Tag: Climate Change Disinformation

Abstract

The COVID-19 pandemic of 2021 led to a worldwide health crisis that was accompanied by an infodemic. A group of 12 social media personalities, dubbed the “Disinformation Dozen”, were identified as key in spreading disinformation regarding the COVID-19 virus, treatments, and vaccines. This study focuses on the spread of disinformation propagated by this group on Telegram, a mobile messaging and social media platform. After segregating users into three groups—the Disinformation Dozen, bots, and humans, we perform an investigation with a dataset of Telegram messages from January to June 2023, comparatively analyzing temporal, topical, and network features. We observe that the Disinformation Dozen are highly involved in the initial dissemination of disinformation but are not the main drivers of the propagation of disinformation. Bot users are extremely active in conversation threads, while human users are active propagators of information, disseminating posts between Telegram channels through the forwarding mechanism.

Abstract

Modern urban and rural planning has a long history in terms of epidemics. However, contemporary urban and rural planning lacks a comprehensive response map for the prevention and control of infectious diseases. As the process of comprehensive policies making for social issues, a bridge between urban and rural development and the prevention and control of infectious diseases must be established. This research sorts out the academic literature that studies the relationship and logic between epidemic infectious diseases and urban and rural physical environments. This research constructed links between issues of urban and rural planning and the means of prevention and control of epidemic infectious diseases, and drew them to form a comprehensive map which illustrates the logic paths between 12 issues of urban and rural planning and intricate factors of epidemic infectious diseases. The atlas provided in this study shows that planners could have a simplified, without missing key points, way to make, examine, and evaluate planning strategies from limited perspectives such as pathogen exposure opportunities, pathogen resistance, hosts, travel, and trade, when addressing pandemic issues.

Abstract

In this forum paper, I grapple with critical questions about our understanding of science as a discipline and the education standards formulated within that framing. My exploration is contextualized in our current socio-political climate and is presented in discourse with Charity Winburn’s Meeting the needs of the individual student in the post-pandemic era: an analysis of the next generation science standards. I draw on Winburn’s astute observations about the narratives and epistemologies that shape our current science standards as a springboard for diving deeper into questions about the ways of knowing and types of knowledge traditions that are uplifted in US science education. Through a dialogic process, I outline a critical analysis of the myth of neutrality, the prioritization of epistemologies, and the standardization of learning ingrained in traditional science curricula. I conclude by building on Winburn’s hopes for science education with my own aspirations for bringing joy into our collective science learning experiences.

Abstract

Background

Promoting the uptake of vaccination for infectious diseases such as COVID-19 remains a global challenge, necessitating collaborative efforts between public health units (PHUs) and communities. Applied behavioural science can play a crucial role in supporting PHUs’ response by providing insights into human behaviour and informing tailored strategies to enhance vaccination uptake. Community engagement can help broaden the reach of behavioural science research by involving a more diverse range of populations and ensuring that strategies better represent the needs of specific communities. We developed and applied an approach to conducting community-based behavioural science research with ethnically and socioeconomically diverse populations to guide PHUs in tailoring their strategies to promote COVID-19 vaccination. This paper presents the community engagement methodology and the lessons learned in applying the methodology.

Methods

The community engagement methodology was developed based on integrated knowledge translation (iKT) and community-based participatory research (CBPR) principles. The study involved collaboration with PHUs and local communities in Ontario, Canada to identify priority groups for COVID-19 vaccination, understand factors influencing vaccine uptake and co-design strategies tailored to each community to promote vaccination. Community engagement was conducted across three large urban regions with individuals from Eastern European communities, African, Black, and Caribbean communities and low socioeconomic neighbourhoods.

Results

We developed and applied a seven-step methodology for conducting community-based behavioural science research: (1) aligning goals with system-level partners; (2) engaging with PHUs to understand priorities; (3) understanding community strengths and dynamics; (4) building relationships with each community; (5) establishing partnerships (community advisory groups); (6) involving community members in the research process; and (7) feeding back and interpreting research findings. Research partnerships were successfully established with members of prioritized communities, enabling recruitment of participants for theory-informed behavioural science interviews, interpretation of findings, and co-design of targeted recommendations for each PHU to improve COVID-19 vaccination uptake. Lessons learned include the importance of cultural sensitivity and awareness of sociopolitical context in tailoring community engagement, being agile to address the diverse and evolving priorities of PHUs, and building trust to achieve effective community engagement.

Conclusion

Effective community engagement in behavioural science research can lead to more inclusive and representative research. The community engagement approach developed and applied in this study acknowledges the diversity of communities, recognizes the central role of PHUs, and can help in addressing complex public health challenges.

Abstract

In the classical information theoretic framework, information “value” is proportional to how novel/surprising the information is. Recent work building on such notions claimed that false news spreads faster than truth online because false news is more novel and therefore surprising. However, another determinant of surprise, semantic meaning (e.g., information’s consistency or inconsistency with prior beliefs), should also influence value and sharing. Examining sharing behavior on Twitter, we observed separate relations of novelty and belief consistency with sharing. Though surprise could not be assessed in those studies, belief consistency should relate to less surprise, suggesting the relevance of semantic meaning beyond novelty. In two controlled experiments, belief-consistent (vs. belief-inconsistent) information was shared more despite consistent information being the least surprising. Manipulated novelty did not predict sharing or surprise. Thus, classical information theoretic predictions regarding perceived value and sharing would benefit from considering semantic meaning in contexts where people hold pre-existing beliefs.

Abstract

Biostatistics is foundational to public health research and Canada has a history of high impact contributions both in seminal methodological advances and in the rigorous application of methods for the design or analysis of public health studies. In this article, we provide a brief and personal review of selected contributions from Canadian biostatisticians to fields such as survival and life history analysis, sampling, clinical trial methodology, environmental risk assessment, infectious disease epidemiology, and early work on prediction. We also provide a brief look forward at the upcoming needs and future directions of biostatistical research.

Abstract

In the residential housing sector, energy conservation issues may arise in the relationship between landlords and renters (a.k.a. tenants) due to principal-agent and information problems. An example is the split incentive, where one party makes the energy efficiency decisions while the other pays the energy bill. Herein, we investigate whether the landlord and renter split incentive problem may be more likely and more challenging for college student renters than those who are not college students. This may occur from landlords perceiving that college renters lack sufficient demand for energy efficient improvements.

There is a lack of studies regarding the possibility that college renters may face greater exposure to the split incentive problem. We surveyed landlords to better understand their prior energy efficiency investment decisions and used a contingent valuation question to further investigate their choices for a hypothetical return on investment scenario. The landlords had various mixes of college students and non-students in their properties. Landlords renting one single-family property exclusively to college students had, on average, completed fewer major upgrades to their rental properties and were less likely to invest in a hypothetical insulation upgrade.

Abstract

In this article, we introduce the reader to a social systems-theoretical concept of science, with particular emphasis on the role of theorising within a functionally differentiated society. Six cases are presented that demonstrate how social systems theory serves as both theory and method, thereby offering an insightful super-theoretical framework relevant to both conceptual and empirical studies. We conclude that social systems theory facilitates the pursuit of science for science’s sake by effectively challenging persistent self-confusions of society with politics or any other subsystem of society. As a result, the artificial distinction between science for the sake of science and science for the sake of society is overcome, and science for sake of society simply represents a return of science to its own function.