Chinese Online News Research Articles

Sourcing and framing in cancer control continuum: A content analysis of Malaysian English and Chinese online cancer news.

In health news production, sourcing and framing are two critical mechanisms that influence how newsreaders think about and perceive the severity of a health issue. Understanding how local media covers the cancer control continuum is vital. However, very limited studies have looked at the effect of sourcing and framing in cancer news coverage, and it is still unknown how sources and news frames shape cancer coverage, especially in non-Western countries. This study examines framing and sourcing patterns in news stories reporting on cancer control in Malaysian mainstream (English) and ethnicity (Chinese) online news sites, uncovering underlining associations between essential news components, source, and framing. We used a predesigned code book to conduct a quantitative content analysis on cancer news stories (n = 841) published on two Malaysian English and Chinese online news sites from 2017 to 2019. Cancer news received adequate coverage in Malaysian English and Chinese media and was also session-centered. Two logistic regression models demonstrated the internal relationships between sourcing, framing, and different elements in cancer coverage. In terms of news sources, the results revealed that medical journals were the most likely to be cited when the news focused on medical research, followed by primary cancer prevention. When the news concentrated on statistical cancer reports and environmental/occupational risk factors, government agencies were more likely to be interviewed. Of news frames, when the news articles engaged with medical institutions and mentioned medical publications, the lifestyle frame was very likely to be shown, but the environmental frame was more likely to be portrayed when interviewing medical practitioners. This study is the first comprehensive assessment to analyze and compare Malaysian English and Chinese online cancer news coverages and uncover underlying associations between news components, sourcing, and framing paradigms. We contributed to the scholarly understanding of cancer news coverage. This study can serve as a model for future health promotion researchers, journalists, and policymakers. Implications for cancer risk communication research, health journalist practices, and health policymaking were discussed.

Sacrificing long hair and the domestic sphere: Reporting on female medical workers in Chinese online news during Covid-19

In the context of the outbreak of the Covid-19 pandemic, female medical staff constituted a large proportion of frontline healthcare workers in China, with 50% of doctors and over 90% of nurses being women. In this paper, we aim to examine how these medical workers were represented at the start of the pandemic in online news reports posted on one of China’s most popular social media platforms, Weibo. In the paper, we draw upon corpus-based critical discourse analysis, comparing representations of female medical workers to those of medical workers in general. We observe that not only are female medical workers portrayed through a predominantly gendered lens, but they are also subordinated to the needs of the state. We consider the role played by state-controlled media in regulating the position of (working) women in society and probe into rhetorical means through which this is achieved.

A Long-Text Classification Method of Chinese News Based on BERT and CNN

Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years. However, real Chinese online news is characterized by long text, a large amount of information and complex structure, which also reduces the accuracy of Chinese long text classification as a result. To improve the accuracy of long text classification of Chinese news, we propose a BERT-based local feature convolutional network (LFCN) model including four novel modules. First, to address the limitation of Bidirectional Encoder Representations from Transformers (BERT) on the length of the max input sequence, we propose a named Dynamic LEAD-n (DLn) method to extract short texts within the long text based on the traditional LEAD digest algorithm. In Text-Text Encoder (TTE) module, we use BERT pretrained language model to complete the sentence-level feature vector representation of a news text and to capture global features by using the attention mechanism to identify correlated words in text. After that, we propose a CNN-based local feature convolution (LFC) module to capture local features in text, such as key phrases. Finally, the feature vectors generated by the different operations over several different periods are fused and used to predict the category of a news text. Experimental results show that the new method further improves the accuracy of long text classification of Chinese news.

Attribution of Responsibility for Pick Up Artist Issues in China: The Impacts of Journalist Gender, Geographical Location, and Publication Range

Pick-up artists (PUAs) apply strategies from evolutionary psychology to exploit women emotionally, sexually, and financially. In China, PUA issues have been garnering attention from journalists and news media. However, scholars have yet to explore how such issues have been portrayed in Chinese online news media, in particular the attribution of responsibility. The current study content-analyzed 115 Chinese online news articles related to PUA issues to explore whom the responsibility for causing and solving the issue is attributed, and investigated the influence of journalist gender, geographical location, and publication range on the attribution of responsibility. The results indicated that (a) the responsibility for both causing and solving the issue was attributed to perpetrators and the society frequently and to victims sporadically and (b) the attribution of responsibility differs across geographical locations or when the news websites are national as opposed to provincial. Directions for future studies were discussed.

Detecting and Classifying Typhoon Information from Chinese News Based on a Neural Network Model

Typhoons are major natural disasters in China. Much typhoon information is contained in a large number of network media resources, such as news reports and volunteered geographic information (VGI) data, and these are the implicit data sources for typhoon research. However, two problems arise when using typhoon information from Chinese news reports. Since the Chinese language lacks natural delimiters, word segmentation error results in trigger mismatches. Additionally, the polysemy of Chinese affects the classification of triggers. Second, there is no authoritative classification system for typhoon events. This paper defines a classification system for typhoon events, and then uses the system in a neural network model, lattice-structured bidirectional long–short-term memory with a conditional random field (BiLSTM-CRF), to detect these events in Chinese online news. A typhoon dataset is created using texts from the China Weather Typhoon Network. Three other datasets are generated from general Chinese web pages. Experiments on these four datasets show that the model can tackle the problems mentioned above and accurately detect typhoon events in Chinese news reports.

Still a “female problem”: a framing analysis of the Human Papillomavirus (HPV) vaccine in Chinese online news

Approximately 562 million women in China are at risk for cervical cancer, which is mainly triggered by persistent infections with human papillomavirus (HPV). HPV is also responsible for the majority of penile, anal, and oropharynx cancers in men. In this study, online Chinese news content was examined 12 months before and after the approval of the HPV vaccine in China. The coding instrument captured issue-specific and generic frames of the HPV vaccine. The sample of 224 online news articles revealed that headlines about the vaccine tended to be neutral in tone (48.7%); however, 32.1% of the sample did not mention the vaccine. Although information about vaccine efficacy, costs, and the populations recommended for vaccination increased after the approval, other information, such as safety concerns, increased significantly. Although 76.3% of the sample labeled the vaccine as a tool for cervical cancer prevention, they failed to recognize it as a method for preventing sexually transmitted diseases. In the sample, gender bias was present in both the headlines and content of the articles. For example, in the news stories, the consideration of the eligibility of males for vaccination, the effectiveness of the vaccine in preventing diseases in men and the use of male exemplars were far from satisfactory. Moreover, the gender bias remained consistent over time. The implications of the findings and the contributions of the study are discussed.

Motivations for positional variant of reporting clause in English and Chinese

Under the systemic-functional linguistic (henceforward SFL) framework, the phenomenon of (in)direct speech is discussed under the notion of projection. The special nature of projection has generated a great deal of discussion on its thematic structure, its interpersonal meaning in news register and others. However, the motivation for the positional variant of the reporting clause has not received enough attention. This article attempts to explore this issue through a deductive and corpus-based comparative approach. A small corpus of English and Chinese online news reveals that there is a higher frequency of the reporting clause that occurs in the post position in English than Chinese (23% vs none). It is argued that in English, in addition to textual motivation, an important motivation for the positional variant of the reporting clause is logical, while in Chinese, the taxis of projection may be inherently paratactic. Thus, there is no motivation to eliminate the dominant status of the reporting clause by putting it finally. The difference may ultimately originate from the dominant status of Mood structures of the two languages. With this hypothesis, this article also explains why free indirect speech is relatively more favored in the first paragraphs of news stories in English.

Schizophrenia in Chinese and U.S. Online News Media: Exploring Cultural Influence on the Mediated Portrayal of Schizophrenia

ABSTRACTDrawing on the constructionist framing approach, this quantitative content analysis compares online news coverage of schizophrenia in China and the United States in 2015. Incorporating the concept of individualism–collectivism, this study seeks to unveil the effects of culture on the framing of causes, solutions, responsibility attribution, and discourse types. The findings reveal that the link between cultural orientation and the media’s framing of schizophrenia is not simple, as both cross-cultural consistency and differences were observed. In addition, compared to U.S. online media, Chinese online news outlets were more likely to cover schizophrenia episodically, while placing more problem-solving responsibility on society. Moreover, examining stigma and challenge cues, this study also found that schizophrenia was more severely stigmatized in Chinese than in U.S. online news platforms. Theoretical and practical implications are discussed.

유에스에이투데이닷컴의 웹사이트 홈페이지디자인과 서비스디자인 분석

본 연구는 이용자와의 상호작용을 추구하는 온라인 커뮤니케이션의 대표적인 매체로 간주되고 있는 유에스에이투데이닷컴을 홈페이지디자인과 서비스디자인 측면에서 분석함으로써 중국의 온라인신문들이 나아갈 방향을 찾는데 도움을 주고자 한다. 이를 위해 지면-온라인신문의 통합 뉴스룸 운영을 통해 세계 최고 수준의 혁신적인 디자인과 서비스를 제공하고 있는 유에스에이투데이닷컴을 2016년 5월 23일부터 6월 5일까지 2주 동안 랜덤하게 방문하여 분석하였다. 유에스에이투데이닷컴은 지면신문인 유에스에이 투데이와 일관된 시각 아이덴티티 연계성을 갖고 있다. 그리고 멀티미디어와 가로읽기 방식의 기사, 이용자와 편집자는 물론 이용자간 쌍방향 소통, 이용자와 광고주를 모두 고려한 광고와 직관적인 결제 기능 등 편리하고 유니크한 서비스디자인을 제공하고 있다. 분석 내용을 토대로 중국도 사용자 경험을 고려한 독창적인 디자인을 개발하여 온라인신문의 페이지와 서비스를 개선한다면 콘텐츠는 물론 디자인도 우수한 세계적인 온라인신문으로 자리매김할 수 있을 것으로 기대한다. The purpose of this paper is to explore and analyze design of USATODAY.COM aimed at being helpful for Chinese online news industry to search for the way forward. USATODAY.COM which converges print and online newsrooms is regarded as a pioneer in the online communication media. It engages interaction with users and their demand, and provides the best level of website and service design. This paper conducted through both theoretical works and design analyses by randomly visiting USATODAY.COM from May 23 to June 5, 2016. USATODAY.COM maintains consistent and high quality of a visual identity system on its homepage, and it is strongly linked to that of USA TODAY. Also, USATODAY.COM provides unique content provision methods, interactive features, advertisement and payment functions through service design considering the user experiences and needs. Based on its results, it is expected to contribute to Chinese online newspaper market which has an astonishing chance to grow.

Review of Han (2014): Metaphor and Entertainment. A Corpus-Based Approach to Language in Chinese Online News

Review of Han (2014): Metaphor and Entertainment. A Corpus-Based Approach to Language in Chinese Online News

Book review: Chong Han, Metaphor and Entertainment: A Corpus-Based Approach to Language in Chinese Online News

Book review: Chong Han, <i>Metaphor and Entertainment: A Corpus-Based Approach to Language in Chinese Online News</i>