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      Efectos del confinamiento y la pandemia en los anuncios emitidos en las dos principales cadenas de televisión privadas en España Translated title: Effects of Lockdown and the Pandemic on Spots Broadcast on the Two Leading Private TV Channels in Spain Translated title: Efeitos do confinamento e da pandemia nos anúncios emitidos nas duas principais redes de televisão privadas na Espanha

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          Abstract

          Resumen Este artículo pretende saber cómo cambiaron los patrones publicitarios en la televisión española durante el confinamiento. Así, el objetivo principal es conocer qué tipos de anuncios se emitieron en España durante el confinamiento en comparación con las semanas previas, posteriores y el mismo periodo del año anterior. Para ello, se realizó un estudio de los anuncios (spots) emitidos en las dos principales cadenas de televisión comerciales: Antena 3 y Telecinco, para lo que se extrajeron los datos a través de la aplicación Instar Analytics de Kantar Media, empresa de audimetría en España. Se analizó un total de 191.738 anuncios, de los que 2.107 fueron diferentes y el resto repeticiones. A modo de conclusión, la emisión de anuncios durante el confinamiento replicó las pautas de consumo del momento en lugar de intentar contrarrestarlas: aquellas industrias que pudieron continuar su actividad ganaron peso en detrimento de la publicidad de aquellas cuya actividad se paralizó en mayor medida.

          Translated abstract

          Abstract This article seeks to know how the advertising patterns in Spain changed during the lockdown. Thus, the main goal is to discover what type of spots were broadcasted in Spain during the lockdown in comparison with the previous and posterior weeks, as well as with the same period of the previous year. For that, we conducted a study of the spots broadcasted in the two main commercial networks, Antena 3 and Telecinco; the data were collected using the Instar Analytics application of Kantar Media, the company in charge of measuring audience in Spain. A total of 191,738 spots were analyzed, from which 2,107 were different and the rest repetitions. In conclusion, the broadcasting of spots during the lockdown followed the consumption patterns of those days instead of countering: those industries that could continue their activity gained presence, whereas those whose activity had to spot lost it.

          Translated abstract

          Resumo Neste artigo, pretende-se conhecer como os padrões publicitários na televisão espanhola mudaram durante o confinamento. Assim, o objetivo principal é conhecer que tipo de anúncios foram emitidos na Espanha durante o confinamento em comparação com as semanas prévias, posteriores e o mesmo período do ano anterior. Para isso, foi realizado estudo dos comerciais emitidos nas duas principais redes de televisão comerciais: Antena 3 e Telecinco, para que os dados fossem extraídos por meio do aplicativo Instar Analytics de Kantar Media, empresa de audiometria na Espanha. Foram analisados 191 738 anúncios, dos quais 2 107 foram diferentes e o restante repetições. Conclui-se que a emissão de anúncios durante o isolamento repetiu as pautas de consumo do momento em vez de tentar se opor a elas: aquelas indústrias que puderam continuar sua atividade ganharam peso em comparação com a publicidade daquelas que tiveram sua atividade paralisada em maior medida.

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          COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis

          Abstract. Infodemics, often including rumors, stigma, and conspiracy theories, have been common during the COVID-19 pandemic. Monitoring social media data has been identified as the best method for tracking rumors in real time and as a possible way to dispel misinformation and reduce stigma. However, the detection, assessment, and response to rumors, stigma, and conspiracy theories in real time are a challenge. Therefore, we followed and examined COVID-19–related rumors, stigma, and conspiracy theories circulating on online platforms, including fact-checking agency websites, Facebook, Twitter, and online newspapers, and their impacts on public health. Information was extracted between December 31, 2019 and April 5, 2020, and descriptively analyzed. We performed a content analysis of the news articles to compare and contrast data collected from other sources. We identified 2,311 reports of rumors, stigma, and conspiracy theories in 25 languages from 87 countries. Claims were related to illness, transmission and mortality (24%), control measures (21%), treatment and cure (19%), cause of disease including the origin (15%), violence (1%), and miscellaneous (20%). Of the 2,276 reports for which text ratings were available, 1,856 claims were false (82%). Misinformation fueled by rumors, stigma, and conspiracy theories can have potentially serious implications on the individual and community if prioritized over evidence-based guidelines. Health agencies must track misinformation associated with the COVID-19 in real time, and engage local communities and government stakeholders to debunk misinformation.
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            Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China

            Coronavirus (COVID-19) is a humanitarian emergency, which started in Wuhan in China in early December 2019, brought into the notice of the authorities in late December, early January 2020, and, after investigation, was declared as an emergency in the third week of January 2020. The WHO declared this as Public Health Emergency of International Concern (PHEIC) on 31th of January 2020, and finally a pandemic on 11th March 2020. As of March 24th, 2020, the virus has caused a casualty of over 16,600 people worldwide with more than 380,000 people confirmed as infected by it, of which more than 10,000 cases are serious. Mainly based on Chinese newspapers, social media and other digital platform data, this paper analyzes the timeline of the key actions taken by the government and people over three months in five different phases. It found that although there was an initial delay in responding, a unique combination of strong governance, strict regulation, strong community vigilance and citizen participation, and wise use of big data and digital technologies, were some of the key factors in China’s efforts to combat this virus. Being inviable and non-measurable (unlike radioactive exposure), appropriate and timely information is very important to form the basic foundation of mitigation and curative measures. Infodemic, as it is termed by WHO, is a key word, where different stakeholder’s participation, along with stricter regulation, is required to reduce the impact of fake news in this information age and social media. Although different countries will need different approaches, focusing on its humanitarian nature and addressing infodemic issues are the two critical factors for future global mitigation efforts.
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              Fake News and COVID-19: Modelling the Predictors of Fake News Sharing Among Social Media Users

              Highlights • Social media, fake news and COVID-19. • Misinformation on social media has fuelled panic among members of the public regarding the COVID-19. • Altruism is the strongest predictor of false news sharing on COVID-19 among social media users. • Information sharing, socialization, information seeking and pass time is positively associated with sharing false information on COVID-19. • Utilizing social media to entertain oneself is not associated with sharing fake news on COVID-19.
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                Author and article information

                Journal
                pacla
                Palabra Clave
                Palabra Clave
                Universidad de La Sabana (Chia, Cundinamarca, Colombia )
                0122-8285
                2027-534X
                March 2022
                : 25
                : 1
                : e2512
                Affiliations
                [2] Castilla y León orgnameUniversidad de Salamanca Spain carcila@ 123456usal.es
                [3] Madrid orgnameUniversidad Camilo José Cela Spain jgallardo@ 123456ucjc.edu
                [1] Castilla y León orgnameUniversidad de Salamanca Spain david.blanco.herrero@ 123456usal.es
                Article
                S0122-82852022000102512 S0122-8285(22)02500102512
                10.5294/pacla.2022.25.1.2
                fd472892-54d9-48cc-9473-ab27e8b61dfc

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 03 November 2021
                : 26 April 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 0
                Product

                SciELO Colombia

                Categories
                Artículos

                commercial television,vírus,televisão comercial,publicidade na televisão,pandemia,Consumidor,virus,televisión comercial,publicidad televisada,television advertising,pandemics,Consumers

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