1,737 Results Found

Over the past decade, China has witnessed fast-paced technological advancements in the media industry, as well as major shifts in the health agenda portrayed in the media. Therefore, a key starting point when discussing health communication lies in w...

Human attention has become an object of study that defines both the design of interfaces and the production of emotions in a digital economy ecosystem. Guided by the control of users’ attention, the consumption figures for digital environments,...

This study utilized web crawling and text analysis to collect weekly data from July 2018 to March 2022. Using the spiral of silence theoretical framework, it explores the relationship between consumer online attention during sudden animal epidemics a...

We analyze ESG-related news coverage to examine media attention patterns as a reflection of stakeholders’ perceived salience of ESG issues at both the industry and firm levels, offering insights into the evolving nature of ESG materiality. Usin...

With the online presence of more than half the world population, social media plays a very important role in the lives of individuals as well as businesses alike. Social media enables businesses to advertise their products, build brand value, and rea...

In the post-epidemic era, more and more enterprises have realized the crucial significance of corporate social responsibility for enterprise development. However, there is no consensus on the relationship between CSR and financial performance (FP). W...

Sarcasm and irony represent intricate linguistic forms in social media communication, demanding nuanced comprehension of context and tone. In this study, we propose an advanced natural language processing methodology utilizing long short-term memory...

Under the green sustainable development strategy, media attention has played a vital role in promoting green innovation of enterprises. Nevertheless, existing research mainly analyzes how media attention affects enterprise innovation behavior, while...

There exist various text-classification tasks using user-generated contents (UGC) on social media in the big data era. In view of advantages and disadvantages of feature-engineering-based machine-learning models and deep-learning models, we argue tha...

Social media has developed into a leading advertising platform, with Instagram likes serving as visual cues that may influence consumer perception and behavior. The present study investigated the effect of Instagram likes on visual attention, memory,...

Elastic wavefield separation in anisotropic media is essential for seismic imaging but remains challenging due to complex interactions among multiple wave modes. Traditional methods often rely on solving the Christoffel equation, which is computation...

Social media has become a dominant channel for food marketing, particularly targeting youth through visually engaging and socially embedded content. This study investigates how young adults visually engage with food advertisements on social media and...

As an intermediary in information dissemination and a guide of public opinion, the media represent an important external supervision force in corporate governance. It is very important to fully understand the supporting role of public media in the mo...

This study explores the relationship between environmental, social, and governance (ESG) performance and enterprise value in Chinese tourism companies, with differing degrees of media attention and green innovation as the multiple-chained mediating f...

The birth and following growth of social media platforms has influenced a lot. In addition to beneficial features, it has long-been noticed that heavy consumption of social media can have negative effects beyond a simple lack of time for other things...

Improving the efficiency of local fiscal expenditure is an important way to swiftly mitigate local fiscal risks according to the current economic situation. Based on the provincial panel data of 30 provinces in mainland China (except Tibet Autonomous...

Attention-Deficit/Hyperactivity Disorder (ADHD) is consistently associated with a host of social problems, such as victimization and difficulties in maintaining close friendships. These problems are not limited to offline relations but also manifest...

Amid China’s push for digital transformation, green technology innovation has become a vital pathway to achieving its carbon neutrality goals. Using panel data from Chinese A-share-listed companies between 2012 and 2023, sourced from the CNRDS...

Depression represents a major global health challenge, yet traditional clinical diagnosis faces limitations, including high costs, limited coverage, and low patient willingness. Social media platforms provide new opportunities for early depression sc...

China’s economic development has gradually entered a new period of slowing down and changing from quantity to quality, which has put forward higher requirements for environmental quality. How to better fulfill environmental responsibilities and...

Over through the years, people have invested in stock markets in order to maximize their profit from the money they possess. Financial sentiment analysis is an important topic in stock market businesses since it helps investors to understand the over...

Food health misinformation poses risks to public well-being, often spreading through social media and interpersonal contexts. This study extends the Influence of Presumed Media Influence (IPMI) model to explain how individuals move from attention to...

Phubbing, or using a phone to snub another person, has been investigated through social and personality frameworks. Phubbing involves attending to and performing competing tasks, implying the involvement of attentional abilities. Yet, past research h...

Social media is used daily by a significant number of young people and can have an important influence on the well-being of its users. The aim of this study was to determine the motives for social media use among Chinese youth and whether social medi...

Objective: Social media (SM) have flourished and are affecting human lives on an unprecedented scale. Problematic social media use (PSMU) is a recently emerging problematic behavior that affects both physical and mental health. The purpose of this st...

Text-guided image editing has been highlighted in the fields of computer vision and natural language processing in recent years. The approach takes an image and text prompt as input and aims to edit the image in accordance with the text prompt while...

Depression represents a critical global mental health challenge, with social media offering unprecedented opportunities for early detection through computational analysis. We propose a novel BERT–CNN–BiLSTM architecture with attention mec...

Suicidal ideation constitutes a critical concern in mental health, adversely affecting individuals and society at large. The early detection of such ideation is vital for providing timely support to individuals and mitigating its societal impact. Wit...

Guided by the theory of reasoned action and media system dependency theory, this study examined attitude towards genetically modified foods (GMF) among university students in Kunming, China, as well as personal and media factors related to such attit...

This study proposes a research framework for media attention towards green innovation of manufacturing enterprises based on the theory of stakeholders and legitimacy. We examine the potential effect of media attention on the manufacturing industry an...

Recently, the widespread use of social media and easy access to the Internet have brought about a significant transformation in the type of textual data available on the Web. This change is particularly evident in Arabic language usage, as the growin...

This article selects the listed companies in China’s A-share heavy pollution industry from 2014 to 2018 as samples, uses a random effect model to empirically test the relationship between media attention and corporate environmental performance...

As a violation of moral integrity, corporate financial irregularities not only cause losses to investors and other stakeholders, but the enterprise itself is also punished by the relevant regulatory authorities. However, to realize their own interest...

Using digital media has become the most popular leisure activity for children and adolescents. The effects of digital media use on the developing brain and cognitive processes of children are subject to debate. Here, we examine the effect of digital...

Attention has become a central resource of contemporary political communication, yet existing accounts do not fully explain how visibility acquires social credibility and political force under platformised conditions. This article addresses that prob...

The previous literature has explored the various relationships among Attention-Deficit/Hyperactivity Disorder (ADHD), identity distress, imposter phenomenon (IP), self-esteem, masking, and social media, but to our knowledge no studies have looked at...

Sentiment analysis based on social media text is found to be essential for multiple applications such as project design, measuring customer satisfaction, and monitoring brand reputation. Deep learning models that automatically learn semantic and synt...

This paper takes China’s A—share listed companies from 2010 to 2020 as a sample to study the impact of media attention, institutional investor attention, and their interaction on the sustainable development performance of enterprises as w...

This paper explores the relationship between media coverage and stock returns using monthly data of news reports from major Chinese newspapers. We find that firms with higher media coverage in the current month have higher sustainable stock returns i...

Offensive language in social media affects the social experience of individuals and groups and hurts social harmony and moral values. Therefore, in recent years, the problem of offensive language detection has attracted the attention of many research...

Objective: This study aimed to investigate the relationship between social media use (SMU) in children diagnosed with major depression (MD) or attention deficit hyperactivity disorder (ADHD) and various psychosocial factors, including familial functi...

This study focuses on the case of news headlines in current online journalism, looking into the current possibilities opened by ChatGPT to generate such texts in an attention-grabbing manner. To assess the reaction of online readers to headlines (cli...

This study examines the role of media in boosting environmental governance and monitoring sustainable development in China and explores the relationship between the Chinese government and media coverage, and helps audiences understand the positions o...

Social media has become more popular these days due to widely used instant messaging. Nevertheless, rumor propagation on social media has become an increasingly important issue. The purpose of this study is to investigate the impact of various featur...

Using the panel data of Chinese A-share firms from 2012 to 2023, we find that executives’ focus on digitalization is significantly and positively associated with corporate sustainability performance. The finding holds firm after a suite of endo...

Media-saturated digital environments seek to influence social media users’ behaviour, including through marketing. The World Health Organization has identified food marketing, including advertising for unhealthy items, as detrimental to health,...

This study investigates the impact of director network stability on corporate green innovation, emphasizing the moderating roles of network position and media attention. Using a sample of Chinese A-share listed firms from 2009 to 2023, we present thr...

Recently, the analysis of emotions in social media has been considered a significant NLP task in digital and social-media-driven environments due to their pervasive influence on communication, culture, and consumer behavior. In particular, the task o...

This paper proposes a hybrid deep learning model for robust and interpretable sentiment classification of Twitter data. The model integrates Bidirectional Encoder Representations from Transformers (BERT)-based contextual embeddings, a Bidirectional L...

To address the issues of insufficient defect samples and low detection accuracy of barrel media, we propose a detection of the surface defects of barrel media based on a PaE-VGG model. The proposed PaE-VGG model is based on a modification of a state-...