Suchergebnisse

published_or_final_version ; abstract ; Politics and Public Administration ; Master ; Master of Philosophy

With the rapid development of information technology, new media, as a typical example of social media, rises abruptly, relying on the Internet, which has caused a strong impact on traditional media. In the era of information fragmentation, domestic films have more chance to catch people's eyes especially through social media, such as Tiktok, Instagram and Youtube. The huge number of users on social media allows film capitalists to target some potential user groups. Whenever a movie is about to be released, filmmakers always choose to vigorously promote it on social media, such as short videos, in order to attract more audiences and attract box office. However, social media itself is a double-edged sword, and marketing methods are sometimes difficult to grasp, and there are countless films that attract attention by exaggerating facts, especially on social platforms where information spreads quickly. This article will study and analyze several common ways and types of over-marketing by using short videos, so as to find out the disadvantages of over-marketing of domestic films, and give a warning and suggestion to the publicity mode of future films.

AbstractThe formation of an industrial network is inevitable because an industrial structure evolves to a higher level. The continuous material exchange among sectors creates a path for the embodied carbon in products to flow freely among industries. With the gradual complication of industrial networks, however, the emission reduction behavior of sectors not only becomes rooted in individual conduct, but also originates from the interaction forces between individuals. Therefore, carbon management in industries in the real economy needs to be explored from the perspective of these complex networks. On the basis of these considerations, this study utilized a hybrid model, the Economic Input–Output Life Cycle Assessment model, to construct the carbon footprint network of China's industries in 2002, 2007, 2012, and 2017. We also applied social network analysis to quantify the structural characteristics and evolutionary patterns of the network. Results showed that the transmission efficiency of resources and the subgroup‐integrated degree of the actors within the carbon footprint network were excellent, which was conducive to coordinated carbon emission reduction of these sectors from a network perspective. Agriculture and services were the engines driving sector‐wide carbon emission reduction through links within the network. Furthermore, some sectors, such as transportation and the warehousing industry, basic chemicals and chemical products manufacturing, and metal smelting and rolling processing industry, act as bridges and brokers. These sectors are keys to ensuring network cohesion and reducing the risk of network fragmentation. Finally, the industrial block network presented a hierarchical structure of a core–edge network. The network followed a trend of structural changes in which the network core became increasingly clear, and the network distribution pattern gradually concentrated on a single block. This finding revealed a new pathway for collaborative carbon mitigation in the industry from the perspective of the industrial community.

AbstractDo physicians behave rationally when facing a new disease? This study assesses physicians' ambiguity attitudes towards the future severity of the COVID-19 pandemic in its early stages and the financial market in the US using an incentive-compatible online experiment. Our findings indicate that physicians demonstrate significant deviations from expected utility, characterized by a modest degree of ambiguity aversion and pronounced levels of likelihood insensitivity. While physicians generally show less insensitivity to uncertainty compared to the general public, both groups exhibited similar levels of irrationality when dealing with the ambiguity surrounding the COVID-19 severity. These results underscore the necessity for debiasing strategies among medical professionals, especially in managing real-world uncertainties, with a specific focus on mitigating likelihood insensitivity.