Reply in the background with 【瓦家择校】: Get the “Summary of Exam Questions for Mainstream Journalism Institutions” Reply with: “25 Public Welfare Group” “25 Graduate School Entrance Exam” Or add the assistant: Puff waluojia54 / Sweet Lotus waluojia59 Join the 25 Graduate School Entrance Exam Group
What has been the hottest topic in academia in the past two years? Undoubtedly, it is AIGC. This year, Sora has become popular, adding fuel to the fire. However, with the vast number of topics related to AIGC, where should one start? Professor Wang Jianlei from Shenzhen University’s “AIGC and Integrated Media Production: Empowerment, Complementarity, and Boundaries” might be your first paper!
Content:AIGC’s characteristics of fast production speed, 24/7 production, autonomous production, and content diversity align perfectly with the requirements of integrated media production. Logically, AIGC can empower the entire process of planning, production, and dissemination, bringing more possibilities for the future development of integrated media.Firstly, from the perspective of production entities, the core processes of integrated media production can be entrusted to AI: as long as existing materials are imported, AI can automate the processing of copywriting, voiceovers, videos, etc., improving efficiency and outputting high-quality works. In this process, the collaboration between journalists, editors, and AIGC will lead to a vertical news co-production model, achieving “full-process” and “full-participation” dissemination across all media.Secondly, from the production process, AIGC’s ability to autonomously generate content allows it to autonomously collect materials and creatively reorganize and process them for reasonable channel distribution. This aligns with the requirements of “full-media collection, shared platform production, and multi-channel release” in a central kitchen, enabling AIGC to assist in the construction of central kitchens, making media transformation smoother.Thirdly, regarding production content, AIGC has advantages in stable and continuous content output, such as the stability of AI-written language, the accuracy of digital calculations, and the correctness of written text, which surpass human capabilities. Additionally, virtual hosts do not experience expression errors, lack of energy, or emotional fluctuations. This can reduce repetitive work for journalists, allowing them to invest time in interviews and interact with subjects to analyze their complex emotions, making the news production process more flexible and agile. Errors in news caused by time pressure can be further reduced.Fourthly, in terms of content quantity and form, AIGC’s proactive production method continuously refreshes the flow and scale of information, especially as the difficulty of applying AI decreases, content output will become more accessible. The content generated autonomously, combined with the content people interact with, will greatly enrich traditional media’s content production, filling the gap of singular media content production. In the future, AIGC’s content will cover various formats such as text, voice, code, images, videos, and robotic actions, and can automatically change its content form according to different audience needs. This will help traditional media solve the problem of “one-size-fits-all” and truly meet user needs, enabling customized production.Fifthly, regarding media services, AIGC not only produces content but also possesses capabilities in information collection and connection, knowledge extraction and summarization, and automated copywriting production. This enables it to have great potential in areas outside of news production, such as government affairs, services, and business. Currently, the media itself also needs to achieve service transformation. The two can be said to be a perfect match, as traditional media can use AIGC as a foundation for future intelligent platforms, complemented by its talent and channel advantages, breaking through traditional content boundaries to achieve true “news +” and “intelligence +” media.However, it is important to note that while AI may replace technical divisions of labor in traditional integrated media production, it cannot exceed the subject boundaries of news editorial departments. AI can significantly reduce the workload of certain positions or even replace some roles, but the “guiding person” cannot be replaced. The application of AI and integrated media production needs to maintain a long-term relationship of complementarity, cooperation, and synergy, forming a deep bond rather than substitution between subjects. Integrated media production is always a content practice that prioritizes humanistic care and social value, and the media should focus its energy on areas beyond the capabilities of AI, such as planning and producing news with higher standards, greater difficulty, and richer value. Integrated media organizations should always guide AIGC dissemination with humanistic values, infusing AI with warmth and height, continuously strengthening connections between people, enhancing the transmission of public value, and reflecting the media’s value commitment and humanistic care through the power of AIGC.
The main event is here, the question closely related to AIGC and generative artificial intelligence can be said to be last year’s “hot topic king”, with half of the new journalism universities testing this knowledge point last year, and the other half will likely test it this year. In the field of AIGC, this question can be considered a fundamental question that must be mastered. Furthermore, there will be many new variations on it:The first variation is subdivided questions. “The impact of AIGC on media production” is relatively abstract, but it can be further subdivided into various media types, different media stages, and even changes in different media products. For example, last year’s 25-point major question from Renmin University was “What are the development applications of AIGC in audiovisual media?” This year, due to the emergence of Sora and Keling, the impact of AIGC media production will be concentrated in the audiovisual and broadcasting fields, which we need to pay attention to. From this perspective, it can also derive its impact on visual culture (for instance, some teachers analyze AIGC from Baudrillard’s perspective of “simulacra”). For such questions, we need to prepare specifically and can prepare alongside the Sora topic. The subdivision stage involves analyzing the impact of AIGC on writing, reviewing, and distribution. Finally, some schools that focus on advertising and publishing may ask about changes in advertising and publishing, which is also something we need to prepare for.The second variation is the change in media impact. Here, AIGC still analyzes its direct impact on media production, but if expanded, it may evolve into “the impact of AIGC on media ecology” (Chongqing Normal University), “the challenges and opportunities of China’s international communication in the AIGC era” (Zhejiang University), “the impact of AIGC on social life” (Tianjin Normal University), “the impact of AIGC on public opinion guidance” (Beijing Jiaotong University). These topics may seem complex, but fundamentally, they are variations of this question. To solve such questions, one must accumulate topics and start with the impact of AIGC on media production, then deduce what changes AIGC media products will bring, and finally, apply relevant theories based on the new characteristics of media products and the communication context to deduce the new media impacts.The third variation is the changes in news communication theory. In journalism, there are impacts of AIGC on news ethics, news objectivity, journalistic professionalism, and news authenticity. It may also involve journalism education and the transformation of journalists. In communication, it is likely to involve gatekeeping, knowledge gaps, and the digital divide. Whether it empowers or “disempowers” ordinary people is also a topic worth discussing. This is essentially the 2.0 version of the previous “XX theory in the context of artificial intelligence.” However, because AIGC now has many new characteristics that previous artificial intelligence did not have (for example, it was previously said that artificial intelligence could only have quantity but not quality, or could only adapt to a small portion of news content, now with the rise of generative artificial intelligence, that cannot be said anymore), adjustments are necessary.The fourth variation is its problems and solutions. Whether it’s fake news, privacy infringement, journalist unemployment, or platform monopolies, they may all converge in one question or be separated into different questions. Regardless of the question, while considering the issues, one must also prepare corresponding answers.Listing so many, it feels like AIGC can indeed write an extremely large amount of content. Therefore, when working on this topic, students must think more about it, and we will continue to push more information related to AIGC in subsequent papers, so please pay attention.Paper extraction link–Link: https://pan.baidu.com/s/1-txsovjLVhS63DywM0frzQ Extraction code: wy27 
Do not be bound by courses that you may not be tested on;Do not regret not completing endless questions;Do not be priced out by services that are not useful;Do not be troubled by small classes that cannot be filled;Everyone can easily choose their own school,Half-term class 999, come on!▼
Editor: Wa Shu TuanziWritten by: Wa Shu Typeset by: Li Zi