Online Inf. Rev.最新文献

{"title":"Book review: Lives of data: essays on computational cultures from India","authors":"N. Rangaswamy","doi":"10.1108/oir-06-2022-622","DOIUrl":"https://doi.org/10.1108/oir-06-2022-622","url":null,"abstract":"Lives of Data is an intellectual response to the birth and evolution of data societies as instruments of knowledge and everyday infrastructures. The book, in a pioneering effort, charts the development and immersion of data infrastructures across socio-economic and institutional contexts in India through the articulation of social, political, economic, cultural worlds – and “dataworlds”. Lives of data offers a unique contemporary snapshot ofwhat is at once India’s data world and the digital every day. It does the above by connecting historical journeys of small and big data, their embodiments in model building and in their impacts on human socio-economic sustenance.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the associations of youth Facebook addiction with social capital perceptions","authors":"Jenny Wong, Kevin K. W. Ho, Tin Nok Leung, Dickson K. W. Chiu","doi":"10.1108/oir-06-2021-0300","DOIUrl":"https://doi.org/10.1108/oir-06-2021-0300","url":null,"abstract":"Purpose Although Facebook addiction has been found to be a key motive for using Facebook, scant research has explored the association of Facebook addiction with social capital. While researchers addressed how Facebook use strengthened social capital, they did not address the resultant excessive and uncontrollable Facebook use, which is a key sign of Facebook addiction. Therefore, the authors develop this project to study this research gap.Design/methodology/approach This research explores the motive of Facebook addiction by using a questionnaire to examine the relationships between Facebook addiction and two types of social capital: cognitive and bonding social capital. The authors recruited Hong Kong youth through Facebook and peer groups to complete a set of questionnaires on Facebook addiction, cognitive social capital, bonding social capital and the degree of extraversion. Hierarchical regression is used for analyzing the data collected.Findings Hierarchical regression results indicated that the more addicted one was to Facebook, the lower the cognitive social capital one perceived. Such a negative relationship was particularly significant for female participants. A similar but marginally significant effect is also found for bonding social capital.Originality/value This research sheds light on the impact of Facebook addiction on how one perceives shared meanings and the sense of belongingness with other people on social networks.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/OIR-06-2021-0300.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"425 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133197713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors influencing the adoption and use of open access scholarly communication among researchers in India","authors":"Mohammad Nazim, Mohammad Ashar","doi":"10.1108/oir-05-2021-0265","DOIUrl":"https://doi.org/10.1108/oir-05-2021-0265","url":null,"abstract":"PurposeThe present study aims to examine the use of open access (OA) scholarly communication in India and investigate the factors affecting the adoption and use of OA scholarly communication among researchers.Design/methodology/approachThe study adopted a quantitative research approach using a survey method. Science Citation Index Expanded (SCI-EXPANDED) of Web of Science database was selected as a source for identifying potential researchers and researchers' contact details. A web-based questionnaire was designed using Google Forms, and a link to the questionnaire was sent by email to 4,237 researchers belonging to Science and Technology. Unified theory of acceptance and use of technology (UTAUT) is the primary basis for formulating the present study's conceptual model. Hierarchical multiple regression (HMR) was applied for identifying the factors that influence the adoption and use of OA scholarly communication.FindingsThe study found that researchers have limited knowledge of different OA concepts, initiatives and resources, resulting in a deficient level of participation in OA publishing. The HMR analysis authenticates that attitude, facilitating conditions, Internet usage self-efficacy, article processing charge (APC) and researchers' working experience significantly influence the adoption and use of OA scholarly communication. Based on the findings, the study proposed a validated model to investigate the adoption and use of OA scholarly communication in different institutions, research disciplines and developing countries with similar conditions.Practical implicationsThe findings have several practical and policy implications for improving OA publishing in India, formulating OA policies and providing directions for further research.Originality/valueThis is the first study focusing on adopting and using OA scholarly communication in India. Findings may be helpful in planning and implementing OA initiatives. The influencing factors and the relative importance identified in the present study offered empirical evidence to demonstrate the researchers' attitudes and perceptions for adopting and using OA scholarly communication.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0265.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social media exposure assessment: influence on attitudes toward generic vaccination during the COVID-19 pandemic","authors":"Dan-Andrei Sitar-Tǎut, Daniel Mican","doi":"10.1108/oir-11-2021-0621","DOIUrl":"https://doi.org/10.1108/oir-11-2021-0621","url":null,"abstract":"PurposeEven though social media (SM) has been explored in-depth, its role remains unclear regarding short- and long-term preventive attitudes in global health emergencies. To fill this gap, the Stimulus-Organism-Response framework aims to clarify the social media exposure mission in acknowledging risk perception and triggering preventive attitudes and behaviors toward COVID-19 and general vaccination.Design/methodology/approachThe authors conducted an explanatory-predictive study on 480 Romanian students, using partial least squares structural equation modeling, and performed model evaluation, multi-group, model selection, and importance-performance map analyses.FindingsThe study provides insights in understanding significant relationships and drivers explaining and predicting attitudes towards vaccines. The main relationships are between fear and risk perception; risk and preventive attitudes and behaviors; and vaccination degree and attitudes to vaccines. The most important factor is the vaccination degree and media exposure is the most performant.Practical implicationsDeveloping and applying regulations and communication strategies for quality mass information may positively increase attitudes toward vaccines by indirectly enforcing the main drivers.Social implicationsOrganizations, authorities, and opinion leaders must have a coherent supportive presence in media.Originality/valueThis study filled the literature gap by building a generic theoretical and empirical proven framework that investigates the mediated effect towards vaccines of all media types by COVID-19 experience and vaccination degree.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0621","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123900409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding viewers' information-sharing in live-streaming based on a motivation perspective","authors":"S. Chou, M. Hsieh, Hui Pan","doi":"10.1108/oir-12-2020-0576","DOIUrl":"https://doi.org/10.1108/oir-12-2020-0576","url":null,"abstract":"PurposeThis study aims to understand how information-sharing in live-streaming is formed through a motivational perspective. The authors provide a framework to explain how live-streaming services and attachment affect viewers' information-sharing decision.Design/methodology/approachThis study uses a survey-based method to collect data and partial least squares to analyze them.FindingsThe proposed hypotheses are largely supported. The results show that information-sharing intention is influenced by both attachment to a creator and attachment to a group. These attachments are positively affected by live-streaming services. The findings contribute to live-streaming literature by conceptualizing motivation and motivational feedback as service and attachment respectively.Practical implicationsThe findings suggest that live-streaming managers emphasize social-technical features and relationship development with others (creators, group members) to motivate viewers' participation in live-streaming.Originality/valueThis study addresses the gap of lacking a systematic consideration of motivation in the live-streaming context. As such, the authors conducted empirical research that describes the information-sharing through the motivation from service and feedback from attachment.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131406216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intergenerational family online community and older adults' overall well-being","authors":"Tali Gazit, Sarit Nisim, L. Ayalon","doi":"10.1108/oir-06-2021-0332","DOIUrl":"https://doi.org/10.1108/oir-06-2021-0332","url":null,"abstract":"PurposeThis study aims to evaluate the potential contribution of a membership in an online family community to older adults' overall well-being.Design/methodology/approachA total of 427 respondents over the age of 64 participated in the study (M = 74.55, SD = 7.13), answering a survey. To test the contributing of belonging to family online communities (WhatsApp), three hierarchical regression analyses were conducted, with well-being, self-perceptions of aging and loneliness as outcome variables.FindingsFindings show that belonging to an intergenerational family online community was associated with higher levels of well-being, less loneliness and better self-perceptions of aging, even once demographic characteristics and using social media were controlled for.Social implicationsThis study demonstrates the important role that the family online community membership plays in older adults' lives. This has significant implications that may contribute to intergenerational emotional solidarity.Originality/valueThe authors suggest that technology is not per se, but the intergenerational opportunities that technology facilitates that make a difference.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0332","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129403680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-social networks analysis: building me-edge centered BUNet dataset based on implicit bridge users","authors":"Amina Amara, Mohamed Ali Hadj Taieb, M. Benaouicha","doi":"10.1108/oir-01-2021-0037","DOIUrl":"https://doi.org/10.1108/oir-01-2021-0037","url":null,"abstract":"PurposeThe intensive blooming of social media, specifically social networks, pushed users to be integrated into more than one social network and therefore many new “cross-network” scenarios have emerged, including cross-social networks content posting and recommendation systems. For this reason, it is mightily a necessity to identify implicit bridge users across social networks, known as social network reconciliation problem, to deal with such scenarios.Design/methodology/approachWe propose the BUNet (Bridge Users for cross-social Networks analysis) dataset built on the basis of a feature-based approach for identifying implicit bridge users across two popular social networks: Facebook and Twitter. The proposed approach leverages various similarity measures for identity matching. The Jaccard index is selected as the similarity measure outperforming all the tested measures for computing the degree of similarity between friends’ sets of two accounts of the same real person on two different social networks. Using “cross-site” linking functionality, the dataset is enriched by explicit me-edges from other social media websites.FindingsUsing the proposed approach, 399,407 users are extracted from different social platforms including an important number of bridge users shared across those platforms. Experimental results demonstrate that the proposed approach achieves good performance on implicit bridge users’ detection.Originality/valueThis paper contributes to the current scarcity of literature regarding cross-social networks analysis by providing researchers with a huge dataset of bridge users shared between different types of social media platforms.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115192978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The application of emotions, sharing motivations, and psychological distance in examining the intention to share COVID-19-related fake news","authors":"Wee-Kheng Tan, Chun-Yu Hsu","doi":"10.1108/oir-08-2021-0448","DOIUrl":"https://doi.org/10.1108/oir-08-2021-0448","url":null,"abstract":"PurposeCoronavirus disease 2019-related fake news consistently appears on social media. This study uses appraisal theory to analyze the impact of such rumors on individuals' emotions, motivations, and intentions to share fake news. Furthermore, the concept of psychological distance and construal level theory are used in combination with appraisal theory to compare toilet paper shortages and celebrity scandal rumors.Design/methodology/approachData collected from 299 Taiwanese respondents to 150 toilet paper shortage-related and 149 celebrity gossip-related questionnaires were processed using partial least squares regression and multigroup analysis.FindingsIn both cases, surprise is felt most intensely. However, unlike in the celebrity fake news scenario, worry plays a prominent role in driving the altruistic sharing motivation related to the toilet paper shortage rumor. Furthermore, while emotional attributes (basic or self-conscious, concrete, or abstract) serve as a guide for how emotions change with psychological distance, the degree to which an emotion is relevant to the fake news context is key to its manifestation.Originality/valueThis study examines the impact of individuals' emotions on their motivations and intention to share fake news, applying the appraisal theory and the psychological distance concept in a single study to fake news sharing intention. It evaluates the relationship between psychological distance and emotions, revealing that it is not absolute and need not necessarily shift according to psychological distance change; rather, the relationship is context-sensitive.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122440958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A social media engagement framework for applicant attraction and retention: #SocialMediaCongruence","authors":"A. Johnson, Katherine J. Roberto, Christopher J. Hartwell, Jennifer F. Taylor","doi":"10.1108/oir-05-2021-0260","DOIUrl":"https://doi.org/10.1108/oir-05-2021-0260","url":null,"abstract":"PurposeThe social media (SM) engagement framework consists of dimensions of employee privacy expectations and organizations' social media orientation. Further, the social media privacy orientation model provides better understanding of complexities of selection and retention created by the social media landscape.Design/methodology/approachOrganizations are increasingly seeking talent to support burgeoning social media strategies. Qualified employees may be expected to have related professional experience and an active personal social media presence. In contrast to this evolving demand, prevailing guidelines suggest applicants minimize their social media activity altogether. These restrictive guidelines may be better suited for organizations that prefer or require high levels of discretion on social media given the differing engagement expectations across firms and among individuals.FindingsHow the congruence between an employee's expectations of privacy on SM and the organization's expectation of employees' SM usage affects applicant attraction to organizations and employee retention is outlined. Propositions are offered to foster research in this area.Practical implicationsSocial media congruence is an important consideration for human resource (HR) policies and associated training.Social implicationsPublic policies toward the use of social media in recruitment and privacy should consider social media congruence.Originality/valueThe model advanced in the paper provides organizations and applicants with a stronger understanding of the complexities surrounding the use of SM in selection and retention decisions.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0260","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131796828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Twitter use by the dementia community during COVID-19: a user classification and social network analysis","authors":"Fatimah Alhayan, D. Pennington, S. Ayouni","doi":"10.1108/oir-04-2021-0208","DOIUrl":"https://doi.org/10.1108/oir-04-2021-0208","url":null,"abstract":"PurposeThe study aimed to examine how different communities concerned with dementia engage and interact on Twitter.Design/methodology/approachA dataset was sampled from 8,400 user profile descriptions, which was labelled into five categories and subjected to multiple machine learning (ML) classification experiments based on text features to classify user categories. Social network analysis (SNA) was used to identify influential communities via graph-based metrics on user categories. The relationship between bot score and network metrics in these groups was also explored.FindingsClassification accuracy values were achieved at 82% using support vector machine (SVM). The SNA revealed influential behaviour on both the category and node levels. About 2.19% suspected social bots contributed to the coronavirus disease 2019 (COVID-19) dementia discussions in different communities.Originality/valueThe study is a unique attempt to apply SNA to examine the most influential groups of Twitter users in the dementia community. The findings also highlight the capability of ML methods for efficient multi-category classification in a crisis, considering the fast-paced generation of data.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0208.","PeriodicalId":143302,"journal":{"name":"Online Inf. Rev.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130339230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}