Neural asymmetry in aligning with generous versus selfish descriptive norms in a charitable donation task

Abstract

Social alignment is supported by the brain’s reward system (ventral striatum), presumably because attaining synchrony generates feelings of connectedness. However, this may hold only for aligning with generous others, while aligning with selfishness might threaten social connectedness. We investigated this postulated asymmetry in an incentivized fMRI charitable donation task. Participants decided how much of their endowment to donate to real charities, and how much to keep for themselves. Compared to a baseline condition, donations significantly increased or decreased in function of the presence of descriptive norms. The fMRI data reveal that processing selfish norms (more than generous ones) recruited the amygdala and anterior insula. Aligning with selfish norms correlated on average with reduced activity in the lateral prefrontal cortex (LPFC) and, at the individual level, with decreasing activity in the ventral striatum (VS). Conversely, as participants aligned more with generous norms, they showed increasing activity in the LPFC and, on average, increased activity in the VS. This increase occurred beyond the increased VS activity which was also observed in the baseline condition. Taken together, this suggests that aligning with generosity, while effortful, provides a “warm glow of herding” associated with collective giving, but that aligning with selfishness does not.

The Livestock Frontier in the Paraguayan Chaco: A Local Agent-based Perspective

Abstract

Deforestation is one of the most relevant transformations characterizing global environmental change in the tropics at present. There is wide consensus in pointing the context-dependent nature of tropical deforestation. In this sense, a better characterization of the phenomenon considering the social context could provide a more accurate picture of tropical deforestation. With this aim, a Q-methodology discourse analysis was conducted to characterise the different discourses that coexist in the particular region of the Paraguayan Chaco concerning the development of cattle ranching and derived deforestation. Four different discourses were identified as making sense the wide range of interests and values coexisting and clashing in the Paraguayan Chaco, namely: the Environmentalist discourse, the Business discourse, the Resigned discourse, and the Possibilist discourse. The results point that the fundamental differences between the discourses are largely explained by the different positions on three specific domains: (i) the socio-economic benefits the expansion of cattle ranching brings about; (ii) the environmental impacts the expansion of cattle ranching and the derived deforestation brings on; and, finally (iii) the degree to which an active intervention from the side of policy making to regulate the expansion of cattle ranching and to minimize possible detrimental effects is seen as necessary. The position of the different discourses in relation to these domains could help policy makers to make measures and regulations more widely accepted and followed.

Population-based cross-sectional study of factors influencing full vaccination status of children aged 12- 23 months in a rural district of the Upper East Region, Ghana

Abstract

Background

Achieving universal health coverage includes ensuring that children have access to vaccines that are of high quality, safe, efficacious, and affordable. The Immunisation Agenda 2030 aims to expand services to zero-dose and incompletely vaccinated children and reduce immunisation rate disparities as a contribution to vaccination equity. This study explored the factors influencing full vaccination status among children aged 12 – 23 months in a rural district of the Upper East Region of Ghana.

Methods

A population-based cross-sectional study was conducted among carers of children aged 12 -23 months in the Kassena Nankana West district. A multistage sampling technique was used to select 360 carers. Information regarding the vaccination status of children was gathered through a combination of children’s health record books and carers’ recollections. Information on potential determinants was also systematically collected for analysis in Stata version 15.0.

Results

The results showed that 76.9% (95% CI: 72.3 – 81.0) of children had full vaccinations per the national schedule. All children received at least one vaccination. A higher percentage of carers with incompletely vaccinated children reported that they had travelled with their children as the primary reason for missing certain vaccine doses. Full vaccination status was significantly associated with secondary (aOR = 2.60; 95% CI: 1.20—5.63) and tertiary (aOR = 3.98, 95% CI: 1.34—11.84) maternal educational level, being in a partnership relationship (aOR = 2.09, 95% CI: 1.03—4.25), and residing in close proximity to healthcare facilities (aOR = 0.41, 95% CI: 0.21—0.80).

Conclusions

Our study found that nearly one-quarter of children aged 12—23 months in the study setting are underserved with vaccination services for a variety of reasons. Effectively reaching these children will require strengthening health systems, including eliminating vaccine shortages, addressing the unique challenges faced by unmarried women with children aged 12–23 months, and improving accessibility to vaccination services.

The social anatomy of climate change denial in the United States

Abstract

Using data from Twitter (now X), this study deploys artificial intelligence (AI) and network analysis to map and profile climate change denialism across the United States. We estimate that 14.8% of Americans do not believe in climate change. This denialism is highest in the central and southern U.S. However, it also persists in clusters within states (e.g., California) where belief in climate change is high. Political affiliation has the strongest correlation, followed by level of education, COVID-19 vaccination rates, carbon intensity of the regional economy, and income. The analysis reveals how a coordinated social media network uses periodic events, such as cold weather and climate conferences, to sow disbelief about climate change and science, in general. Donald Trump was the strongest influencer in this network, followed by conservative media outlets and right-wing activists. As a form of knowledge vulnerability, climate denialism renders communities unprepared to take steps to increase resilience. As with other forms of misinformation, social media companies (e.g., X, Facebook, YouTube, TikTok) should flag accounts that spread falsehoods about climate change and collaborate on targeted educational campaigns.

Evaluating Twitter’s algorithmic amplification of low-credibility content: an observational study

Abstract

Artificial intelligence (AI)-powered recommender systems play a crucial role in determining the content that users are exposed to on social media platforms. However, the behavioural patterns of these systems are often opaque, complicating the evaluation of their impact on the dissemination and consumption of disinformation and misinformation. To begin addressing this evidence gap, this study presents a measurement approach that uses observed digital traces to infer the status of algorithmic amplification of low-credibility content on Twitter over a 14-day period in January 2023. Using an original dataset of ≈ 2.7 million posts on COVID-19 and climate change published on the platform, this study identifies tweets sharing information from low-credibility domains, and uses a bootstrapping model with two stratifications, a tweet’s engagement level and a user’s followers level, to compare any differences in impressions generated between low-credibility and high-credibility samples. Additional stratification variables of toxicity, political bias, and verified status are also examined. This analysis provides valuable observational evidence on whether the Twitter algorithm favours the visibility of low-credibility content, with results indicating that, on aggregate, tweets containing low-credibility URL domains perform better than tweets that do not across both datasets. However, this effect is largely attributable to a difference in high-engagement, high-followers tweets, which are very impactful in terms of impressions generation, and are more likely receive amplified visibility when containing low-credibility content. Furthermore, high toxicity tweets and those with right-leaning bias see heightened amplification, as do low-credibility tweets from verified accounts. Ultimately, this suggests that Twitter’s recommender system may have facilitated the diffusion of false content by amplifying the visibility of low-credibility content with high-engagement generated by very influential users.

Expressions of pandemic fatigue on digital platforms: a thematic analysis of sentiment and narratives for infodemic insights

Abstract

Background

The infodemic accompanying the COVID-19 pandemic has led to an overwhelming amount of information, including questions, concerns and misinformation. Pandemic fatigue has been identified as a concern from early in the pandemic. With new and ongoing health emergencies in 2022, it is important to understand how pandemic fatigue is being discussed and expressed by users on digital channels. This study aims to explore and report on key narrative themes associated with expressions of pandemic fatigue by users on digital platforms.

Methods

This paper describes the collection of publicly available data over a 3-month period from multiple online sources using the Meltwater and CrowdTangle platforms to source data from Twitter, Facebook, Instagram, YouTube, TikTok, Pinterest, Product Reviews, Twitch, blogs & forums. A comprehensive search strategy was developed and tested. A total of 1,484,042 social media posts were identified during the time-period that included the defined search terms for pandemic fatigue. These data were initially sorted by highest levels of engagement and from this dataset, analysts reviewed the identified posts to isolate and remove irrelevant content and identify dominant narratives. A thematic analysis was carried out on these narratives to identify themes related to expression of pandemic fatigue. Two researchers reviewed the data and themes.

Results

The thematic analysis of narratives identified six main themes relating to expression of pandemic fatigue, and one theme of counter narratives against pandemic fatigue. Data volume increased concurrent with the time of the mpox emergency announcement. Emergent themes showed the different ways users expressed pandemic fatigue and how it was interlaced with issues of trust, preventative measure acceptance and uptake, misinformation, and being overwhelmed with multiple or sustained emergencies.

Conclusions

This paper has identified the different ways users express pandemic fatigue on digital channels over a 3-month period. Better understanding the implications of the information environment on user’s perceptions, questions, and concerns regarding pandemic and more broadly emergency fatigue is vital in identifying relevant interventions and, in the longer term, strengthening the global architecture for health emergency preparedness, prevention, readiness and resilience, as evidenced in this paper. There are clear pathways for further research, including incorporating additional languages and reviewing these themes over longer time periods.

Reporting and practices of sustainability in controlled environment agriculture: a scoping review

Abstract

When compared to traditional field production, controlled environment agriculture (CEA) such as greenhouses and indoor vertical farms (VF) have sustainability benefits such as reduced land use, less product transportation to consumers, improved resource and land-use efficiencies, food safety, and local food availability. Despite its potential as an environmentally beneficial complement to conventional farming, CEA has numerous issues that limits its adoption and viability as a sustainable option. This review summarizes the literature on key areas of sustainability in CEA, such as (1) sustainability challenges, (2) technologies identified to address sustainability in CEA, (3) quantification and reporting of sustainability in CEA, and (4) gaps and opportunities in addressing CEA sustainability. To filter the available literature from the databases including Web of Science, this scoping review employed a combination of the keywords “sustainability,” “controlled environment agriculture,” “urban farm,” “vertical farm,” and “indoor farm.” According to the review, main obstacles in CEA were high electricity use, geographical location-related tradeoffs, and an unfavorable public perception of CEA in comparison to field production. These issues are now being addressed by optimized lighting and sensor technology, models, decision support tools to reduce electricity use, and marketing tactics to educate people about the benefits of CEA. This scoping review offers two critical areas to focus sustainability improvement efforts: lowering electrical demand and using circular techniques for organic waste and wastewater reuse in CEA to increase water, nutrient, and energy use efficiency and recovery. In addition, it discusses the techniques and approaches to sustainability assessment in CEA, particularly within the research and application contexts. This scoping review, thus, outlines strategies for enhancing sustainability in CEA, highlighting the importance of integrating circular economy principles and advanced technologies to optimize resource use, and advocates for ongoing research and education to shift public perceptions toward the sustainable potential of CEA.

Graphical abstract

A democratic curriculum for the challenges of post-truth

Abstract

Post-truth has been widely applied in the wake of COVID-19, to stipulate causes for growing economic and political inequalities, misinformation in digital spaces and disillusionment with political institutions and notions of common/public good, to name a few. To address these concerns, this article constitutes a series of suggestions for how educators might engage with curricula that are embedded with democratic ideals. The first section will provide a brief survey of how various incarnations of the national curricula in Australia have been used as a vehicle for both envisaging a future in Australia and promoting civic participation as a way of fostering an inclusive society. The forms it developed into during the 1980s to the 2010s, however, usually promoted national priorities over localised concerns, such as the aims of individual teachers, schools and curricula. Over the long term, these tendencies have provided the foundation for a shift in educational discourse from generating social capital under the Whitlam government (Lingard, 2000). More recent discourse by contrast has focused on how digital resources can be effectively used, accountability, minimising teacher demoralisation and burnout, maximising student engagement (Dunning, 2022) and tinged with concerns about how constructive critical thinking can be better encouraged (Paterson & Gavrin, 2022). In this article, the structures which catalysed such changes will be contextualised in relation to how post-truth has emerged as a byword for a range of disruptive factors, such as denial of knowledge expertise (Malpas, 1992; Coper, 2022), and how authorities (in governments and media) have pragmatically lied to subordinates (Tesich, 1992; Keyes, 2004; Consentino, 2020). The second part examines how these same conditions have been recently perpetuated through schools being characterised as key to economic recovery, rather than places to regenerate relationships such as those between community-school or curriculum-teacher-student in response to the disruption which has emerged during the COVID-19 pandemic. Lastly, there is a focus on what is being—and could be—done to encourage democratic thinking in an Australian classroom context, as ways of addressing phenomena linked with post-truth by generating cultural and political capital.

Australia’s university Generation Z and its concerns about climate change

Abstract

Despite scientific evidence about the imminent threat of climate change, people and governments around the world are slow in taking sufficient action. Against these bleak outlooks, Generation Z (Gen Z) born 1995–2010 will inherit the consequences of prolonged inaction. This research delves into the climate change concerns of Australia’s university Gen Z. A representative survey of 446 Australian university students conducted between September 2021 and April 2022 revealed that climate change is the top environmental concern for Gen Z with 81% of these young people being significantly concerned and many experiencing serious climate anxiety. Despite this pervasive concern, 65% of Australia’s university Gen Z is not engaged in traditional climate activism; however, these young people are using technology to voice their concerns. As the future decision-makers of the world, it is crucial for Gen Z to accelerate climate action in all of its forms, including engaging with scientific knowledge and other generations to shape policies and safeguard a liveable planet for all.