The Application of Artificial Intelligence in Chinese News Media

2021 ◽  
Author(s):  
Yuting Wang
Keyword(s):  
Artificial Intelligence ◽  
News Media ◽  
Chinese News Media

How to Tell the Truth without Outraging the Press?

MedienJournal ◽  
2017 ◽  
Vol 30 (2-3) ◽  
pp. 37
Author(s):  
Li Xiguang
Keyword(s):  
News Media ◽  
Public Affairs ◽  
Chinese Government ◽  
Government Officials ◽  
The Public ◽  
News Stories ◽  
The Press ◽  
The Media ◽  
The Government ◽  
Chinese News Media

The commercialization of meclia in China has cultivated a new journalism business model characterized with scandalization, sensationalization, exaggeration, oversimplification, highly opinionated news stories, one-sidedly reporting, fabrication and hate reporting, which have clone more harm than good to the public affairs. Today the Chinese journalists are more prey to the manipu/ation of the emotions of the audiences than being a faithful messenger for the public. Une/er such a media environment, in case of news events, particularly, during crisis, it is not the media being scared by the government. but the media itself is scaring the government into silence. The Chinese news media have grown so negative and so cynica/ that it has produced growing popular clistrust of the government and the government officials. Entering a freer but fearful commercially mediated society, the Chinese government is totally tmprepared in engaging the Chinese press effectively and has lost its ability for setting public agenda and shaping public opinions. 

Hey Siri, tell me a story: Digital storytelling and AI authorship

2020 ◽  
Vol 26 (4) ◽  
pp. 808-823
Author(s):  
Sarah Thorne
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
News Media ◽  
Future Directions ◽  
Daily Lives ◽  
Short Films ◽  
The Future ◽  
Commercial Applications ◽  
New Applications ◽  
Applications Of Ai

Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends that seek to replace human authors with algorithmically generated narrative. While experimental works that draw on text generation and natural language processing have a rich history, this article focuses on commercial applications of AI narrative and looks to future applications of this technology. Video games have incorporated AI and procedural generation for many years, but more recently, new applications of this technology have emerged in other media. Director Oscar Sharp and artist Ross Goodwin, for example, generated significant media buzz about two short films that they produced which were written by their AI screenwriter. It’s No Game (2017), in particular, offers an apt commentary on the possibility of replacing striking screenwriters with AI authors. Increasingly, AI agents and virtual assistants like Siri, Cortana, Alexa and Google Assistant are incorporated into our daily lives. As concerns about their eavesdropping circulate in news media, it is clear that these companions are learning a lot about us, which raises concerns about how our data might be employed in the future. This article explores current applications of AI for storytelling and future directions of this technology to offer insight into issues that have and will continue to arise as AI storytelling advances.

scholarly journals When London Hit the Headlines: Historical Analogy and the Chinese Media Discourse on Air Pollution

2017 ◽  
Vol 234 ◽  
pp. 357-376 ◽  
Author(s):  
Hongtao Li ◽  
Rune Svarverud
Keyword(s):  
Air Pollution ◽  
Collective Memory ◽  
News Media ◽  
Media Use ◽  
Media Discourse ◽  
Chinese Media ◽  
Government Action ◽  
Pollution Problem ◽  
Historical Analogy ◽  
Chinese News Media

AbstractThis article analyses how Chinese media make sense of smog and air pollution in China through the lens of London's past. Images of London, the fog city, have figured in the Chinese press since the 1870s, and this collective memory has made London a powerful yet malleable tool for discursive contestation on how to frame China's current air pollution problem, which constitutes part of news media's hegemonic and counter-hegemonic practices. Although the classic images of London as a fog city persist to the present day, the new narrative centres on the 1952 Great Smog, which was rediscovered and mobilized by Chinese news media to build an historical analogy. In invoking this foreign past, official media use London to naturalize the smog problem in China and justify the official stance, while commercialized media emphasize the bitter lessons to be learned and call for government action.

scholarly journals Artificial Intelligence in News Media: Current Perceptions and Future Outlook

2021 ◽  
Author(s):  
Mathias-Felipe de-Lima-Santos ◽  
Wilson Ceron
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Vision ◽  
Science Fiction ◽  
Language Processing ◽  
News Media ◽  
Future Research ◽  
Production And Distribution ◽  
News Industry ◽  
Journalistic Field

In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, as well as planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We make conclusions by providing examples of how these subfields are being developed in journalism and present an agenda for future research.

scholarly journals Artificial Intelligence in News Media: Current Perceptions and Future Outlook

2021 ◽  
Vol 3 (1) ◽  
pp. 13-26
Author(s):  
Mathias-Felipe de-Lima-Santos ◽  
Wilson Ceron
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computer Vision ◽  
Science Fiction ◽  
Language Processing ◽  
News Media ◽  
Future Research ◽  
Production And Distribution ◽  
News Industry ◽  
Journalistic Field

In recent years, news media has been greatly disrupted by the potential of technologically driven approaches in the creation, production, and distribution of news products and services. Artificial intelligence (AI) has emerged from the realm of science fiction and has become a very real tool that can aid society in addressing many issues, including the challenges faced by the news industry. The ubiquity of computing has become apparent and has demonstrated the different approaches that can be achieved using AI. We analyzed the news industry’s AI adoption based on the seven subfields of AI: (i) machine learning; (ii) computer vision (CV); (iii) speech recognition; (iv) natural language processing (NLP); (v) planning, scheduling, and optimization; (vi) expert systems; and (vii) robotics. Our findings suggest that three subfields are being developed more in the news media: machine learning, computer vision, and planning, scheduling, and optimization. Other areas have not been fully deployed in the journalistic field. Most AI news projects rely on funds from tech companies such as Google. This limits AI’s potential to a small number of players in the news industry. We made conclusions by providing examples of how these subfields are being developed in journalism and presented an agenda for future research.

scholarly journals News from Artificial Intelligence is Believed Less

2021 ◽  
Author(s):  
Chiara Longoni ◽  
Andrey Fradkin ◽  
Luca Cian ◽  
Gordon Pennycook
Keyword(s):  
Artificial Intelligence ◽  
News Media ◽  
Political Orientation ◽  
News Item ◽  
Experimental Paradigm ◽  
News Production ◽  
Respondent Characteristics ◽  
Over Time

Artificial Intelligence (AI) algorithms are now able to produce text virtually indistinguishable from text written by humans across a variety of domains. A key question, then, is whether people believe content from AI as much as content from humans. Trust in the (human generated) news media has been decreasing over time and AI is viewed as lacking human desires, and emotions, suggesting that AI news may be viewed as more accurate. Contrary to this, two preregistered experiments conducted on representative U.S. samples (combined N = 4,034) showed that people rated news produced by AI as being less accurate than news produced by humans. When news items were tagged as produced by AI (compared to a human), people were more likely to incorrectly rate them as inaccurate when they were actually true, and more likely to correctly rate them as inaccurate when they were indeed false. These results were robust to experimental paradigm (separate and joint evaluations), news item (actual veracity, age), and several respondent characteristics (e.g., political orientation). This effect is particularly important given the increasing use of AI algorithms in news production, and the associated ethical and governance pressures to disclose their use.

scholarly journals News Media Robot: Theoretical Aspects of Intellectual System for Content Generation

2019 ◽  
Vol 8 (2) ◽  
pp. 260-273
Author(s):  
Andrey Zamkov
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Digital Media ◽  
News Media ◽  
Knowledge Engineering ◽  
Interdisciplinary Studies ◽  
Intellectual Structure ◽  
Human Intelligence ◽  
Intellectual System ◽  
Interdisciplinary Approaches

The article discusses a new phenomenon of digital media sphere, i.e. news media robots, which are capable of creating content on a technological platform of intellectual systems. Interdisciplinary approaches to understanding this phenomenon, which attract theoretical concepts and cases from artificial intelligence, knowledge engineering and natural language technologies are considered. It is stated, that in the core of intellectual systems lie computational models of natural human intelligence and knowledge. The phenomenon of imitation as a characteristic of social and technical systems general ability to self-study relying on a sample is viewed as a key mechanism media robots adaptation to social environment. The case study of generating news content within the context of frames theory is provided as an illustration of universal formalism for representation of knowledge and social actions. The structure of general human intelligence, provided by Cattell — Horn theory, is considered as a possible reference model for comparison of a robotic intellectual system with natural human intelligence. The similarity between a general intelligence structure and an “intellectual” structure of a media robot is noted. The article defines the technology of modelling a natural language as the most prospective means of broadening the verbal intellect of a media robot. It is stated in conclusion, that one can observe trends for convergence in the methodology of knowledge engineering and analytical journalism. In a long-term perspective serious progress in creating new generation of media robots requires reproduction of such human abilities, as learning and “sense” of social responsibility. For this reason joint efforts in interdisciplinary studies in digital media, artificial intelligence and cognitive sciences are required.

scholarly journals The Impact of the News Frames on Report of the 2020 Pandemic in China’s National Media

2021 ◽  
Vol 5 (2) ◽  
pp. 11
Author(s):  
Tang Hai ◽  
Zhu Zhe ◽  
Qi Lihong
Keyword(s):  
News Media ◽  
Frame Theory ◽  
Medical Community ◽  
Chinese Government ◽  
News Frames ◽  
Chinese Media ◽  
Depth Analysis ◽  
Foreign Media ◽  
Chinese News Media ◽  
The Impact

News frames is a general application of the Frame Theory in journalistic practice, and the setting of the Frame Theory in news media, to some extent, may make the news agency have more choices of the topics, more channels of the report, and more impacts on readers and audiences. It is for this reason that news media are very interested in setting up their news frame to guide their reportage. It won’t be surprised that when important affairs took place, the media set a theme for their coverage; while at the same time, audiences recognized that they are allowed to know the facts as well to evaluate the events properly. The coverage of disaster news is one of the concrete examples. However, when reading the reportage framework of the news in China, it can be seen that media would be likely to set similar frames for the focus of the report, and this potentially created complexity and difficulty in analyzing disaster news events in terms of content classification, reporting form, and news-making on effectiveness. The outbreak of the 2020 COVID-19 gathered media to work on a centralized proposal – anti-epidemic, so that textual, audio-visual contents and other forms of reporting show a diversified perspective for disaster news. This reporting from is a new challenge for Chinese news media, reflected in their practice on how Chinese government and people fought against the virus, how Chinese medical community dispatched their team to assist COVID-19 fight, and how Chinese media responded to the vilification of foreign media during that period. This paper takes three established media Hubei Daily, CCTV and China Daily as examples for an in-depth analysis.

Keep Silent, Keep Sinful: Mainstream Newspapers’ Representation of Gay Men and Lesbians in Contemporary China

2017 ◽  
Vol 24 (3) ◽  
pp. 317-340 ◽  
Author(s):  
Jiang Chang ◽  
Hailong Ren
Keyword(s):  
Critical Discourse Analysis ◽  
Gay Men ◽  
News Media ◽  
Public Discourse ◽  
Chinese Society ◽  
Traditional Values ◽  
Social Instability ◽  
News Reports ◽  
Chinese News Media ◽  
The Way

From a critical discourse analysis of all gay-related news reports in five mainstream Beijing newspapers between 2010 and 2015, this article distils four dominant categories of images of gays and lesbians represented by the news media: gays as crime victims because of their presumed inherent weakness, as violent subjects, as enemies of traditional values and as a source of social instability. This means that despite legal and official recognition of homosexuality in China, it is still tainted with sin and perversion in the mainstream public discourse. The way in which the Chinese news media and journalists construct the image of the homosexual person notably differs from that in the West. Newspapers treat gay men and lesbians separately, with the former deemed socially destabilising elements of violence and promiscuity and the latter seen as closer to ‘normal’ heterosexuals in the way they think and act. In addition, Chinese news reports almost completely silence gay people who are rarely interviewed, and the few who are see only their expressions of shame or regret published. This article discusses and interprets such discursive strategies within the specific sociocultural context of Chinese society.

Climate change in China: A study of news diversity in party-sponsored and market-oriented newspapers

Journalism ◽  
2019 ◽  
pp. 146488491987317 ◽  
Author(s):  
Ran Duan ◽  
Serena Miller
Keyword(s):  
Climate Change ◽  
News Media ◽  
Global Climate ◽  
Scientific Uncertainty ◽  
Chinese Media ◽  
Media Frames ◽  
Multiple Viewpoints ◽  
Media System ◽  
Media Ecosystem ◽  
Chinese News Media

Chinese news publications potentially play a crucial role in mitigating global climate change. Presently, the majority of scholars treat the Chinese news media system as one single entity. We expect, however, Chinese party-sponsored and market-oriented newspapers differ in their representation of climate change. Using the conceptual framework of news diversity, we examined how Chinese journalists reported on climate change by examining their use of media frames, source types, and multiple viewpoints in news articles. The results revealed that market-oriented newspapers were indeed significantly different by including more diverse viewpoints, conflict frames, and environmental nongovernmental organizational sources, while party-sponsored newspapers employed more domestic political, science, and scientific uncertainty frames. The results suggest that researchers should be cautious about generalizing past findings to the entire Chinese media ecosystem because it is unique, diverse, and complex.

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