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1.
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.

2.
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.

3.
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.

4.
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.

5.
Children (Basel) ; 9(8)2022 Jul 22.
Article in English | MEDLINE | ID: covidwho-1957239

ABSTRACT

During the coronavirus disease 2019 (COVID-19) pandemic, widened physical distance and social deprivation are being replaced with digital media use. The media's social function has tremendously increased following the COVID-19 era and adolescents living in a media-saturated world are the most vulnerable subjects of all. Social media use can encourage risky behavior in adolescents. Posting videos related to risk behaviors on social media has been linked to jeopardizing not only mental health but also physical safety. Herein, we report a case of a 12-year-old boy who intravenously self-injected Lactobacilli drinking yogurt for the purpose of filming a video to post on social media. He was treated with antibiotics based on Lactobacilli sepsis that cured him without any complications. In order to reduce the risk-taking behavior of adolescents, social norms need to be straightened up, and the social responsibility of hosts is strongly recommended.

6.
The Radio Journal ; 20(1):85-103, 2022.
Article in English | ProQuest Central | ID: covidwho-1951588

ABSTRACT

This article examines three dimensions of Chris Hoff and Sam Harnett’s practices for producing, sharing and listening to audio in collective and social ways for The World According to Sound’s Outside In: the sonic strategies and soundscape design used to engage communal and collective listening, how Outside In adapts and transforms traditional paradigms using the broadcast medium of the podcast to aesthetically engage with liveness and the corporeality of sound, and how the COVID-19 pandemic afforded space for ‘unpopular’ soundwork based on everyday aural architectures (e.g., field recordings, ambient music, experimental music based on everyday sounds, soundscape collages) that are popular, as in, of the community. Using varied examples drawn from The World According to Sound’s soundwork, I illustrate a particular set of sonic strategies to imagine sonic space, listen relationally to sound events, and enact a sociality of collective listening.

7.
J Med Internet Res ; 24(7): e38332, 2022 07 22.
Article in English | MEDLINE | ID: covidwho-1952076

ABSTRACT

BACKGROUND: The COVID-19 pandemic has caused not only a disease epidemic but also an infodemic. Due to the increased use of the internet and social media, along with the development of communication technology, information has spread faster and farther during the COVID-19 infodemic. Moreover, the increased choice of information sources has made it more difficult to make sound decisions regarding information. Although social media is the most common source of misinformation, other forms of media can also spread misinformation. However, the media sources used by people with high health literacy and COVID-19 knowledge to obtain information are unclear. Furthermore, the association between the use of multiple information sources and health literacy or COVID-19 knowledge is ill-defined. OBJECTIVE: This study aims to examine the following 3 aspects regarding the COVID-19 infodemic: (1) the relationship between health literacy, COVID-19 knowledge, and the number of information sources used; (2) the impact of media use on health literacy; and (3) the impact of media use on COVID-19 knowledge. METHODS: An online cross-sectional study was conducted in November 2021. Participants were 477 individuals aged 20-69 years. After obtaining consent to participate in the study, participants were asked about sociodemographic indicators, sources of health-related information, health literacy, and COVID-19 knowledge. Sources of health-related information were categorized into 4 types: mass media, digital media, social media, and face-to-face communication. The Spearman rank correlation test was conducted to determine the relationship between health literacy, the number of correct answers to COVID-19 knowledge, and the number of information sources used. Multiple regression analysis was conducted with health literacy and the number of correct answers as dependent variables, the 4 media types as independent variables, and age and sex as adjustment variables. RESULTS: Mass media was the most frequently used source of information, followed by digital media, face-to-face communication, and social media. Social media use was significantly higher among individuals aged 20-29 years than among other age groups. Significant positive correlations were found between health literacy, the number of positive responses to COVID-19 knowledge, and the number of information sources used. Multiple linear regression analysis showed that health literacy is associated with access to information from digital media and face-to-face communication. Additionally, COVID-19 knowledge was associated with access to information from mass media, digital media, and face-to-face communication. CONCLUSIONS: Health literacy and COVID-19 knowledge could be improved using diverse information sources, especially by providing opportunities to use digital media and face-to-face communication. Furthermore, it may be important to improve health literacy and provide accurate knowledge about COVID-19 to young adults.


Subject(s)
COVID-19 , Health Literacy , Social Media , COVID-19/epidemiology , Cross-Sectional Studies , Humans , Infodemic , Internet , Japan , Pandemics , Young Adult
8.
Applied Computational Intelligence and Soft Computing ; 2022, 2022.
Article in English | ProQuest Central | ID: covidwho-1950361

ABSTRACT

In recent years, COVID-19 has been regarded as the most dangerous pandemic for several countries. On various social media platforms, such as Twitter, Facebook, and Instagram, a variety of rumours, hypes, and news are published. This might have a detrimental impact on people’s life. As a result, social media platforms have always had a difficult time authenticating this fake information. Different machine learning (ML) and deep learning (DL) classifiers were used in this work to categorize the continuing impacts of tweets and forecast their after-effects. Support vector machine (SVM), random forest (RF), decision tree (DT), and k-nearest neighbor (KNN) were used for classification, while AdaBoost and convolutional neural network (CNN) were utilized for future effects. The tweets dataset from Kaggle was used to train the SVM, RF, KNN, and DT models, which were then assessed on multiple evaluation criteria such as accuracy, precision, recall, and F1-score, using a 70 : 30 ratio. The CNN and AdaBoost, on the other hand, have been taught to detect the mean square error, root mean square error, and mean absolute error. With 0.74 and 0.73 percent score out of 1, respectively, RF and SVM exhibit the best accuracy in impact when classifying the outcomes on the obtained dataset. In terms of a regression problem, CNN beat the ADA Regressor across the board.

9.
Journal of Strategy and Management ; 15(3):377-396, 2022.
Article in English | ProQuest Central | ID: covidwho-1948696

ABSTRACT

Purpose>This research identifies the critical factors of online service delivery of electronic commerce (e-commerce) websites, including website attractiveness, website functionality, website security and consumer fulfillment during an unprecedented Coronavirus (COVID-19) pandemic.Design/methodology/approach>A structured questionnaire was used to gather data from 430 online respondents who were members of popular social media groups. The survey instrument relied on valid and reliable measures relating to electronic service quality (e-SERVQUAL) to better understand the participants’ satisfaction with shopping websites, as well as their loyal behaviors and word-of-mouth activities.Findings>The findings reported that consumers valued the e-commerce websites’ features and their consumer order fulfillment capabilities. These factors increase the consumers’ satisfaction with online shopping experiences, generate repeat business, as well as positive reviews on social media.Research limitations/implications>This study addresses a knowledge gap in academia. To date, little research has focused on the consumer order fulfillment aspect of e-commerce transactions and on after-sales of online businesses.Originality/value>This contribution posits that e-commerce websites ought to be appealing, functional and offer secure transactions. More importantly, it suggests that merchants should consistently deliver personalized service in all stages of an online purchase, including after the delivery of the ordered products.

10.
The New Zealand Medical Journal (Online) ; 135(1558):7-9, 2022.
Article in English | ProQuest Central | ID: covidwho-1939912

ABSTRACT

Advocates, including the Health Coalition Aotearoa, have produced recommendations for the scope of the review, including giving effect to Te Tiriti o Waitangi in the legislation, stricter legal restrictions on availability and reform of the licensing process to give communities the voice they were intended to have.1 A key issue the review must traverse is how can we ensure safe and responsible supply of alcohol while reducing the inequities in wellbeing and health to which alcohol significantly contributes. In Aotearoa, tamariki Maori are exposed to five times as much alcohol marketing compared with others,3 and this is likely to contribute to consumption of larger amounts of alcohol products by Māori rangitahi.4 In turn, this contributes to the striking inequity in premature mortality, with Māori more than twice as likely to die from alcohol attributable causes.5 One of the benefits of alcohol marketing for the global producers is to recruit new consumers and, especially important for them, an ongoing supply of heavy consumers, described in industry sources as "the heavy drinking loyalists of tomorrow".6 Everywhere commercial alcohol producers rely on heavy consumption for significant proportions of their sales and profits, approximately 50% in Aotearoa.7 Marketing's effects are broad and therefore the urgently needed policy response must go beyond a focus on protecting young people. There has been a marked increase in online purchase in Aotearoa during the COVID-19 pandemic.12 Digital marketing ensures a very effective use of the advertising dollar;for example, for as little as US$2 an advertising campaign based in Australia could reach one thousand young people profiled as interested in alcohol.13 Engagement with alcohol marketing in the digital media is also more powerful than with traditional modes. 14 Despite increasing concerns over privacy and the commodification of digital data, effective regulation of digital platforms has not yet been achieved.

11.
PROFESIONAL DE LA INFORMACION ; 31(3), 2022.
Article in English | Web of Science | ID: covidwho-1938591

ABSTRACT

This study focuses on the curation of newsletters specialized in Covid-19 news from the mass media of France, Germany, Spain, the United Kingdom, and the USA. The newsletters of 21 media outlets -15 traditional and six digital natives- were studied during the peaks of the pandemic in April and November 2020. The study follows an evaluative method of curation quality, based on the analysis of the following parameters: number of curated contents, time range, origin, sources -according to organization type and morphology-, authorship, sense-making techniques, and hyperlink informational function. The results identify the main characteristics of news curation in these newsletters and their differences from general newsletters, as well as the sources used, and also make it possible to establish curation quality standings and to identify differences between countries and among legacy and pure digital news outlets.

12.
PROFESIONAL DE LA INFORMACION ; 31(3), 2022.
Article in English | Web of Science | ID: covidwho-1938589

ABSTRACT

This paper analyses the context of disinformation in Spain from the perspective of the pseudo-media (i.e., websites that mimic conventional media to offer partisan content based on alternative facts). Using a quantitative (N = 1,143) and qualitative (n = 396) methodology, this research analyses publications from eight Spanish pseudo-media that reach more than 4 million unique users. Results reveal an interest in three topics: vaccination, restrictions and speculation about Covid-19, national politics -focused on criticism against government- and topics related to human rights -mainly LGBTI, gender, immigration- with a total of 58.1% of the content published in four sections (International, Spain, Society, and Economy). The study reveals a growing trend towards polarisation and the use of clickbait techniques in four out of ten headlines. The Internet and social media are the most common sources quoted, while a third of the items lack sources or correspond to opinion pieces. Minorities and vulnerable groups are framed as a social threat, and the presentation of the coalition government as a danger to Spain that must be put to an end, which makes the discourse of these websites in tune with the ideology of the far right wing.

13.
Communications in Mathematics and Applications ; 13(1), 2022.
Article in English | ProQuest Central | ID: covidwho-1934933

ABSTRACT

SARS-CoV-2, or more popularly known COVID-19 has claimed more than 5.5 million lives since it has been declared as a global pandemic. Similar to other viruses, COVID-19 is also undergoing several mutations and has many variants like Alpha, Beta, Gamma, Delta, Omicron and others. With so many variants, social media users are confused and posting their frustrations and angers with Tweets or Posts in public social media platforms. These publicly accessible social media posts provide a wealth of information for a social scientist or political leader or a strategic decision maker. This study demonstrates a feasible approach to extract meaningful critical information from social media posts. By programmatically accessing Twitter database from 11th January 2022 till 20th January 2022, we retrieved almost 9 K Tweet messages on 6 different keywords like “COVID Variants”, “Omicron”, “Alpha Variant”, “Beta Variant”, “Gamma Variant” and “Delta Variant”. Results were compared against metrics like users, posts, engagement, and influence. Omicron was found to be the most popular topic compared to other variants with an influence score of 70.2 million and 2.1 K posts during the monitored period. The most popular sources for influences on COVID-19 Variant related posts were found to be @reuters with 24.2M, @forbes with 17.4M, @timesofindia with 14.2M and @inquirerdotnet with 3.4 followers. This study also found out that the most popular Tweet languages were English followed by French and Dutch. Lastly, this study ranked user mentions, word frequency (with word cloud) and hashtags for COVID-19 Variant related twitter posts during the monitored timeframe.

14.
Media and Communication ; 10(2):218-229, 2022.
Article in English | ProQuest Central | ID: covidwho-1934774

ABSTRACT

The article explores the digital everyday life of recently or currently undocumented migrants in times of Covid-19 in Finland. It is based on an empirical case study on a collaborative photographic exhibition and workshop including visual images, diaries, interviews, and discussions. The analysis explores the ways in which a photography exhibition and a workshop may depict meaningful moments in digital everyday life as well as open up an understanding of the various vulnerabilities that emerge in the life of the undocumented, as expressed by themselves. The study demonstrates the fundamental importance of communication rights for people in precarious life situations, expressed by themselves in visual images. The insight produced multidimensionally in images, discussions, and interviews illustrate how digital media environment exposes to coerced visibility and requires constant struggle for communicative rights. These struggles take place on the material infrastructural level of devices, chargers, and access, but also on the level of self-expression and connection on social media platforms. Finally, the article discusses the emancipatory potential of a collaborative exhibition and workshop as a way to encounter and deal with increasingly vulnerable life situations. It points out the relevance of collaborative work as a research method, in providing knowledge from experience as well as space of recognition.

15.
AIS Transactions on Human-Computer Interactions ; 14(2):185-206, 2022.
Article in English | ProQuest Central | ID: covidwho-1924794

ABSTRACT

Misinformation about the coronavirus disease of 2019 (COVID-19) health crisis has been widespread on social media and caused various types of harms in society. While some researchers have investigated the way in which people perceive misinformation harm in crises, little research has systematically examined harms from health-related misinformation. In order to address this gap, we focus on non-comparative and comparative harm perceptions of the affected community in the COVID-19 pandemic context. We examine non-comparative harms (which component harms and contextual harms reflect) and comparative harms (which counter-contextual harms reflect) in order to understand harm perceptions. We also investigate how harm perception varies based on COVID-19 victimization experience. We used a professional survey company named Cint to collect data using a scenario-based survey with 343 participants. We extract various findings such as how contextual features shape perceived harms and reveal the scenarios in which COVID-19 victims perceive higher contextual harms but lower counter-contextual harms. We also examine how corrective actions of social media shape harm perceptions.

16.
AIS Transactions on Human-Computer Interactions ; 14(2):116-149, 2022.
Article in English | ProQuest Central | ID: covidwho-1924793

ABSTRACT

Health misinformation on social media is an emerging public concern as the COVID-19 infodemic tragically evidences. Key challenges that empower health misinformation’s spread include rapidly advancing social technologies and high social media usage penetration. However, research on health misinformation on social media lacks cohesion and has received limited attention from information systems (IS) researchers. Given this issue’s importance and relevance to the IS discipline, we summarize the current state of research on this emerging topic and identify research gaps together with meaningful research questions. Following a two-step literature search, we identify and analyze 101 papers. Drawing on the Shannon-Weaver communication model, we propose an integrative stage-based framework of health misinformation on social media. Based on literature analysis, we identify research opportunities and prescribe directions for future research on health misinformation on social media.

17.
Disentangling: The Geographies of Digital Disconnection ; : 295-323, 2021.
Article in English | Scopus | ID: covidwho-1922320

ABSTRACT

Normal academic life is a series of gatherings. The COVID-19 outbreak in spring of 2020 disrupted these gatherings and constituted not just a health crisis but also a profound alteration of academic life. Social distancing and quarantine accelerated historic processes of distanciation, as an increasing number of social situations were lifted out of the places in which they would have occurred. Teaching, learning, mentoring, and collaborating continued to “take place” but these newly mediated connections included experiences of disconnection. Auto-ethnography conducted by six academics at various levels during the COVID pandemic explores questions of space, place, pedagogy, and scholarship, comparing and contrasting our varied vantage points on transformations of spatial routines, the learning process, the academic community, and our lives. We show how disconnected connection was experienced differently, by differently-situated social actors, each of whom appropriated certain media according to his or her wants and needs. © Oxford University Press 2021.

18.
Communicatio ; 48(1):45-65, 2022.
Article in English | ProQuest Central | ID: covidwho-1921925

ABSTRACT

Jürgen Habermas’ theory of communicative action and discourse ethics as a theoretical basis merges several factors that have an impact on the use of digital media by internet users. This article provides a qualitative narrative analysis of a study of five South African-based based non-governmental organisations (NGOs) on their experiences with digital media and cyber-ethics during the Covid-19 pandemic. The author interviewed employers and digital media specialists from the NGOs about their experiences with the “eight ethical variables”, namely, justice, privacy, access, accuracy, truth, human dignity, regulation, and ownership of information, during the global Covid-19 (acronym for the coronavirus disease of 2019) pandemic. The article discusses how the NGOs have been affected by the increasing use of digital media. The article argues that a need exists for a framework of cyber-ethics for self-regulation purposes, to be followed by NGOs to deal with breaches of ethical conduct. Finally, the formulation of a microsocial contract based on the proposed eight ethical variables is offered. The present study contributes to media ethics literature by proposing a framework for ethical conduct for digital media use. This is of importance to internet users and may be achievable if imbedded in employee procedural policies and public policies. It is argued that in formulating appropriate ethical guidelines, Habermas’ discourse ethics should be kept in mind for an optimal microsocial contract to be attainable.

19.
S Afr Fam Pract (2004) ; 64(1): e1-e2, 2022 06 10.
Article in English | MEDLINE | ID: covidwho-1917940

ABSTRACT

No abstract available.


Subject(s)
Social Media , Humans
20.
Information Technology and Libraries (Online) ; 41(2):1-9, 2022.
Article in English | ProQuest Central | ID: covidwho-1912060

ABSTRACT

The COV1D-19 pandemic forced classical musicians to cancel in-person recitals and concerts and led to the exploration of virtual alternatives for engaging audiences. The apparent solution was to livestream and upload performances to social media websites for audiences to view, leading to income and a sustained social media presence;however, automated copyright enforcement systems add new layers of complexity because of an inability to differentiate between copyrighted content and original renditions of works from the public domain. This article summarizes the conflict automated copyright enforcement systems pose to classical musicians and suggests how libraries may employ mitigation tactics to reduce the negative impacts when uploaders are accused of copyright infringement.

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