Agenda-setting Model Research Articles

Understanding the Litigation Priorities of Legal Impact Organizations

What influences the litigation agendas of LGBTQ legal impact organizations in the United States? These organizations are at the forefront of bringing rights claims before the courts, but capacity and resource limitations mean that they cannot litigate every issue important to their constituency. Drawing on dozens of interviews with movement actors and organizational documents, I find that the formation of litigation agendas in LGBTQ legal impact organizations resembles the dynamic models of policy agenda setting, with cause lawyers influenced by a confluence of commonly reoccurring elements of unequal influence. However, one element stood out in influencing litigation choices, above even donor and funding concerns: lawyer autonomy and individual preferences. My findings suggest greater agency of individual cause lawyers and contribute to our understanding of the relationship between legal organizations and social movements.

Winter Olympic Games in Lithuanian Media

The Winter Olympics Games is the most important sports event which is reported in Lithuanian media. There are no researches which would show how Lithuanian sports journalists publicate news about Winter Games. The first task is to find out the concept of media, tthe functions and tasks of media, genres and titles of media texts. The second task is to discuss the Winter Olympics and sports media functions. The third task is to elucidate the models of agenda setting and framing theories. The fourth is to perform quantitative and qualitative analysis of content research. In order to implement the first, second and third tasks, an analytical descriptive method is used. In order to implement the fourth, the methods of quantitative and qualitative analysis of the content are used. The results of the research examining the relationship between agencies and authorial publications in the online news dailies Delfi.lt and Lrytas.lt published the most agency news. Sports journalists used the most used the interview genre – 116 times. It turned out that sports journalists mostly published news about Lithuanians competing in the Olympics, rather that foreign athletes. It became clear that sports journalists, when writing publications about Lithuanian athletes used expressive headlines at the Winter Olympics. Analyzing the tone of the presentation of expressive headlines, it became clear that mostly used the negative tone in their authorial publications about Lithuanian athletes.

Heterogeneous Diffusion of Government Microblogs and Public Agenda Networks during Public Policy Communication in China.

During public policy information diffusion, policy interpretation on government microblogs and public attention interact, but there are certain differences. We construct a research framework for the heterogeneous diffusion of public policy information on government microblogs. An empirical study is conducted based on the Network Agenda Setting (NAS) model. First, a combination of topic mining and content analysis is used to identify the issues discussed by government microblogs and citizens. Then, we use the importance of nodes in Degree Structure (DS) and Flow Structure (FS) entropy to measure their attention to different issues. Finally, the Quadratic Assignment Procedure (QAP) correlation and regression analysis explore the degree of heterogeneity and causal relationship between government microblog agenda networks (GMANs) and public agenda networks (PANs). We find that GMANs influence PANs and the degree of heterogeneity between them is relatively low at the beginning of policy implementation. However, as government microblogs reveal positive effects of policy implementation, they fail to influence PANs effectively, and there is a greater degree of heterogeneity between them. Moreover, PANs do not significantly affect GMANs. The dynamic leading relationship between GMANs and PANs in public policy diffusion is clarified, helping to shape the image of digital government in public opinion.

The policy process of adopting environmental standards for coal plants in India: accommodating transnational politics in the Multiple Streams Framework

This article provides an important international empirical application of the multiple-streams framework with some theoretical additions that make a novel contribution to the existing scholarship in this field. Using a modified multiple-streams approach (MSA) that extends Kingdon’s original agenda setting model to the decision-making stage, we analyse and explain an empirical puzzle in the context of the environmental regulation of coal-fired power plants, considered central to India’s economic development. The puzzle involves both the content – a stringency comparable to those in more developed economies – and the timing – within a year of a new national government coming to power with the promise of reviving economic growth. Our findings show how a top bureaucrat exploited the agenda window opening in the problem stream to couple the three streams, resulting in the notification of draft environmental standards. The political entrepreneurship of the same bureaucrat led to the adoption of final standards in the same form as the draft in the decision window created by developments during the period leading to the Paris climate summit. The operationalisation of the modified MSA to our empirical case generated new theoretical insights. First, we expand on the original formulation of decision stage dynamics and argue that the decision window could also open due to independent activity in any of the three streams. Second, we argue that transnational politics could act as an additional factor in the ripening of the political stream at the decision stage.

It’s not an encyclopedia, it’s a market of agendas: Decentralized agenda networks between Wikipedia and global news media from 2015 to 2020

Many innovative forms of media entered the online mediascape and can potentially set public agendas. This study drew on peer-produced news content on Wikipedia and theorized its unprecedented agenda building power within a network of diverse media sources. Adopting the network agenda-setting model, this study collected comprehensive global news coverage and Wikipedia coverage of top US political news events from 2015 to 2020. Time series analysis found that none of the media types (Wikipedia, elite media, and non-elite media) exhibited dominant agenda-setting power, while each of them can lead the agenda in certain circumstances. Wikipedia was a critical agenda setter for other media entities, and it also reflected the public’s collective evaluation of existing news agendas from multiple sources. This article proposed a multi-agent and multidirectional network architecture to describe agenda-setting relationships. We also highlighted four unique characteristics of Wikipedia that matter for digital journalism.

The application of network agenda setting model during the COVID-19 pandemic based on latent dirichlet allocation topic modeling.

Based on Network Agenda Setting Model, this study collected 42,516 media reports from Party Media, commercial media, and We Media of China during the COVID-19 pandemic. We trained LDA models for topic clustering through unsupervised machine learning. Questionnaires (N = 470) and social network analysis methods were then applied to examine the correlation between media network agendas and public network agendas in terms of explicit and implicit topics. The study found that the media reports could be classified into 14 topics by the LDA topic modeling, and the three types of media presented homogeneity in the topics of their reports, yet had their own characteristics; there was a significant correlation between the media network agenda and the public network agenda, and the We Media reports had the most prominent effect on the public network agenda; the correlation between the media agenda and the implicit public agenda was higher than that of the explicit public agenda. Overall, findings showed a significant correlation between network agendas among different media.

Opini Warganet mengenai Moderasi Beragama dalam Percakapan Twitter

The purpose of the study was to describe the opinions of influencers in netizen conversations on Twitter regarding religious moderation. The research uses public opinion, agenda setting models, and the spiral of silence to analyze opinions and topics discussed by Mega influencers, Macro influencers, Micro influencers, and Nano influencers. This study uses a qualitative approach with a descriptive content analysis method. Research data obtained using NVivo with the keyword religious moderation. Research results: Most of the public opinion of influencers on twitter are positive. In the account of the nano-influencer, 11 accounts have a negative tone, and 1 account has a neutral tone regarding religious moderation. This study concludes that religious moderation is a government agenda that is socialized through the Ministry of Religion of the Republic of Indonesia and all its staff. The parties who have different opinions, only a small part express their disapproval of the religious moderation program through Twitter.

Sequential referenda with sophisticated voters

This paper extends the Romer-Rosenthal agenda setting model to a two-period setting with sophisticated Voters and uncertainty about Voter preferences. If the Setter’s first proposal is rejected, the Setter will make a second proposal. Sophisticated Voters will anticipate the second proposal in responding to the first proposal. The Setter takes their sophistication into account in making the first proposal. We compare outcomes when the Setter faces the same Voters in the two periods with outcomes when the Setter faces different Voters in the two periods, and compare both with the corresponding outcomes with naïve Voters. For some distributions of Voter preferences, Voter sophistication eliminates the benefit to the Setter from having two opportunities; for others, the Setter can exploit the sophistication of Voters to do even better than when Voters are naïve. Whether Voters are sophisticated or naïve, the Setter always does at least as well with two opportunities than with one, but does not always do better. Moreover, because the preferences of the Setter and of the Voters are not directly opposed, the Voters may also do better when the Setter has two opportunities rather than one.

Divided committees and strategic vagueness

Recent research has found that central bank communications affect outcomes, for example, by moving financial markets and shaping inflation expectations. Missing from the literature is an understanding of why the content of communications varies in the first place. We present an agenda setting model of a monetary policy committee (MPC) with committee members who bargain over the degree of vagueness in central bank communications. We generate hypotheses about the types of MPCs that are expected to produce more or less vague communications. We test our propositions empirically using data from the U.S. Federal Open Market Committee (FOMC) during Arthur Burns’s tenure (1970–1978) and find evidence that the FOMC uses vaguer language when the committee chair and median committee member have aligned preferences than when their biases are opposed. Our results show that the institutional design of the MPC matters for the level of vagueness committees communicate.

The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis.

BackgroundLittle is known about the role of the World Health Organization (WHO) in communicating with the public on social media during a global health emergency. More specifically, there is no study about the relationship between the agendas of the WHO and Twitter users during the COVID-19 pandemic.ObjectiveThis study utilizes the network agenda-setting model to investigate the mutual relationship between the agenda of the WHO’s official Twitter account and the agenda of 7.5 million of its Twitter followers regarding COVID-19.MethodsContent analysis was applied to 7090 tweets posted by the WHO on Twitter from January 1, 2020, to July 31, 2020, to identify the topics of tweets. The quadratic assignment procedure (QAP) was used to investigate the relationship between the WHO agenda network and the agenda network of the 6 Twitter user categories, including “health care professionals,” “academics,” “politicians,” “print and electronic media,” “legal professionals,” and the “private sector.” Additionally, 98 Granger causality statistical tests were performed to determine which topic in the WHO agenda had an effect on the corresponding topic in each Twitter user category and vice versa.ResultsContent analysis revealed 7 topics that reflect the WHO agenda related to the COVID-19 pandemic, including “prevention,” “solidarity,” “charity,” “teamwork,” “ill-effect,” “surveillance,” and “credibility.” Results of the QAP showed significant and strong correlations between the WHO agenda network and the agenda network of each Twitter user category. These results provide evidence that WHO had an overall effect on different types of Twitter users on the identified topics. For instance, the Granger causality tests indicated that the WHO tweets influenced politicians and print and electronic media about “surveillance.” The WHO tweets also influenced academics and the private sector about “credibility” and print and electronic media about “ill-effect.” Additionally, Twitter users affected some topics in the WHO. For instance, WHO followers affected “charity” and “prevention” in the WHO.ConclusionsThis paper extends theorizing on agenda setting by providing empirical evidence that agenda-setting effects vary by topic and types of Twitter users. Although prior studies showed that network agenda setting is a “one-way” model, the novel findings of this research confirm a “2-way” or “multiway” effect of agenda setting on social media due to the interactions between the content creators and audiences. The WHO can determine which topics should be promoted on social media during different phases of a pandemic and collaborate with other public health gatekeepers to collectively make them salient in the public.

Explaining radical policy change: Norwegian climate policy and the ban on cultivating peatlands

For decades Norwegian climate policy has largely ignored the agricultural sector and focused on cost-effective emission reductions abroad. Yet in June 2020, Norway decided to ban the cultivation of peatlands to protect critical carbon sinks, and the issue became ‘high politics’. We explain this radical policy change by combining an adapted version of the Multiple Streams framework with the Punctuated Equilibrium model of agenda-setting. We argue that the two models combined can provide a holistic explanatory framework, albeit with two revisions. Firstly, the window of opportunity or punctuation was in our case of a longer duration than both models anticipate. Secondly, we find that multiple complete couplings can take place within the opening of a policy (or more specifically, a decision) window. Both findings can be explained by party competition, thus underlining the need to revise agenda-setting models to better account for party politics.

Issue-attention Cycles in Planning Studies

Issue-attention cycles are commonly observed in media and politics, but not in science and humanities. However, in geography and planning studies we do see how certain topics emerge and become fashionable while others slowly fade away from the academic agenda. So far, there are no models that explain the ups and downs of issues in planning research. In this paper we explore the question of how issues attract the attention of the scientific community in the field of planning. We start by reviewing respective sociology of science-literature and suggesting to supplement it with agenda setting-models. We then investigate the development of the issues “shrinking cities” and “climate change” by interpreting social and cognitive networks in both scientific discourses. On this basis we analyse, how individual researchers and scientific communities select research topics. Eventually we discuss the pros and cons of issue-attention cycles in science.

Inter-Media Agenda Setting between Twitter and News-Websites: A Case Study of The Turkish President’s Visit to Pakistan

The current study analyzes Inter-Media agenda setting between Twitter and Newspaper websites in the political sphere. As a data collection method, keyword searches were used. Lexis-Nexis was used to collect data from newspaper websites, while Twitter APIs were used to collect data from social media. The study’s goal is to put inter-media agenda-setting to the test by using a one-day time lag between Twitter and newspaper websites. The cross-lagged correlation and Rozelle-Campbell baseline are used to assess the significance of Twitter agenda influence on the contents of newspaper websites. Overall, the results show that there is synchronization between Twitter and newspaper websites when it comes to political coverage (Express Tribune r=0.843, The Nation r=0.734, and The News International r=0.828). These shards of evidence support the research study’s hypothesis: “It is more likely that there is a bi-directional agenda setting sequence in the case of Pakistani political issues between social media and newspaper websites.” It also suggests that social media and traditional media are becoming more integrated. According to the study, Twitter was also used to create a priming effect by activating “Ottoman Empire” nostalgia. In light of the study’s findings, the integrated Inter-Media agenda setting model is proposed. This model integrates the agenda creation and accumulation processes.

Key Words Associated with the COVID-19 Pandemic. Comparing the Media and the Public Agenda

Based on recent ramifications of the traditional agenda-setting model, this paper aims at analyzing the convergence of the media and the public agenda in times of crisis. Specifically, drawing upon the network agenda-setting theory, this article explores the main key words associated with COVID-19—related topics in both the media and the public agendas. Main findings suggest that the media used context dependent key words to refer to the pandemic. At the beginning of the pandemic, in March 2020, both television and online news stories referred to issues related to the vi- rus itself, to the measures taken to limit its spread, and to some medical conditions, while in January 2021 media focused on key words related to vaccination and immunization. In terms of public agenda, results show that people tended to refer to pandemic-related issues mainly in negative terms, due to both media exposure and, presumably, personal experiences. These results offer valuable insights into the dynamics of both media and public agenda in the context of the COVID-19 pandemic, providing fertile ground for better understanding how media shape several public attitudes and behaviors.

Generating Political Priority for Primary Health Care Reform in Romania

ABSTRACT This paper examines how political priority was generated for comprehensive reforms to address inequitable access to high-quality primary health care (PHC) in Romania. We apply John Kingdon’s model of political agenda setting to explore how the convergence of problems, solutions, and political developments culminated in the adoption of a government program that included critical PHC reforms and approval of a results-based funding instrument for implementation. We draw on a review of the gray and peer-reviewed literature and stakeholder consultations, and use content analysis to identify themes organized in line with the dimensions of Kingdon’s model. We conclude this paper with three lessons that may be relevant for generating political priority for PHC reforms in other contexts. First, national PHC reforms are likely to be prioritized when there is political alignment of health reforms with the broader political agenda. Second, the availability of technically sound and feasible policy proposals makes it possible to seize the political opportunity when the window opens. Third, partners’ coordinated technical and financial support for neglected issues can serve to raise their priority on the political agenda.

ANALISIS AGENDA SETTING PROSES PEMEKARAN WILAYAH KELURAHAN KADIPIRO, KECAMATAN BANJARSARI, KOTA SURAKARTA

The division of the Kadipiro Village area was a policy taken by the Surakarta City Government in 2017 as a way to overcome the large population and territorial problems in this area. However, in the formulation of this policy it is known that there are various problems, including the prblem of relatively small span of control in each village in Surakarta, the composition of staffing in the Regional Governmet of Surakarta is no longer proportional, and there is a provision for a minimum area as a requiremt for regional expansion which is not fulfilled. This study aims to analyze the agenda setting process in the regional expansion policy at Kadipiro and determine the agenda setting model in the policy making process. The research method is qualitative research with a descriptive approach. As for the data collection techniques carried out through interviews and analysis of supporting documents. The research showed that the agenda setting process in the regional expansion in Kadipiro Village was still not going well, where various problems were found in several phenomena. In the initial process of discussing the expansion policy proposal, there were a number of Kadipiro Village residents who rejected the proposal. Another problems that arisesoccurs in the technocratic process, as well as the dynamics of discussion among stakeholders where policy actors are aware that there is one of requirements that cannot be fulfilled for Kadipiro Village to continue regional expansion but the use of population indicators and PP Number 78/2007 as an additional assessmet measure which is then uses as a rationalization for the consideration to continue the policy. Besed on the discussion process, the agenda for setting up the expansion of Kadipiro Village is included in the persuasive model. As for the initiative and expansion of the issue, the agenda setting of Kadipiro Village included in a model of outside initiative model.

Media coverage and public perceptions of the THAAD event in China, the United States, and South Korea: a cross-national network agenda-setting study

Based on original data gathered from China, the United States, and South Korea, this study explores the relationship between media representations and public opinions concerning the deployment of the Terminal High Altitude Area Defense (THAAD) system in South Korea. Further, this study validates the network agenda-setting (NAS) model in multiple social contexts. This study’s supportive results confirm the NAS effects on both implicit and explicit public agendas, further expanding current NAS research. From a cross-nationally comparative perspective, this study investigates how NAS effects vary across countries, which is particularly important in the age of globalization, offering valuable contributions to an improved understanding of the NAS model. The study’s findings illustrate substantial differences between media agendas and variations in the NAS effects across countries, providing empirical evidence of national traits as potential contingent agenda-setting conditions.

Exploring inter-media agenda-setting effects: Network agenda-setting model by using big-data analysis

Exploring inter-media agenda-setting effects: Network agenda-setting model by using big-data analysis

Exploratory analysis of factors affecting on elite sport policy agenda setting phrase: Korean policies for elite sport athlete identification and development

Purpose This research aims to find out factors affecting policy at the agenda setting phrase. In order to analyze, Multiple Streams Framework(MSF) was adopted. Based on the frame, policy problem stream, policy alternative stream, political stream, window of policy change, and policy entrepreneur were applied for analytical framework. Methods The research conducted qualitative research with triangulation. Data were collected by in-depth interview and literature review including newspaper and previous researches. Content analysis was done for deriving factors. Then categorization and itemization were conducted. Results For the result, factors derived from the study were not different from factions mentioning at MSF. For policy problem stream perspective, this study draw International Sports Event Result, Hosting International Sports Event, Elite Sports Athletic Recruiting, Athletic and Sports Category Supporting System, Student Study Right/Student Human Right/Sports Academy, Policy Reality, Sport Expert/Institute Capability, Perception of Elite Sport Origin. factors. In the case of Policy Alternative Stream, This study finds Sports Related Administrative Organization Restructure, Supporting Policy of Elite Athletic Promoting Restructure, Parent Policy of Elite Athletic Promoting Policy, Parent Institution of Elite Athletic Promoting Law, Incentive Institution for Elite Athletic, Supporting Institution for Elite Athletic, Value of Policy Community for Sports Category Feature, Value of Policy Community for Sports Category Fairness, Budget, International Sports Event Hosting Policy factors. Lastly, in the political perspective, this study figures out Elite Sports for Nation Integration, Elite Sports for Enhancing National Prestige (North and South Replacement), Elite Sports for Inter Korean Reconciliation and Cooperation, Sports Related Administrative Organization Restructure Following Regime Change, Parent Policy Change of Elite Sports Following Regime Change factors. Conclusions The research has academic implication for generating elite sport policy agenda setting model as well as practical implication for urging effective participation of various practitioners concerning elite sport.

Delineating the Transnational Network Agenda-Setting Model of Mainstream Newspapers and Twitter: A Machine-Learning Approach

ABSTRACT The months-long anti-extradition bill movement in Hong Kong has gained worldwide attention. Grounded in the network agenda-setting (NAS) model, this study utilizes a machine-learning approach to analyze the related coverage of mainstream newspapers in Hong Kong, Mainland China, the U.S. and the U.K. (N = 2118), as well as discussions on Twitter (N = 152,509). Network visualizations showed that each media utilized a unique approach to highlight and connect the substantive and affective attributes. Time-series analyses revealed an overall reciprocal whilst asymmetrical association between the newspapers and Twitter, in which the latter exhibited a stronger influence on the former, particularly in terms of substantive attribute agendas. Yet, Twitter’s impact shrank in terms of the affective attribute agendas and the NAS models. Newspapers, though exerted rather limited impact on Twitter, maintained a certain extent of independence in setting their affective attribute agendas and NAS models. This study enriches the NAS literature through combining substantive and affective attributes in semantic networks.