Business Consulting: Allen Xiaoming 13788992981

欧洲杯app share

Research summary of artificial intelligence technology in the field of news communication in China

Published Date :2021-02-24


With the continuous progress of artificial intelligence theory and technology, artificial intelligence technology is entering all aspects of news communication production。The application of artificial intelligence technology in the news and communication industry in China started late, but it has developed rapidly with the strong support of the state and the government.Artificial intelligence technology basically covers the whole process of news communication production from information collection, content production, product distribution, to user acceptance and training[1]。Peng LAN believes that artificial intelligence technology has been fully applied in several major aspects, including user platform, news production system, news distribution platform and information terminal, and has different impacts on all aspects of news production[2]

We focus on key words such as "intelligent media", "development application", "trend and impact" and "acceptance of artificial intelligence" related to this research,Systematic search was carried out on CNKI, Wanfang database, National Philosophy and social science academic journal database, SCI, EI, LISA, JSTOR, ProQuest and other databases。The relevant research results of this study are reviewed。

一. Research on the application of artificial intelligence technology in information collection

The combination of artificial intelligence technology and big data technology has greatly expanded the means and channels of information collection。With it,The concept of sensors has gradually entered the field of news production, and has gradually become the focus of researchers。The concept of the news and communication industry sensor originated from the United States, the sensor is a monitoring device, can feel the measured information, and can be converted into electrical signals or other forms of output according to a certain law, in order to complete the recording, transmission, storage, display and control of information。In essence, a sensor is a way to collect data information[3]。The use of sensors in journalism helps us investigate things we can't see, hear or touch, and these tools provide us with new senses[4]。Xu Xiangdong[5]After the research, it is found that the sensor application practice of the American news industry mainly has the following three aspects: First, the use of existing commercial equipment to design their own sensing system;The second is to collect data from existing sensing resources of government departments or public facilities;The third is to design a prototype sensing system for data production。At present, major media in the United States mainly collect news sensing data in the following five ways: Collect data through public facilities;"Crowdsourcing" data collection;The media collects data directly with the sensor;Obtaining sensing data from government agencies;Using drones to collect sensor data。From the practice of American journalism, we can conclude that sensor news has the following characteristics: quantitative collection and processing of news information;Sensor data is easier for computers to interpret than other data;The collection of sensor data is increasingly being "crowdsourced"。Combined with foreign experience, from the specific practice,There are three main ways of combining sensor and news production in our countryFirst, use the existing and mature commercial equipment on the market to design their own sensing system;The second is to obtain the required data from the existing sensing resources;The third is to design prototype sensing systems to produce data[6]

彭兰[7]Advocates for understanding the significance of sensors to journalism from two perspectives:Sensors as news sources and sensors as news feedback mechanisms。As a news source, sensors can greatly improve and expand the dimensions of news perception and information collection.It can predict the future development trend and provide a new basis for predictive reporting.The individual needs of the audience can be fed back to the news producer,The "customized" production of news;The news feed has been greatly expanded,Everything is medium,It reduces the mediating significance of the media。As a user feedback mechanism, sensors can deepen user feedback from the opinion level to the physiological and psychological level through smart wearable devices。This brings media user research to a more precise level。In turn, these accurate user feedback may become a new source of news, bringing a new round of news production。

Learned man[8]It is believed that smart devices represented by sensors can automatically capture, process and analyze data, to some extentMake news closer to reality driven and public opinion driven。This allows journalists to find macro, significant and hidden connections in a range of data, and find newsworthy clues that are easily overlooked。This undoubtedly expands the source of news, from the one-sided and limited way in the past to the multi-dimensional and unlimited source in the future。On the one hand,Many sensors in government and public areas collect environmental data,Monitor temperature, weather, traffic, etc,The application of these data helps the media to better play the role of social supervision and public service;On the other hand,The use of sensors to collect users' psychological and emotional feedback information,It helps the media to adjust the way of news reporting to meet the needs of users as soon as possible,At the same time, the collected user data becomes a new message source,For news production。

Yu Guoming[9]The combination of sensors and artificial intelligence mentioned in the study is already being used in concrete practice。The artificial intelligence platform "Media Brain" released by Xinhua News Agency is to make AI-based content production good at predicting developments and demand construction through the delicate analysis of cameras, sensors, drones, driving data and value mining。With the aid of intelligent acquisition equipment such as recorder, combined with multi-dimensional data near the news place, automatic detection of news events, automatic generation of data news and rich media information。Let the camera and a variety of sensors become the eyes of reporters, in the capture and generation of emergencies and major events, a step faster, automatic generation。In effect, it's sensor news combined with artificial intelligence。As you can see, sensor newsThe dimension of information collection is expandedTo make up for the limitations of human observation by the senses。Yu Guoming[10]And other scholars said in the study,In the time dimension,Sensors pick up information that doesn't just describe the present,It can also predict the future,Because the data detected by the sensor is constantly changing,It can reflect the dynamics and trends of the monitored object,These characteristics cannot be obtained by traditional media through traditional information collection channels。From the perspective of space dimension, the information obtained by the sensor is not limited to a certain area, but also can be extended to a more macro scope, and it can use a broader perspective to understand the whole picture of the event。

Through literature review, it is found that the current academic research on the application of artificial intelligence in information collection focuses on sensor news and data news。The combination of sensor news, data news and artificial intelligence greatly broadens the channels and methods of information collection, and deepens the depth and breadth of things detection, which is difficult to reach the original information collection methods of traditional news communication industry。However, as far as the current research is concerned, most of it focuses on the theoretical research field, and there are still some deficiencies in the practical directions of specific technology supply and demand, effect embodiment and foresight。At the same time, with the continuous innovation of voice interaction technology, graphic interaction technology and other technologies, there is relatively little exploration of the application of emerging artificial intelligence technology in the news communication industry。

二. Research on the application of artificial intelligence technology in content production

The continuous innovation of artificial intelligence technology has brought great changes to the news and communication industry, and artificial intelligence technology has entered the field of content production.To make efforts in the editing and production of news, "machine writing" and "automated news" came into being。As a practical representative of the application of artificial intelligence technology in the news and communication industry, machine writing has become the focus of attention of many scholars。

Robot news, also known as automated news, refers to the use of algorithms to automatically process the input or collected data, and rely on computer programs to automatically generate "finished" news reports。According to news reports, China's large-scale practice of "machine writing" began in 2015, and related research is almost parallel to specific practice。Lin Chufang[11]By introducing the data analysis and processing capabilities of Toutiao and personalized customized services, it shows the possibility of personalized and enriched news content production with the help of machine writing。Hu Yu, Yuan Jiechun[12]It indicates that machine writing has been widely used in news production practice, especially in data analysis fields such as finance, sports, and meteorology。

Yu Guoming[13]Had been mentioned in earlier studiesMachine writing has brought great adjustments to the content production of the news communication industry, focusing on four aspectsFirst, accurate and rapid production of dynamic news information;The second is deep learning based on corpora,To realize the closeness of news narrative language and the diversity of news narrative style;The third is the automatic induction, sorting and filing of massive news information content and the reasoning and judging of the reliability of information sources combined with expert knowledge base;The fourth is to realize vertical mining and horizontal connection of news time based on big data mining and natural language processing technology,The picture of the objective world is presented comprehensively and three-dimensional。同时,With the application of machine news writing, the role of journalists has changed in two aspectsFirst, it is free from repetitive and complex trivial work and can devote more energy to in-depth reporting;The second is to focus on building an emerging news dissemination platform that can fully absorb multiple news sources。Yu Guoming[14]Put forward, under the trend of intelligent development of the Internet,Machine writing exhibits the following characteristics: Machines work efficiently and 24/7,Brought a lot of news;Quick response, second speed of submission,Especially when it comes to emergencies,While human journalists are still in shock,Robo-writers have quickly completed the data description and analysis,And further data value mining, and finally quickly complete the whole process of automatic writing,Draft speed in seconds,The human race is far behind;Machine writing can produce relevant news content based on user preferences,It can also provide customized products that match the user's personal life scenario,It doesn't just produce a product,It can also be distributed to users in the right place, in the right scenario and in the right form。On the other hand,User portraits will also promote the media's understanding of users,Make the media operation more personalized and refined,Achieve thousands of faces, accurate arrival,Effectively occupy the long-tail market and niche market that the traditional media market cannot activate,It greatly provides technical support for the new profit model,This is also not possible with traditional content distribution methods。Driven by artificial intelligence technology, robots join the camp of news producers, accelerate the speed of news production, increase the content of news production, eliminate man-made technical errors, improve the quality of news, and reduce the cost of writing[15]。Simultaneous scholar[16]Also mentioned in the studyAccurate presentation of news facts by machine writing。Many times, it is difficult for reporters to verify all the information and verify the authenticity。The application of automation technology solves the problem of reporters verifying the authenticity of news sources, and reporters can find out the false evidence and perjury of news events and news personalities with the help of data analysis, and dig out news points。As long as there is no deviation in the programming process of programmers, the quoted data sources are real and reliable, and the news writing robot that talks with data can avoid the inaccurate news caused by the bias of the position, and ensure the objective and fair news to the maximum extent。

There are also scholars on robotsThe deficiency and negative function of news writingthink。Kuang Wenbo[17]It is believed that "robot writing" has a strong advantage in content production, but the content it producesLack of "temperature"。In fact, news works should have both thought and quality, but also have temperature。Although robot writing improves the quantity and depth of news, there is still room for development at the level of news temperature。As machine learning technology continues to advance,Machine news writing technology is also evolving,Yu Guoming and many other scholars have mentioned in the study,At present, the degree of anthropomorphism of machine news writing is deepening,Supported by a lot of data,The machine reads massive text and analyzes text structure,It is possible to consciously imitate a certain style in news writing。Machine news writing is trying to shed its mechanized, metalized label。

Benjamin Franklin[18]Also expressed concern about machine news writing, heTwo experiments are carried out through the expectation breach theory and the main model, which prove that machine authorship is profoundly affecting the credibility of news. It is believed that attributing the rights of news products to machines will make news less credible

Yu Guoming, Yao Fei[19]Mention the present in the researchAi technology can be mastered in two ways: Institutional mastery and personal mastery。At present, the achievements, means and technologies of artificial intelligence are more in the hands of institutions, such as Baidu and Xinhua News Agency。At this stage, the use of artificial intelligence requires a lot of manpower and material resources, and individuals can not meet the corresponding requirements。So organizations using AI for writing, transmission, and resource allocation must be clear about what AI can and can't do。When AI technology penetrates downward to the point where ordinary people can master it, more professionals will be needed to balance the structure of content rather than produce it。In short, with the development of artificial intelligence technology, more professionals are needed to provide more balance mechanisms for the expression boundaries, openness and aggregation of content。

In addition, it is worth noting that most of the current research needs to be strengthened in the practical theoretical sublimation part。In addition to robot writing, with the development and innovation of intelligent speech recognition technology, graphic interaction technology, intelligent translation technology, and human-computer interaction technology of social robots, social robot interview, multilingual translation, intelligent recognition of news scene elements and other technologies developed from this have successively entered the field of news communication[20]But unfortunately,At present, the research on these emerging technologies in domestic literature mostly stays in the stage of brief introductionLack of specific, in-depth and all-round research。

三. Research on artificial intelligence technology in news information product distribution

In recent years, with the rise of algorithm-first content platforms like Toutiao,The core of product distribution is gradually shifting from editorial distribution to algorithm distributionAnd brought about an algorithmic revolution in product distribution。Scholars' researches on algorithms mainly focus on the following aspects: the technical interpretation of algorithm mechanism, the reshaping of algorithm on journalism, and the neutrality and value of algorithm technology。

姜红[21]It is believed that algorithms have brought great impact to traditional journalism, which is embodied in the algorithm's transformation of traditional journalism The role of "gatekeeper" has shiftedOn the machine, it deconstructs the value selection criteria of traditional news and the "publicity" of news.。Fan Hongxia, Sun Jinbo[22]指出,Algorithms permeate every aspect of data news production,For example, string search algorithm in data search and collection, news cluster analysis based on K-Means algorithm in data aggregation and integration, data mining algorithm - shopping cart theory and FP tree association analysis, data recommendation algorithm and prediction model - collaborative filtering recommendation and potential factor recommendation。Algorithms have revolutionized traditional media,Media transition from "information dissemination" to "knowledge dissemination"Algorithms replaced agenda-setting and began to influence public opinion。

Yu Guoming[23]Some scholars have proposed that artificial intelligence technology is an algorithm model, and the degree of "intelligence" of this algorithm model depends on computing power, big data, and the algorithm model The "Trinity" quality。同时The social nature of algorithms is a form of power。The research mentions that data and algorithms are reshaping the entire journalism ecosystem, and the power relations implied by algorithms themselves are also evident in the whole process of news communication:一是The diffusion of the right to information in the acquisition of news clues。With the application of algorithms in news sources, the production and dissemination process of news has gradually shifted from the previous centralized to distributed, that is, multiple subjects are jointly involved in the reporting, comment, analysis, information processing and further interpretation of a certain topic in a certain mode。The transformation and popularization of this paradigm benefit from artificial intelligence technology. Under the influence of technology, the participants in the distributed news production process even extend to objects。二是In news writing and editing, algorithms threaten traditional gatekeeping power。When the algorithm becomes a widely recognized news source outside traditional media and government through the capture of various data, it has the ability to influence the formation and expression of public opinion and social emotions, and the social control ability of traditional media is weakened。The algorithm can even make the public deviate from the facts in the "information cocoon" woven by their own will, weaken their rational judgment, and thus realize the consciousness manipulation of the public。三是Algorithms build 'social consensus' through non-institutional power。The algorithm can express, record and value mine individual demands anytime and anywhere through big data, and connect and analyze these data to build an unprecedented platform for social public opinion。四是The all-encompassing communication power of big data building algorithms also leads to a new round of "narrowing" of its communication results.。五是In the audience reception, equality and differentiation produce a paradox - the algorithm realizes the new limitation of human freedom in the way of "riding"。Under the power paradigm of this algorithm, users are equally endowed with the identity of network subjects, and they are empowered and empowered。But at the same time, the algorithm technology also defines people's perception of the world and its freedom to a considerable extent, that is, it frames our horizon, profoundly affects our understanding and presentation of the self, and has penetrated into our living space。

At the same time, based on the characteristics of the algorithm, many scholars have also paid attention to it in the research processThe problem with algorithms。The personalized algorithm will cause the "information cocoon" and "echo chamber" effect, causing a kind of information isolation for users, so that users can not have a full perception of the external environment。尚帅[24]It is pointed out that the algorithm, as a technology and power, potentially and secretly controls the user, and turns this control into the symbolic violence that people are unaware of。A surname[25]It is believed that the algorithm mechanism may produce algorithm censorship, information manipulation and platform bias under the current social conditions, thus affecting the audience's attitude。

With the continuous expansion of the field of artificial intelligence and the emergence of new technologies, some scholars have shifted their vision toNew technology, new products and news communication contentAt first, the governance of rumors and the monitoring of public opinion by artificial intelligence began to enter the field of vision of researchers。Yu Guoming[26]Taking the NLP team of Damo Institute of Ali Company based on big data and artificial intelligence technology launched an intelligent rumor-refuting product named "rumor crusher" as an example, introduced its working principle, and put forwardThe application of artificial intelligence technology in the governance of network rumorsIt can at least include the following aspects: First, the formation of a social promotion mechanism for rumor prevention。Through corresponding big data computer modeling, technical suggestions for preventing rumors can be put forward, as well as educational countermeasures for rumors governance involving the public。The second is to build a rumor prediction model library. Based on audience reaction behavior data, a model library with automatic rumor identification and prediction can be built and improved for practical operation。The third is to summarize the mechanism and law of rumor evolution, and form a governance plan: that is, with the help of computer simulation technology, explore the generation, dissemination and dynamic evolution law of mass users' audience responses, and explore the governance countermeasures and effect evaluation of different network structures and different intervention strategies。The fourth is to build a credit rating database of rumormongers, rumormongers and easy to believe rumorers。The governance of Internet rumors is fundamentally the governance of people,You need to think about targeting and precision,According to the role and status of the rumor spreading chain,It can be divided into rumormongers, rumormongers and rumormongers,And to carry out the communication credit rating evaluation,Early warning of accounts with low credit ratings,Once the user clicks on its spread of information,Automatic warning prompt。Fifth, make full use of the delay in the spread of rumors, and change the "fire extinguishing" after the event to prevent in advance。Some studies have shown that the spread of Internet rumors from core areas to marginal areas and from core groups to marginal groups has a time cycle, about 1 to 3 days。Network rumors need to grasp the propagation delay period, cut off the propagation path early, and realize the early warning of network rumors。

Zhang Zhian, Tian Li and other scholars have also discussed artificial intelligence in their respective studiesPublic opinion monitoringRelevant content of。Zhang Zhian[27]Focusing on the opportunities and challenges brought by artificial intelligence to news and ideological work, he believes that artificial intelligence can exert its power in the following aspectsIt brings opportunities for news, public opinion and ideological workFirst, enhance the strength of mainstream information dissemination, promote the integration and development of traditional media and emerging media, and ensure that the content of mainstream media always has the cornerstone of advanced communication power by relying on rapid feedback, flexible interaction, accurate matching and personalized services。The second is to improve the accuracy of mainstream information dissemination. Through big data analysis and artificial intelligence push mechanism, mainstream media can push more intelligent and targeted current political content for specific groups concerned about public issues, so as to improve the pertinence and accuracy of public opinion guidance。Third, to improve the validity of mainstream information dissemination, using new data, new work and new methods to guide the work practice in the field of news and public opinion and ideology can improve the effect of public opinion monitoring and ideological guidance。At the same time, the application of artificial intelligence also brings challenges to news and public opinion and ideological work,For example, the current application scenarios of artificial intelligence in the field of news communication are more emotional and practical,Can not promote the cultivation of public consciousness of the audience;The information recommendation based on artificial intelligence is more for the perceptual needs of people,Information consumption is mainly based on sensory stimulation or the satisfaction of practical needs,It is easy to cause excessive entertainment and fragmentation of news consumption and cyberspace,Even vulgarization,Reduce public attention to serious news and mainstream news;In addition,The "echo chamber" effect of social network communication,Information spreads in closed circles,The "information cocoon" intensifies social division,Thus, it is not conducive to the integration of mainstream ideology,等等。Liu Dehuan, Li Xuelian[28]"The significance of big data is not only to improve the way we show news, tell stories, push ways, etc., if you think that this is the meaning of data for news, it is to give up the trivial, buy the casket.。” 田丽[29]The paper discusses the emergence of AI like comment system based on machine learning and its challenge to public opinion monitoring system, and puts forward corresponding countermeasures。

Through literature review, it is not difficult to find that algorithmic research occupies the vast majority of content distribution in the news communication industry, even if there are discussions on rumor governance, public opinion dissemination, and public opinion monitoringLimited to the impact of macro artificial intelligence technology, it can rarely touch the application mechanism, trend judgment and other micro content

四. Research on the application of artificial intelligence technology in user acceptance and feedback

In the process of literature review, it was found that there were relatively few direct studies and discussions on artificial intelligence technology in terms of user acceptance and feedback。There is much discussion at presentFocuses on the impact of AI technology on audiencesArtificial intelligence technologyTerminal applicationUser feedbackAnd other aspects。

彭兰[30]It is considered that the intelligent algorithm distribution mode is solvedThe connection between people and contentThe enhancement of "computing power" in terms of personalization, scenization, and relationalization helps to stimulate the new needs of the audience, accurately locate the needs of the user, break the shackles of the "information cocoon", promote the audience's attention to public topics, and enable them to find a sense of social belonging again。Meanwhile, Penland[31]It is also proposed that the application of artificial intelligence technology in information collection and content distribution has contributed to the integration of audience "production - consumption", especially after the rise of social media, content consumption and content production have gradually integrated。

Intelligent terminal equipment may be the most direct connection between artificial intelligence technology and the audience, and this part of the research is mainly focused onNews experience, that is, the application of VR/AR technology in the field of news communication。In the past year or two, with the development of intelligent speech recognition system and human-computer interaction technology,Smart speakerBegin to enter the scope of the researchers' discussion。

VR/AR and other technologies will shape a new sense of news presence for people。VR/AR can create a sense of experience that allows users to directly "arrive" at the scene in three-dimensional space, allowing users to immerse themselves in the scene in 360 degrees。The observation and feeling of users in the field are more dependent on their subjective interests and cognitive needs, and less restricted by the traditional camera and director perspective[32]。Yu Guoming[33]It is proposed that VR news will be from the aspects of news production mode, news presentation mode and news transmission and receiving relationshipComprehensively construct the new media environment。杨曙[34]It is pointed out that the current VR news production has defects, immature equipment, long production cycle, immature content development of VR news, and deep interactivity of news bring certain ethical problems[35]。Voice-controlled intelligent media with artificial intelligence as its core is booming and has become one of the most eye-catching artificial intelligence media at present。Key features such as voice control and human-machine dialogue provide a new content distribution channel for the news media industry, and its representative products include Amazon Echo, Google Home, Apple HomePod, and so on。As its core technology, intelligent voice control has a more far-reaching application prospect,Intelligent voice assistants represented by Amazon Alexa, Google Assistant, Apple Siri, Samsung Bixby, etc., are widely used in many daily necessities and life scenes such as smart phones, household cars, TV sets, microwave ovens and refrigerators。Due to the current level of technology and copyright restrictions, voice-controlled intelligent media represented by smart speakers can provideNews products: Newsletters, radio broadcasts, interactive Q&A and interactive experiences。Its application is far less frequent and widespread than expected。The development and consumption of news products based on voice-activated intelligent media is still in its infancy, and the existing intelligent voice news products and services still have various shortcomings, and the technical support of the platform still has some room for optimization and improvement。However, this does not prevent the further integration of artificial intelligence technology and news communication industry in the future, the new voice-controlled intelligent media has become a new breakthrough point and growth point。

In terms of user feedback, in addition to specific applications such as AI likes mentioned earlier,Intelligent review management systemMake one's mark。The New York Times is a pioneer in intelligent technology management commentary。2015 年,The New York Times has partnered with Google-owned Jigsaw on The Coral Project.,The algorithm is used to classify different users,This determines which user comments can be posted without human review,It also prioritizes the presentation of comments。Yin Le, Zhu Doudou[36]Take smart speakers as an example,Through the introduction of the use of smart speaker features,It shows the breakthrough of artificial intelligence technology in sound media: First,Break through the limitation of media form,Move easily between media formats,Text, audio, picture conversion,"Artificial intelligence + audio" breaks the original audio ecology。Secondly, breaking through the traditional audio industry relationship and accelerating cross-border cooperation, intelligent audio terminals are widely used in various devices, and precise push is favored by advertisers, accelerating the cooperation between intelligent audio companies and upstream and downstream companies。The third is the deepening of human-computer interaction. The outbreak of intelligent terminals and intelligent assistants has directly promoted the deepening of human-computer communication, making personalized recommendation the distribution method of the main podcast push, and realizing new forms of human-computer interaction such as intelligent question-and-answer, on-demand listening, and human-computer direct dialogue。

Through combing, it is not difficult to find that such research involves a relatively simple direction, yesThe technology is mostly descriptive introduction, and there are few discussions on macro impact, development trend and micro specific application。Liu Dehuan and Li Xuelian mentioned in their research: "Data processors and some academic experts use robotic data to do frequency table and interactive table analysis,And that leads to some really beautiful looking graphs and statements,These descriptions are characterized by their directness, simplicity, and rapidity,With its visualization and convenience for a time brings a fresh and powerful feeling...Data, no matter what it achieves in terms of breadth, depth, and scope, is just a commercial adjunct,It can't have real scientific connotations,It has a substantial impact on scientific research and theoretical innovation。”[37]

五. Research on the application of artificial intelligence technology in various specific fields of news communication

The combination of artificial intelligence and media, the integration of man-machine collaboration has deepened, and the integration of technology, industry and people has begun to emerge。彭兰[31]认为,Intelligent technology is entering the content industry,And make content production, content distribution and consumption comprehensive upgrade,It is manifested as the content production upgrading driven by intelligence, the content distribution upgrading with algorithm as the core, the content consumption upgrading with personalization and socialization interweaving, and the integration of consumption and production,Then gradually build a new content ecology。Fan Yijin[38]It is believed that the application of artificial intelligence by commercial Internet enterprises is ahead of the professional media。Professional media organizations are paying close attention to this situation, and conducting layout and actively looking for development paths。Academia and industry will2018 is seen as the arrival of the era of intelligent media

In the field of radio and television, artificial intelligence is applied to broadcasting and hosting, radio and television monitoring system, radio and television media capital system and other directions。The artificial intelligence anchor can work all day long, the working time and place are not restricted, there will be no verbal errors and forgotten words, and its big data collection and integration ability is far better than that of humans。Learned man[39]It is pointed out that the application of artificial intelligence technology in TV media will achieve a breakthrough in the content and form of TV programs, and promote the transformation and upgrading of TV media。He Yanqiu[40]Through the introduction of the current voice interaction technology, voice interaction mode and the framework of radio and television monitoring system, the application of the artificial intelligence technology of voice interaction in radio and television monitoring system is explained。Research holds that,The application of voice interaction in radio and television monitoring system can improve the work efficiency of frontline staff,It also reduces the trivial operation process,It integrates different monitoring manufacturers and integrates and optimizes the unified interface of different monitoring systems,The large, complex and diversified monitoring system is easy to operate, easy to use and quick to respond。Wang Zhiming[41]The key technologies of speech recognition, face recognition and optical character recognition used in radio and television are analyzed in detail, and these artificial intelligence technologies are introduced in the way of examplesRadio and television media capital systemApplication of。

Through combing the above relevant research results, it can be seen that domestic artificial intelligence technology has relevant research results in all dimensions of the news and communication industry, which can be summarized as follows:

  • First, the academic community maintains a high research sensitivity to artificial intelligence, but due to the complexity and uncertainty of the technology itself, the reflection of the field of humanities and social sciences can only focus on relatively explicit realistic issues。The research generally follows the perspective of "technology status - impact - countermeasures and suggestions"
  • Second, domestic scholars' researches on artificial intelligence in the news and communication industry focus on several topics such as robot writing and algorithm researchMost of them focus on practical application, lack of theoretical combing of related issuesPresents the problem of single perspective and concentrated theme。
  • 第三,The research on media audiences under the influence of artificial intelligence technology is only limited to topics such as the sense of presence brought by the progress of artificial intelligence terminal technology equipment, the thousands of faces of algorithm push, precision strike, and the negative impact of precision push on the "information cocoon",It ignores the acceptance degree, feedback and consumption of artificial intelligence technology by the audience as the recipient。在Audience researchThe current results are mostlyToo macro and generalLack of detailed and micro audience analysis。
  • Fourth, the specific display of artificial intelligence technology focuses on algorithm push and robot writing, but the latest related intelligent speech recognition, intelligent translation, picture, text, sound interaction and other technologies are only roughly mentioned in the latest research results.There is a lack of relevant research on its current development status, prospect and possibility


[1] Xu Xiangdong, Deng Pengzhuo. Foreign News coverage in the era of Artificial intelligence [J]. International Communication, 2019(06):65-67. [2] 彭兰. The vanishing boundaries of the media industry [J]. News and Writing, 2016, (02):25-28. [3] Xu Xiangdong. Application of sensors in data journalism [J]. Journalism and Writing, 2015, (12):70-72. [4] Angela Washeck, Tow Report:As Sensor Journalism Rises, Guidelines Needed, June25, 2014, [5] Xu Xiangdong. New model of news production in the era of Big Data: Concept, Practice and Thinking of Sensor news [J]. International Press, 2015(10):107-116. [6] Xu Xiangdong. Trends, Norms and Localization: Research on the production practice of Data News in the era of Mobile Communication [J]. News Enthusiast, 2017(12):20-23. [7] 彭兰. Redefinition of news production under the trend of mobile and intelligent technology [J]. News Reporter, 2016(1):26-33 [8] 曹彦. Reform and reflection of news Communication under the trend of intelligence [J], 2017(08):77 [9] Yu Guoming. The rise of artificial Intelligence and the reconstruction of news communication [J]. Educational Media Research, 2018(01):95-96. [10] YU Guoming, LAN Meina, Li Wei. Intelligence: The Core logic of future communication model Innovation -- On the Basic operation paradigm of "Artificial intelligence + Media" [J]. News and Writing, 2017(03):41-45. [11] Lin Chufang. Toutiao how to play big data [J]. Journalism & Writing, 2015(11) [12] Hu Yu, Yuan Spring Festival. Application of Artificial Intelligence Technology in Media Field: A Case study of Intelligent Voice Technology [J] [13] Yu Guoming. Machine news writing drives new changes in media [J]. News Gathering and Editing, 2015(06):26-27. [14] Yu Guoming. The rise of artificial Intelligence and the reconstruction of news communication [J]. Educational Media Research, 2018(01):95-96. [15] YU Guoming, LAN Meina, Li Wei. Intelligence: The Core logic of future communication model Innovation -- On the Basic operation paradigm of "Artificial intelligence + Media" [J]. News and Writing, 2017(03):41-45. [16] 白龙. The Application of News Writing Robots in American Journalism [J]. Young Reporter, 2016(05):99-100. [17] Kuang Wenbo. Will journalists be replaced by robots? [J]. Journalism and Writing, 2017(09):59-62. [18] Waddell, TF. A ROBOT WROTE THIS? How perceived machine authorship affects news credibility[J]. Digital Journalism, 2018, 6(2): 236-255. [19] Yu Guoming, Yao Fei. Media Reform and Development under the paradigm of Artificial Intelligence Technology -- An Analysis of the logic of future media technology innovation [J]. Press & Media, 2017(01):39-43. [20] 彭兰. Mobile, social and intelligent: Three paths of traditional media transformation [J]. Press & Media, 2018(01):35-41. [21] Jiang Hong, Luhrmann. Reshaping the "Medium" : The news "algorithm" in the Network of actors [J]. News Reporter, 2017(4):26-32. [22] Fan Hongxia, Sun Jinbo. Algorithm Revolution and future trend of data journalism [J]. Modern Communication, 2018(5):131-135. [23] Yu Guoming, Yang Yingying, Yan Qiaomei. Algorithm as Power: The Power Revolution of Algorithm Paradigm in News Communication [J]. Friends of the Editor, 2018(05):5-12. [24] 尚帅. The interest bias of Communication and the Unconscious symbol Violence: A study on the algorithm control based on Toutiao [J]. Modern Communication, 2018(10):58-62. [25] Fang Shishi. How Algorithms are reshaping Journalism: Status quo, Problems, and Regulations [J]. Journalism and Writing, 2018(9):11-19. [26] Yu Guoming. AI "Rumor Crusher" : From principle to effectiveness [J]. Modern Audiovisual, 2019(02):87-88. [27] Zhang Zhian. The Impact of Artificial Intelligence on News, public opinion and ideological work [J]. People's Forum · Academic Frontier, 2018(08):96-101. [28] Liu Dehuan, Li Xuelian. Big Data reshaping journalism [J]. China Publishing, 2017(5) [29] 田丽. Analysis of the current challenges and countermeasures of network public opinion communication [J]. Information Security and Communication Security, 2018(04):36-37. [30] 彭兰. Enhancement and Restraint: New Productive forces in the era of intelligent media [J]. Journal of Social Sciences, Hunan Normal University, 2019, 48(04):132-142. [31] 彭兰. New Content revolution in the Age of Intelligence [J]. International Press, 2018, 40(06):88-109. [32] 彭兰. Better journalism or worse journalism?-- New challenges for the media industry in the era of artificial intelligence [J]. China Publishing, 2017(24):3-8. [33] Yu Guoming, Zhang Wenhao. VR News: The reconstruction of news media format [J]. News & Writing, 2016(12):47-50 [34] 杨曙. Defects and future development of current VR news production [J]. Chinese Reporter, 2018(3):93-95 [35] Shi Anbin, Hu Yu. Voice-controlled intelligent media and News communication: Current situation and prospect [J]. Young Reporter, 2019(01):77-80. [36] Yin Le, Zhu Doudou. Intelligent Development of sound media -- New terminal, New application and new relationship [J]. China Broadcasting, 2019(04):31-35. [37] Liu Dehuan, Li Xuelian. The Dangerous trend of data Ecology and the possible space of Data Science -- on the current situation and problems of China's market research industry [J]. Modern Communication 2016. 1 [38] Fan Yijin. Application analysis of Artificial Intelligence in media [J]. News and Writing, 2018(02):60-63. [39] Zhang Lanshan, Huang Plateau. Opportunities and Challenges brought by artificial Intelligence technology to TV media [J]. China Television, 2018(07):52-55. [40] He Yan-Qiu. Application of Voice interaction in Radio and Television monitoring system [J]. Radio and Television Information, 2019(07):45-48. [41] Wang Zhiming. Application of Artificial Intelligence in Radio and Television media assets system [J]. Cable Television Technology, 2019(07):22-26.

This article was published in the China Reporter, No. 3, 2020。

Author Information:

Liu Dehuan is a professor and doctoral supervisor at the Institute of New Media, Peking University. His research interests include mobile Internet, market and media analysis, data analysis and data mining.

Wang Yan and Meng Yanfang are PhD candidates at the Institute of New Media Studies, Peking University。

Don't hesitate to contact us!

Contact us