How online usage of subscription‐based journalism and mass communication research journal articles predicts citations

Ha, Louisa; Jiang, Weiwei; Bi, Nicky Chang; Zhang, Ruonan; Zhang, Tao; Xu, Wen

doi:10.1002/leap.1036

Cited by 9 publications

(6 citation statements)

References 39 publications

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“…Guided by the goal of educational modernization and building China into an educational power by 2035, the discipline of communication in China has updated the concept of liberal arts education in national universities and outlined a new picture of the construction of Johnson & Johnson discipline with Chinese characteristics, practicality, and interdisciplinary nature [1]. Johnson & Johnson discipline is a strategic measure to cultivate new liberal arts talents in China. "…”

Section: Introductionmentioning

confidence: 99%

Evaluating and Exploring the Effectiveness of Journalism and Communication Discipline Construction in the Context of Smart Era

2022

Mathematical Problems in Engineering

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In today’s intelligent era, the talent training mode of traditional journalism and communication discipline cannot keep up with the pace of the times. Under the background of intelligent era, the cultivation of compound talents in journalism and communication discipline is not only in line with the direction of education reform in journalism and communication discipline, but also in line with the objective requirements of economic and social development. Based on this, this paper puts forward three suggestions: improve the discipline layout of “smart age + journalism and communication discipline” and strengthen professional construction; enrich the textbook resources in the era of wisdom and promote smart teaching.

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Section: Introductionmentioning

confidence: 99%

Evaluating and Exploring the Effectiveness of Journalism and Communication Discipline Construction in the Context of Smart Era

2022

Mathematical Problems in Engineering

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“…Liu and He studied the challenges posed by new social media to government regulation of media from both theoretical and practical levels and introduced a theoretical model of government regulation of new media [16]. Amorim et al introduced public relations as a soft means into the regulation model by analyzing the "media access right" theory and the "media-source" relationship [17] [19]. Neijens summarized the social status and communication status of science communication in the new media era and summarized the communication methods and changes in the communication pattern in the new media era.…”

Section: Related Workmentioning

confidence: 99%

New Media Public Relations Regulation Strategy Model Based on Generative Confrontation Network

2022

Mobile Information Systems

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The rapid development of new media weakens the control of traditional news media on information. At the same time, under the impact of the rapid development of new media, it has brought new challenges to the regulation of public relations. In the new media environment, this paper constructs a text emotion generation model based on GAN to support the application of new media public relations regulation strategy. Aiming at the problem of insufficient constraint information of keywords in text generation, this paper uses the confrontation generation model based on reinforcement learning to supplement sentence components around keywords, so as to generate the text with the highest quality. At the same time, in order to extend GAN from continuous space to discrete space, the differentiable function based on Softmax transformation is adopted to approach the original nondifferentiable function. In this paper, LTP word segmentation system is used to select 356742 pieces of data with a length less than 20 for the experiment. Compared with Seqtoseq+attenion and Transform models, this model has higher similarity of real text distribution and higher text diversity. The retention degree of the main content of the input text is as high as 96.17%, which is higher than that of Seqtoseq+attenion model of 8.49% and Transform model of 6.11%. It provides effective support for the regulation of new media public relations.

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“…After nearly more than ten years of rapid development, scholars put forward dozens of complex network structural statistical indicators, and the most basic three indicators were the average path length, cluster coefficient, and degree distribution map. e average path length is the average of the distance between the two nodes in the network, which is the main indicator of the network on a global scale [21]. Assume that the distance d between the nodes i and j is connected to the shortest path of the two nodes, the number of network nodes is N, and the average path length L of the network can represent (1).…”

Section: Complex Network Structure Statistical Indicatormentioning

confidence: 99%

News Hotspot Event Diffusion Mechanism Based on Complex Network

Guo

2022

Mathematical Problems in Engineering

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The wide range of social hot news events on the Internet has made the Internet have a great impact on the public. However, there are few studies on Internet information. In order to improve the efficiency of user network information dissemination of Internet information based on complex network theory and model simulation, this paper makes a more in-depth study on information dissemination on the Internet, constructs a complex network of Internet information dissemination, and analyzes the static topology and dynamic evolution process of the network. Using the attention relationship between Internet users, the Internet information dissemination network, degree, and path were used to select multiple indicators. The static topology of the network is analyzed by using the complex network theory. The study found that the complex network of Internet information is different from other complex networks. The influencing factors of network dynamic evolution are studied from three aspects: overall structure, local structure, and time constraints. The evolution trend of different forms and overall network nodes in the evolution process was explored, and the network dynamic evolution process model was constructed. Practice shows that the model can better describe the evolution process of network information dissemination in complex networks. The degree values of the two networks are positively correlated with the corresponding average clustering coefficients, and the networks have a significant hierarchy. The correlation between news hot events and network nodes is not as good as users’ attention to the network.

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How online usage of subscription‐based journalism and mass communication research journal articles predicts citations

Cited by 9 publications

References 39 publications

Evaluating and Exploring the Effectiveness of Journalism and Communication Discipline Construction in the Context of Smart Era

Evaluating and Exploring the Effectiveness of Journalism and Communication Discipline Construction in the Context of Smart Era

New Media Public Relations Regulation Strategy Model Based on Generative Confrontation Network

News Hotspot Event Diffusion Mechanism Based on Complex Network

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