scholarly journals Quantifying time-dependent Media Agenda and public opinion by topic modeling

2019 ◽  
Vol 524 ◽  
pp. 614-624 ◽  
Author(s):  
Sebastián Pinto ◽  
Federico Albanese ◽  
Claudio O. Dorso ◽  
Pablo Balenzuela
Keyword(s):  
Public Opinion ◽  
Topic Modeling ◽  
Time Dependent ◽  
Media Agenda

Coverage of Cultural Heritage in Mass Media Publications in Zimbabwe

2018 ◽  
pp. 428-442
Author(s):  
Marlvern Mabgwe ◽  
Petronella Katekwe
Keyword(s):  
Public Opinion ◽  
Mass Media ◽  
Cultural Heritage ◽  
Agenda Setting ◽  
Political Development ◽  
Media Coverage ◽  
Document Analysis ◽  
The Public ◽  
Media Agenda ◽  
Working Hypothesis

This chapter evaluates the pattern and trend of mass media coverage of Zimbabwe's cultural heritage, with a focus on the newspaper publications produced between the years 2010 and 2015. The working hypothesis is that the level and nature of mass media coverage of cultural heritage is directly proportional to the nature of public opinion and attitude towards their own cultural heritage. As such, in order for cultural heritage to make a meaningful contribution to socio-economic and political developmental in Zimbabwe, there is a need for cultural heritage to be visible in all mass media productions. Using document analysis, questionnaires, and interviews, the research identified that the coverage of cultural heritage in mass media in Zimbabwe is alarmingly low. That jeopardizes the regard of cultural heritage as a driver for socio-economic and political development amongst the public. However, through reprioritization of media agenda-setting, media policy, and fostering of a closer collaboration between heritage managers and media professionals, the situation can be salvaged in Zimbabwe.

scholarly journals Disappearing Errors in a Conversion Model

2021 ◽  
pp. 341-358
Author(s):  
David P. Fan
Keyword(s):  
Public Opinion ◽  
Diffusion Of Innovations ◽  
Measurement Errors ◽  
Equation Model ◽  
Bad News ◽  
Time Dependent ◽  
Bass Model ◽  
Persuasive Messages ◽  
Conversion Model ◽  
Basic Differential Equation

The same basic differential equation model has been adapted for time-dependent conversions of members of a population among different states. The conversion model has been applied in different contexts such as epidemiological infections, the Bass model for the diffusion of innovations, and the ideodynamic model for public opinion. For example, the ideodynamic version of the model predicts changes in public opinions in response to persuasive messages extending back to an indefinite past. All messages are measured with error, and this chapter discusses how errors in message measurements disappear with time so that predicted opinion values gradually become unaffected by past measurement errors. Prediction uncertainty is discussed using formal statistics, sensitivity analysis, and bootstrap variance calculations. This chapter presents ideodynamic predictions for opinion time series about the Toyota car manufacturer calculated from daily Twitter scores over two-and-a-half years. During this time, there was a sudden onslaught of bad news for Toyota, and the model was able to accurately predict the accompanying drop in favourable public opinion towards Toyota and rise in unfavourable opinion.

scholarly journals Close to Beijing: Geographic Biases in People’s Daily

2021 ◽  
Vol 9 (3) ◽  
pp. 59-73 ◽  
Author(s):  
Morley J. Weston ◽  
Adrian Rauchfleisch
Keyword(s):  
Public Opinion ◽  
Spatial Analysis ◽  
Media Coverage ◽  
Topic Modeling ◽  
News Coverage ◽  
Foreign Countries ◽  
People’S Daily ◽  
Geographic Diversity ◽  
People's Daily ◽  
Automated Methods

Inequities in China are reflected within state-run media coverage due to its specific role “guiding public opinion,” and with our study we contribute to the geographic turn in the Chinese context with regard to media and journalism. As a subject of a spatial study, China is unique due to several factors: geographic diversity, authoritarian control, and centralized media. By analyzing text from 53,000 articles published in <em>People’s Daily</em> (rénmín rìbào, 人民日報) from January 2016 to August 2020, we examine how the amount of news coverage varies by region within China, how topics and sentiments manifest in different places, and how coverage varies with regard to foreign countries. Automated methods were used to detect place names from the articles and geoparse them to specific locations, combining spatial analysis, topic modeling and sentiment analysis to identify geographic biases in news coverage in an authoritarian context. We found remarkably uniform and positive coverage domestically, but substantial differences towards coverage of different foreign countries.

A new spreading model in the environment of epidemic-related online rumors

2021 ◽  
Author(s):  
Fuzhong Nian ◽  
Xin Guo ◽  
Jinzhou Li
Keyword(s):  
Public Opinion ◽  
Large Scale ◽  
Time Dependent ◽  
Individual Factors ◽  
User Characteristics ◽  
Rumor Spreading ◽  
Spreading Model ◽  
The Common ◽  
Individual Differentiation ◽  
The Relationship

This paper takes COVID-19-related online rumors as the research object, and explores the law of spreading public opinion in social networks. The paper also conducts empirical research on the relationship between rumor spreading, user characteristics and subject interest differences, and analyzes the common influence of individual factors and social environment. In the process of public opinion dissemination, measures that can effectively regulate the dissemination of public opinion are proposed. Based on the susceptible-exposed-infected-recovered (SEIR) model, this paper analyzes the influence of individual differentiation characteristics, friend factors, and time-dependent decline on user status changes. The study found that the user’s environment can affect the spread and popularity of public opinion information, and prolong the survival time of public Controlling the propagation threshold and exit threshold of the platform helps to control the large-scale dissemination of online public opinion. The extinction of public opinion is affected by the decline of time and heat rather than certain probability.

Media, public opinion and parliamentary agendas’ effect in political parties’ agenda-setting

2020 ◽  
Vol 4 (1) ◽  
pp. 17-42
Author(s):  
Ana Maria Belchior
Keyword(s):  
Public Opinion ◽  
Political Parties ◽  
Agenda Setting ◽  
Party Competition ◽  
Party Manifesto ◽  
Media Agenda ◽  
Economic Context ◽  
Voter Preferences ◽  
The Media ◽  
Policy Agendas

Abstract Why do parties pay more attention to some policy issues than to others? To what extent does policy attention conveyed by the media, public opinion, and parliament explain party agenda-setting? And, more specifically, to what extent does the media agenda influence other agenda effects? This paper addresses these questions in an original manner by analyzing the influence of these three agendas – media, public opinion, and parliament – in party manifesto elaboration. The analysis relies on an extensive database of the Portuguese Policy Agendas Project that includes media attention, voter preferences, parliamentary questions and pledges in manifestos, between 1995 and 2015. Our findings show that the media agenda is the most influential in party manifesto elaboration, and that the other agendas have a stronger effect when the media also give attention to the issue. This depends, however, on the political party being in cabinet or in opposition, as well as on the economic context. These findings have important implications for party competition literature.

A Big-Data Analysis of Issues on North Korea and Media Agenda Setting Functions: Applying Topic Modeling and Word-embedding Methods

Peace Studies ◽  
2020 ◽  
Vol 28 (1) ◽  
pp. 287-332
Author(s):  
Kayoung Kim ◽  
Kyeongpil Kang ◽  
Minji Son ◽  
Cheongah Lee ◽  
Shinbeom Hong ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Agenda Setting ◽  
Topic Modeling ◽  
North Korea ◽  
Big Data Analysis ◽  
Word Embedding ◽  
Media Agenda ◽  
Embedding Methods

scholarly journals Foreign policy fatigue? Russian mass media agenda setting strategies and public opinion on the 2018 pension reforms

Slovo ◽  
2021 ◽  
Author(s):  
Ellen N. Leafstedt
Keyword(s):  
Foreign Policy ◽  
Public Opinion ◽  
Mass Media ◽  
Agenda Setting ◽  
Pension Reform ◽  
Public Attention ◽  
Political Issue ◽  
Pension Reforms ◽  
Media Agenda ◽  
News Events

The scholarship on Russian media is beset with the assumption that the Russian public is unable to ‘vote with their remote’ in a homogenously pro-regime media environment and instead passively accepts messaging from the official mass media. This assumption is assessed here in a case study using quantitative content methods to examine the discrepancies between official mass media agenda-setting and public opinion during the period of salience of the news event of the 2018 pension reforms. The pension reform, as an obtrusive domestic political issue in contrast to the unobtrusive international news events which dominate Russian news coverage, stood out asone of the major events of the year in the view of the Russian public. This article finds that official mass media undertook agenda-setting measures to de-emphasize negative aspects of the pension reform news events, emphasize positive aspects, and distract public attention towards more sensationalist foreign policy news items. However, it also finds that public opinion priorities on news issues were incongruent with media agenda-setting, indicating that official mass media messages are not accepted uncritically by the Russian public.&nbsp;

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