University Opinion Research Articles

An Innovative Scheme for the Governance of Religious Online Public Opinion in Universities: A Design Based on the 4R Crisis Management Theory

The emergency management of religious online public opinion is an important part of the management work in universities, and the modernization of college governance in the new era. Based on the review of relevant theories and concepts of religious online public opinion in universities, this article analyzes the problems existing in the governance of religious online public opinion in universities from the perspective of 4R crisis management theory through literature analysis and questionnaire survey. Coping strategies are proposed for the governance of religious online public opinion in universities, and a “reduction-preparation-response-recovery” governance model of religious online public opinion is constructed, providing reference for the effective response and governance of religious online public opinion in universities.

The Generation and Avoidance Path of Emotional Turn in College Online Public Opinion in the Post Truth Era

On November 16, 2016, the Oxford Dictionary first defined the term "post truth" as the "annual vocabulary" of 2016, which refers to emotions and personal beliefs being more influential than objective facts in influencing public opinion. Since then, the "post truth" has also been increasingly concerned and discussed by the academic community. This article takes the "post truth era" as the theoretical background to explore the reasons and manifestations of the emotional shift in online public opinion in universities, and proposes corresponding response strategies.

Strategies for Monitoring and Managing Online Public Opinion in Universities Under the Background of Big Data

<p>In response to the issue of some keywords not being logged in or having inaccurate semantics in current public opinion monitoring, this article uses an improved word segmentation method to extract semantic features. In response to the current issue of unable to control the emotional direction of public opinion comments in public opinion analysis, an emotion analysis model Bi_GRU is proposed for sentiment analysis. Finally, using students’ commonly used Weibo as a verification scenario, sensitive information such as “food safety” and “campus bullying” is screened to control the emotional direction of college students. The final proof is that the method proposed in this article can effectively supervise public opinion in a centralized environment and provide effective means for student management. </p> <p> </p>

Game Behavior of Negative Public Opinion in Colleges and Universities and Its Rectification and Optimization

Aims: With the development of the Internet, more and more public opinion events in colleges and universities attract people's attention. Using the game theory method to analyze the public opinion events in colleges and universities, it can effectively improve the benefit of students and the degree of emphasis on the rectification of negative public opinion.
 Methodology: The problem of negative public opinion in colleges and universities mainly involves four interest subjects: students, colleges and universities, and government supervision departments. Based on the thought of game theory, this paper studies the game behavior among government, students and universities under the condition of information asymmetry from the goal of university rectification and optimization.
 Conclusion: The analysis of the game Nash equilibrium found that improving the rectification cost of non-action in dealing with negative public opinion in colleges and universities and reducing the cost of supervision by government departments can effectively improve the benefit of students and the degree of emphasis on rectification in colleges and universities.

Research on endogenous internet public opinion dissemination in Chinese universities based on SNIDR model

During an emergency, the negative Internet public opinion in colleges and universities, especially the negative endogenous public opinion, will have a serious impact on the reputation of colleges and universities. It is of great significance to find out the negative influencing factors of endogenous public opinion and explore the mechanism of public opinion dissemination for resolving the crisis of public opinion in universities. The existing research does not distinguish the endogenous Internet public opinion in colleges and universities from the general Internet public opinion in colleges and universities, and the SIR model adopted fails to fully reflect the difference between students and other dissemination subjects of endogenous public opinion in campus. In addition, various research methods and models currently used focus on the static expression of dissemination results, and the explanation of results is insufficient. The reason is that they do not well express the dynamic interaction mechanism between influencing factors and the dynamic conversion rate between roles. In this study, based on the improved infectious disease model and system dynamics theory, AnyLogic software is used to simulate the improved SNIDR model of infectious disease, to analyze the sensitivity of school supervision, school intervention, school response time and information transparency and to study the dynamic conversion rate between different roles. The SNIDR model effectively simulates the process of endogenous public opinion dissemination in colleges and universities after emergencies. The results show that, what has the greatest impact on the dissemination of public opinion is the school’s supervision and intervention efforts, which can suppress the dissemination from the source. Information transparency is an auxiliary variable and cannot function independently. During the dissemination period, the timelier the school responds, the faster the spreaders will drop to zero, and the better it will be to control the secondary dissemination of public opinion.

Research on College Network Early Warning Based on LSTM

With the development of information technology and the continuous optimization of China’s education system, college students have gradually become the main group in the Internet, and college network public opinion events have received increasing attention. By analyzing the constituent elements of university network public opinion, building an early warning indicator system from three dimensions: subject, carrier, and object, and combining life cycle theory, dynamic comprehensive evaluation method, and short-term memory network, constructing a university network public opinion model. Through empirical analysis of 20 university network public opinion events, the experimental results show that the proposed public opinion model has certain feasibility. Corresponding response strategies have also been proposed for different levels of crisis warning, providing a decision-making basis for relevant departments to guide and manage online public opinion in universities.

Research on the Guiding Path of Online Public Opinion in Universities from the Perspective of Public Management

Research on the Guiding Path of Online Public Opinion in Universities from the Perspective of Public Management

Intelligent Analysis and Positioning of Political Public Opinion in Universities

With the rapid development of Internet technology, the network has become an indispensable way of life for undergraduates. The correct guidance of public opinion has also become an important thing in the ideological work of universities. Undergraduates are in an important period of formation and development of thoughts that they are easily to be incited by cyber-rumors. Therefore, it is particularly important to obtain the data of political public opinion in universities and position the hot topics for early detection of political public opinion tendency, which can also avoid the outbreak of major security incidents. With such consideration, this paper obtains multi-source political public opinion data from BBS, Tieba and Weibo of SUN YAT-SEN UNIVERSITY (SYSU) through crawler. We study a text feature extraction method based on Word2Vec & LDA (Latent Dirichlet Allocation), which improves the high-dimensional sparsity in traditional Vector Space Model (VSM) text representation. Meanwhile, based on the classical Single-pass clustering algorithm, this paper studies the Single-pass & HAC clustering algorithm. In addition, a measurement method of hot topic is defined to calculate the heat value of political public opinion. Dictionary and rule based method is used to improve the accuracy of sentiment tendency analysis. The experimental results demonstrate that the effect of topic detection and positioning based on LDA & Word2Vec and Single-pass & HAC algorithm is better than other methods.

The Analysis of Public Opinion in Colleges and Universities Oriented to Wireless Networks under the Application of Intelligent Data Mining

In recent years, the incidence of public opinion in colleges and universities has been high. Monitoring, forecasting, and responding to public opinion of students in colleges and universities have increasingly become the work that education management departments at all levels attach great importance to. For each university, how to understand the sensation of teachers and students in real time in the era of informationization entering the intelligent campus has become an urgent problem. How to collect college campus network information, analyze and manage this information, and find hot topics from it has a profound impact on the reform of colleges and universities. Hence, in this paper, we propose a public opinion analysis framework based on intelligent data mining technique. Its advantage lies in the fact that it can withdraw the needed and unknown knowledge and regularities from the massive network data and host log data. It is a new attempt to use data mining in achieving public opinion. At present, data mining algorithm applied to public opinion analysis mainly has four basic patterns: association, sequence, classification, and clustering. Data mining technology is advanced for: it can process large amount of data. It does not need the users’ subjective evaluation and is more likely to discover the ignored and hidden information. Here, initially, the dataset is collected, which is preprocessed and divided into a training set and test set. Feature extraction of the text is done using Linear Discriminant Analysis (LDA). After that, text cosine similarity calculation is performed to compute the similarity between text vectors obtained from the LDA. Convolutional neural network (CNN) is used for classification purpose. We proposed Krill Herd Harmony Search Optimization Algorithm (KHHSOA) for optimizing the CNN and classifying the text into positive and negative opinion. The proposed system is simulated using MATLAB simulation tool, and the performance is analyzed in terms of metrics like accuracy, precision, recall, F -measure, kappa coefficient, and error rate. The proposed method is proved to be better when compared with the existing techniques.

Construction of Early Warning Mechanism of Network Public Opinion in Colleges and Universities under Big Data Environment

With the advent of the data age, everyone is in the torrent of information. At the same time, with the development and popularization of the Internet, information exchanges between people have become more convenient and faster, and the resulting early warning of network public opinion (NPO) has become an object we have to pay attention to. For colleges and universities, the construction of network public opinion warning (NPOW) is of great significance. This research aims to study the construction of NPO early warning mechanism in colleges and universities under the big data environment. Based on the understanding of the relevant theories of NPO, this article first explains the construction goals and principles of the early warning mechanism of NPO in colleges and universities, and uses a questionnaire survey method to study the necessity and effect of establishing an early warning mechanism of NPO in colleges and universities, and proposes Countermeasures that universities can refer to when constructing an early warning mechanism for NPO. According to the questionnaire "Do you think the school needs to provide early warning of NPO", 10.7% of college students indicated that it is unnecessary. 15.84% of college students think that it doesn't matter to give early warning of NPO, which shows that the current colleges and universities lack in-depth understanding of early warning of NPO.

A Groundless Clash of Freedoms?: The Religious Freedom of the Religiously Affiliated University and the Freedom of Faculty to Organize Under the NLRA

This article deals with the clash between faculty, especially adjunct faculty, wishing to use the processes of the National Labor Relations Board to organize at religiously affiliated universities and the objection of some of those universities who claim that the NLRB will violate their religious freedom under the Religion Clauses of the First Amendment and/or the Religious Freedom Restoration Act. This objection is based on the Supreme Court’s opinion in NLRB v. Catholic Bishop of Chicago where the Court invoked the “avoidance” doctrine to avoid deciding the First Amendment issues by deciding that Congress did not intend the NLRB to have jurisdiction over high schools operated by a church and where religious authority was pervasive. This objection, supported by two divided Circuits, wants to extend this “avoidance” mechanism to religiously affiliated universities where there is no such church authority and no pervasive religious atmosphere. The NLRB’s Pacific Lutheran University opinion seeks to preserve its jurisdiction in such cases. The effective right of many thousands of professors to organize is at issue. This article criticizes this extension of the avoidance doctrine as an evasion of a court’s duty to say what the law is and examines, on the merits, the constitutional and RFRA claims to show that the exercise of NLRB jurisdiction will in fact neither violate the Religion Clauses nor the RFRA.

Decline of Donnish Dominion: The British Academic Professions in the Twentieth Century.

British higher education is internationally perceived as being in crisis. In this book A. H. Halsey examines how the present-day situation developed. Beginning with the 1963 Robbins Report, he argues that, despite the subsequent expansion of higher education, this initiative represented a failed thrust towards mass higher education. He shows how the rise of liberal economic policies was irrelevant to the long-term decline of academic power and demonstrates how power has ebbed away from academics towards government, and towards students and industry as consumers of education and research. Professor Halsey's arguments are buttressed by extensive surveys, carried out in 1964, 1976, and 1989, which chart the development of academic opinion in universities and polytechnics. The survey reveals low morale, disappointment, and resentment; but these feelings are still combined with a persistent belief in the British idea of university. Professor Halsey's discussion and analysis provide vital information about the current state of Britain's higher education system and offer an important contribution to the fierce debate about educational and training policies which is currently one of the central topics of British political debate.

A New Forum for Business/Higher Education Interaction: The Australian Business/Higher Education Round Table

AbstractThis paper outlines some of the early work of the Australian Business/Higher Education Round Table modelled partly on the British Council for Industry and Higher Education and the Business‐Higher Education Forum in the United States. The main results of two surveys of employer and university opinions are summarized and they show considerable consensus about the objectives of secondary and higher education, desirable characteristics of university graduates and their current standards.

The Film Gains a Dimension

WHAT IS probably the only film of its kind ever produced in the United States has just been completed by a graduate theater arts student at the University of California, Los Angeles campus. The film, entitled A Place to Live, is Harry L. Cooper's master's thesis and represents active cobperation between the Psychology and Theater Arts departments of the university in an effort to develop a multipurpose film. Basically, the subject of this film is the so-called racial or ethnic tensions as illustrated in a student housing situation. The subject of tension is, of course, of prime interest to the social scientist concerned with human relations, and is a major area of research. At the same time, social tensions resulting from ethnic or racial discrimination are a prime concern of educators and citizens of good will who recognize in them a major threat to our democratic way of life. Thus, at the outset the film deals with content material which has potential uses both for educators and for social scientists. The film is unique because it provides material for two methods of utilizing motion pictures, the two approaches mentioned above. In the first place, it tells a particular story of racial prejudice and discrimination and thus is suitable as subject material for discussion groups concerned with this problem. Second, the film is so constructed that it can be used for psychological research in the field of social perception of ethnic differences. There have been documentary films dealing with group conflict, and there have been testing films, too, but in the opinion of University of Cali-