Meet the critics: Analyzing the EU Commission's Regulatory Scrutiny Board through quantitative text analysis

2020 ◽  
Author(s):  
Roman Senninger ◽  
Jens Blom‐Hansen
Keyword(s):  
Text Analysis ◽  
Regulatory Scrutiny ◽  
Quantitative Text Analysis ◽  
The Eu

scholarly journals Towards Holistic Governance of China’s E-Waste Recycling: Evolution of Networked Policies

2020 ◽  
Vol 17 (20) ◽  
pp. 7407
Author(s):  
Xiuli Yang ◽  
Xin Miao ◽  
Jinli Wu ◽  
Ziwei Duan ◽  
Rui Yang ◽  
...  
Keyword(s):  
Content Analysis ◽  
Text Analysis ◽  
Electronic Waste ◽  
Waste Recycling ◽  
Chinese Government ◽  
Central Question ◽  
Electronic Products ◽  
Policy Documents ◽  
Quantitative Text Analysis ◽  
Evolution Tendency

Electronic products are being updated and replaced much faster and there is therefore an increasing growth in electronic waste (e-waste). In order to promote professional recycling of e-waste, the relevant government departments of China have published a series of policies. This paper aims to unearth the evolution tendency of the networked policies towards holistic governance of China’s e-waste recycling. Content analysis, quantitative text analysis and network analysis are applied to analyze relevant policy documents from 2001 to 2016. This paper illustrates evolution of policy themes, evolution of intergovernmental relationships, and evolution of policy relations. This study reveals policy intentions, maps policy progress, and unearths governance philosophy, providing an overall understanding of the policy ways by which the Chinese government has deployed its guiding strategies on professional recycling of e-waste. This paper illustrates how to approach holistic governance from perspective of networked policies, contributing to answering the central question of holistic governance about how to achieve it.

scholarly journals Framing the mass media: Exploring fake news as a frame embedded in political discourse

2019 ◽  
Vol 4 (1) ◽  
pp. 57-76
Author(s):  
Jan R. Riebling ◽  
Ina von der Wense
Keyword(s):  
Social Context ◽  
Mass Media ◽  
Text Analysis ◽  
Political Discourse ◽  
Alternative Media ◽  
Political Orientation ◽  
Fake News ◽  
Recent Growth ◽  
News Frame ◽  
Quantitative Text Analysis

The recent growth of alternative media sites and sources has also seen the rise of an aggressive rhetoric decrying mass media or parts thereof as being untrustworthy and politically biased. While it is unclear whether the fake news debate is directly connected with this, it is surely a framing of mass media. In this article, we use techniques of quantitative text analysis in order to analyse how the fake news frame is structured and to understand its central determinants in terms of social context and political orientation. Using quantitative text analysis, we analyse the frame usage and semantic embeddedness in eight blogs. We find evidence for a generalised frame that tends to be independent of political orientation of the blog.

scholarly journals Coalition Governments and Party Competition: Political Communication Strategies of Coalition Parties

2015 ◽  
Vol 5 (2) ◽  
pp. 333-349 ◽  
Author(s):  
Iñaki Sagarzazu ◽  
Heike Klüver
Keyword(s):  
Political Communication ◽  
Text Analysis ◽  
Communication Strategies ◽  
Party Competition ◽  
Policy Agenda ◽  
Press Releases ◽  
Coalition Governments ◽  
Electoral Cycle ◽  
Close Proximity ◽  
Quantitative Text Analysis

Coalition parties have to reconcile two competing logics: they need to demonstrate unity to govern together, but also have to emphasize their own profile to succeed in elections. We argue that the electoral cycle explains whether unity or differentiation prevails. While differentiation dominates at the beginning and the end of the legislative term in close proximity to elections, compromise dominates the middle of the term when coalition governments focus on enacting a common policy agenda. To test our theoretical claims, we draw on an innovative quantitative text analysis of more than 21,000 press releases published by coalition parties from 2000 until 2010.

scholarly journals An exploration on measuring and assessing ‘Tone at the Top’ with Dutch listed companies (AEX)

2019 ◽  
Vol 93 (9/10) ◽  
pp. 297-305
Author(s):  
Bastiaan Versteeg ◽  
Robert Bertrand
Keyword(s):  
Qualitative Research ◽  
Text Analysis ◽  
Listed Companies ◽  
Close Reading ◽  
Tone At The Top ◽  
Several Variables ◽  
Supervisory Boards ◽  
The Mean ◽  
Quantitative Text Analysis ◽  
Over Time

This article explores the measurement and assessment of Tone at the Top (TATT) in CEO letters of Dutch listed companies (AEX) over a 10 year period. A combination of quantitative (text analysis) and qualitative research (close reading) is conducted. The main findings indicate that measured TATT is relatively stable for AEX companies over time. However, at closer examination significant deviations from the mean TATT are evident. Possible explanations are provided for these out-of-range TATT scores through the identification of several variables, e.g., difficult operating circumstances, investments and disinvestments, changes in the composition of supervisory boards, corporate governance, and compliance with law and regulations.

scholarly journals Priorities for Social and Humanities Projects Based on Text Analysis

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ülle Must
Keyword(s):  
Social History ◽  
Text Analysis ◽  
National Level ◽  
Final Analysis ◽  
Research Information ◽  
Member States ◽  
Auxiliary Verbs ◽  
Eu Member States ◽  
The Eu ◽  
Funding Instruments

AbstractPurposeChanges in the world show that the role, importance, and coherence of SSH (social sciences and the humanities) will increase significantly in the coming years. This paper aims to monitor and analyze the evolution (or overlapping) of the SSH thematic pattern through three funding instruments since 2007.Design/methodology/approachThe goal of the paper is to check to what extent the EU Framework Program (FP) affects/does not affect research on national level, and to highlight hot topics from a given period with the help of text analysis. Funded project titles and abstracts derived from the EU FP, Slovenian, and Estonian RIS were used. The final analysis and comparisons between different datasets were made based on the 200 most frequent words. After removing punctuation marks, numeric values, articles, prepositions, conjunctions, and auxiliary verbs, 4,854 unique words in ETIS, 4,421 unique words in the Slovenian Research Information System (SICRIS), and 3,950 unique words in FP were identified.FindingsAcross all funding instruments, about a quarter of the top words constitute half of the word occurrences. The text analysis results show that in the majority of cases words do not overlap between FP and nationally funded projects. In some cases, it may be due to using different vocabulary. There is more overlapping between words in the case of Slovenia (SL) and Estonia (EE) and less in the case of Estonia and EU Framework Programmes (FP). At the same time, overlapping words indicate a wider reach (culture, education, social, history, human, innovation, etc.). In nationally funded projects (bottom-up), it was relatively difficult to observe the change in thematic trends over time. More specific results emerged from the comparison of the different programs throughout FP (top-down).Research limitationsOnly projects with English titles and abstracts were analyzed.Practical implicationsThe specifics of SSH have to take into account—the one-to-one meaning of terms/words is not as important as, for example, in the exact sciences. Thus, even in co-word analysis, the final content may go unnoticed.Originality/valueThis was the first attempt to monitor the trends of SSH projects using text analysis. The text analysis of the SSH projects of the two new EU Member States used in the study showed that SSH's thematic coverage is not much affected by the EU Framework Program. Whether this result is field-specific or country-specific should be shown in the following study, which targets SSH projects in the so-called old Member States.

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