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Twitter as a Tool for Citizen Education and Sustainable Cities after COVID-19

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TLDR
This paper analyzed the connections between new climate awareness arising from the COVID-19 crisis, proposals of sustainable citizenship around the world, and its communication on Twitter to educate the new eco-conscious audience.
Abstract
The social confinement resulting from the COVID-19 crisis temporarily reduced greenhouse gas emissions. Although experts contend that the decrease in pollution rates was not drastic, some surveys detect growth in social concern about the climate. In this new climate-conscious environment, municipalities and local governments are promoting a new way of living and caring for cities, even before they can regain national and international freedom of movement. This work analyzes the connections between new climate awareness arising from the COVID-19 crisis, proposals of sustainable citizenship around the world, and its communication on Twitter to educate the new eco-conscious audience. The methodology mixes quantitative and qualitative analysis, using the Twitonomy Premium tool and the Twitter research tool with data extracted at the end of December 2020. Among the top ten most influential and active accounts, the results show educational institutions, local institutions, companies, neighborhoods, associations, and influencers. The impossibility of living in the city has not prevented citizen education and commitment to make real change for when that city and its citizens return to normality. However, this new normality must be different: more ecological, more responsible, more sustainable, and practiced from early childhood.

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The impact of COVID-19 pandemic on sustainable development goals - A survey.

TL;DR: In this paper, the impact of the COVID-19 pandemic on sustainability in the Web of Science database was explored systematically by using bibliometrics techniques and meta-analysis approach.
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The Development of the Competency of “Cultural Awareness and Expressions” Using Movie-Induced Tourism as a Didactic Resource

TL;DR: Universidad Europea de Madrid, MIECAT (Metodologia de Interpretacion del Patrimonio Cultural Europeo a traves de Atracciones Turisticas) as mentioned in this paper.
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Dilemmas Between Freedom of Speech and Hate Speech: Russophobia on Facebook and Instagram in the Spanish Media

TL;DR: In this paper , the authors explore and comment on the state of the art on freedom of expression in social networks and its deontological limitations to prevent hatred against nationalities, and study the emergence of possible cases of Russophobia, in a mediatized form, through the news of Spanish media and the comments generated on their Facebook and Instagram sites.
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Machine Learning-Aided Causal Inference Framework for Environmental Data Analysis: A COVID-19 Case Study.

TL;DR: In this paper, a causal inference framework equipped with the structural causal model aided by machine learning methods was proposed and applied to examine the potential causal relationships between COVID-19 severity and 10 environmental factors (NO2, O3, PM2.5, PM10, SO2, CO, average air temperature, atmospheric pressure, relative humidity, and wind speed) in 166 Chinese cities.
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Covid-19, un mito en la comunicación turística. Análisis de los contenidos generados por influenciadores turísticos 2.0 sobre la pandemia y en los destinos

TL;DR: In this paper , a study of the influence of influenciadores turísticos 2.0 on the derivada of the pandemia por covid-19 is presented, as well as the nivel de influencia of estos contenidos en los usuarios.
References
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TL;DR: Public health measures were decisive in controlling the SARS epidemic in 2003 but whether these measures will be sufficient to control 2019-nCoV depends on addressing some unanswered questions.
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