scholarly journals Chiming In: A Computer-Assisted Analysis of Popular Musicians’ Political Engagement on Twitter

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110190
Author(s):  
Josephine Lukito ◽  
Luis Loya ◽  
Carlos Dávalos ◽  
Jianing Li ◽  
Chau Tong ◽  
...  

While music as an artistic form is well studied, the individuals behind the art receive relatively less attention. In this article, we provide evidence of celebrity advocacy with a systematic examination of musicians’ political engagement on Twitter. This study estimates the extent to which musicians use Twitter for political purposes, with particular attention to whether such engagement varies across music genres. Through a computational-assisted analysis of 2,286,434 tweets, we group 881 musicians into three categories of political engagement on Twitter: not engaged (comprising the majority of artists), circumstantial engagement, and active political engagement. We examine the latter categories in detail with two qualitative case studies. The findings indicate that musicians from different genres have distinct patterns of political engagement. The Christian music genre shows the most engagement as a whole, especially in philanthropy. On the contrary, the most active accounts are rock and hip-hop artists, some of whom discuss political issues and call for mobilization. We conclude with suggestions for future research.

Author(s):  
Sabine Andresen ◽  
Sascha Neumann ◽  
Ulrich Schneekloth

AbstractThis paper deals with perceptions, encounters and experiences of children with refugees and refugee children in Germany. It is based on the Fourth World Vision Children Study, which is regularly conducted in Germany since 2007. The study is based on a representative survey among 6- to 11-year-old children, which was combined with qualitative case studies and focuses on children´s well-being, their fears, their concerns as well as their attitudes toward other societal groups and contemporary political issues. For the survey of the Fourth World Vision Children Study, in the questionnaire there were also items included which should allow collecting data on children´s encounters and experiences with refugees, and particularly refugees who are their peers. This paper presents the approach taken in the study and how it is embedded conceptually in childhood studies before reporting and discussing selected findings on the experiences of children in Germany with refugees in their neighbourhood and among their peers. The findings presented in this paper refer to contact as well as interactions and opportunities for establishing friendships between refugee and non-refugee children. This is followed by a discussion of the implications these findings have in terms of consequences for supporting refugee children when arriving at Germany. In the conclusion, we will finally point out the implications of our study for the broader field of childhood studies in social sciences.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akira Higashida

Purpose This study aims to clarify systematically the contribution of material flow cost accounting (MFCA) to green supply chain management (GSCM) by examining the coordination mechanisms. Design/methodology/approach Two qualitative case studies are conducted in a major Japanese manufacturing company, which introduced MFCA in two different supply chains. The concept of coordination mechanisms in supply chain management is used to consolidate the understanding on the usefulness of MFCA in GSCM. Findings The study’s findings reveal the significant role played by MFCA in coordinating material flows and eliminating sub-optimization in the supply chain from both economic and environmental perspectives. Furthermore, the focal company in the chain has an important role as the MFCA leader in implementing MFCA in the chain. In particular, the environmental department can eliminate suppliers’ concerns regarding opportunistic buyer behaviors and focus on material flows across the supply chain. Research limitations/implications The study highlights the possibility of reviewing existing transactions by coordinating material flows. This is a new direction for the adoption of MFCA in GSCM. In addition, although the study highlights the importance of the environmental department as an MFCA leader, future research is necessary to establish this aspect with greater precision. Practical implications The two case studies discussed in this paper demonstrate the usefulness of MFCA expansion into the supply chain, as well as information sharing and progression, in the development of GSCM. Social implications This study will contribute to enhance the green supply chain by implementing MFCA. Originality/value This study indicates that MFCA can potentially reveal the material losses caused by sub-optimization and provide information to avoid sub-optimization in decision-making. Moreover, it highlights the importance of the environmental department as an MFCA leader.


Author(s):  
M Wessendorf ◽  
A Beuning ◽  
D Cameron ◽  
J Williams ◽  
C Knox

Multi-color confocal scanning-laser microscopy (CSLM) allows examination of the relationships between neuronal somata and the nerve fibers surrounding them at sub-micron resolution in x,y, and z. Given these properties, it should be possible to use multi-color CSLM to identify relationships that might be synapses and eliminate those that are clearly too distant to be synapses. In previous studies of this type, pairs of images (e.g., red and green images for tissue stained with rhodamine and fluorescein) have been merged and examined for nerve terminals that appose a stained cell (see, for instance, Mason et al.). The above method suffers from two disadvantages, though. First, although it is possible to recognize appositions in which the varicosity abuts the cell in the x or y axes, it is more difficult to recognize them if the apposition is oriented at all in the z-axis—e.g., if the varicosity lies above or below the neuron rather than next to it. Second, using this method to identify potential appositions over an entire cell is time-consuming and tedious.


Author(s):  
Marlene Kunst

Abstract. Comments sections under news articles have become popular spaces for audience members to oppose the mainstream media’s perspective on political issues by expressing alternative views. This kind of challenge to mainstream discourses is a necessary element of proper deliberation. However, due to heuristic information processing and the public concern about disinformation online, readers of comments sections may be inherently skeptical about user comments that counter the views of mainstream media. Consequently, commenters with alternative views may participate in discussions from a position of disadvantage because their contributions are scrutinized particularly critically. Nevertheless, this effect has hitherto not been empirically established. To address this gap, a multifactorial, between-subjects experimental study ( N = 166) was conducted that investigated how participants assess the credibility and argument quality of media-dissonant user comments relative to media-congruent user comments. The findings revealed that media-dissonant user comments are, indeed, disadvantaged in online discussions, as they are assessed as less credible and more poorly argued than media-congruent user comments. Moreover, the findings showed that the higher the participants’ level of media trust, the worse the assessment of media-dissonant user comments relative to media-congruent user comments. Normative implications and avenues for future research are discussed.


Author(s):  
James McElvenny

This chapter sets the scene for the case studies that follow in the rest of the book by characterising the ‘age of modernism’ and identifying problems relating to language and meaning that arose in this context. Emphasis is laid on the social and political issues that dominated the era, in particular the rapid developments in technology, which inspired both hope and fear, and the international political tensions that led to the two World Wars. The chapter also sketches the approach to historiography taken in the book, interdisciplinary history of ideas.


Author(s):  
Patrícia Rossini ◽  
Jennifer Stromer-Galley

Political conversation is at the heart of democratic societies, and it is an important precursor of political engagement. As society has become intertwined with the communication infrastructure of the Internet, we need to understand its uses and the implications of those uses for democracy. This chapter provides an overview of the core topics of scholarly concern around online citizen deliberation, focusing on three key areas of research: the standards of quality of communication and the normative stance on citizen deliberation online; the impact and importance of digital platforms in structuring political talk; and the differences between formal and informal political talk spaces. After providing a critical review of these three major areas of research, we outline directions for future research on online citizen deliberation.


2021 ◽  
Vol 14 (3) ◽  
pp. 1-26
Author(s):  
Andrea Asperti ◽  
Stefano Dal Bianco

We provide a syllabification algorithm for the Divine Comedy using techniques from probabilistic and constraint programming. We particularly focus on the synalephe , addressed in terms of the "propensity" of a word to take part in a synalephe with adjacent words. We jointly provide an online vocabulary containing, for each word, information about its syllabification, the location of the tonic accent, and the aforementioned synalephe propensity, on the left and right sides. The algorithm is intrinsically nondeterministic, producing different possible syllabifications for each verse, with different likelihoods; metric constraints relative to accents on the 10th, 4th, and 6th syllables are used to further reduce the solution space. The most likely syllabification is hence returned as output. We believe that this work could be a major milestone for a lot of different investigations. From the point of view of digital humanities it opens new perspectives on computer-assisted analysis of digital sources, comprising automated detection of anomalous and problematic cases, metric clustering of verses and their categorization, or more foundational investigations addressing, e.g., the phonetic roles of consonants and vowels. From the point of view of text processing and deep learning, information about syllabification and the location of accents opens a wide range of exciting perspectives, from the possibility of automatic learning syllabification of words and verses to the improvement of generative models, aware of metric issues, and more respectful of the expected musicality.


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