Tag: Climate Change Disinformation

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.

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.

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

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.

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.

Abstract

This article intends to provide a framework to better understand the economic problems and legal challenges resulting from the transition of the European economy to a data economy. We discuss some policy concerns surrounding the data economy, such as concentration in the data economy, anticompetitive business practices in the data economy, access to data and data sharing, data reliability, distributional effects of the data economy, and cybercrime. Moreover, we provide an overview of some important EU legal initiatives and reforms and clarify how the papers in this special issue contribute to assessing these initiatives from an economic point of view.

Abstract

AI chatbots such as ChatGPT help people produce texts. According to media reporting, these texts are also used for educational purposes. Thus, AI influences people’s knowledge and perception of current issues. This paper examines the narrative of ChatGPT's stories on climate change. Our explorative analysis reveals that ChatGPT’s stories on climate change show a relatively uniform structure and similar content. Generally, the narrative is in line with scientific knowledge on climate change; the stories convey no significant misinformation. However, specific topics in current debates on global warming are conspicuously missing. According to the ChatGPT narrative, humans as a species are responsible for climate change and specific economic activities or actors associated with carbon emissions play no role. Analogously, the social structuration of vulnerability to climate impacts and issues of climate justice are hardly addressed. ChatGPT’s narrative consists of de-politicized stories that are highly optimistic about technological progress.