Month: September 2024

Investigating the role of source and source trust in prebunks and debunks of misinformation in online experiments across four EU countries

Latest Results

Abstract

Misinformation surrounding crises poses a significant challenge for public institutions. Understanding the relative effectiveness of different types of interventions to counter misinformation, and which segments of the population are most and least receptive to them, is crucial. We conducted a preregistered online experiment involving 5228 participants from Germany, Greece, Ireland, and Poland. Participants were exposed to misinformation on climate change or COVID-19. In addition, they were pre-emptively exposed to a prebunk, warning them of commonly used misleading strategies, before encountering the misinformation, or were exposed to a debunking intervention afterwards. The source of the intervention (i.e. the European Commission) was either revealed or not. The findings show that both interventions change four variables reflecting vulnerability to misinformation in the expected direction in almost all cases, with debunks being slightly more effective than prebunks. Revealing the source of the interventions did not significantly impact their overall effectiveness. One case of undesirable effect heterogeneity was observed: debunks with revealed sources were less effective in decreasing the credibility of misinformation for people with low levels of trust in the European Union (as elicited in a post-experimental questionnaire). While our results mostly suggest that the European Commission, and possibly other public institutions, can confidently debunk and prebunk misinformation regardless of the trust level of the recipients, further evidence on this is needed.

Online Prosumers and Penal Policy Formation in an Age of Digital Polarization and Populism: An Exploratory Study

Latest Results

Abstract

This article explores the influence of right-wing social media users on penal policy formation processes. Through a passive digital ethnography approach, the study examines online debates preceding and following recent legislative interventions adopted in Italy by the new right-wing government in power since late 2022, namely the criminalization of unauthorized rave parties and the punitive approach to migration management. The article discusses the role of social media users as prosumers, who both consume and produce content, and shows how social media platforms amplify political polarization by promoting selective exposure to like-minded viewpoints and facilitating the spread of divisive content. It also showcases how prosumers contribute to the propagation of punitive narratives and engage in direct interactions with populist leaders through social media platforms. Conversely, political leaders—specifically Italy’s Prime Minister Giorgia Meloni in this case study—use these platforms to disseminate their narratives and create support for their penal policies, employing fear-mongering tactics and simplistic messaging. Our findings suggest that, while social media platforms have transformed political discourse, in the Italian scenario their direct influence on penal policy making from the ground-up remains limited. Instead, traditional top-down channels continue to dominate the process of penal policy formation.

Knowledge, attitude and practice levels regarding malaria among the Semai sub-ethnic indigenous Orang Asli communities in Pahang, Peninsular Malaysia: a stepping stone towards the prevention of human malaria re-establishment

Latest Results

Abstract

Background

In Malaysia, despite a decline in cases, malaria remains a major public health concern, especially among the vulnerable indigenous people (i.e. Orang Asli) in remote areas. Effective preventive and control measures require an evidence-based understanding of their knowledge, attitudes, and practices (KAP) regarding malaria. This study aimed to evaluate the KAP regarding malaria in an indigenous settlement in Peninsular Malaysia.

Methods

A household-based cross-sectional study was conducted in March 2024 in six Semai sub-ethnic indigenous villages in Pos Lenjang, Kuala Lipis, Pahang. A structured questionnaire was administered to randomly selected individuals (≥ 12 years old) to collect data on sociodemographic characteristics and KAP. Data were analysed using descriptive statistics and predictors of KAP were determined using logistic regression. A p-value less than 0.05 was considered statistically significant.

Results

A total of 267 individuals from 160 households were interviewed. Nearly half had good knowledge (49.4%) and positive attitudes (54.3%) towards malaria, with high practice scores for prevention and control (83.1%). Multivariate logistic regression analysis showed higher odds of good knowledge in those aged 40–59 years (adjusted odd ratio [aOR] = 6.90, p = 0.034), with primary (aOR = 2.67, p = 0.015) or secondary education (aOR = 2.75, p = 0.019), and with previous malaria history (aOR = 5.14, p < 0.001). Higher odds of a good attitude were found in those with secondary education (aOR = 4.05, p < 0.001) and previous malaria history (aOR = 2.74, p = 0.017). Lower odds were observed for the unemployed (aOR = 0.25, p = 0.018) and those collecting forest products (aOR = 0.25, p = 0.049) for attitude and practice, respectively.

Discussion

The overall practice level on malaria prevention was high among the Semai Orang Asli in Pahang. However, to ensure sustainability, the low levels of knowledge and attitude regarding malaria must be strengthened through increased health education and continuous community engagement.

Multivariate bias correction and downscaling of climate models with trend-preserving deep learning

Latest Results

Abstract

Global climate models (GCMs) and Earth system models (ESMs) exhibit biases, with resolutions too coarse to capture local variability for fine-scale, reliable drought and climate impact assessment. However, conventional bias correction approaches may cause implausible climate change signals due to unrealistic representations of spatial and intervariable dependences. While purely data-driven deep learning has achieved significant progress in improving climate and earth system simulations and predictions, they cannot reliably learn the circumstances (e.g., extremes) that are largely unseen in historical climate but likely becoming more frequent in the future climate (i.e., climate non-stationarity). This study shows an integrated trend-preserving deep learning approach that can address the spatial and intervariable dependences and climate non-stationarity issues for downscaling and bias correcting GCMs/ESMs. Here we combine the super-resolution deep residual network (SRDRN) with the trend-preserving quantile delta mapping (QDM) to downscale and bias correct six primary climate variables at once (including daily precipitation, maximum temperature, minimum temperature, relative humidity, solar radiation, and wind speed) from five state-of-the-art GCMs/ESMs in the Coupled Model Intercomparison Project Phase 6 (CMIP6). We found that the SRDRN-QDM approach greatly reduced GCMs/ESMs biases in spatial and intervariable dependences while significantly better-reducing biases in extremes compared to deep learning. The estimated drought based on the six bias-corrected and downscaled variables captured the observed drought intensity and frequency, which outperformed state-of-the-art multivariate bias correction approaches, demonstrating its capability for correcting GCMs/ESMs biases in spatial and multivariable dependences and extremes.

Provenance through storytelling: application of Indigenous relationality toward arrangement and description

Latest Results

Abstract

Every culture creates and keeps records. Archivists have a pivotal responsibility toward the relationality of the historical past to present societal structure to preserve records of evidential and historical value and ensure their accessibility. Despite cultural differences, archivists impose colonial theory onto Indigenous archival materials that result in a lack of context. Because provenance is a colonial construct, it is often challenged when applied to cultural materials. In this article, the principle of provenance is discussed and challenged, against the backdrop of Indigenous archival practice that centers relationality and reciprocity in stewardship. Highlighting the example of the Jean Chaudhuri Collection at the Arizona State University Labriola National American Data Center, archivists employed a storytelling provenance providing rich context and description about the impactful life of Indigenous activist, Jean Chaudhuri. By reimagining and employing a practical, alternative provenance method, the principle of provenance, expands to respectfully support and provide context that was lacking, resulting in improved accessibility to a collection.

Seeing the unseen: abjection, social death, and neoliberal implication in Héctor Tobar’s The Tattooed Soldier

Latest Results

Abstract

This article analyzes Héctor Tobar’s The Tattooed Soldier as a hemispheric critique of racialization and social dispossession bridging the gap between Central America and the United States. Examining the homeless and the refugee subjects in the novel as structurally equivalent, the article explores the ramifications of internal and external displacements in relation to the protections of citizenship and political asylum. It explores how neoliberal ideologies and practices allow for the creation and naturalization of urban spaces of abjection, effectively condoning the social death of subjects not deemed worthy of respect or social value. In doing so, the article demonstrates how social and spatial dispossession is subsumed into everyday life, becoming naturalized and invisible. It demonstrates how social and political disenfranchisement are constructed discursively and spatially, considering the novel’s stories of immigration and asylum-seeking not only as Latina/o/x stories but also as intrinsic parts of the stories that constitute the United States.

Holistic eco-social imaginaries for a life-centered future

Latest Results

Abstract

This paper argues that for humanity to deal with the intersecting, existential threats of polycrisis, broad-based narrative changes are needed to make practical and relevant eco-social (or social ecological) imaginaries and related contracts. An imaginary is how people conceive or think about the world around them and their relationship to it. Social contracts are explicit and implicit agreements about how humans structure their social institutions, including rights and obligations, privileges, benefits, and restrictions. Current imaginaries (and related contracts) are almost solely human-centric, while the shift argued for here is towards eco-social imaginaries, in which both humans and nature are granted rights to flourish. Such new imaginaries have the potential to shift ideas about humans as actors in the world towards life-centric eco-social understandings in which human beings are seen as part of and interdependent with nature, and develop economies and societies oriented towards wellbeing for both humans and nature. While historically social imaginaries and their related social contracts have been human-centric, more ecologically centric imaginaries have been emerging for several decades, and in the early 2020s, as this paper documents, have now begun to become explicit. This paper identifies seven recent efforts to define and make explicit the broad parameters of such eco-social imaginaries that might be widely deployed to begin the difficult and long-term process of systemic change needed to achieve flourishing for humans and nature.