Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 852
Filter
Add filters

Year range
1.
REVISTA UNIVERSIDAD Y SOCIEDAD ; 14(3):439-447, 2022.
Article in Spanish | Web of Science | ID: covidwho-1965526

ABSTRACT

The present study seeks to determine the characteristics of the information about COVID-19 obtained through social networks in health sciences students in Lima. A sample of 384 health sciences students using social networks during the pandemic stage was taken and the survey technique was used to obtain relevant information. The results reveal that the most used social network for searching, and consulting information related to the pandemic were WhatsApp and Facebook. The presence fakenews about COVID-19 was observed 4 out of 5 times and more than half were about medicines for the treatment of the disease. Among the most important sources of information was the COVID Situational Room of the Peruvian government. Publications in research journals were found to be the main source of scientific information. It was perceived that the Peruvian Ministry of Health was the institution with the greatest presence in social networks and that the Peruvian Government and other public agencies were the main sources for sharing information on COVID-19 in social networks.

2.
RUDN Journal of Language Studies, Semiotics and Semantics ; 13(2):364-381, 2022.
Article in Russian | Scopus | ID: covidwho-1964950

ABSTRACT

The study aims to explore features of the realization of the neological potential of lexemes created or rethought by the new reality and included in the COVID-19 concept sphere. It identifies the specifics of derivation and lexical-semantic ways of forming these neologisms. The research material includes more than 1000 articles from the most influential Hispanic and French-language publications and correspondence of native speakers in social networks and telephone applications in a synchronous cut over eight months of the pandemic. A vital factor for choice of material refers to the fact that the mentioned channels have formed a global communication environment that intensively contributes to the creation and dissemination of neology products. The methodology rests on the discursive and communicative approaches. It includes analysis and synthesis of theoretical research and applies continuous sampling of research material from the mentioned sources. The study establishes that the multidirectional processes distinguish the media and social networks’ discourse during the pandemic. Changes in the lexical-semantic discourse are carried out by creating neologisms, which, along with borrowings assimilated into the grammatical system or functioning in parallel with the national concept definition, are productive means of replenishing the lexis. The semantic neology’s main mechanisms are metaphorization and metonymization and changes in the semantic volume of a lexeme. Modern new formations perform pragmatic functions, making it possible to strengthen the emotional and modal interaction. The author concludes that neological processes demonstrate each language’s national and cultural originality and establishes that the linguistic norm in Spanish and French discourse does not conflict with the “disruptive” nature of linguistic innovations. The society positively evaluates the formation of individual speech meanings and linguistic meanings and the expansion of their functioning boundaries. © Zvereva E.V., 2022.

3.
ESSACHESS - Journal for Communication Studies ; 15(1):205-232, 2022.
Article in French | Scopus | ID: covidwho-1964921

ABSTRACT

This article suggests we need to observe how French municipal libraries re-appropriate Twitter to maintain their mission and the relationship with their publics, particularly during the COVID-19 health crisis. The aim is to highlight how their speech towards their users is organized and structured on this platform. The aim of this study is to analyse, through hyperlink use, the complex articulation of logics, semiosis, postures, and issues which accompanies the communicational and mediational process which libraries have implemented during this time. © The Author(s) 2022.

4.
Webology ; 19(1):2782-2796, 2022.
Article in English | ProQuest Central | ID: covidwho-1964731

ABSTRACT

Social Network (SN) is of avail for sharing information among individuals and communities for different purposes like sharing opinions, feelings, photos, videos and many others. Since the start of the COVID-19 epidemic and the ensuing limitations, the use of Apps on smart devices has exploded. In-line with how much time is spent on SN by a person, the manifestation of physical and mental problems are found in diverse patterns. In this review a comparative account is presented linking the time spent by individuals on social network and the patterns of the resultant health problems in course of time. Most of the earlier studies categorize the users in to various groups based on the time spent on social network. Then they describe the apparent problems that are faced, under two categories, due to the extensive time spent by the users on various social network applications. Finally, the review presents a comprehensive idea of the different analytical techniques used for finding problems faced with respect to the time spent and frequency of social network use. The results on the whole present a variegated picture as regards existence of correlation between intensity of usage and incidence of health problems.

5.
Webology ; 19(1):2768-2781, 2022.
Article in English | ProQuest Central | ID: covidwho-1964730

ABSTRACT

This study aims to look and compare how the Implementation of Smart Governance conducted by the Government of South Tangerang City, Yogyakarta City, and Surabaya in handling the impact of COVID-19. In addition, this study also wants to see how smart governance ideas and the readiness of the governments of the three cities in the impact of COVID-19. This research method uses explorative qualitative research method in analyzing more in-depth related to ideas, government readiness both from human resources and technology used, and how it is implemented in handling the impact of COVID-19. The data source in this study uses secondary data derived from articles, journals, official government websites, and online media time series in one week analyzed using Netlytics. The findings obtained in this study show that first, it has similarities in the delivery of information through a special website for COVID-19 services and information. The third city is actively providing information about COVID-19, social and economic impacts, health protocols, healthy lifestlyes, efforts to prevent, spread, and recover from the effects of COVID-19, which is integrated with ICT. However, the findings by analyzing the Twitter social media found that the Yogyakarta city government was more active and dominant in responding to COVID-19 than the City of Surabaya and South Tangerang.

6.
Webology ; 19(1):2491-2503, 2022.
Article in English | ProQuest Central | ID: covidwho-1964725

ABSTRACT

The digital age has changed humans in accessing information from offline media to online media. The presence of digital media, such as smartphone help people get current issues quickly without limits of time and place. With advances in information technology, internet users not only can receive information but also send information in the form of comments and share information. The current internet media that has become a gateway for information is social media. This paper aims to discuss information dissemination on current issues in social media. The data sources for this paper were social media texts and online questionnaire results. The research question in this paper is what current issues are communicated in social media and how is the cyber communities' digital literacy on current issues in social media. The research findings show that 90.03% of people access information through social media, the frequency of time spent with social media to access information is 81%, and the type of social media used to access information is Facebook (38.4%), WhatsApp (20.2%), YouTube (18.4%), Twitter (8.3%) and Tiktok (6.1%). Furthermore, the current issues that can be accessed by media users are covid-19 vaccination and intolerance. The major problem with social media as a gateway to information is the digital literacy of the cyber communities on the spread of fake news related to the Covid-19 vaccination and intolerance.

7.
Webology ; 19(1):2475-2490, 2022.
Article in English | ProQuest Central | ID: covidwho-1964724

ABSTRACT

Due to the on-going COVID-19 pandemic, industries are heavily reliant on online meeting platforms. The pandemic has forced most MNCs to rely on online platforms such as Zoom or Microsoft Teams to hold daily business meetings and even conferences and other corporate events. Schools and other educational institutions have also been forced to conduct classes and all other events through these platforms. This increased unavoidable dependence on online platforms has resulted in an exponential increase in advertising fraud. Advertising fraud is the application of any method or technology that hampers the proper delivery of advertisements to the proper audience or the proper place, or forcefully inserts advertisements at undesirable times or locations. This could take multiple forms and has become far more widespread with increased use of online platforms. Some common methods used for digital fraud can be the pay-per-click (PPC) model, domain spoofing or in the form of bots, but the main objective is to gain financial advantages from advertising transactions. The primary objective of this study is to identify and understand the factors lying behind the presence of fraudulent activities on any online medium and to analyse the probability of downloading an application after coming across the online advertisement, and watching it. The study also aims to highlight how marketing agencies tend to float fraud advertisement just to gain more revenue from their end.

8.
Webology ; 19(1):2138-2151, 2022.
Article in English | ProQuest Central | ID: covidwho-1964719

ABSTRACT

This research seeks to characterize the global scientific production on social networks during the Covid-19 pandemic between the months of January 2020 to September 2021. A bibliometric study was carried out in five databases (Scopus, Web of Science, Google Academic, Microsoft Academic and Crossref). Bibliometric indicators were analyzed in a universe of 7889 articles obtained through Publish or Perish v. 7.19 and the same analytical software of the chosen databases. The results indicate that the article with the most citations is "Students under lockdown: Comparisons of students' social networks and mental health before and during the COVID-19 crisis in Switzerland". The author with the most scientific production on the subject of social networks is J. Wu. Regarding the journal with the largest number of articles on the subject, IEE Access stands out, a peer-reviewed open access scientific journal published by the Institute of Electrical and Electronic Engineers. While the United States stands as the country with the highest production of articles on social networks. It is concluded that scientific production was mainly directed to the study of the behavior of social networks during the pandemic. This increase generates an attractive phenomenon for researchers, who wish to evaluate and document totally new events for society. Stands as the country with the highest production of articles on social networks. It is concluded that scientific production was mainly directed to the study of the behavior of social networks during the pandemic. This increase generates an attractive phenomenon for researchers, who wish to evaluate and document totally new events for society. Stands as the country with the highest production of articles on social networks. It is concluded that scientific production was mainly directed to the study of the behavior of social networks during the pandemic. This increase generates an attractive phenomenon for researchers, who wish to evaluate and document totally new events for society.

9.
Webology ; 19(1):1966-1977, 2022.
Article in English | ProQuest Central | ID: covidwho-1964715

ABSTRACT

2020 was an atypical year for many sectors and especially for the education sector, face-to-face education in schools and higher education entities ceased to be applied, starting virtual education in the context of the health emergency caused by Covid-19. Teachers had to make changes and adapt to the new reality to acquire knowledge of web applications to develop digital skills, important elements, especially in the current context. The research had a non-experimental design, cross-sectional causal correlation. The sample consisted of 405 teachers from 4 public universities, selected by random non-probabilistic sampling. Questionnaires were used for both variables measured with a Likert scale from 1 to 4 points;15 items were formulated to measure the web 3.0 variable and 21 items for the digital skills variable;The first questionnaire has an acceptable reliability value (Cronbach's Alpha = 0.901, 95% CI) and the second, self-regulated learning with an acceptable reliability value (Cronbach's Alpha = 0.921, 95% CI). The results indicate that the use of Web 3.0 applications allows teachers to publish content, Cloud Computing tools or E-Learnig tools, managing to develop digital competence for collaborative communication with students. Finally, the Web 3.0 application has a significant influence on digital skills.

10.
Webology ; 19(1):1128-1150, 2022.
Article in English | ProQuest Central | ID: covidwho-1964706

ABSTRACT

The study aims at identifying the sources of information and explaining their role in e-learning from the viewpoint of the Iraqi college students. The researchers relied on the descriptive method of the survey method to collect data and know the point of view of undergraduate students from the Department of Information in the College of Arts / Tikrit University and the Department of Quranic Studies at the College of Arts / University of Baghdad. The questionnaire was used as an instrument of the study, the research sample is (120) students;each section has (60) male and female students. The study concluded that there are many types and forms of information sources that students receive through electronic educational platforms from text conversations through the electronic classroom and through social networking programs, as well as lectures in various forms, books, research and various studies and methodological studies and links to sites of scientific and electronic libraries. Colleges have to work to hold training courses and educational workshops for students and professors on electronic learning platforms, programs and how to send and receive information and its sources, especially training on the platform approved by the university or college.

11.
Journal of Geodesy and Geoinformation Science ; 5(2):38-48, 2022.
Article in English | ProQuest Central | ID: covidwho-1964617

ABSTRACT

In response to the COVID-19, social media big data has played an important role in epidemic warning, tracking the source of infection, and public opinion monitoring, providing strong technical support for China’s epidemic prevention and control work. The paper used Sina Weibo posts related to COVID-19 hashtags as the data source, and built a BERT-CNN deep learning model to perform fine-grained and high-precision topic classificationon massive social media posts. Taking Shenzhen as a region of interest, we mined the “epidemic data bulletin” and “daily life impact” posts during the epidemic for spatial analysis. The results show that the confirmed communities and designated hospitals in Shenzhen as a whole present the characteristics of “sparse east and dense west”, and there is a strong positive spatial correlation between the number of confirmed cases and social media response. Specifically, Nanshan District, Futian District and Luohu District have more confirmed cases due to large population movements and dense transportation networks, and social media has responded more violently, and people’s lives have been greatly affected. However, Yantian District, Pingshan District and Dapeng New District showed opposite characteristics. The case study results further show that using deep learning methods to mine text information in social media is scientifically feasible for improving situational awareness and decision support during the COVID-19.

12.
Journal of Geodesy and Geoinformation Science ; 5(2):1-6, 2022.
Article in English | ProQuest Central | ID: covidwho-1964616

ABSTRACT

Humanities and Social Sciences (HSS) are undergoing the transformation of spatialization and quantification. Geo-computation, with geoinformatics (including RS: Remote Sensing;GIS: Geographical Information System;GNSS: Global Navigation Satellite System), provides effective computational and spatialization methods and tools for HSS. Spatial Humanities and Geo-computation for Social Sciences (SH&GSS) is a field coupling geo-computation, and geoinformatics, with HSS. This special issue accepted a set of contributions highlighting recent advances in methodologies and applications of SH&GSS, which are related to sentiment spatial analysis from social media data, emotional change spatial analysis from news data, spatial analysis of social media related to COVID-19, crime spatiotemporal analysis, “double evaluation” for Land Use/Land Cover (LUCC), Specially Protected Natural Areas (SPNA) analysis, editing behavior analysis of Volunteered Geographic Information (VGI), electricity consumption anomaly detection, First and Last Mile Problem (FLMP) of public transport, and spatial interaction network analysis for crude oil trade network. Based on these related researches, we aim to present an overview of SH&GSS, and propose some future research directions for SH&HSS.

13.
PeerJ Computer Science ; 2022.
Article in English | ProQuest Central | ID: covidwho-1964568

ABSTRACT

Social media platforms such as Twitter, YouTube, Instagram and Facebook are leading sources of large datasets nowadays. Twitter’s data is one of the most reliable due to its privacy policy. Tweets have been used for sentiment analysis and to identify meaningful information within the dataset. Our study focused on the distance learning domain in Saudi Arabia by analyzing Arabic tweets about distance learning. This work proposes a model for analyzing people’s feedback using a Twitter dataset in the distance learning domain. The proposed model is based on the Apache Spark product to manage the large dataset. The proposed model uses the Twitter API to get the tweets as raw data. These tweets were stored in the Apache Spark server. A regex-based technique for preprocessing removed retweets, links, hashtags, English words and numbers, usernames, and emojis from the dataset. After that, a Logistic-based Regression model was trained on the pre-processed data. This Logistic Regression model, from the field of machine learning, was used to predict the sentiment inside the tweets. Finally, a Flask application was built for sentiment analysis of the Arabic tweets. The proposed model gives better results when compared to various applied techniques. The proposed model is evaluated on test data to calculate Accuracy, F1 Score, Precision, and Recall, obtaining scores of 91%, 90%, 90%, and 89%, respectively.

14.
REMark ; 21(3):942-1004, 2022.
Article in English | ProQuest Central | ID: covidwho-1964375

ABSTRACT

Objective: This research investigates how the government of a low-income country can use sentiment analysis on social media and improve its communication during a national crisis. Method: This research scraped citizens’ comments on the Brazilian Health Department’s Facebook page regarding the COVID-19 pandemic (N = 106,292). Data were cleaned, and sentiment analysis was performed using social media comments (N = 93,715) employing the software LIWC. Originality/Relevance: The comprehension of citizens' emotions during a crisis is the most relevant aspect of the study. We mainly discuss that videos make sentiments stronger and impact the perceptions about press conferences and informative posts content. Results: Findings revealed that the government posts in social media were composed of three categories: informative, press conference, and prevention. Further, it demonstrated that when these posts were made with video (vs. picture), citizens’ positive emotions, social aspects, perceptual aspects, work aspects, and death perceptions were stronger. It happens because when the government uses video (vs. picture), people have more vividness regarding the post, increasing the intensity of sentiments. Theoretical/methodological/practical contributions: This research contributes, in a practical manner, by providing evidence of how citizens feel during a pandemic and what is the best manner to attenuate their negative sentiments. It also contributes by applying a sentiment analysis approach, a method that has been growing in the last years, mainly in the discussions about how consumers and people feel concerning their consumption and daily life experiences. It can be helpful for the communication strategies made by the government during a national crisis.

15.
Applied Sciences ; 12(14):7002, 2022.
Article in English | ProQuest Central | ID: covidwho-1963685

ABSTRACT

The purpose of this study is to explore what determinants affect small and medium enterprises regarding the adoption of broadband mobile applications. Today, broadband mobile applications are changing the business landscape rapidly, which presents a vital issue for enterprises to understand and tackle. Both qualitative and quantitative methods were applied in this study in order to analyze the issues enterprises may face with broadband mobile applications. Qualitatively, a preliminary study was conducted based on a review of literature to explore the factors that impact small and medium enterprises. Quantitatively, Structural Equation Modeling and AMOS were deployed to further examine the potential factors. As broadband mobile applications are mostly installed in the personal mobile device and operated by individuals, this study integrated the perspective of internal users along with the Technology-Organization-Environment framework to develop an ITOE research model to provide a more comprehensive view on the determinants and factors. The practicality and feasibility of the ITOE research model were then verified by the study results through the fifteen determinants identified. Based on the findings, implications and future research directions are proposed.

16.
Front Public Health ; 10: 931102, 2022.
Article in English | MEDLINE | ID: covidwho-1963646

ABSTRACT

Purpose: Our objective is to pilot an advertisement-driven sampling procedure among African American (AA) breast cancer survivors living in Maryland. These pilot study methods will inform a future population-based study of AA breast cancer survivors at high risk of poor outcomes due to biological differences and social inequities. Methods: This cross-sectional study utilizes an innovative, social media-based advertisement campaign with an associated social media study page to recruit 100 AA breast cancer survivors. Participants are biologically female, aged 18 and older, identify as AA/Black, have a diagnosis of breast cancer, and reside in Maryland. A preset "Audience" was created via Meta (formerly Facebook) to automatically target potential interest in the online study via geolocation and public social media interests (estimated range = 101,000 women). Eligible participants complete an online survey including demographic and clinical characteristics, cancer screening, healthcare access, and utilization, COVID-19 impact, quality of doctor-patient communication, and preferences for future study participation. Results: Recruitment began on 5 January 2022 and remains ongoing. As of 7 June 2002: 124 completed the screener, 110/124 (88.7%) consented passively, 24/110 (21.8%) started but did not complete survey, 86/110 (78.1%) completed the survey. Conclusions: Results from this study will inform a statewide multilevel prospective population-based study to improve health behaviors, disease management, and self-efficacy of chronic disease management among AA breast cancer survivors.


Subject(s)
Breast Neoplasms , COVID-19 , Cancer Survivors , Social Media , Advertising/methods , African Americans , Cross-Sectional Studies , Female , Humans , Pilot Projects , Prospective Studies , Social Networking
17.
2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022, held in conjunction with the 33rd ACM Conference on Hypertext and Social Media, HT 2022 ; : 39-49, 2022.
Article in English | Scopus | ID: covidwho-1962414

ABSTRACT

Online social networks (OSNs) are today a primary way to spread and consume information. Maybe the most important aspect of OSNs, both an opportunity and a weakness, is that OSNs are open: users can post anything, which leads to proliferation of information with various degrees of truthfulness. This impacts the volume of information, trending topics, and sentiment of users vis-à-vis of these topics. Our goal in this work is to analyze the spreading of information in Twitter, volume-wise and sentiment-wise (positive or negative), for COVID-19 vaccines overall, and for some specific brands. Our analysis was carried on over five 10-day time-windows in 2021, starting from February and until October. We also looked at what were the most popular tweets we collected during our predefined time-windows, and, by looking at the retweets counts, we observed how they trended over time. © 2022 ACM.

18.
Journal of Nutritional Science ; 11, 2022.
Article in English | ProQuest Central | ID: covidwho-1960158

ABSTRACT

Tunisia recorded the highest rate of COVID-19 positive cases and deaths in Africa but no studies assessed the impact of the pandemic on eating patterns as in the case of several countries. The objective of the present study was to investigate the perception of changes in food habits, appetite and body weight in Tunisian adults of both genders aged 20–74 years old. A cross-sectional study has been carried out with a non-probabilistic sampling method based on an online self-administered survey. Of overall 1082 adults included in the study, 57⋅8 % reported a change in their eating habits: 21⋅2 % an increase in their consumption of fresh fruits, vegetables, pulses, pasta and bread, while 36⋅6 % an increase of homemade cakes and biscuits, sweets, processed meat, sugary drinks and alcoholic drinks. In addition, tea, coffee and herbal tea have been reported as excessively consumed during the lockdown period. More than half experienced appetite variations (34⋅6 % increased appetite and 23⋅0 % appetite loss). Inequality detrimental to women was reported regarding eating habit changes (women consumed more unhealthier foods than men). Elderly subjects (over 60 years) were less likely to negatively change food habits in comparison with young adults (20–25 years), while ungraduated respondents were more prone to negatively change their food habits. Almost half reported weight gain. As the negative influence of the lockdown period on eating habits with the increase of obesity risk has been detected, health policy may be advised to focus on using mass media campaigns to promote healthy eating habits, in particular for illiterate and young people.

19.
18th Italian Research Conference on Digital Libraries, IRCDL 2022 ; 3160, 2022.
Article in English | Scopus | ID: covidwho-1958441

ABSTRACT

In the present article, we analyse the digital activity and behaviour of the European National Libraries and of their users on the most important social media, namely Facebook and Instagram, in a time window that covers the period before and during the Covid-19 pandemic. This activity was carried out within the framework of the Horizon 2020 European inDICEs project1 which aims to support libraries, museums and archives in developing digital strategies to experiment with engagement strategies driven by digital collections. The project is developing an Open Observatory, where GLAM professionals as well as creative industries, policy makers and researchers can find and analyse data on digital heritage accessibility and reuse, and explore case studies on novel value chains. In the article we present a specific use case based on National Libraries, which in the cultural heritage sector are among the most active institutions in digital services policies. Our aim is to understand how the Covid 19 pandemic has impacted the sector. After monitoring the National Libraries quantitative and qualitative level of digital activity in correlation with the forced wave of digitization led by the social-distancing policies, we have given a synthetic overview of the main findings, which regard, on one hand, a significant increase in online activities and followers of the social media pages in correspondence to the lockdown periods;on the other hand, we have observed passive participation of their users, with whom the institutions have shown they are unable to establish an active relationship, missing the chance to exploit the possibilities that the digital platforms can offer in terms of co-creation processes, digital community empowerment, development of new soft skills and shared knowledge resources. © 2022 Copyright for this paper by its authors.

20.
Webology ; 19(2):7578-7585, 2022.
Article in English | ProQuest Central | ID: covidwho-1958335

ABSTRACT

Family is a fundamental unit of every society and plays a vital role in providing strong and happy environment, guidance, protection of children and fostering harmonious social development. The outbreak of COVID-19 has severely affected the families nationally and globally by disrupting their routines and recreational activities. The current study aims to highlight the impacts of COVID-19 outbreak on family life such as: family resilience, patient to face the harsh circumstances, close family bonds, cooperation and share in housework with family members. One of the major positive impacts of COVID-19 is an increase of interaction between family members by spending more times with each other. Moreover, families got more opportunity to spend time with their children, educate them at home, and arrange more indoor activities for them that help them to improve their skills. The paper concludes that besides the negative impacts, COVID 19 has many positive and beneficial changes in family life such as, getting more opportunity to spend time with family members and children, work-family balance, the ability to work from home and peace of life in general. This paper will be helpful in highlighting and recognizing the importance of the family during the pandemic COVID 19.

SELECTION OF CITATIONS
SEARCH DETAIL