Speed Of Information Dissemination Research Articles

Innovation Model of Journalism Education Based on Information Technology under the Background of New Media

In recent years, as a new way of information dissemination, new media has brought a huge impact on traditional media. New media is the most important and popular communication medium in the new century, and the communication mode promotes the transformation of the whole society. With the continuous updating of mobile devices and the continuous increase of various news dissemination channels, which accelerates the speed of information dissemination, it also puts forward a test for the quality and effectiveness of news broadcasting. With the continuous development of information technology, the reform of education informatization continues to advance. At present, journalism education research has become a hot topic in journalism research, and journalism professional education faces many challenges in the context of educational informatization. It needs to take corresponding measures to innovate teaching concepts and teaching methods, so as to meet the requirements of education reform for journalism. This paper studies the development trend of new media. It is based on the effective application of information technology means to teaching and scientific research and aims to promote the progress and development of journalism education. This paper studies the impact of different audio sample durations on retrieval accuracy and retrieval speed and finds that the corresponding recall rate when the query sample audio length is 5 seconds is 82.5%. When the time length is 10 seconds, the recall rate is relatively improved by 13.2%. This paper discusses the innovation of journalism education under the background of informatization. In this paper, through the investigation of journalism college students' analysis of the problems existing in the current education and the synthesis of their suggestions, it is more prominent that 90% of them believe that improving teaching methods is the most important. Senior students have more prominent opinions on the issue of practical teaching. Practical teaching has become an important part of higher education with Chinese characteristics. It is an important way to guide students to integrate theory with practice and cultivate students' comprehensive quality and innovative consciousness.

The impact of different strategy update mechanisms on information dissemination under hyper network vision

Various studies have shown that the strategies employed by individuals play a significant role on information dissemination. This paper establishes a dynamic evolution model (PN-UHTR) that the individual behavior layer is two-way coupled with the information dissemination layer and studies the impact of the update probabilities among DB strategy, IM strategy, and PC strategy. They change the speed of information dissemination by transforming the probability of information selection. Based on the Markov theory, the dynamic evolution law of nodes is analyzed at each time step, and the probability of nodes in the steady-state is derived. In addition, the correctness of the theoretical analysis is verified by the simulation experiment of the hyper network and the changes of information dissemination under different strategy update mechanisms discussed. The results show that different strategies update mechanisms have a certain impact on the spread of information.

TwitterBulletin: An Intelligent and Real-Time Automated News Categorization Tool for Twitter

Social media platforms have become popular news sources thanks to their immense popularity and high speed of information dissemination. Using these platforms is essential for news organizations and journalists to track and discover news in digital journalism age. However, the abundance of meaningless data and the lack of organization on these platforms make it difficult to reach valuable news for journalists. In this paper, we create the first public dataset containing large number of real-world Turkish news tweets belonging to different news categories, to the best of our knowledge. We propose an artificial intelligence-based two-step approach to assist journalists for accessing the news shared by various sources on social media under the relevant categories like politics (elections, riots, etc.), health (pandemic, covid-19, etc.), etc. via a single platform by reducing the possibility of overlooking needed information. In the first step, we propose a machine learning based novel model for collecting and categorizing news posts on social media. We implement several traditional machine learning and deep learning based algorithms and evaluate their classification performance in terms of accuracy, precision, recall, and F1 score. In the second step, we develop a software tool, named TwitterBulletin, which automatically retrieves Turkish news tweets and groups them under news categories in real time by using the CNN classifier which achieves the best performance in the first step. The results show that the overall accuracy rate of TwitterBulletin is reasonably high and satisfactory despite the challenge of classifying short tweets.

Information Dissemination and Control of NIMBY Projects under Stigmatization

NIMBY (Not in My Backyard) projects are easily stigmatized due to their environmental risk. Stigmatization enlarges residents’ risk perception, urges residents to spread information, and takes actions to resist project implementation, causing environmental mass emergency. Taking paraxylene (PX) project as an example, information dissemination model of NIMBY project under stigmatization based on SEIR model in small world network was established, and the information dissemination process and characteristics of NIMBY project under stigmatization were simulated and analysed. The results show that (1) the public risk perception deviation caused by stigmatization promotes residents to disseminate information; (2) stigmatization has a greater impact on the information dissemination of NIMBY project with low environmental risk; (3) stigmatization accelerates the speed of information dissemination and increases the number of residents participating in information dissemination in different dissemination environment. The contribution of this paper is that SEIR model in small world network is used to verify the role of stigmatization in promoting information dissemination of NIMBY project by comparing the information dissemination before and after stigmatization.

Identifying Influentials in Social Networks

ABSTRACT In recent years, social networks have become very popular and an integral part of everyday life. People express their feelings and experiences in this virtual environment and become aware of others’ opinions and interests. Among them, influential users play an important role in disseminating information on social networks. Identifying such influencers is important in designing techniques to increase the speed of information dissemination. Such techniques are applicable in various fields including viral marketing, preventing the dissemination of harmful information, providing specialized recommendations, etc. Various approaches have been used to detect influencers on social networks, mostly based on the individual’s position in the network structure and their interactions. Considering the strengths and weaknesses of the previous methods, this study presents a novel method based on the content of the users’ posts without considering the network structure. This is done using a combination of high-level features extracted from images to measure the individual’s influence. Users’ images are investigated from three aspects: (1) color scheme, (2) advertising nature, (3) images’ semantics. To describe each of these aspects, feature extraction methods were used with acceptable accuracy in recognizing influential users. Finally, to achieve greater efficiency and precision, feature-combination methods have been investigated to provide an integrated classifier.

SOCIAL MEDIA IN CRISIS COMMUNICATIONS

Today, social media is increasing its influence on the communication environment. The toolkit of online platforms creates new opportunities for the communication strategy of the organization. Interactivity and speed of information dissemination contribute to the transformation of crisis communication models. The possibility of open dialogue in the network between the company and the public allows you to analyze the reaction of the audience to the crisis and choose the most successful crisis response strategy. Social media allows you to establish a long-term relationship with the audience, which is the basis for the successful exit of the organization from the crisis. The use of social media in crisis communications is associated with certain risks. Uncontrollability and constant variability of the socio-media environment are often the causes of crises.

Analysis and Management of Flu Disease Public Opinion Based on Machine Learning

In the new media era, there are more ways of information dissemination, and the speed of information dissemination becomes faster. Along with it, various public opinions and rumors flood the cyberspace. As a mainstream social media information publishing platform, microblog has become the main way for netizens to obtain, disseminate and publish information. Because microblog can freely make speeches, and has a fast transmission speed and a wide range, it is easy for public opinion information to be widely disseminated in a short time. In particular, information such as rumors in public opinion can affect the network environment and social stability. Therefore, it is necessary to analyze and predict public opinion changes and to provide early warning. The literature uses the classic BP-NN (BP-NN) as the base prediction model, and uses the information published on the Sina microblog platform as a sample to analyze and predict the public opinion of influenza diseases. Due to the BP-NN’ slow convergence speed, this paper introduces an improved genetic algorithm to select the optimal parameters in the BP-NN (IGA-BP-NN), shorten the calculation time, and improve the analysis and prediction efficiency. The experiments verify that the work in this paper can provide more accurate early-warning information for the public opinion management of related departments.

RETRACTED: Development of English teaching theory and practice research from the cross-cultural perspective

The progress of science and technology and the development of information technology have accelerated the speed of information dissemination and cultural transformation. In the context of multiculturalism, if we want to cultivate talents who can communicate across cultures, domestic English teaching needs further reforms. The unified implementation of English teaching in China has lasted for decades, and the research on teaching theory has gradually formed a stable framework. But from an overall point of view, instillation teaching under test-oriented education is not conducive to improving students' English practice level. In order to solve this problem, this article analyzes the cultural teaching content in college English teaching from a cross-cultural perspective, and emphasizes the importance of cultural infiltration in English teaching. At the same time, it analyzes the problems in teaching practice from multiple aspects of listening, speaking, reading, writing and translation, and puts forward suggestions for the construction of a cross-cultural communication ability training system. Experiments show that in the classes taught by ordinary English teachers, the average proportion of classroom culture teaching is only 14.995%; under the same conditions, the average proportion of classroom culture teaching in the classes taught by foreign teachers reaches 33.865%. Combined with the higher average scores of students in foreign teachers' classes, it can be known that cultural teaching can play a certain role in improving the level of comprehensive English teaching.

Attention, Distraction, and the Speed of Information Transmission

We show that investor attention accelerates the incorporation of information contained in 10-Q, 10-K, and 8-K reports into prices. Quantifying news-level attention using the activity on the SEC's EDGAR server, we establish that the count of the IP addresses visiting a filing is positively and negatively related to the proportion of the long-term price response revealed, respectively, on and after its submission date. We then propose a direct measure of investor distraction by considering the observed amount of attention that disclosures from other industries attract. We find that distraction negatively impacts the speed of information dissemination even when the attention a report receives is controlled for. We hypothesize that this is due to investors still needing to allocate their limited information acquisition capacity after choosing a submenu of news to be attentive to and provide evidence consistent with this claim. Our results suggest that information production follows a two-step process and hence that direct proxies for attention that are based on news-reading and news-searching activity may not fully capture investors' information acquisition choices.

Социальные медиа в конституционно-правовом пространстве России и Германии

Introduction. The role of social media is objectively increasing in modern digital information space. They are much involved in shaping public opinion while democracy and civil society are being built and developed. Social media also contribute to the freedom of speech guaranteed by the Constitution. In the context of globalization, the development of state legal regulation often turns to the implementation of the rules which have already been tested in other countries. The fast development of relations in the field of social media and piecemeal legal regulation of this field in Russia make the foreign experience highly demanded. Theoretical analysis. Social media is one of the key actors in shaping public opinion. However, the current legislation of the Russian Federation very superficially regulates the legal status of this media institution. In turn, the Federal Republic of Germany has more experience in the legal regulation of social media. Based on a certain proximity of the state and legal mechanisms of Russia and Germany, as well as the high level of development of democratic institutions of the latter, the authors analyzed the status of social media in the constitutional and legal space of these countries in order to study the possibility of adapting the German experience to improve Russian legislation. Empirical analysis. The high degree of influence of social media on public opinion is due to a number of specific characteristics of their creation and functioning: the spontaneous nature of content creation, the high speed of information dissemination, the minimum level of external influence, the easily perceived nature of information. Taken together, these characteristics of the institution significantly complicate the implementation of legal regulation in relation to them, effective and efficient in practice, which also determines the conduct of the study. Results. We have studied common and individual features of the legal regulation of social media in the Russian Federation and the Federal Republic of Germany. Based on our conclusions, we are coming up with several proposals for the improvement of the Russian legislation on social media. Russia has significant weaknesses and conflicts of laws in the sphere of media production and information dissemination. Russian legislation in no way covers the social media not registered as mass media in the manner prescribed by law. In our opinion, the German legislation on social media also has certain deficiencies. However, some rules may be adapted to Russian legislation. Based on our research, we propose to draft a federal law on social media, which would partially reflect German experience.

Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics.

With the development of Internet technology, the speed of information dissemination and accelerated updates result in frequent discussion of topics and expressions of public opinion. In general, multi-dimensional discussion topics related to the same event are often generated in the network, and the phenomenon of multi-dimensional public opinion polarization is formed under the mutual influence of groups. This paper targets the phenomenon of multi-dimensional public opinion polarization under topic-derived situations as the research object. Firstly, this paper identifies the factors influencing multi-dimensional public opinion polarization, including the mutual influence of different topic dimensions and the interaction of viewpoints within the same topic. Secondly, the topic correlation coefficient is introduced to describe the correlation among topics in different dimensions, and the individual topic support degree is used to measure the influence of topics in different dimensions and that of information from external intervention on individual attitudes. Thirdly, a multi-dimensional public opinion polarization model is constructed by further integrating multi-dimensional attitude interaction rules. Finally, the influence of individual participation, topic status, topic correlation coefficient and external intervention information on the multi-dimensional public opinion polarization process is analyzed through simulation experiments. The simulation results show that: (1) when there is a negative correlation between multi-dimensional topics, as the number of participants on different dimensional topics becomes more consistent, the conflict between multi-dimensional topics will weaken the polarization effect of overall public opinion. However, the effect of public opinion polarization will be enhanced alongwith the enhancement in the confidence of individual opinions. (2) The intervention of external intervention information in different dimensions at different times will further form a multi-dimensional and multi-stage public opinion polarization, and when the multi-dimensional topics are negatively correlated, the intervention of external intervention information will have a stronger impact on the multi-dimensional and multi-stage public opinion polarization process. Finally, the rationality and validity of the proposed model are verified by a real case.

Improved Short-video User Impact Assessment Method Based on PageRank Algorithm

The short-video platform is a social network where users’ content accelerates the speed of information dissemination. Hence, it is necessary to identify important users to effectively obtain information. Four algorithms (Followers Rank, Average Forwarding, K Coverage, and Expert Survey and Evaluation) have been proposed to calculate users’ influence and determine their importance. These methods simply take the number of a user’s fans or posts as the standard of influence evaluation, ignoring factors such as the paid posters, which makes such evaluations inaccurate. To solve these problems, we propose the short-video user influence rank (SVUIR) algorithm, which combines direct and indirect influence to comprehensively measure the influence of short-video users, using reference factors such as the number of fans, likes, number of users’ works, users’ work quality, focus on behavior, comments, and forwarding behavior. An experiment verifies the algorithm on Douyin (i.e., TikTok), which is a typical short-video platform, and confirms that SVUIR is more comprehensive and objective than the above four algorithms.

FORMALIZATION OF THE CONCEPT OF SOCIAL SPACE OF THE SUBJECT THROUGH THE CONCEPT OF SOCIAL NETWORKS

The purpose. To study the structure and properties of social space from the point of view of the subject's social networks, to find out the mechanisms of forming social contacts in modern conditions. Methods. The concept of "social network" is studied from the point of view of modern tools for their creation. Mechanisms for forming a personal social network are presented on the example of the "work" group from the list of "friends" of the profile. Highlighting the subject's personal social network made it possible to identify information transmission channels. The analysis of corporate social networks of enterprises, technologies of their implementation and features of functioning is made. The functionality of modern corporate social network services is studied. A survey of social networks of higher educational institutions in the context of distance education, as well as the use of existing social network services by higher educational institutions in the context of distance education, was conducted. Results. Features of forming a list of accounts in the "work" group from the general list of "friends"are revealed. Modern tools for creating social networks of the subject, corporate social networks of enterprises and organizations are studied. The factors that will influence the formation of a web-PSN are highlighted. The structure of web-CSN, disadvantages and advantages of using it, and technologies for their implementation are studied. Changes in the structures of corporate social networks of educational institutions are highlighted. Scientific novelty. The paper defines a personal social network (PSN), web-PSN, aggregate web-PSN, personificator, and personificant. The paper identifies groups of web-PSN objects, elucidates the mechanisms of web-PSN formation, and provides a formal description of them. Corporate social networks are considered, the definition of web-CSN is given, and the problems that an enterprise should solve before implementing web-CSN are formulated. The factors that influence the formation of a personal social network are also identified. Practical significance. Highlighting a web-PSN is relevant for business tasks, such as identifying potential buyers, identifying bots, fake accounts, and so on. The research results are important for other applied tasks, for example, determining the prospects for network expansion, determining the directions and speed of information dissemination, information perception, the ability and possibility of distortion, transmission prospects, and in general, for predicting the dynamics of communication networks of subjects. The study of the mechanisms of forming social contacts is important for formulating tips and suggestions on the processes of creating and developing a pesonal social network for an ordinary user, to ensure the protection of their account and personal data that it contains.

Reflection on College Education and Teaching Management under New Media

Under the background of current social development, the role of media in the process of information dissemination is becoming more and more enlarged, the speed of information dissemination is greatly accelerated based on the platform built by the media. In the process of information dissemination, the related concepts of new media are derived based on the media platform. This is also the result of the continuous integration of information technology and network technology. Compared with the traditional media, the advantages of new media technology itself are more obvious both the source of information, but also the reporter and audience, so in the context of the development of new media art, the spread of various social hot issues is very fast, and the coverage is also wider. Under the background of the development of new media, colleges and universities themselves are greatly impacted by the information of new media, because people have higher acceptance of new media, so they receive all kinds of information from the outside world through mobile phones and computers, which leads to the challenge of education and teaching management in colleges and universities at present.

Research on Recommendation Operation Strategy of News and Information Products

<p>For China’s news industry, personalized recommendation of news and information products is beginning to take off, but it is growing rapidly. Excess information content and limited time and energy of users urgently need common numbers to balance. It is not the ultimate goal to blindly provide users with instant news content as media. With the rising status of users, the times have higher requirements for media. In today’s society, improving information processing ability is more important than the speed of information dissemination. Users are forbidden to keep copper in the information cage. Repeated bloody, violent, misleading and other information are distressing. How to solve information overload for news and information product operators? How to adjust operation strategy from the perspective of users? How to solve the relationship between technical algorithm and manual intervention? How can personalized recommendation promote the development of news industry?</p>

Big data and algorithmic trading against periodic and tangible asset reporting: The need for U-XBRL

The gradual but marked decline in the correspondence between aggregated accounting numbers and market valuations, such as stock returns, is a well-documented phenomenon in the research literature (Lev and Zarowin, 1999). Rapid advances in technology have paved the way for the collection of unprecedented volumes of data. Currently, the slow speed of information dissemination, laggard accounting systems, and a focus on high levels of aggregation are perhaps the largest contributors to waning relevance of financial reporting. The fight for trading superiority is leading users to seek relevant data elsewhere and may contribute to these observed effects. This paper proposes an accounting system known as User XBRL (U-XBRL) designed to overcome these issues. This system collects, analyzes, and displays information in such a way that caters to the speed, detail, and customization demands of modern-day stakeholders (Krahel and Titera, 2015). U-XBRL amalgamates all types of data pertinent to a business, including both internal company data and exogenous source data. Each piece of data is assigned to a firm resource according to the resource-based view. Then, U-XBRL standardizes the information according to data standards and feeds it to a central repository. This repository is primarily organized through XBRL tags and is governed secondarily by other standards and taxonomies. A number of applications can be used individually to select data from the repository for analysis. Using U-XBRL the recognition, monitoring, and assurance of resources are streamlined.

Territorial differences in information propagation on social networks: results of modeling

A special methodology for sampling statistical data in the popular VKontakte network has been implemented in order to create analytical and simulation models of territorial differences in the propagation of information on social networks, its malicious part as well, which has a manipulative effect on the population. Analytical models of the information dissemination speed dependence on the average size of the «friends» circle of users in various settlements of the Russian Federation are built. The explainability coefficients of the model calculated as the square of the correlation coefficient between empirical and model data multiplied by one hundred are at least 95%, which allows building fairly reliable forecasts. Seven homogeneous groups of Russian settlements were identified as a result of settlements classification using cluster analysis. Those groups are significantly different in the speed of dissemination of information in social networks. It is concluded that the application of simulation results is promising for the scientific justification of measures for informational counteraction to manipulative influences on the population in social networks with the territorial differences being considered.

Cyber Media and Diversity Issues in Indonesia

Cyber media research in its relation to diversity is part of mass communication study particularly cyber media journalism which emerges fast nowadays. In the framework of political democracy in Indonesia, coverage and news coverage on diversity issues depend on the characteristics of the cyber media. Therefore, it is possible that the information being received can differ from one to another cyber media. Since cyber media have speed of information dissemination, they should be able to disseminate messages in accordance with the essential and importance of diversity. This does not disregard definitely that information from cyber media become reference for public to behave and take actions. This study aims to describing the meaning of cyber news coverage, describing cyber news coverage from the aspect of newsworthiness, reviewing the use of news coverage information, and analyzing various news coverage topics in cyber media. As the result, this study found the number of words related to cyber media attention to diversity issues, cyber news coverage that puts forward verification and newsorthiness, and different news coverage topics of diversity issues in each cyber media.

Three-hop velocity attenuation propagation model for influence maximization in social networks

In the study of influence maximization in social networks, the speed of information dissemination decreases with increasing time and distance. The investigation of the characteristics of information dissemination is of great significance to the management and control of public opinion. A three-hop velocity decay propagation model is proposed to determine the propagation speed in information dissemination and the time and distance attenuation factors of information dissemination were modeled. We simulated the three-hop information propagation and developed an influence maximization algorithm based on the rate attenuation propagation model (IMMRA). Experiments using two example data sets showed that the proposed algorithm had higher accuracy and time efficiency than a greedy algorithm.

The Construction of Digital Media Art Teaching Model in the New Media Era

In new media era, the network coverage is wider, application of mobile terminals is more convenient, speed of information dissemination is fully accelerated, scope of dissemination is wider and people's access to information is more diversified. Therefore, the current media has become an indispensable part of human’s lives such as changing the way human live, work, learn and communicate daily. In this context, it is compulsory to improve the traditional teaching methods in order to keep in pace with the fast development and promote art education through the combination of technology and art. This paper analyses the current situation of digital media art teaching and the construction path of teaching model in the new media era.
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