Given the overrepresentation of older Israelis in political protests and the growing number of political protests worldwide, the present study aimed to examine older persons' perspective on their involvement in the protests and how they view age and older age in the context of political protests. In total, 30 protesters over the age of 65 were interviewed, while employing a maximum variations methodology for the selection of the sample. Interviews were analyzed thematically. Older persons were described in the interviews, as leaders, the ones who started the protests because they were raised on the right values. Moreover, older persons viewed themselves as having the time and at times, the money to immerse themselves in the protests. Despite the perceived advantages that older protesters have to offer, the protests were seen as ineffective, incomplete, or simply lacking without the involvement of younger persons, who were seen as bringing with them the energy and stamina, but also the added symbolic value which have made the protests meaningful, important, and relevant. The findings are interpreted from the perspective of intergenerational solidarity and ambivalence. It is suggested that intergenerational solidarity and collaboration can foster older persons' participation in political activism.
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http://dx.doi.org/10.1016/j.jaging.2024.101264 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Doctor of Physiotherapy, Riphah International University, Islamabad, Pakistan.
Background: Voice barriers among frontline healthcare workers hinder safety related to work and patients. Understanding these barriers and practices is crucial to improve voice behavior in healthcare settings. Therefore, this study aims to identify the voice barriers and practices among healthcare workers in Pakistan.
View Article and Find Full Text PDFPLoS One
January 2025
JKU University of Linz, Linz, Austria.
The unprecedented consequences of the Covid-19 pandemic have raised concerns about the erosion of social cohesion and intensified social unrest, but evidence for such a link and the underlying channels is still lacking. We use a unique combination of nationally representative survey data, event data on social unrest, and data on Covid-19 fatalities and unemployment at a weekly resolution to investigate the forces behind social cohesion and unrest in the context of the strains on public health and the economy due to the pandemic in the USA. The results show that pandemic-related unemployment and Covid-19 fatalities intensified negative emotional stress and led to a deterioration of economic confidence among individuals.
View Article and Find Full Text PDFNat Hum Behav
December 2024
CESifo, Munich, Germany.
We study the relationship between the Fridays for Future climate protest movement in Germany and citizen political behaviour. In 2019, crowds of young protesters, mostly under voting age, demanded immediate climate action. Exploiting cell-phone-based mobility data and hand-collected information on nearly 4,000 climate protests, we created a highly disaggregated measure of protest participation.
View Article and Find Full Text PDFCogn Affect Behav Neurosci
December 2024
Department of Psychology, University of Chicago, Chicago, IL, 60637, USA.
The extent to which a belief is rooted in one's sense of morality has significant societal implications. While moral conviction can inspire positive collective action, it can also prompt dogmatism, intolerance, and societal divisions. Research in social psychology has documented the functional characteristics of moral conviction and shows that poor metacognition exacerbates its negative outcomes.
View Article and Find Full Text PDFThis study explores the influence of social media content on societal attitudes and actions during critical events, with a special focus on occurrences in Chile, such as the COVID-19 pandemic, the 2019 protests, and the wildfires in 2017 and 2023. By leveraging a novel tweet dataset, this study introduces new metrics for assessing sentiment, inclusivity, engagement, and impact, thereby providing a comprehensive framework for analyzing social media dynamics. The methodology employed enhances sentiment classification through the use of a Deep Random Vector Functional Link (D-RVFL) neural network, which demonstrates superior performance over traditional models such as Support Vector Machines (SVM), naive Bayes, and back propagation (BP) neural networks, achieving an overall average accuracy of 78.
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