studies on these forms of solidarity in diversity focus on the quality and effectiveness of the activities. The emotional labor involved has received limited attention. To consider this emotional labor in more detail, we use Arlie Hochschild’s concept of feeling and framing rules and relate these rules to prevailing citizenship regimes, distinguishing between the self‐reliance regime and the community regime. Based on in‐depth ethnographic research of volunteer solidarity work in a deprived urban neighborhood and a middle‐class commuter town in the Netherlands, we show that volunteers are strongly aligned with the community regime, which involves navigating a multitude of feeling rules they struggle with. Refugees are more aligned with the self‐reliance regime, which also gives way to emotional struggles. We argue that to promote solidarity in diversity, scholars and policymakers should pay more attention to these different forms of emotional labor and the painful and joyful emotions involved.

Little is known regarding the ways in which practitioners’ views and approaches impact support for persons with a migration background (PwM) caring for individuals with dementia. This paper responds to this knowledge gap by identifying how practitioners frame dementia care in families with a migration background, and how these frames can be understood in light of the experiences of PwM caring for a family member with dementia. A total of 41 participants were included: ten practitioners ( i.e. health and social care workers) and 31 PwM caring for a family member with dementia. All participants were part of a qualitative research project on dementia care in Dutch families with a migration background. Practitioners’ expressed frames were identified through Hochschild’s interpretive framework of ‘framing and feeling rules’. Thereafter, practitioners’ identified frames were related to the care experiences of PwM caring for a family member with dementia. Findings indicate that practitioners operate within an approach that does not sufficiently take into account the uniqueness of each family carer. This leads to frictions within the practitioner–client relationship. We thus highlight the need for discussions about the tenability of practitioners’ views and approaches in an increasingly globalised and diverse society.

Abstract As artificial intelligence (AI) policy has begun to take shape in recent years, policy actors have worked to influence policymakers by strategically promoting issue frames that define the problems and solutions policymakers should attend to. Three such issue frames are especially prominent, surrounding AI’s economic, geopolitical, and ethical dimensions. Relatedly, while technology policy is traditionally expert-dominated, new governance paradigms are encouraging increased public participation along with heightened attention to social and ethical dimensions of technology. This study aims to provide insight into whether members of the public and the issue frames they employ shape—or fail to shape—policymaker agendas, particularly for highly contested and technical policy domains. To assess this question, the study draws on a dataset of approximately five million Twitter messages from members of the public related to AI, as well as corresponding AI messages from the 115th and 116th US Congresses. After using text analysis techniques to identify the prevalence of issue frames, the study applies autoregressive integrated moving average and vector autoregression modeling to determine whether issue frames used by the public appear to influence the subsequent messaging used by federal US policymakers. Results indicate that the public does lead policymaker attention to AI generally. However, the public does not have a special role in shaping attention to ethical implications of AI, as public influence occurs only when the public discusses AI’s economic dimensions. Overall, the results suggest that calls for public engagement in AI policy may be underrealized and potentially circumscribed by strategic considerations.

Marketers often claim to be part of an exclusive tier (e.g., “top 10”) within their competitive set. Although recent behavioral research has investigated how consumers respond to rank claims, prior work has focused exclusively on claims having a numerical format. But marketers often communicate rankings using percentages (e.g., “top 20%”). The present research explores how using a numerical format claim (e.g., “top 10” out of 50 products) versus an equivalent percentage format claim (e.g., “top 20%” out of 50 products) influences consumer judgments. Across five experiments, the authors find robust evidence of a shift in evaluations whereby consumers respond more favorably to numerical rank claims when set sizes are smaller (i.e., <100) but more favorably to percentage rank claims when set sizes are larger (i.e., >100), even when the claims are mathematically equivalent. They further show that this change in evaluations occurs because consumers commit format neglect when making their evaluations by relying predominantly on the nominal value conveyed in a rank claim and insufficiently accounting for set size.

Among the many stories that emerged out of India during the pandemic, one was somewhat buried under the media discourse around the migrant crisis, lockdown regulations, and economic fallout. This was the story of striking accredited social health activist workers asking for fair wages, improved benefits, and better working conditions. The Covid-19 crisis highlighted the poor health infrastructure and the precarious, and often, stigmatized nature of frontline work, managed at the community level by paramedical workers, a significant proportion of whom are women. There has been considerable attention paid by feminist groups as well as health-related civil society organizations on the gender-based inequities that have emerged during the pandemic, particularly in relation to care work. This study explores how care work performed by the accredited social health activists was framed in the mainstream media, through an examination of articles in three selected English daily newspapers over one year of the pandemic. Drawing on theoretical work deriving from similar health crises in other regions of the world, we explore how the public health infrastructure depends on the invisible care-giving labor of women in official and unofficial capacities to respond to the situation. The systemic reliance on women’s unpaid or ill-paid labor at the grassroots level is belied by the fact that women’s concerns and contributions are rarely visible in issues of policy and public administration. Our study found that this invisibility extended to media coverage as well. Our analysis offers a “political economy of caregiving” that reiterates the need for women’s work to be recognized at all levels of functioning.

Introduction Public health and alcohol industry actors compete to frame alcohol policy problems and solutions. Little is known about how sudden shifts in the political context provide moments for policy actors to re-frame alcohol-related issues. South Africa’s temporary bans on alcohol sales during the COVID-19 pandemic offered an opportunity to study this phenomenon. Methods We identified Professor Charles Parry from the South African Medical Research Council as a key policy actor. Parry uses a Twitter account primarily to comment on alcohol-related issues in South Africa. We harvested his tweets posted from March 18 to August 31, 2020, coinciding with the first two alcohol sales bans. We conducted a thematic analysis of the tweets to understand how Parry framed alcohol policy evidence and issues during these ‘extraordinary times.’ Results Parry underlined the extent of alcohol-related harm during ‘normal times’ with scientific evidence and contested industry actors’ efforts to re-frame relevant evidence in a coherent and well-constructed argument. Parry used the temporary sales restrictions to highlight the magnitude of the health and social harms resulting from alcohol consumption, particularly trauma, rather than the COVID-19 transmission risks. Parry portrayed the sales ban as a policy learning opportunity (or ‘experiment’) for South Africa and beyond. Conclusions Crisis conditions can provide new openings for public health (and industry) actors to make salient particular features of alcohol and alcohol policy evidence.

The global implementation of structural policies to tackle obesity has been slow, likely because of the competing interests of governments and the food industry. We used the discussion of the Chilean Food Labeling Law to identify influential stakeholders in the media and their frames during different periods of the law’s implementation. This involved a content analysis of the food regulation media coverage in five key periods from 2007, when the food bill was first introduced in Congress, to 2018, when the second phase of the law was implemented (N = 1295). We found that most of the law coverage was through elite press. Half of the sources were from the food industry (26.7%) and government (26.2%), while other stakeholders, were less prevalent. Frames were mostly competing, except for cooperation with the law. The main food industry frame used during the discussion of the law was the “economic threat” (41.9%), whose prevalence decreased at the post-implementation period (13%, p < 0.01). No other relevant stakeholders changed their framing. Our results highlight that there are several aspects of public health communication, such as the type of media used, the involvement of scholars and civil society, and the framing, that could be improved to advance food environment policies.

Background Media representations play a crucial role in informing public and policy opinions about the causes of, and solutions to, ill-health. This paper reviews studies analysing media coverage of non-communicable disease (NCD) debates, focusing on how the industries marketing commodities that increase NCD risk are represented. Methods A scoping review identified 61 studies providing information on media representations of NCD risks, NCD policies and tobacco, alcohol, processed food and soft drinks industries. The data were narratively synthesized to describe the sample, media depictions of industries, and corporate and public health attempts to frame the media debates. Results The findings indicate that: (i) the limited research that has been undertaken is dominated by a focus on tobacco; (ii) comparative research across industries/risk-factors is particularly lacking; and (iii) coverage tends to be dominated by two contrasting frames and focuses either on individual responsibilities (‘market justice’ frames, often promoted by commercial stakeholders) or on the need for population-level interventions (‘social justice’ frames, frequently advanced by public health advocates). Conclusions Establishing the underlying frameworks is crucial for the analysis of media representation of corporations, as they reflect the strategies that respective actors use to influence public health debates and decision making. The potential utility of media research lies in the insights that it can provide for public health policy advocates about successful framing of public health messages and strategies to counter frames that undermine public health goals. A better understanding of current media debates is of paramount importance to improving global health.

Childcare policies have special significance in the Republic of Korea, due to population aging and low birthrates. This study identified policy differences between governments with different ideologies and derived relevant policy implications. We analyzed the childcare policy framings of the conservative Park Geun-Hye administration and the progressive Moon Jae-In administration through validated media articles. We confirmed that the policies of both administrations are not different from each other: both employ negative problem-diagnostic framing. The media regard their policies as similar: both have strong state-led characteristics. Some differences exist: conservative media criticize childcare funding and progressive media support its principles. The progressive administration employed temporal framing and emphasized benefits to recipients, while the conservative administration did not employ temporal framing and emphasized political intentions. Further, the progressive administration had denser connections with policy performers and emphasized the private sector's active involvement. The paper concludes with recommendations for more effective policy processes.