Pub Date : 2024-06-13DOI: 10.1108/oir-09-2023-0453
S. Lissitsa
PurposeIn a time of fake news, misinformation, and disinformation, critical thinking has become the most important skill for discerning false, incomplete, and outdated information and communication online. The study examines the effects of personal (gender, age, ethnicity, religiosity, and Big Five personality traits) and positional inequalities (education, occupational status, language proficiency) on critical thinking digital skills (CTDS) among generations X, Y, and Z.Design/methodology/approachAn online survey was conducted among 1,495 Israeli Jews between the ages of 18 and 57, belonging to the X, Y, and Z generations.FindingsThe findings show that CTDS among Gen X were significantly lower, by a large margin, than those of the younger generations, while Gen Z reported the highest level of these skills. Multivariate analysis indicated different effect patterns of personal and positional categorical variables on CTDS. We found that the contribution of personal demographic inequalities (gender, age, ethnicity and religiosity) to the explained variance in CTDS was most pronounced in Gen Y, compared to Gen X and Gen Z. The contribution of Big Five personality traits and positional social inequalities (education, occupational status and language proficiency) to explaining CTDS was similar between Gen X and Gen Y, but much less pronounced among Gen Z.Practical implicationsUnderstanding the intergenerational differences in CTDS is crucial for tailoring educational approaches, promoting inclusivity, and harnessing the diverse strengths of each generation to navigate an ever-evolving digital landscape successfully.Originality/valueFirst of its kind, this study combines Generational Cohort Theory with Resources and Appropriation Theory to identify which inequalities may hinder the acquisition of one of today’s most vital skills among three generations.
目的 在假新闻、错误信息和虚假信息充斥的时代，批判性思维已成为辨别虚假、不完整和过时信息及网络传播的最重要技能。本研究探讨了个人（性别、年龄、种族、宗教信仰和五大人格特质）和地位不平等（教育程度、职业状况、语言能力）对 X、Y 和 Z 三代人批判性思维数字技能（CTDS）的影响。研究结果研究结果表明，X 代人的批判性思维数字技能（CTDS）明显低于年轻一代人，且差距较大，而 Z 代人的此类技能水平最高。多变量分析表明，个人和职位分类变量对 CTDS 有不同的影响模式。我们发现，与 X 代和 Z 代相比，Y 代的个人人口统计不平等（性别、年龄、种族和宗教信仰）对 CTDS 解释变异的贡献最为显著。实践意义了解 CTDS 的代际差异对于调整教育方法、促进包容性以及利用每一代人的不同优势成功驾驭不断变化的数字环境至关重要。 原创性/价值本研究首次将代际队列理论与资源和挪用理论相结合，以确定哪些不平等现象可能会阻碍三代人掌握当今最重要的技能之一。
{"title":"Generations X, Y, Z: the effects of personal and positional inequalities on critical thinking digital skills","authors":"S. Lissitsa","doi":"10.1108/oir-09-2023-0453","DOIUrl":"https://doi.org/10.1108/oir-09-2023-0453","url":null,"abstract":"PurposeIn a time of fake news, misinformation, and disinformation, critical thinking has become the most important skill for discerning false, incomplete, and outdated information and communication online. The study examines the effects of personal (gender, age, ethnicity, religiosity, and Big Five personality traits) and positional inequalities (education, occupational status, language proficiency) on critical thinking digital skills (CTDS) among generations X, Y, and Z.Design/methodology/approachAn online survey was conducted among 1,495 Israeli Jews between the ages of 18 and 57, belonging to the X, Y, and Z generations.FindingsThe findings show that CTDS among Gen X were significantly lower, by a large margin, than those of the younger generations, while Gen Z reported the highest level of these skills. Multivariate analysis indicated different effect patterns of personal and positional categorical variables on CTDS. We found that the contribution of personal demographic inequalities (gender, age, ethnicity and religiosity) to the explained variance in CTDS was most pronounced in Gen Y, compared to Gen X and Gen Z. The contribution of Big Five personality traits and positional social inequalities (education, occupational status and language proficiency) to explaining CTDS was similar between Gen X and Gen Y, but much less pronounced among Gen Z.Practical implicationsUnderstanding the intergenerational differences in CTDS is crucial for tailoring educational approaches, promoting inclusivity, and harnessing the diverse strengths of each generation to navigate an ever-evolving digital landscape successfully.Originality/valueFirst of its kind, this study combines Generational Cohort Theory with Resources and Appropriation Theory to identify which inequalities may hinder the acquisition of one of today’s most vital skills among three generations.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"47 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141349604","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}
Pub Date : 2024-06-12DOI: 10.1108/oir-12-2022-0666
Majid Nabavi
PurposeThis paper investigates the news coverage of research documents with the top Altmetric attention score (AAS) using a descriptive and explorative approach.Design/methodology/approachA dataset comprising 1,000 articles with high AAS was retrieved from Altmetric.com. The DOIs of these articles were then used to retrieve citation data from Dimensions. Data collection was finalized on February 11, 2024, and separate Excel files were merged using SPSS. The research included subject analysis and conducted correlation and Mann–Whitney U statistical tests.FindingsThe study reveals that the highest number of articles with high AAS were published in 2020. News post correlation with citation count is stronger than with AAS score. From the top AAS documents, titles of those with the highest news post counts include public concern keywords, and their subjects were primarily biomedical and clinical sciences. While no significant difference exists between multidisciplinary and specialty journal news posts, there is an increase in the variety of news sources in 2020 and 2021. Documents on biomedical and clinical sciences receive the most attention primarily from US-based news outlets, and many of the news outlets covering top AAS documents do not have specific subject orientations.Practical implicationsResearchers and journal editors should prioritize factors influencing research news coverage, including subjects, writing styles, and publication sources. Science writers should expand their coverage to include academic publications from subject areas beyond biomedical and clinical sciences. They can also consider diverse publication sources, such as preprints.Originality/valueThis study offers insights into the news coverage of top social-attention academic articles and is among the first to analyze the news coverage of academic publications.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2022-0666
{"title":"Coverage of the research documents with top altmetric attention scores in online news","authors":"Majid Nabavi","doi":"10.1108/oir-12-2022-0666","DOIUrl":"https://doi.org/10.1108/oir-12-2022-0666","url":null,"abstract":"PurposeThis paper investigates the news coverage of research documents with the top Altmetric attention score (AAS) using a descriptive and explorative approach.Design/methodology/approachA dataset comprising 1,000 articles with high AAS was retrieved from Altmetric.com. The DOIs of these articles were then used to retrieve citation data from Dimensions. Data collection was finalized on February 11, 2024, and separate Excel files were merged using SPSS. The research included subject analysis and conducted correlation and Mann–Whitney U statistical tests.FindingsThe study reveals that the highest number of articles with high AAS were published in 2020. News post correlation with citation count is stronger than with AAS score. From the top AAS documents, titles of those with the highest news post counts include public concern keywords, and their subjects were primarily biomedical and clinical sciences. While no significant difference exists between multidisciplinary and specialty journal news posts, there is an increase in the variety of news sources in 2020 and 2021. Documents on biomedical and clinical sciences receive the most attention primarily from US-based news outlets, and many of the news outlets covering top AAS documents do not have specific subject orientations.Practical implicationsResearchers and journal editors should prioritize factors influencing research news coverage, including subjects, writing styles, and publication sources. Science writers should expand their coverage to include academic publications from subject areas beyond biomedical and clinical sciences. They can also consider diverse publication sources, such as preprints.Originality/valueThis study offers insights into the news coverage of top social-attention academic articles and is among the first to analyze the news coverage of academic publications.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2022-0666","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"39 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353369","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}
Pub Date : 2024-06-11DOI: 10.1108/oir-12-2023-0616
Wenna Han, Hanna Lee, Yingjiao Xu, Yang Cheng
PurposeThe COVID-19 outbreak has been accompanied by a massive “infodemic”, characterized by an overabundance of information, both accurate and inaccurate, making it hard for people to find trustworthy sources and reliable guidance. This study aims to investigate how the COVID-19 infodemic (i.e. information overload and untrustworthiness) influences consumers’ emotions (i.e. fear, anxiety and hope) by shaping their cognitive appraisals of the pandemic (i.e. perceived risk and uncertainty). Additionally, this study also investigates how individual differences (i.e. COVID-19 involvement and infection experience) impact their emotion formation process.Design/methodology/approachData were collected from 815 US consumers aged between 18 and 65 in November 2021 via an online survey. Structural equation modeling and multi-group comparison from AMOS 23 were used to test the proposed relationships.FindingsInformation overload increased one’s perceived risk and perceived uncertainty of COVID-19, which, in turn, structured the emotional states of fear, anxiety and hope. Information untrustworthiness had a significant impact on risk perception, which led to an increased feeling of fear. Additionally, individuals’ COVID-19 involvement and their infection experience with the coronavirus were found to moderate the cognitive appraisal process in developing emotions.Originality/valueThis study offers insights into the relationships between the information landscape and cognitive appraisals regarding health crises, specifically the COVID-19 pandemic. Not only enriching emotional well-being literature, it also lends managerial implications for effective communication strategies in global health emergencies.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2023-0616
{"title":"Impacts of the COVID-19 infodemic on emotions through cognitive appraisals","authors":"Wenna Han, Hanna Lee, Yingjiao Xu, Yang Cheng","doi":"10.1108/oir-12-2023-0616","DOIUrl":"https://doi.org/10.1108/oir-12-2023-0616","url":null,"abstract":"PurposeThe COVID-19 outbreak has been accompanied by a massive “infodemic”, characterized by an overabundance of information, both accurate and inaccurate, making it hard for people to find trustworthy sources and reliable guidance. This study aims to investigate how the COVID-19 infodemic (i.e. information overload and untrustworthiness) influences consumers’ emotions (i.e. fear, anxiety and hope) by shaping their cognitive appraisals of the pandemic (i.e. perceived risk and uncertainty). Additionally, this study also investigates how individual differences (i.e. COVID-19 involvement and infection experience) impact their emotion formation process.Design/methodology/approachData were collected from 815 US consumers aged between 18 and 65 in November 2021 via an online survey. Structural equation modeling and multi-group comparison from AMOS 23 were used to test the proposed relationships.FindingsInformation overload increased one’s perceived risk and perceived uncertainty of COVID-19, which, in turn, structured the emotional states of fear, anxiety and hope. Information untrustworthiness had a significant impact on risk perception, which led to an increased feeling of fear. Additionally, individuals’ COVID-19 involvement and their infection experience with the coronavirus were found to moderate the cognitive appraisal process in developing emotions.Originality/valueThis study offers insights into the relationships between the information landscape and cognitive appraisals regarding health crises, specifically the COVID-19 pandemic. Not only enriching emotional well-being literature, it also lends managerial implications for effective communication strategies in global health emergencies.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2023-0616","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"50 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360300","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}
PurposeThis research explores the complex interplay of multiple social factors with regard to what might encourage or inhibit users to interact with social commerce (SC).Design/methodology/approachTo investigate the phenomenon, we developed a model based on goal-directed behaviour and pluralistic ignorance theory (typically generated by universal behavioural adherence to social norms). Based on the 394 valid responses collected from a survey, partial least squares structural equation modelling (PLS-SEM), PROCESS and ANOVA were employed to examine the research hypotheses.FindingsThe results show that pluralistic ignorance and commercial desire positively influence SC intention. More importantly, our results show that the moderating effect of pluralistic ignorance dampens the positive relationship between social subjective norms and commercial desire. The findings also suggest that pluralistic ignorance mediates the relationships between: (1) social identity and SC intentions and (2) fear of isolation and SC intentions.Originality/valueConsequently, this study reveals that SC intentions result from complex interactions between an individual’s psychology and social phenomena. Theoretical and managerial implications are also discussed to provide for the successful development of strategies regarding SC for researchers and SNSs operators.
{"title":"How behaviour in terms of pluralistic ignorance affects social commerce intentions","authors":"Hao-Fan Chumg, Sheng-Pao Shih, I-Hua Hung, Wen-Chin Tsao, Jui-Lung Chen","doi":"10.1108/oir-09-2022-0532","DOIUrl":"https://doi.org/10.1108/oir-09-2022-0532","url":null,"abstract":"PurposeThis research explores the complex interplay of multiple social factors with regard to what might encourage or inhibit users to interact with social commerce (SC).Design/methodology/approachTo investigate the phenomenon, we developed a model based on goal-directed behaviour and pluralistic ignorance theory (typically generated by universal behavioural adherence to social norms). Based on the 394 valid responses collected from a survey, partial least squares structural equation modelling (PLS-SEM), PROCESS and ANOVA were employed to examine the research hypotheses.FindingsThe results show that pluralistic ignorance and commercial desire positively influence SC intention. More importantly, our results show that the moderating effect of pluralistic ignorance dampens the positive relationship between social subjective norms and commercial desire. The findings also suggest that pluralistic ignorance mediates the relationships between: (1) social identity and SC intentions and (2) fear of isolation and SC intentions.Originality/valueConsequently, this study reveals that SC intentions result from complex interactions between an individual’s psychology and social phenomena. Theoretical and managerial implications are also discussed to provide for the successful development of strategies regarding SC for researchers and SNSs operators.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"51 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358481","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}
Pub Date : 2024-06-10DOI: 10.1108/oir-10-2023-0531
Dimitris Trimithiotis, Iacovos I. Ioannou, V. Vassiliou, Panicos Christou, Stelios Chrysostomou, Erotokritos Erotokritou, Demetris Kaizer
PurposeThis article explores the synergy between journalism studies and computer science in the context of observing online news. By establishing web applications of online media observatories as research tools, researchers can employ various analytical approaches to gain valuable insights into online news discourse and production.Design/methodology/approachDrawing eight months of data (01.08.2022–30.04.2023) from the Labservatory’s web application, i.e. over 250,000 news items, the article demonstrates how some of this web application’s main functionalities may be useful in implementing (1) news flow analysis, (2) news topic distribution analysis and (3) media discourse analysis.FindingsThe capabilities provided by this web application, (1) to simultaneously analyse the daily news production of ten media outlets with varying features, (2) to rapidly collect a large volume of news items, (3) to identify the news categories as classified by the media themselves, (4) to present the results of the search in relevance order and (5) to automatically generate a search report, highlight the significance of this interdisciplinary collaboration for implementing comprehensive analyses of online news.Originality/valueThe article concludes by emphasising the importance of continuing this joint effort, as it opens new avenues for further research and provides a deeper grasp of the intricate relationship between journalism, technology and society in the digital era. The Labservatory also contributes to society since it may be used by the broader public for immediate access to more pluralistic information and thus for promoting both news media literacy and news media accountability.
{"title":"Labservatory: a synergy between journalism studies and computer science for online news observation","authors":"Dimitris Trimithiotis, Iacovos I. Ioannou, V. Vassiliou, Panicos Christou, Stelios Chrysostomou, Erotokritos Erotokritou, Demetris Kaizer","doi":"10.1108/oir-10-2023-0531","DOIUrl":"https://doi.org/10.1108/oir-10-2023-0531","url":null,"abstract":"PurposeThis article explores the synergy between journalism studies and computer science in the context of observing online news. By establishing web applications of online media observatories as research tools, researchers can employ various analytical approaches to gain valuable insights into online news discourse and production.Design/methodology/approachDrawing eight months of data (01.08.2022–30.04.2023) from the Labservatory’s web application, i.e. over 250,000 news items, the article demonstrates how some of this web application’s main functionalities may be useful in implementing (1) news flow analysis, (2) news topic distribution analysis and (3) media discourse analysis.FindingsThe capabilities provided by this web application, (1) to simultaneously analyse the daily news production of ten media outlets with varying features, (2) to rapidly collect a large volume of news items, (3) to identify the news categories as classified by the media themselves, (4) to present the results of the search in relevance order and (5) to automatically generate a search report, highlight the significance of this interdisciplinary collaboration for implementing comprehensive analyses of online news.Originality/valueThe article concludes by emphasising the importance of continuing this joint effort, as it opens new avenues for further research and provides a deeper grasp of the intricate relationship between journalism, technology and society in the digital era. The Labservatory also contributes to society since it may be used by the broader public for immediate access to more pluralistic information and thus for promoting both news media literacy and news media accountability.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"119 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141361194","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}
Pub Date : 2024-05-17DOI: 10.1108/oir-07-2022-0408
Xiaoyan Ding
PurposeEnterprises use social media for their daily work. The use of social media in the workplace is crucial for social connections, the growth and evolution of the enterprise, and it opens up new avenues for voice behavior. Employee voice involves the expression of ideas or opinions towards enterprise and is beneficial for employee work and enterprise development. Extant studies of voice behavior usually focus on the leadership and employee factors. However, the internal mechanism of voice behavior, especially the interrelationship between different kinds of social media use and voice behavior has not been well investigated. To fill that research gap, this study analyzes the internal mechanism of voice behavior, taking the effects of social media use and social capital into consideration.Design/methodology/approachUsing structural equation model, this study collected data from employees using social media and analyzed the data using the software of Smartpls 3.0, SPSS and AMOS, in order to analyze the internal mechanism of voice behavior among employees.FindingsBased on social capital theory, this study investigates the relationship between social media use, social capital and voice behavior, and provides some insights into the mechanism of voice behavior. The social media use, social capital and voice behavior are divided into several kinds in order to clarify the internal mechanism of voice behavior more comprehensively. The empirical results show that: (1) Social media use for both work and social-related purposes could positively affect employees’ promotive and prohibitive voice behaviors. (2) Social capital mediates the relationship between social media use and voice behavior. (3) In the process of social media use influencing employees’ voice behavior, employees of different genders and ages show significant differences in social capital and voice behavior.Originality/valueThis study explored the internal mechanism of voice behavior, which could help to elicit the relationship between social media use and voice behavior. By integrating the roles of social capital, individual differences, this study could uncover the deep internal mechanism of employee voice behavior more comprehensively, broadening social capital theory and enriching the researches of voice behavior among employees.
{"title":"The investigation of employee voice behavior – from the perspective of social media use in China","authors":"Xiaoyan Ding","doi":"10.1108/oir-07-2022-0408","DOIUrl":"https://doi.org/10.1108/oir-07-2022-0408","url":null,"abstract":"PurposeEnterprises use social media for their daily work. The use of social media in the workplace is crucial for social connections, the growth and evolution of the enterprise, and it opens up new avenues for voice behavior. Employee voice involves the expression of ideas or opinions towards enterprise and is beneficial for employee work and enterprise development. Extant studies of voice behavior usually focus on the leadership and employee factors. However, the internal mechanism of voice behavior, especially the interrelationship between different kinds of social media use and voice behavior has not been well investigated. To fill that research gap, this study analyzes the internal mechanism of voice behavior, taking the effects of social media use and social capital into consideration.Design/methodology/approachUsing structural equation model, this study collected data from employees using social media and analyzed the data using the software of Smartpls 3.0, SPSS and AMOS, in order to analyze the internal mechanism of voice behavior among employees.FindingsBased on social capital theory, this study investigates the relationship between social media use, social capital and voice behavior, and provides some insights into the mechanism of voice behavior. The social media use, social capital and voice behavior are divided into several kinds in order to clarify the internal mechanism of voice behavior more comprehensively. The empirical results show that: (1) Social media use for both work and social-related purposes could positively affect employees’ promotive and prohibitive voice behaviors. (2) Social capital mediates the relationship between social media use and voice behavior. (3) In the process of social media use influencing employees’ voice behavior, employees of different genders and ages show significant differences in social capital and voice behavior.Originality/valueThis study explored the internal mechanism of voice behavior, which could help to elicit the relationship between social media use and voice behavior. By integrating the roles of social capital, individual differences, this study could uncover the deep internal mechanism of employee voice behavior more comprehensively, broadening social capital theory and enriching the researches of voice behavior among employees.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"37 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140964849","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}
Pub Date : 2024-05-14DOI: 10.1108/oir-08-2023-0402
Gal Yavetz
PurposeTo explore a potential relationship between politicians’ media background and social media success through an analysis of content and engagement strategies adopted by three consecutive Israeli prime ministers on their official Facebook pages.Design/methodology/approachA detailed comparative content analysis of a total of 1,242 posts published by three Israeli prime ministers – Benjamin Netanyahu, Yair Lapid and Naftali Bennett – on the same official Facebook account, “the Prime Minister of Israel,” during their respective terms. Metrics like engagement rates, content distribution and media type utilization were considered.FindingsAll analyzed prime ministers exhibited consistent messaging strategies, suggesting a standardized approach to digital political communication. However, we found no correlation between a politician’s media background and their success on social media. Instead, decisive determinants of engagement outcomes were factors like longstanding political exposure and familiarity.Practical implicationsThe observed uniformity in leaders’ messaging strategies indicates a prevalent standardized approach in digital political communication, revealing potential avenues for innovation and diversification.Originality/valueThis research challenges the prevailing notion that background in media inherently benefits digital political engagement, emphasizing the significance of political experience. The results provide new insights into the evolving landscape of political communication. Using signaling theory to evaluate how digital content reveals leaders’ intentions and credibility, our findings provide new insights into political communication in the digital era.
{"title":"Political familiarity vs. journalism background: insights from three Israeli prime ministers on social media","authors":"Gal Yavetz","doi":"10.1108/oir-08-2023-0402","DOIUrl":"https://doi.org/10.1108/oir-08-2023-0402","url":null,"abstract":"PurposeTo explore a potential relationship between politicians’ media background and social media success through an analysis of content and engagement strategies adopted by three consecutive Israeli prime ministers on their official Facebook pages.Design/methodology/approachA detailed comparative content analysis of a total of 1,242 posts published by three Israeli prime ministers – Benjamin Netanyahu, Yair Lapid and Naftali Bennett – on the same official Facebook account, “the Prime Minister of Israel,” during their respective terms. Metrics like engagement rates, content distribution and media type utilization were considered.FindingsAll analyzed prime ministers exhibited consistent messaging strategies, suggesting a standardized approach to digital political communication. However, we found no correlation between a politician’s media background and their success on social media. Instead, decisive determinants of engagement outcomes were factors like longstanding political exposure and familiarity.Practical implicationsThe observed uniformity in leaders’ messaging strategies indicates a prevalent standardized approach in digital political communication, revealing potential avenues for innovation and diversification.Originality/valueThis research challenges the prevailing notion that background in media inherently benefits digital political engagement, emphasizing the significance of political experience. The results provide new insights into the evolving landscape of political communication. Using signaling theory to evaluate how digital content reveals leaders’ intentions and credibility, our findings provide new insights into political communication in the digital era.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"15 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140979850","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}
Pub Date : 2024-05-07DOI: 10.1108/oir-06-2021-0292
Yueh-Min Huang, Di Wang, Ho-Yuan Hsieh, Y. Huang
PurposeThe purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.Design/methodology/approachA theoretical model was developed with reference to the personality traits theory and the social capital theory. Accordingly, a questionnaire was designed to collect the individuals’ ideas on knowledge sharing on social media and further test the model. The questionnaire was then distributed to two LINE groups. Finally, the collected data were analyzed using the partial least squares (PLS) approach.FindingsPersonality traits not only directly affect knowledge sharing, but also indirectly influence it via social capital. Of all personality traits, agreeableness, openness and extraversion directly and indirectly influence knowledge sharing.Research limitations/implicationsKnowledge sharing is undertaken by individuals and social groups. It starts with individuals and then diffuses to other members of a group.Practical implicationsGroup managers have to identify the members who are friendly, open-minded or extroverted and encourage them to act as the bellwethers for knowledge sharing under an effective regulatory regime, through which intra-group knowledge sharing can be promoted.Originality/valueThis study introduces a new model to explore knowledge sharing on social media from individual and social perspectives. It illustrates what will affect individuals’ knowledge sharing on social media.
本文旨在从人格特质和社会资本的角度研究哪些因素会影响个人在社交媒体上的知识共享。设计/方法/途径参考人格特质理论和社会资本理论建立了一个理论模型。据此，设计了一份调查问卷，以收集个人对社交媒体知识共享的看法，并进一步检验该模型。然后，将问卷分发给两个 LINE 小组。结果人格特质不仅直接影响知识共享，还通过社会资本间接影响知识共享。在所有人格特质中，宜人性、开放性和外向性直接或间接影响知识共享。实践意义群体管理者必须识别那些友善、思想开放或外向的成员，并在有效的监管制度下鼓励他们成为知识共享的风向标，从而促进群体内部的知识共享。它说明了什么会影响个人在社交媒体上的知识共享。
{"title":"Exploring knowledge sharing on social media from the perspectives of personality traits and social capital","authors":"Yueh-Min Huang, Di Wang, Ho-Yuan Hsieh, Y. Huang","doi":"10.1108/oir-06-2021-0292","DOIUrl":"https://doi.org/10.1108/oir-06-2021-0292","url":null,"abstract":"PurposeThe purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.Design/methodology/approachA theoretical model was developed with reference to the personality traits theory and the social capital theory. Accordingly, a questionnaire was designed to collect the individuals’ ideas on knowledge sharing on social media and further test the model. The questionnaire was then distributed to two LINE groups. Finally, the collected data were analyzed using the partial least squares (PLS) approach.FindingsPersonality traits not only directly affect knowledge sharing, but also indirectly influence it via social capital. Of all personality traits, agreeableness, openness and extraversion directly and indirectly influence knowledge sharing.Research limitations/implicationsKnowledge sharing is undertaken by individuals and social groups. It starts with individuals and then diffuses to other members of a group.Practical implicationsGroup managers have to identify the members who are friendly, open-minded or extroverted and encourage them to act as the bellwethers for knowledge sharing under an effective regulatory regime, through which intra-group knowledge sharing can be promoted.Originality/valueThis study introduces a new model to explore knowledge sharing on social media from individual and social perspectives. It illustrates what will affect individuals’ knowledge sharing on social media.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"32 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141005410","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}
Pub Date : 2024-05-07DOI: 10.1108/oir-09-2023-0505
Mingfei Sun, Xu Dong
PurposeThe proliferation of health misinformation on social media has increasingly engaged scholarly interest. This research examines the determinants influencing users’ proactive correction of health misinformation, a crucial strategy in combatting health misbeliefs. Grounded in the elaboration likelihood model (ELM), this research investigates how factors including issue involvement, information literacy and active social media use impact health misinformation recognition and intention to correct it.Design/methodology/approachA total of 413 social media users finished a national online questionnaire. SPSS 26.0, AMOS 21.0 and PROCESS Macro 4.1 were used to address the research hypotheses and questions.FindingsResults indicated that issue involvement and information literacy both contribute to health misinformation correction intention (HMCI), while misinformation recognition acts as a mediator between information literacy and HMCI. Moreover, active social media use moderated the influence of information literacy on HMCI.Originality/valueThis study not only extends the ELM into the research domain of correcting health misinformation on social media but also enriches the perspective of individual fact-checking intention research by incorporating dimensions of users’ motivation, capability and behavioral patterns.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2023-0505
目的 社交媒体上健康误导信息的扩散越来越引起学者们的兴趣。本研究探讨了影响用户主动纠正健康误导信息的决定因素，这是消除健康误解的一项重要策略。本研究以阐述可能性模型（ELM）为基础，探讨了包括问题参与、信息素养和社交媒体的积极使用等因素如何影响健康误导信息的识别和纠正意图。研究结果表明，问题参与和信息素养都有助于健康误导纠正意愿（HMCI），而误导识别则是信息素养和健康误导纠正意愿之间的中介。此外，社交媒体的活跃使用调节了信息素养对 HMCI 的影响。原创性/价值这项研究不仅将 ELM 扩展到了社交媒体上健康误导信息更正的研究领域，而且通过纳入用户的动机、能力和行为模式等维度，丰富了个人事实核查意向研究的视角。同行评议本文的同行评议历史见：https://publons.com/publon/10.1108/OIR-09-2023-0505。
{"title":"Factors influencing correction upon exposure to health misinformation on social media: the moderating role of active social media use","authors":"Mingfei Sun, Xu Dong","doi":"10.1108/oir-09-2023-0505","DOIUrl":"https://doi.org/10.1108/oir-09-2023-0505","url":null,"abstract":"PurposeThe proliferation of health misinformation on social media has increasingly engaged scholarly interest. This research examines the determinants influencing users’ proactive correction of health misinformation, a crucial strategy in combatting health misbeliefs. Grounded in the elaboration likelihood model (ELM), this research investigates how factors including issue involvement, information literacy and active social media use impact health misinformation recognition and intention to correct it.Design/methodology/approachA total of 413 social media users finished a national online questionnaire. SPSS 26.0, AMOS 21.0 and PROCESS Macro 4.1 were used to address the research hypotheses and questions.FindingsResults indicated that issue involvement and information literacy both contribute to health misinformation correction intention (HMCI), while misinformation recognition acts as a mediator between information literacy and HMCI. Moreover, active social media use moderated the influence of information literacy on HMCI.Originality/valueThis study not only extends the ELM into the research domain of correcting health misinformation on social media but also enriches the perspective of individual fact-checking intention research by incorporating dimensions of users’ motivation, capability and behavioral patterns.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2023-0505","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"8 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141004675","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}
Pub Date : 2024-05-01DOI: 10.1108/oir-10-2023-0526
Thac Dang‐Van, Vu Thinh Truong, Phuoc-Thien Nguyen, Wong Ming Wong, Ninh Nguyen
PurposeThis study is based on the regulatory focus theory and conservation of resources theory to examine how information confusion leads to users’ discontinuous usage intention of social networking sites (SNSs), with the mediating mechanisms of users’ motivation and affectivity.Design/methodology/approachData were obtained from 270 users in different SNSs in Vietnam. Structural equation modeling was used to analyze the sample data and test the hypotheses.FindingsResults show that information confusion has a positive influence on discontinuous usage intention, and prevention focus positively mediates this relationship. Furthermore, the negative affectivity positively mediates the link between information confusion and discontinuous usage intention and that between prevention focus and discontinuous usage intention. In addition, prevention focus and negative affectivity together play a serial mediating effect in the link between information confusion and discontinuous usage intention.Originality/valueThis study extends the regulatory focus theory and conservation of resources theory to validate a model that explains the transitional process of users’ motivation and affectivity in the link between information confusion and discontinuous usage intention of SNSs. The findings of this study provide implications for academic researchers and business managers of SNSs to understand and make better decisions to retain their users.
{"title":"Investigating users' discontinuous usage intention toward social networking sites: the roles of motivation and affectivity","authors":"Thac Dang‐Van, Vu Thinh Truong, Phuoc-Thien Nguyen, Wong Ming Wong, Ninh Nguyen","doi":"10.1108/oir-10-2023-0526","DOIUrl":"https://doi.org/10.1108/oir-10-2023-0526","url":null,"abstract":"PurposeThis study is based on the regulatory focus theory and conservation of resources theory to examine how information confusion leads to users’ discontinuous usage intention of social networking sites (SNSs), with the mediating mechanisms of users’ motivation and affectivity.Design/methodology/approachData were obtained from 270 users in different SNSs in Vietnam. Structural equation modeling was used to analyze the sample data and test the hypotheses.FindingsResults show that information confusion has a positive influence on discontinuous usage intention, and prevention focus positively mediates this relationship. Furthermore, the negative affectivity positively mediates the link between information confusion and discontinuous usage intention and that between prevention focus and discontinuous usage intention. In addition, prevention focus and negative affectivity together play a serial mediating effect in the link between information confusion and discontinuous usage intention.Originality/valueThis study extends the regulatory focus theory and conservation of resources theory to validate a model that explains the transitional process of users’ motivation and affectivity in the link between information confusion and discontinuous usage intention of SNSs. The findings of this study provide implications for academic researchers and business managers of SNSs to understand and make better decisions to retain their users.","PeriodicalId":503252,"journal":{"name":"Online Information Review","volume":"34 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141044903","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：