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The formation mechanism of “sports fandom circle” in the digital media era: An analysis from the perspective of fan emotional dynamic development
The rise of the “sports fandom circle” has become a significant phenomenon in the digital media era, reshaping the emotional and social dynamics of sports fan communities. This study employs grounded theory methodology to analyze web-scraped data from 40 selected accounts on major Chinese social media platforms [Weibo, Xiaohongshu, and Bilibili] over a two-year period. These accounts were identified based on their focus on celebrity athletes [e.g., Fan Zhendong, Sun Yingsha, Wang Chuqin] and their engagement in fan-specific activities such as support, fan clubs, and voting. The analysis involved open coding, axial coding, and selective coding to construct an emotional interaction model. Our findings reveal that international sports events serve as emotional catalysts, where competition, nationalism, and athlete narratives trigger fans’ emotional arousal. Digital media platforms, including spatiotemporal extension, virtualization, and selectivity, amplify these emotions, fostering proximal emotional attachment to athletes. Through symbolic interactions and digital consumption, fans transition from individual engagement to collective emotional aggregation, solidifying their sense of group identity. However, in the reproduction process, the anonymity of digital media platforms can lead to emotional polarization, intensifying conflicts among fan groups, or facilitate emotional resocialization, fostering more rational and inclusive fandom behaviors. This study provides a theoretical framework for understanding the emotional evolution of sports fandom in the digital media era and offers practical insights for managing online fan communities, mitigating conflicts, and promoting a healthier digital sports culture.
Modular One-Pot Access to Boron-Carboxylated Dipyrromethene Dyes as Visible-Light and Two-Photon Activatable Photocages
Correction: Tunable Fe3O4 Nanorods for Enhanced Magnetic Hyperthermia Performance
A lightweight hybrid model for scalable and robust plant leaf disease classification
Correction: Determination of vibration characteristic in automatic tapping operations based on artificial neural networks
Correction: Towards the Vertical City: psychosocial mechanisms for human-centered underground office spaces
Recellularization of decellularized vascular grafts via aligned seeding of endothelial cells derived from human iPS cells
Correction: Assessment of the radiological situation near a mothballed uranium mining facility in North-East Kazakhstan
Correction: Computational identification of aspartic protease inhibitors for antimalarial drug development against Plasmodium Vivax
Author Correction: Multiscale wavelet attention convolutional network for facial expression recognition
Face perception: a window into the social mind
Mendelian randomization analysis of the association between vitamin B12 deficiency anaemia and the risk of developing lung disease
Correction: Deep learning based classification of tibio-femoral knee osteoarthritis from lateral view knee joint X-ray images
Correction: Anisotropic piezoresistive response of 3D-printed pressure sensor based on ABS/MWCNT nanocomposite
Global methane footprints growth and drivers 1990-2023
Abstract Methane has been identified as the second-largest contributor to climate change, accounting for approximately 30% of global warming. Countries have established targets and are implementing various measures to curb methane emissions. However, our understanding of the trends in methane emissions and their drivers remains limited, particularly from a consumption perspective (i.e. accounting for all emissions along the entire global supply chain). This study investigates the most recent dynamics of methane emissions across 120 sectors from both production and consumption viewpoints in 164 countries. It also discusses the status of decoupling of production- and consumption-based methane emissions from economic growth. Our results indicate that there is no foreseeable slowdown in the momentum of global methane emissions growth. Only a few developed countries have managed to reduce both production- and consumption-based emissions while maintaining economic growth (i.e., strong decoupling) during the observed period (1990-2023). Global trade accounts for approximately 30% of global methane emissions, but major trade patterns are shifting from North-North and North-South to South-South countries, reflecting the increasing participating of developing countries in global supply chains. The study further reveals the changing drivers of global methane emissions from 1998 to 2023 in five-year intervals. It identifies that the reduction in emission coefficient (i.e., emissions per unit of output), driven by advancements in improved energy efficiency and cleaner production technologies, is the main determinant for reducing emissions over the observation period, partly offsetting the increasing effects from growth of final demand. Changes in demand structure have played a considerable role in the increase of emissions since 2008. This study enhances our understanding of the changes and drivers of methane emissions and supports countries in incorporating methane emissions into their climate mitigation strategies.
Effect of discontinuous fair-share emissions allocations immediately based on equity
Abstract National emissions targets are collectively insufficient to align with the Paris Agreement. The fair-share literature assesses whether these targets are fair and ambitious in comparison to emissions trajectories based on equity principles. Such emissions trajectories commonly start at present-day emissions levels. Here we show that these continuous trajectories inherently reward past inaction and increasingly do so with their iterative updates. We provide an approach to allocating emissions trajectories based on equity principles applied with immediate effect. The resulting discontinuous national trajectories not starting at current emissions levels imply significant immediate international support to fund rapid mitigation globally. Modelling allocations with or without continuity has remarkable consequences for the relative implied contributions to international support among high-income countries. We find that emissions targets of G7 countries, Russia and China are responsible for most of the global 2030 ambition gap, while only some countries align with their 1.5 °C allocation.