Comunicazione e citizen engagement. L'esperienza dell'Unione Europea attraverso i social network

2015 ◽  
pp. 85-102
Author(s):  
Letizia Lo Presti ◽  
Vittoria Marino
Comunicar ◽  
2021 ◽  
Vol 29 (69) ◽  
Author(s):  
Rafael Carrasco-Polaino ◽  
Miguel-Ángel Martín-Cárdaba ◽  
Ernesto Villar-Cirujano

Twitter has transformed into one of the main platforms for citizen engagement today. However, even though previous studies have focused on opinions about vaccines in general or about specific vaccines, opinions towards COVID-19 vaccines on Twitter have not been researched to date. The objective of this research is, by using social network analysis and language processing tools, to examine the degree to which the opinions and interactions present on Twitter are favorable or unfavorable towards the main COVID-19 vaccines. In addition, the relevance of each of the vaccines is studied, as well as their level of controversy. Likewise, the present study investigates, for the first time, the conversation from different perspectives including the content and also the participants, by analyzing in detail the verified accounts and using tools for the detection of bots. In global terms, the results from verified accounts show a moderate favorability towards the COVID-19 vaccines, the most accepted being those of Oxford-AstraZeneca, Pfizer, Moderna, and Sputnik V. On the other hand, the vaccine that attracts the most attention is the Russian Sputnik V, which is also the most controversial, behind those developed in China. Finally, verified users are shown to be relevant agents in the conversation due to their greater capacity for dissemination and reach, while the presence of bots is practically non-existent. Twitter se ha transformado en una de las principales plataformas de participación ciudadana hoy en día. Sin embargo, aun cuando estudios similares previos se han centrado en la opinión sobre las vacunas en general o sobre otras vacunas específicas, hasta la fecha no se han investigado las opiniones hacia las vacunas contra la COVID-19 en Twitter. El objetivo de esta investigación es, mediante el uso de herramientas de análisis de redes sociales y de herramientas de procesamiento del lenguaje, examinar el grado en el que las opiniones e interacciones presentes en Twitter son favorables o no hacia las principales vacunas de la COVID-19. Además, se estudia la relevancia de cada una de las principales vacunas, así como su nivel de controversia (polemicidad). Igualmente, el presente estudio investiga por primera vez la conversación no solo desde el punto de vista del contenido, sino también de los participantes que la integran, analizando en detalle las cuentas verificadas y empleando herramientas para la detección de bots. En términos globales, los resultados muestran una moderada favorabilidad hacia las vacunas de la COVID-19, siendo las más aceptadas las de Oxford-AstraZeneca, Pfizer y Moderna, y la de Sputnik V en el caso concreto de las cuentas verificadas. Por otro lado, la vacuna que más atención acapara es la rusa Sputnik V, que es además la más polémica por detrás de las de origen chino. Por último, los usuarios verificados se muestran como agentes relevantes de la conversación por su mayor capacidad de difusión y alcance, mientras que la presencia de bots es prácticamente inexistente.


2021 ◽  
Vol 940 (1) ◽  
pp. 012076
Author(s):  
R D Kusumastuti ◽  
J Rouli

Abstract The smart city concept has been implemented in countries worldwide as the solution for various urban problems. In Indonesia, the smart city movement was initiated in 2017 to create 100 smart cities. Previous studies identify challenges to the implementation and that smart people or smart citizens are essential dimensions of a smart city. This study aims to gain insights into the smart city implementation and citizen engagement in Indonesia through the online social network by conducting a focus group discussion (FGD) with four academicians and in-depth interviews (IDIs) with six representatives of the related government institutions. FGD and IDIs indicate that the implementation of smart cities should be adjusted according to the local situation. The critical success factors of the implementation are namely, local wisdom, transformational leadership, sustainability, and political content. The results also reveal that, in general, the city residents have been involved in implementing of the smart city through the online social network. However, a kind of incentive system is still required to ensure that the city residents are encouraged to solve the city problems.


2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.


2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.


Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.


2010 ◽  
Vol 9 (4) ◽  
pp. 181-194 ◽  
Author(s):  
Jürgen Weibler ◽  
Sigrid Rohn-Endres

This paper develops an understanding of how shared leadership emerges in social network interactions. On the basis of a qualitative research design (grounded theory methodology – GTM) our study in two interorganizational networks offers insights into the interplay between structures, individuals, and the collective for the emergence of shared network leadership (SNL). The network-specific Gestalt of SNL appears as a pattern of collective and individual leadership activities unified under the roof of a highly developed learning conversation. More importantly, our findings support the idea that individual network leadership would not emerge without embeddedness in certain high-quality collective processes of relating and dialogue. Both theoretical and practical implications of this original network leadership perspective are discussed.


1986 ◽  
Vol 22 (3) ◽  
pp. 310-316 ◽  
Author(s):  
Mary J. Levitt ◽  
Ruth A. Weber ◽  
M. Cherie Clark

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