In this paper, a new human resource scheduling algorithm is proposed based on the optimization simulation of the human resource scheduling algorithm to find the most suitable human resource allocation scheme for different regions. A simulation system for human resource allocation is proposed, which integrates the scheduling algorithm of this paper and conducts simulation experiments using the historical data of enterprise problems in each region collected in a smart city. The simulation experiment proves that the dispatching algorithm in this paper (...) is more reasonable than the current dispatching algorithm, and the relationship between enterprise problems and the number of employees is also found, and finally, the simulation system in this paper is proved to be stable through large-scale simulation experiment. (shrink)

In this paper, we employ Weibo Index as the proxy for investor attention and analyze the relationships between investor attention and stock market performance, i.e., trading volume, return, and volatility. The empirical results firstly show that Weibo attention is positively related to trading volume, intraday volatility, and return. Secondly, there exist bidirectional causal relationships between Weibo attention and stock market performance. Thirdly, we generally find that higher Weibo attention indicates higher correlation coefficients with the quantile regression (...) analysis. (shrink)

In the world of social media, people are free to choose names based on their preferences, which may potentially reflect certain levels of uniqueness. In this study, we have attempted to explore the possibility of applying the ecological theory of individualism/collectivism in the context of social media. We, thus, examined provincial variations in the uniqueness of nicknames among more than 13 million Sina Weibo users. Initially, the nickname uniqueness indicator was set at the provincial level. It was found that (...) the uniqueness of nicknames was the highest in provinces with temperate climates, for example Guangdong, and the lowest in provinces with demanding climate, such as Ningxia. Regression analysis results partially supported that inhabitants in provinces with temperate climate were more likely to use unique nicknames on social media compared to those from harsh climate. This finding is significant in terms of ecology. (shrink)

經濟倫理的對話 財富思想的對話 支配類型的對話 理念類型的對話 決策倫理的對話 《儒家與韋伯的五個對話》為跨越政治、經濟、宗教與方法學等領域的思想史學術創作。葉仁昌教授累積了將近三十年的思考與體會，很大膽並充滿創意地，對儒家與韋伯（Max Weber）開展了五個批判性的對話。包括了清教徒與東亞的經濟倫理、欠缺無限利潤心的儒家財富思想、道德型正當性的支配類型、義利之辨的四種理念類型，以及何不曰利的決策倫理省思。藉此，不只重構了韋伯若干論述 的框架，也爲儒家提供了新視角下的不同詮釋。 韋伯是一位經典的大師，葉仁昌教授卻不只具體地指出韋伯對儒家的理解盲點，還應用韋伯的方法學來新論儒家，更試圖補足韋伯對儒家在研究上的遺漏，完成韋伯未竟的探索，甚至重構韋伯有關支配類型的框架。當然，在這樣 的過程中，儒家也因為新的視角而得到了不同詮釋。.

Focusing on Weibo and Twitter, this study adopts computer-mediated discourse analysis to examine how influencers use emoji sequences when engaging in self-presentation. It identified a variety of text-based speech acts, emoji functions, and functional relations by conducting speech act and pragmatic function analysis. ‘Claim’ is the most common text-based speech act accompanying with emoji sequences in both data groups; however, the former had a higher percentage than the later. Moreover, emoji functioning as a combination of ‘stance and action’ in (...) sequences comprise the most prominent category in the Twitter data, whereas the ‘concept’ function accounts for the largest percentage within the Weibo data. Finally, emoji sequences serving as ‘emphasis on text’ is most employed in connection with accompanying texts in both data. This study also observed how a lack of user-desired emoji may be compensated for through collocation of emoji sequences, a device which involves significant creativity and intricacy. (shrink)

This research examines the knowledge constructed in political ironic discourses, which is associated with different models of practicing self-censorship, taking a case study of the 2017 Hong Kong Chief Executive Election via social media Weibo. Critical discourse analysis, the verbal irony principle and semi-structured interviews were employed to compare participants from mainland China and Hong Kong, including opinion leaders and casual users. This research suggests a three-stage analytical framework that clearly emphasizes the act of rhetorical discourse and the practice (...) of self-censorship. As such, it reveals citizens’ intrinsic motivation related to self-efficacy, resistance or empowerment. This research argues that dissidents’ shared knowledge and ideology are structurally represented in the ‘binary opposition’ mode of rhetorical discourse, concerning the discursive construction of Hong Kong identity. The proliferation of rhetorical discourse, evolving shoulder to shoulder with Internet self-censorship, results from the complexity of politics, history and digital technology development within China. (shrink)

Currently, the coronavirus disease 2019 pandemic experienced by the international community has increased the usage frequency of borderless, highly personalized social media platforms of all age groups. Analyzing and modeling texts sent through social media online can reveal the characteristics of the psychological dynamic state and living conditions of social media users during the pandemic more extensively and comprehensively. This study selects the Sina Weibo platform, which is highly popular in China and analyzes the subjective well-being of Weibo (...) users during the COVID-19 pandemic in combination with the machine learning classification algorithm. The study first invokes the SWB classification model to classify the SWB level of original texts released by 1,322 Weibo active users during the COVID-19 pandemic and then combines the latent growth curve model and the latent growth mixture model to investigate the developmental trend and heterogeneity characteristics of the SWB of Weibo users after the COVID-19 outbreak. The results present a downward trend and then an upward trend of the SWB of Weibo users during the pandemic as a whole. There was a significant correlation between the initial state and the development rate of the SWB after the COVID-19 outbreak. LGMM results show that there were two heterogeneous classes of the SWB after the COVID-19 outbreak, and the development rate of the SWB of the two classes was significantly different. The larger class showed a slow growth, while the smaller class showed a rapid growth. Furthermore, the slope means across the two classes were significantly different. Therefore, the individuals with a higher growth rate of SWB exhibited stronger adaptability to the changes in their living environments. These results could help to formulate effective interventions on the mental health level of the public after the public health emergency outbreak. (shrink)

Public concern over major agricultural product safety incidents, such as swine flu and avian flu, can intensify financial losses in the livestock and poultry industries. Crawler technology were applied to reviewed the Weibo social media discussions on the African Swine Fever incident in China that was reported on 3 August 2018, and used content analysis and network analysis to specifically examine the online public opinion network dissemination characteristics of verified individual users, institutional users and ordinary users. It was found (...) that: attention paid to topics related to “epidemic,” “treatment,” “effect” and “prevent” decrease in turn, with the interest in “prevent” increasing significantly when human infections were possible; verified individual users were most concerned about epidemic prevention and control and play a supervisory role, the greatest concern of institutional users and ordinary users were issues related to agricultural industry and agricultural products price fluctuations respectively; among institutional users, media was the main opinion leader, and among non-institutional users, elites from all walks of life, especially the food safety personnel acted as opinion leaders. Based on these findings, some policy suggestions are given: determine the nature of the risk to human health of the safety incident, stabilizing prices of relevant agricultural products, and giving play to the role of information dissemination of relevant institutions. (shrink)

Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. We observe that the influence of community including multiple users outweighs the individual influence. Existing models focus on the individual influence analysis, but few studies estimate the community influence that is ubiquitous in online social network. A major challenge lies in that researchers need to take into account many factors, such as user influence, social trust, and user relationship, to model community-level influence. In this paper, (...) aiming to assess the community-level influence effectively and accurately, we formulate the problem of modeling community influence and construct a community-level influence analysis model. It first eliminates the zombie fans and then calculates the user influence. Next, it calculates the user final influence by combining the user influence and the willingness of diffusing theme information. Finally, it evaluates the community influence by comprehensively studying the user final influence, social trust, and relationship tightness between intrausers of communities. To handle real-world applications, we propose a community-level influence analysis algorithm called CIAA. Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model. (shrink)

Using data from user comments to the official social networking account of the Hubei Red Cross Foundation on a participatory web platform, this study attends to the offensive and hateful comments produced by ordinary Internet users to blame the elite authorities for their malfeasance in managing the donation during the COVID-19 in China. Drawing on Discursive Psychology, we focus on the rhetorical strategies that users employ to legitimise their actions as well-founded evidential blame against a norm-breaking act rather than radical (...) extremist speech. The associated hatred among discussants are moral, social judgements. That said, hate speech also helps construct the moral standards of a normalised society. (shrink)

數十年來，學術界在西方建構的知識體系底下看似健康地成長茁壯，社會（科）學也不例外。但讓人難以理解的是，身為古典社會學三大家，且至今仍是全球最具影響力的學者韋伯（Max Weber）對於東方社會的描繪，與經驗事實並不相符，存在著巨大落差。更讓人不解的則是，東方（尤其是中國）知識份子奉韋伯之說法為圭臬，當他們面向西方時，讚嘆著歐洲經濟、科技，與社會思潮的進步，幾乎完全地 失去了批判能力；面向東方時，反而極具信心地全盤否定其傳統，並視之為進步的阻礙。 本書完整地將韋伯重要之著作、概念工具、歷史比較方法，以及對東方（特別是中國）的「理解」逐一詳實論證，期待讀者能從此書中得到些許啟發，進而修正過去被誤導的歷史觀與世界觀。.

內容簡介 為了批駁韋伯學說的謬誤，倘若我們以韋伯所謂的「理性化」和「除魅化」來界定「現代化」，則在儒家文化的發展史上，一共經過了三次「現代化」：在「軸樞時期」，孔子及其門人解釋《易經》，完成了儒家文化的第一次「 理性化」；宋明時期，程朱「理學」一派強調「道問學」和陸王「心學」一派強調「尊德性」，是其第二次現代化。 在「天人合一」的文化傳統裡，宋明理學家很難將具有「普遍性」的儒家價值理念建構成形式性的理論，來說清楚「儒家價值是什麼？」因此，儒家文化的第三次現代化，必須充分吸納西方文明菁華的科學哲學，以「多元哲學典 範」來建構「含攝文化的理論」。 本書以西方的科學哲學為基礎，先建構普世性的〈人情與面子〉理論模型，以及〈自我的曼陀羅模型〉，再以之作為參考架構，重新詮釋先秦儒家思想的內容，藉以描繪出先秦儒家思想的「文化型態學」。然後再對儒家思想分析 其「文化衍生學」，而分別討論：程朱的理學、陸王的心學、明清的經學，以及陽明學對於日本的影響。 在二十一世紀中，華人知識分子最重要的任務，是要以「儒、釋、道」三教合一的儒家文化作為主體，吸納西方文明的菁華，「中學為體，西學為用」，建立「儒家人文主義」的學術傳統，開創出嶄新的中華文明。.

The US and China have both benefited greatly from their trading relationship. However, motivated by a US concern that their partner was becoming more of a rival, then-president Donald Trump began a ‘trade war’ in 2018. In US news outlets and, of particular interest here, on American social media platforms, China was represented as a global menace, with extreme xenophobia against Chinese people. Yet less is known about how Chinese people responded on social media to the same situation. This paper (...) explores the discourses carried on the Chinese social media platform Weibo, focusing on the 2021 Alaska talks between the US and China, where negotiations took place. As with their US counterparts, Weibo users comment little on actual trade benefits or damages caused by the conflict. We find a strong sense of nationalism, but this is not based on xenophobia; rather on a discourse comparing the talks to similar events early in the twentieth century, where the ‘Century of Humiliation’ began, and where territories such as Hong Kong, Taiwan and Shaoshan were taken by colonial powers. Foregrounded is China’s ability now to end this humiliation. (shrink)

This paper explores how readers of Chinese mainstream media editorials use disagreement strategies to attack the institutional face of the mainstream media organizations on Weibo. By quantitative and qualitative analysis, the disagreement strategies in Weibo comments were elaborated based on the logos-oriented and ethos-oriented distinction. It was found that logos-oriented disagreements were employed to criticize the content of the editorial, ethos-oriented ad-hominem disagreements were employed to attack the trustworthiness and impartiality of the mainstream media organizations, and ethos-oriented ad-personam (...) disagreements were pure insults to express their negative emotions to the mainstream media organizations. The findings suggested that the online commenting space of Chinese mainstream media editorials is a public sphere of combined deliberation and liberal individualism. This study adds to existing literature the disagreement strategies used in online comments while shedding light on the role of online comments in the public sphere building in the Chinese social media context. (shrink)

This paper argues that the proliferation of the new term ‘baby man’ has an impact on reconstructing established gender relationships and resisting China's authoritarian political power in a highly-censored online environment. This study employs feminist critical discourse analysis to investigate how Chinese feminism adopts the discursive construction of ‘baby man’ and how they echo the complex historical and sociocultural backgrounds through a case study of 43 posts containing ‘baby man’ on Chinese social media. The finding suggests that the term ‘baby (...) man’ is employed in discursive strategies, namely, double irony, the blunt resistance against both gender and power relationships that deconstruct the heteropatriarchal gender norm through the mother – son female gaze and contempt for the nation's past and current population policy. It argues that despite perennial censorship, these three discursive strategies help reconstruct the extant gender hierarchy backed by conservative Confucianist ethics and represent a grassroots challenge to the political authoritarianism indoctrinated by the state. (shrink)

The popularity of social media, such as WeChat and Weibo in China, has provided an opportunity to develop social commerce. Although shopping through social commerce platforms is widely favored by consumers, the factors affecting consumers’ decision-making behavior in the social commerce environment remain unclear. Therefore, from the perspective of the stimulus–organism–response theory, we construct a consumer repurchase decision model in the social commerce environment and analyze the influencing mechanism of social commerce features on perceived value and consumers’ repurchase intention. (...) The empirical results found that social commerce features are positively related to the generation of perceived value, which in turn drives consumers to form repurchase intentions. We also found some mediating effects of perceived value. The study’s conclusions clarify the intrinsic influence mechanism of social commerce features on consumers’ perceived value and repurchase intentions. In addition, it can provide some theoretical guidance for future research and business. (shrink)

The 2003 SARS pandemic heralded the return of quarantine as a vital part of twenty-first century public health practice. Over the last two decades, MERS, Ebola, and other emerging infectious diseases each posed unique challenges for applying quarantine ethics lessons learned from the 2003 SARS-CoV-1 outbreak. In an increasingly interdependent and connected global world, the use of quarantine to contain the spread of SARS-CoV-2, or COVID-19, similarly poses new and unexpected ethical challenges. In this essay, we look beyond standard debates (...) about the ethics of quarantine and state power to explore a key quarantine principle, Reciprocity, and how it is being negotiated by healthcare workers, volunteers, and citizens in the context of the Wuhan, China, quarantine. We analyze Reciprocity through the lens of two Wuhan case studies: healthcare workers, particularly nurses, who are simultaneously essential workers and quarantined citizens, asked by their hospital administration to shave their heads because adequate PPE was not available, and citizen-to-citizen mutual aid societies attempting to fill gaps in essential supplies left unfilled by the state. We analyze social media and video-blogs from Wuhan, on the platforms of Douyin and Sina Weibo, to understand how people define and respond to ethical and legal obligations in the wake of COVID-19. It is no surprise that quarantine principles from the 2003 SARS outbreak are inadequate for COVID-19 and that both infectious disease outbreak responses and ethics must adapt to the virtual age. We offer ideas to strengthen and clarify Reciprocal obligations for the state, hospital administrators, and citizens as the globe prepares for the next wave of COVID-19 circulating now. (shrink)

While the proliferation of social media technologies in China has empowered the public with new opportunities for public expression and political engagement in a ‘virtual public sphere’, Chinese Internet censorship has meant that users have to develop creative ways to engage in political criticism. In a context where both mechanical and human censors are employed, Chinese users have become adept at utilizing the affordances of technology, Chinese language and cultural resources to express their opinions through social media. Drawing upon data (...) from the Chinese microblogging website, Weibo, surrounding the major chemical explosions in 2015 in Tianjin, the study explores three discursive techniques of indirection by Chinese social media users to express political criticism in the context of censorship. The study highlights that through the creative use of quotation, allusion and irony, users challenged the authority’s official narratives of the event. The study not only demonstrates the pluralization and dynamics of Chinese online expression, but also points to a better understanding of Chinese censoring as a continuingly evolving interplay between technology and cultural forms and between layers of government and users. (shrink)

The pathogen-prevalence hypothesis postulates that collectivism would be strengthened in the long term in tandem with recurrent attacks of infectious diseases. However, it is unclear whether a one-time pathogen epidemic would elevate collectivism. The outbreak of COVID-19 and the widespread prevalence of online social networks have provided researchers an opportunity to explore this issue. This study sampled and analyzed the posts of 126,165 active users on Weibo, a leading Chinese online social network. It used independent-sample t-tests to examine whether (...) COVID-19 had an impact on Chinese collectivistic value-related behaviors by comparing the usage frequency of personal pronouns, group-related words, and relationship-related words before and after the outbreak. Overall, most collectivist words exhibited a significant upward trend after the outbreak. In turn, this tendency pointed to a rising sense of collectivism. Hence, this study confirmed the pathogen-prevalence hypothesis in real settings, finding that an outbreak of an infectious disease such as COVID-19 could exert an impact on collectivism and may deliver a theoretical basis for psychological protection against the threat of COVID-19. However, further evaluation is required to ascertain whether this trend is universal or culture-specific. (shrink)

Resumen Tomando como punto de partida las condiciones del contexto socio político donde se originó el brote epidémico del virus SARS-CoV-2, los autores analizan la influencia que tuvo el principio de beneficencia como una de las razones éticas que condujeron al oftalmólogo Li Wenliang a alertar a través de la red social Weibo, sobre el surgimiento de un brote epidémico distinto, por su agresividad, al del SARS. Se asume que dicho principio puede comprenderse a partir de un enfoque donde (...) se conjugan referentes occidentales -la primera formulación del imperativo categórico kantiano y el legado hipocrático- y orientales -el principio del Ren o humanidad, derivado del pensamiento confuciano-. El artículo concluye señalando que en un mundo interrelacionado donde las prácticas médicas tienen fundamentos científicos universales, es posible tomar decisiones éticas médicas válidas para diferentes contextos culturales, siempre y cuando se continúe avanzando en el terreno de un diálogo inter-civilizatorio con perspectiva horizontal.This article analyzes the influence of the principle of beneficence as one of the ethical reasons that led ophthalmologist Li Wenliang to alert, using the Weibo plaform, about the emergence of an epidemic outbreak different from SARS. Accordingly, we discuss the socio-political context of the SARS-CoV-2 epidemic in China. We assume that the principle of beneficence might be understood from an approach combining Western references - the first formulation of the Kantian categorical imperative and the Hippocratic legacy - with Oriental ones - the Ren or humanity, derived from Confucian thought. We conclude that in an interrelated world, with medical practices having universal scientific foundations, it is possible to validate medical ethical decisions from different cultural contexts, as long as progress continues in the field of an inter-civilizational dialogue with a horizontal perspective. (shrink)

Enterprises often post branded content on social media and adopt a proactive response approach to improve digital customer engagement to gain a competitive advantage. However, there are many brands which fail to operate social media as effectively as expected. The effective use of brand social media strategies to improve digital customer engagement remains an ongoing challenge for the enterprises. Based on firm-generated content theory and social presence theory, this study aims to identify the impact of brand social media strategies on (...) different levels of digital customer engagement, including positive filtering, cognitive and affective processing as well as advocacy from content strategy and response strategy. Based on 1,519 brand posts on the official Weibo pages of eight of the top 500 Chinese brands in 2021, this study uses a multiple linear regression model to examine the impact of brand social media strategies on digital customer engagement and the moderating effects of brand image and discretionary purchases. The findings show that, on the one hand, among the brand social media content strategies, action content strategy is associated with higher levels of digital customer engagement. On the other hand, different brand social media response strategies have a differential impact on digital customer engagement levels, with cohesive response being the best strategy for increasing digital customer engagement level. In addition, the effectiveness of brand social media response strategy in digital customer engagement is further moderated by the brand image and discretionary purchases. In contrast, the effectiveness of brand social media response strategy in digital customer engagement is stronger when the brand image emphasizes its “competence” or the discretionary purchases focus on “material purchases.” This study not only enriches the research on digital customer engagement but also provides a reference for the brand strategy selection, design and management based on social media. (shrink)

This study mainly focuses on the emotion analysis method in the application of psychoanalysis based on sentiment recognition. The method is applied to the sentiment recognition module in the server, and the sentiment recognition function is effectively realized through the improved convolutional neural network and bidirectional long short-term memory model. First, the implementation difficulties of the C-BiL model and specific sentiment classification design are described. Then, the specific design process of the C-BiL model is introduced, and the innovation of the (...) C-BiL model is indicated. Finally, the experimental results of the models are compared and analyzed. Among the deep learning models, the accuracy of the C-BiL model designed in this study is relatively high irrespective of the binary classification, the three classification, or the five classification, with an average improvement of 2.47% in Diary data set, 2.16% in Weibo data set, and 2.08% in Fudan data set. Therefore, the C-BiL model designed in this study can not only successfully classify texts but also effectively improve the accuracy of text sentiment recognition. (shrink)

Background:As a highly contagious disease, the COVID-19 pandemic has become a serious health threat and psychological burden for the global communities. From the conceptual perspective of affordances, this research examined the role of social media for health campaign and psychological support during the global crisis.Methods:Data from both social media and a nationwide survey were collected and analyzed. Face mask-related posts on Sina Weibo from January 1, 2020, to June 30, 2020, were retrieved and studied. Face mask wearing as a (...) well-established preventive measure was identified and examined from hashtag topics. A nationwide survey with a randomized experiment embedded was conducted to further investigate the mobilizing dynamics.Results:During the escalation phase in the first half of 2020, the hashtag topic “#national mask campaign#,” initiated by a celebrity, topped the ranking of mask-related topics on Weibo. The findings indicated that prevention activities, solidarity expression, and names of celebrity idols were frequently discussed. With celebrity idols as opinion leaders, millions of fandom publics actively participated in this hashtag health campaign. Results of the nationwide survey show the popularity of fan identity, and the experiment results demonstrate the strong mobilizing power of celebrity idol and fandom community in civic engagement and participation among young Chinese.Conclusions:The research demonstrates how the affordances of social media, such as liking, commenting, reposting, and hashtagging can be influential in promoting health behaviors and expressing solidarity. Implications for public health professionals and policymakers to raise awareness and understanding about health campaigns via social media are discussed. (shrink)

In this second issue on the scholar and public intellectual Yu Jianrong, we address some of the topics that have been at the core of his academic work and where his research and views have helped shaped awareness of these issues among the general public and the academic community. We focus on the rural-urban divide, land issues, the letters and visits system, and social unrest and the so-called stability issue. To highlight the public intellectual dimension of Yu's work, we have (...) selected some of his articles from traditional media; speeches that he has made and that have been circulated on the Internet; public debates with officials, scholars, and foreigners; and interactions with netizens on Sina Weibo. (shrink)

During the outbreak of COVID-19, information on the epidemic inundated people’s lives and led to negative emotions in many people. This study aims to explore the effect of various emotions on prosocial tendencies during the COVID-19 outbreak and the moderating effect of the severity of the epidemic. We explore these effects by conducting a text analysis of the content of posts by 387,730 Weibo users. The results show that the severity of the epidemic promotes prosocial tendencies; anger motivates prosocial (...) tendencies significantly; and the severity of the epidemic moderates the effects of three emotions—anger, sadness, and surprise—on prosocial tendencies. These findings provide a reference for exploring the positive significance of major disasters. (shrink)

Previous studies have shown the operational potential in political discourse analysis from the proximization perspective. This study adopts a cross-disciplinary approach to analyze political communication across transcultural contexts, especially in the cyber discourse space. Based on the spatial–temporal–axiological model, we compare the journalistic discourses on two social media platforms by China Xinhua News Agency, an official speaker for China worldwide. The corpuses are constructed with microblogs on Weibo in Chinese and Twitter in English containing key words of Sino–US trade (...) war. It is found that the speaker has shaped different realities of discourse in accordance with the cultural contexts and proximized from corresponding dimensions to increase political legitimacy. (shrink)

Daka destinations refer to tagging one’s visit to a popular destination by posting on social media. As a novel tourism concept derived from digital media in the post-pandemic era, Daka destinations have become a major option for potential tourists; thus, investigating tourist intentions toward them is of utmost significance to tourism recovery. Based on the viewpoints of information sources of Daka destinations, tourism motivations, and self-construction, this study investigates the research framework of potential tourism intentions through three scenarios. The findings (...) revealed the following: Different information sources have different stimuli for potential tourists, and WeChat Moments exerted a positive impact on tourism intention because of credibility; tourism bloggers from Weibo exert a more significant positive impact on tourism intentions of potential tourists because of professionalism. Considering the credibility of WeChat Moments, the extrinsic motivation of potential tourists exerted a more significant impact on tourism intentions; regarding professional tourism bloggers, the intrinsic motivation of potential tourists exerted a more significant impact on tourism intention. Regarding the credibility of WeChat Moments, dependent self-construction potential tourists with extrinsic motivation exerted a more significant impact on tourism intention. Regarding tourism bloggers with high professionalism, independent self-construal potential tourists with intrinsic motivation exerted a more significant impact on tourism intention. This study enriches the research mechanism of the formation path of potential tourists’ tourism intention, extends the self-construction theory to the research field of using social media to collect Daka destinations tourism information, and provides a reference to subsequent research on potential tourists’ tourism intention. (shrink)

The wanton dissemination of network pseudohealth information has brought great harm to people’s health, life, and property. It is important to detect and identify network pseudohealth information. Based on this, this paper defines the concepts of pseudohealth information, data block, and data block integration, designs an architecture that combines the latent Dirichlet allocation algorithm and data block update integration, and proposes the combination algorithm model. In addition, crawler technology is used to crawl the pseudohealth information transmitted on the Sina (...) class='Hi'>Weibo platform during the “epidemic situation” from February to March 2020 for the simulation test on the experimental case dataset. The research results show that the LDA model can deeply mine the semantic information of network pseudohealth information, obtain the features of document-topic distribution, and classify and train topic features as input variables; the dataset partitioning method can effectively block data according to the text attributes and class labels of network pseudohealth information and can accurately classify and integrate the block data through the data block reintegration method; and considering that the combination model has certain limitations on the detection of network pseudohealth information, the support vector machine model can extract the granularity content of data blocks in pseudohealth information in real time, thus greatly improving the recognition performance of the combination model. (shrink)

With the development of technology, news media and film and television media are spreading faster and faster, and at the same time, the spread of rumors is also accelerated. This article briefly describes the application of artificial intelligence in news media and film and television media using a back-propagation neural network algorithm to reform refutation of rumors in news media and film and television media, and compared it with K-means and support vector machine algorithms in simulation experiments. The results showed (...) that the BPNN-based rumor recognition model had better recognition performance and shorter recognition time; it was more accurate in recognizing Weibo texts that were complete and faster in recognizing bullet screen comments that were short; the BPNN-based rumor recognition model also had the lowest false detection cost and performed stably when being used in actual Weibo platform and bullet screen video website. (shrink)

Les réseaux sociaux numériques ont connu en Chine un engouement massif, et cela dès leur introduction en 2007. On compte aujourd’hui 210 millions d’utilisateurs de « ites d’échanges sociaux », soit exactement la moitié des 420 millions d’internautes chinois, et les autorités chinoises soulignent désormais que ce développement des réseaux sociaux numériques est « irrésistible ». Comme souvent pour la Chine, la tyrannie des nombres n’a d’égale que l’originalité des usages. C’est cette originalité bornant à la singularité des « caractéristiques (...) chinoises » − étroitesse des liens entre réseaux sociaux numériques de socialisation et de navigation, domination des plateformes nationales, « harmonisation » des contenus, prévalence des liens forts, etc. − que nous nous efforçons de mettre au jour en nous intéressant successivement aux utilisateurs, aux plateformes et au rôle particulier joué par l’État-parti chinois dans les structures sociales. Une fois encore, l’héritage communiste s’affiche comme une subtile synthèse entre contrôle des pratiques et mobilisation des individus et des organisations sociales, tout en tolérant les vertus cathartiques et correctives des émois populaires liés aux sentiments d’injustice.Social networking sites have spread like wildfire in China, ever since the first sites appeared there in 2007. There are now some 210 million people using “social exchange sites”, which is exactly half of all Internet users in China, and the Chinese authorities are saying that the development of social networking sites is “irresistible”. As is often the case in China, the weight of numbers is equalled only by the distinctiveness of their Internet uses. It is this distinctiveness, which borders on the singular − very close links between online socialisation and navigation networks, predominance of national sites, content “harmonisation”, prevalence of strong links, etc. − that we attempt to bring out here, by successively investigating users, sites and the particular role played by China’s one-party State in the country’s social structures. The legacy of Communism once again stands out as a subtle mix between control over practices and the mobilisation of individuals and social organisations and a tolerance of the cathartic and corrective virtues of popular emotion aroused by feelings of injustice. (shrink)

The COVID-19 pandemic has created an urgent need for volunteers to complement overwhelmed public health systems. This study aims to explore Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic. To this end, we identify the latent topics in volunteerism-related microblogs on Weibo, the Chinese equivalent of Twitter using the topic modeling analysis via Latent Dirichlet Allocation. To further investigate the public sentiment toward the topics generated by LDA, we also conducted sentiment analysis on the sample posts using the (...) open-source natural language processing technique from Baidu. Through an in-depth analysis of 91,933 Weibo posts, this study captures 10 topics that are, in turn, distributed into five factors associated with volunteerism in China as motive fulfillment, fear of COVID-19, individual characteristic, government support, and community effect. The results show that motive fulfillment, government support, and community effect are the factors that could enhance positive attitudes toward volunteerism since the topics related to these factors report high proportions of positive emotion. Fear of COVID-19 and individual characteristic are the factors inducing negative sentiment toward volunteerism as the topics related to these factors show relatively high proportions of negative emotion. The provision of tailored strategies based on the factors could potentially enhance Chinese people’s willingness to participate in volunteer activities during the COVID-19 pandemic. (shrink)

The COVID-19 pandemic catalyzes new opportunities for CSR development, and companies in both China and the US, the two largest economies severely impacted by the pandemic, are seeking innovative ways to engage with publics on social media through CSR communication. This study draws on the care ethics theory to examine different manifestations of care values in corporations’ CSR messages and their relationships with publics’ behavioral and emotional engagement on social media. A quantitative content analysis of Weibo and Twitter posts (...) from Fortune 500 companies in China (_n_ = 30) and the United States (_n_ = 30), respectively, revealed that companies in both countries employ multifaceted care-based CSR messages, but in distinct ways and with varying types and levels of public engagement on social media. We interpreted the differences from institutional, cultural, and relational perspectives. The results of this research add to theorizing CSR communication from a feminist ethical viewpoint and with contextualized interpretations. Our findings also guide post-pandemic CSR communication development, particularly relevant to public relations practitioners in the Chinese and US markets. (shrink)