Pub Date : 2023-07-03DOI: 10.1108/oir-01-2022-0057
I. Aksar, A. Firdaus, Jiankun Gong, Saadia Anwar Pasha
PurposeThe unstoppable and exponential growth of social media use has given rise to concerns about the consequent effects on users. Among the major concerns are the psychological consequences, which have received considerable academic attention. The current mixed-methods research aims to examine women's social media use and its effects on their psychological well-being in a patriarchal culture, namely Pakistan.Design/methodology/approachThis study employs a mixed-method research methodology. The quantitative section collected data from 240 women and used structural equation modelling to test the proposed hypotheses. Thematic analysis was used to analyse the in-depth interviews with ten women.FindingsThe integration of the findings revealed increased use of social media by women and its beneficial effects (communication and socialisation, escapism and self-presentation), though qualitative findings revealed the cultural implications and obstacles that women face (online anonymity and digital asylum). The study calls attention to women's social media usage patterns and the resulting effects on women's psychological well-being in a low-income country with a patriarchal social structure.Originality/valueMost research remains limited to Western societies and young populations. The situation is somewhat different in developing economies with traditionally preserved cultures compared to Western societies. This study uniquely examines the influence of social media on psychological well-being in a developing country with a special cultural context.
{"title":"Examining the impacts of social media on the psychological well-being in a patriarchal culture: a study of women in Pakistan","authors":"I. Aksar, A. Firdaus, Jiankun Gong, Saadia Anwar Pasha","doi":"10.1108/oir-01-2022-0057","DOIUrl":"https://doi.org/10.1108/oir-01-2022-0057","url":null,"abstract":"PurposeThe unstoppable and exponential growth of social media use has given rise to concerns about the consequent effects on users. Among the major concerns are the psychological consequences, which have received considerable academic attention. The current mixed-methods research aims to examine women's social media use and its effects on their psychological well-being in a patriarchal culture, namely Pakistan.Design/methodology/approachThis study employs a mixed-method research methodology. The quantitative section collected data from 240 women and used structural equation modelling to test the proposed hypotheses. Thematic analysis was used to analyse the in-depth interviews with ten women.FindingsThe integration of the findings revealed increased use of social media by women and its beneficial effects (communication and socialisation, escapism and self-presentation), though qualitative findings revealed the cultural implications and obstacles that women face (online anonymity and digital asylum). The study calls attention to women's social media usage patterns and the resulting effects on women's psychological well-being in a low-income country with a patriarchal social structure.Originality/valueMost research remains limited to Western societies and young populations. The situation is somewhat different in developing economies with traditionally preserved cultures compared to Western societies. This study uniquely examines the influence of social media on psychological well-being in a developing country with a special cultural context.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"44 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91188155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-30DOI: 10.1108/oir-06-2022-0345
Haleema Saadia, M. Naveed
PurposeThis research examined the effects of information literacy on lifelong learning, creativity, and work performance among journalists in Pakistan.Design/methodology/approachSurvey research design was applied to conduct this research. The participants were recruited through a stratified convenient sampling process from the press clubs of four provinces (e.g. Punjab, Sindh, Khyber Pakhtunkhwa, and Baluchistan) and the federal capital Islamabad with the consent of relevant authorities for data collection. An online questionnaire was distributed among these journalists and a total of 1,089 responses were received. The data were analyzed by applying descriptive and inferential statistics in SPSS.FindingsThe results revealed that these journalists perceived themselves as information literate. The information literacy (IL) skills of journalists appeared to have a direct and positive effect on their lifelong learning, creativity, and work performance. In other words, the lifelong learning, creativity, and work performance of journalists increase as their levels of IL skills increase.Practical implicationsThese results generated useful insights for academicians and organizations about the importance of IL in the workplace and its influence on organizational effectiveness and performance in gaining a sustainable competitive advantage. This knowledge might be crucial for media employers to initiate training programs for journalists to impart IL education.Originality/valueThis research would be a worthwhile contribution to the existing research on workplace IL, particularly in the context of journalists' workplace as no such comprehensive study using these variables appeared so far.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2022-0345.
{"title":"Effect of information literacy on lifelong learning, creativity, and work performance among journalists","authors":"Haleema Saadia, M. Naveed","doi":"10.1108/oir-06-2022-0345","DOIUrl":"https://doi.org/10.1108/oir-06-2022-0345","url":null,"abstract":"PurposeThis research examined the effects of information literacy on lifelong learning, creativity, and work performance among journalists in Pakistan.Design/methodology/approachSurvey research design was applied to conduct this research. The participants were recruited through a stratified convenient sampling process from the press clubs of four provinces (e.g. Punjab, Sindh, Khyber Pakhtunkhwa, and Baluchistan) and the federal capital Islamabad with the consent of relevant authorities for data collection. An online questionnaire was distributed among these journalists and a total of 1,089 responses were received. The data were analyzed by applying descriptive and inferential statistics in SPSS.FindingsThe results revealed that these journalists perceived themselves as information literate. The information literacy (IL) skills of journalists appeared to have a direct and positive effect on their lifelong learning, creativity, and work performance. In other words, the lifelong learning, creativity, and work performance of journalists increase as their levels of IL skills increase.Practical implicationsThese results generated useful insights for academicians and organizations about the importance of IL in the workplace and its influence on organizational effectiveness and performance in gaining a sustainable competitive advantage. This knowledge might be crucial for media employers to initiate training programs for journalists to impart IL education.Originality/valueThis research would be a worthwhile contribution to the existing research on workplace IL, particularly in the context of journalists' workplace as no such comprehensive study using these variables appeared so far.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2022-0345.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"116 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80803730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1108/oir-03-2022-0157
Fan-Chen Tseng, P. Liu, T. Cheng, Ching-I. Teng
PurposeThis study intended to identify and categorize the drivers of using online English learning resources (OELR) and to understand OELR's impacts.Design/methodology/approachThe authors conducted an online survey, obtained complete responses from 157 OELR users and used structural equation modeling (SEM) for hypothesis testing.FindingsMost utilitarian and hedonic drivers lead to positive perceptions of OELR, which in turn positively contribute to continuance intention (CI). Two counterintuitive findings were obtained. First, functionality was negatively related to the perception of ease of use. Second, perceived ease of use (PEOU) was not related to CI to use OELR.Practical implicationsThis study has implications as follows: (1) complexity of the functions of OELR may deter rather than attract users, (2) ease of use of OELR is not directly positively related to CIs and (3) users may seek practical benefits (utilitarian) and experiential learning processes (hedonic) when using OELR.Originality/valueThe authors' study has theoretical significance by being the first to caution that excessive functionality or complexity in assisting learning tools would likely hinder further use of OELR. The practical significance of this finding is that the finding highlights two factors (perceived usefulness (PU) and perceived enjoyment) that could effectively increase OELR use.
{"title":"Using online English learning resources: utilitarian and hedonic perspectives","authors":"Fan-Chen Tseng, P. Liu, T. Cheng, Ching-I. Teng","doi":"10.1108/oir-03-2022-0157","DOIUrl":"https://doi.org/10.1108/oir-03-2022-0157","url":null,"abstract":"PurposeThis study intended to identify and categorize the drivers of using online English learning resources (OELR) and to understand OELR's impacts.Design/methodology/approachThe authors conducted an online survey, obtained complete responses from 157 OELR users and used structural equation modeling (SEM) for hypothesis testing.FindingsMost utilitarian and hedonic drivers lead to positive perceptions of OELR, which in turn positively contribute to continuance intention (CI). Two counterintuitive findings were obtained. First, functionality was negatively related to the perception of ease of use. Second, perceived ease of use (PEOU) was not related to CI to use OELR.Practical implicationsThis study has implications as follows: (1) complexity of the functions of OELR may deter rather than attract users, (2) ease of use of OELR is not directly positively related to CIs and (3) users may seek practical benefits (utilitarian) and experiential learning processes (hedonic) when using OELR.Originality/valueThe authors' study has theoretical significance by being the first to caution that excessive functionality or complexity in assisting learning tools would likely hinder further use of OELR. The practical significance of this finding is that the finding highlights two factors (perceived usefulness (PU) and perceived enjoyment) that could effectively increase OELR use.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"19 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80517894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-18DOI: 10.1108/oir-09-2022-0502
H. Sotudeh
PurposeDespite the widespread studies on the attitudes about OA, there exists little comparative evidence about the opinions of author and non-author parties at a global level in a social context. To bridge the gap, this study first investigated the opinions of the users who posted at least one tweet about OA in 2019. Then, it zoomed in to explore the views of the OA-interested tweeters, i.e. the users who have posted five or more tweets about OA.Design/methodology/approachUsing a content analysis method, with an opinion-mining approach, this study examined a sample of 9,268 OA-related tweets posted by 5,227 tweeters in 2019. The sentiments were analyzed using SentiStrength. A threshold of at least five tweets was set to identify the OA-interested tweeters.FindingsAcademics and scholars, library and information professionals, and journals and publishers were the main OA-interested tweeters, implying that OA debates have not been widely propagated from its traditional audience to the general public. Despite an overall positive attitude, the tweeters showed negative perspectives about the gold and hybrid models, validity and quality, and costs and funds. The negativity depended on the OA features tweeted, the tweeters' occupations and gender, as well as the trends.Research limitations/implicationsThe low societal impact of the OA debates calls for solutions to attract the public's attention and to exploit their potential to achieve the OA ideals. The OA stakeholders' divergence necessitates finding solutions to remedy the pitfalls. It also underlines the need for scrutiny into social layers when studying society's opinions and behaviors in a social network.Originality/valueThis is the first study in estimating the extent of the societal impact of OA debates, comparing the social OA stakeholders' opinions and their dependence on the OA features tweeted, the tweeter roles and gender and the tweet trending status.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0502
{"title":"How social are open-access debates: a follow-up study of tweeters' sentiments","authors":"H. Sotudeh","doi":"10.1108/oir-09-2022-0502","DOIUrl":"https://doi.org/10.1108/oir-09-2022-0502","url":null,"abstract":"PurposeDespite the widespread studies on the attitudes about OA, there exists little comparative evidence about the opinions of author and non-author parties at a global level in a social context. To bridge the gap, this study first investigated the opinions of the users who posted at least one tweet about OA in 2019. Then, it zoomed in to explore the views of the OA-interested tweeters, i.e. the users who have posted five or more tweets about OA.Design/methodology/approachUsing a content analysis method, with an opinion-mining approach, this study examined a sample of 9,268 OA-related tweets posted by 5,227 tweeters in 2019. The sentiments were analyzed using SentiStrength. A threshold of at least five tweets was set to identify the OA-interested tweeters.FindingsAcademics and scholars, library and information professionals, and journals and publishers were the main OA-interested tweeters, implying that OA debates have not been widely propagated from its traditional audience to the general public. Despite an overall positive attitude, the tweeters showed negative perspectives about the gold and hybrid models, validity and quality, and costs and funds. The negativity depended on the OA features tweeted, the tweeters' occupations and gender, as well as the trends.Research limitations/implicationsThe low societal impact of the OA debates calls for solutions to attract the public's attention and to exploit their potential to achieve the OA ideals. The OA stakeholders' divergence necessitates finding solutions to remedy the pitfalls. It also underlines the need for scrutiny into social layers when studying society's opinions and behaviors in a social network.Originality/valueThis is the first study in estimating the extent of the societal impact of OA debates, comparing the social OA stakeholders' opinions and their dependence on the OA features tweeted, the tweeter roles and gender and the tweet trending status.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0502","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"17 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89912564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.1108/oir-05-2022-0279
Shivangi Verma, N. Garg
Purpose Previous studies highlighted a shortage of scale to measure digital citizenship among Indians. Accordingly, this study examined the psychometric properties of Jones and Mitchell’s (2016) digital citizenship scale in the Indian context with the help of two independent studies.Design/methodology/approach In the first study, the factorial validity of the scale was determined using the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). In the second study, Cronbach’s alpha (CA) and composite reliability (CR) values checked the internal consistency reliability of the scale. Also, convergent, discriminant and criterion validity were examined.Findings EFA recommended a two-factor structure explaining 58.219% of the total variance. The item loadings varied from 0.540 to 0.793. The Indian version of the scale showed one variation. In the original digital citizenship scale, the seventh statement (“I like to present myself online as someone was making positive choices”) was part of factor 1 (online respect); however, this study suggested that the seventh statement should be included in factor 2 (online civic engagement). In the second study, the acceptable (>0.70) values of CA and CR concluded the internal consistency reliability of the scale. The convergent validity was suggested by average variance explained values (>0.50). In addition, as expected, the Indian version of the digital citizenship scale reported a statistically significant positive correlation with Internet self-efficacy and a considerable negative relationship with cyberbullying. These findings concluded the criterion validity of the scale.Originality/value The Indian version of the digital citizenship scale showed appreciable psychometric properties among Indian students.
{"title":"Exploring the psychometric properties of the digital citizenship scale among Indian students","authors":"Shivangi Verma, N. Garg","doi":"10.1108/oir-05-2022-0279","DOIUrl":"https://doi.org/10.1108/oir-05-2022-0279","url":null,"abstract":"Purpose Previous studies highlighted a shortage of scale to measure digital citizenship among Indians. Accordingly, this study examined the psychometric properties of Jones and Mitchell’s (2016) digital citizenship scale in the Indian context with the help of two independent studies.Design/methodology/approach In the first study, the factorial validity of the scale was determined using the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). In the second study, Cronbach’s alpha (CA) and composite reliability (CR) values checked the internal consistency reliability of the scale. Also, convergent, discriminant and criterion validity were examined.Findings EFA recommended a two-factor structure explaining 58.219% of the total variance. The item loadings varied from 0.540 to 0.793. The Indian version of the scale showed one variation. In the original digital citizenship scale, the seventh statement (“I like to present myself online as someone was making positive choices”) was part of factor 1 (online respect); however, this study suggested that the seventh statement should be included in factor 2 (online civic engagement). In the second study, the acceptable (>0.70) values of CA and CR concluded the internal consistency reliability of the scale. The convergent validity was suggested by average variance explained values (>0.50). In addition, as expected, the Indian version of the digital citizenship scale reported a statistically significant positive correlation with Internet self-efficacy and a considerable negative relationship with cyberbullying. These findings concluded the criterion validity of the scale.Originality/value The Indian version of the digital citizenship scale showed appreciable psychometric properties among Indian students.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"22 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86331790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.1108/oir-10-2022-0574
Carlos Lopezosa, Dimitrios Giomelakis, Leyberson Pedrosa, Lluís Codina
PurposeThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism.Design/methodology/approachThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.FindingsThis study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.Originality/valueAlthough research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574
{"title":"Google Discover: uses, applications and challenges in the digital journalism of Spain, Brazil and Greece","authors":"Carlos Lopezosa, Dimitrios Giomelakis, Leyberson Pedrosa, Lluís Codina","doi":"10.1108/oir-10-2022-0574","DOIUrl":"https://doi.org/10.1108/oir-10-2022-0574","url":null,"abstract":"PurposeThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism.Design/methodology/approachThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.FindingsThis study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.Originality/valueAlthough research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"72 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74913907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-02DOI: 10.1108/oir-09-2022-0507
Chen Luo, Yijia Zhu, Anfan Chen
PurposeDrawing upon the third-person effect (TPE) theory, this study focuses on two types of misinformation countering intentions (i.e. simple correction and correction with justification). Accordingly, it aims to (1) assess the tenability of the third-person perception (TPP) in the face of misinformation on social media, (2) explore the antecedents of TPP and its relationship with individual-level misinformation countering intentions and (3) examine whether the mediating process is contingent on different social media usage conditions.Design/methodology/approachAn online survey was conducted with 1,000 representative respondents recruited in Mainland China in January 2022 using quota sampling. Paired t-test, multiple linear regression and moderated mediation analysis were employed to examine the proposed hypotheses.FindingsResults bolster the fundamental proposition of TPP that individuals perceive others as more susceptible to social media misinformation than they are. The self-other perceptual bias served as a mediator between the perceived consequence of misinformation and misinformation countering (i.e. simple correction and correction with justification) intentions. Furthermore, intensive social media users were likely to be motivated to counter social media misinformation derived from the indirect mechanism.Originality/valueThe findings provide further evidence for the role of TPE in explaining misinformation countering intention as prosocial and altruistic behavior rather than self-serving behavior. Practically, promising ways to combat rampant misinformation on social media include promoting the prosocial aspects and beneficial outcomes of misinformation countering efforts to others, as well as reconfiguring the strategies by impelling intensive social media users to participate in enacting countering actionsPeer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0507.
{"title":"What motivates people to counter misinformation on social media? Unpacking the roles of perceived consequences, third-person perception and social media use","authors":"Chen Luo, Yijia Zhu, Anfan Chen","doi":"10.1108/oir-09-2022-0507","DOIUrl":"https://doi.org/10.1108/oir-09-2022-0507","url":null,"abstract":"PurposeDrawing upon the third-person effect (TPE) theory, this study focuses on two types of misinformation countering intentions (i.e. simple correction and correction with justification). Accordingly, it aims to (1) assess the tenability of the third-person perception (TPP) in the face of misinformation on social media, (2) explore the antecedents of TPP and its relationship with individual-level misinformation countering intentions and (3) examine whether the mediating process is contingent on different social media usage conditions.Design/methodology/approachAn online survey was conducted with 1,000 representative respondents recruited in Mainland China in January 2022 using quota sampling. Paired t-test, multiple linear regression and moderated mediation analysis were employed to examine the proposed hypotheses.FindingsResults bolster the fundamental proposition of TPP that individuals perceive others as more susceptible to social media misinformation than they are. The self-other perceptual bias served as a mediator between the perceived consequence of misinformation and misinformation countering (i.e. simple correction and correction with justification) intentions. Furthermore, intensive social media users were likely to be motivated to counter social media misinformation derived from the indirect mechanism.Originality/valueThe findings provide further evidence for the role of TPE in explaining misinformation countering intention as prosocial and altruistic behavior rather than self-serving behavior. Practically, promising ways to combat rampant misinformation on social media include promoting the prosocial aspects and beneficial outcomes of misinformation countering efforts to others, as well as reconfiguring the strategies by impelling intensive social media users to participate in enacting countering actionsPeer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0507.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"33 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79180976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-01DOI: 10.1108/oir-03-2022-0186
Rachel X. Peng, R. Wang
Purpose As public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.Design/methodology/approach Utilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.Findings In general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.Originality/value This study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/OIR-03-2022-0186
{"title":"The infinity vaccine war: linguistic regularities and audience engagement of vaccine debate on Twitter","authors":"Rachel X. Peng, R. Wang","doi":"10.1108/oir-03-2022-0186","DOIUrl":"https://doi.org/10.1108/oir-03-2022-0186","url":null,"abstract":"Purpose As public health professionals strive to promote vaccines for inoculation efforts, fervent anti-vaccination movements are marshaling against it. This study is motived by a need to better understand the online discussion around vaccination. The authors identified the sentiments, emotions and topics of pro- and anti-vaxxers’ tweets, investigated their change since the pandemic started and further examined the associations between these content features and audiences’ engagement.Design/methodology/approach Utilizing a snowball sampling method, data were collected from the Twitter accounts of 100 pro-vaxxers (266,680 tweets) and 100 anti-vaxxers (248,425 tweets). The authors are adopting a zero-shot machine learning algorithm with a pre-trained transformer-based model for sentiment analysis and structural topic modeling to extract the topics. And the authors use the hurdle negative binomial model to test the relationships among sentiment/emotion, topics and engagement.Findings In general, pro-vaxxers used more positive tones and more emotions of joy in their tweets, while anti-vaxxers utilized more negative terms. The cues of sadness predominantly encourage retweets across the pro- and anti-vaccine corpus, while tweets amplifying the emotion of surprise are more attention-grabbing and getting more likes. Topic modeling of tweets yields the top 15 topics for pro- and anti-vaxxers separately. Among the pro-vaxxers’ tweets, the topics of “Child protection” and “COVID-19 situation” are positively predicting audiences’ engagement. For anti-vaxxers, the topics of “Supporting Trump,” “Injured children,” “COVID-19 situation,” “Media propaganda” and “Community building” are more appealing to audiences.Originality/value This study utilizes social media data and a state-of-art machine learning algorithm to generate insights into the development of emotionally appealing content and effective vaccine promotion strategies while combating coronavirus disease 2019 and moving toward a global recovery.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/OIR-03-2022-0186","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"26 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90348138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-24DOI: 10.1108/oir-09-2022-0492
S. Tsang, Jingwei Zheng, Wenshu Li, M. Salaudeen
PurposeGiven the rapid growth in efforts on misinformation correction, the study aims to test how evidence type and veracity interact with news agreement on the effectiveness of fact-checking on how well a corrective message discount a false news information.Design/methodology/approachExperimental participants (N = 511) in Hong Kong were exposed to the same news article and then to a piece of corrective information debunking the news article with variation in the types of evidence (numerical vs narrative) and veracity (no verdict vs half false vs entirely false) in 2019.FindingsAmong the participants who disagreed with the news article, numerical fact-checking was more effective than narrative fact-checking in discounting the news article. Some evidence of the backfire effect was found among participants for whom the article was attitude incongruent.Originality/valueWhen debunking false information with people exposed to attitude-incongruent news, a milder verdict presented in the form of a half-false scale can prompt a more positive perception of the issue at stake than an entirely false scale, implying that a less certain verdict can help in mitigating the backfire effect compared to a certain verdict.
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Pub Date : 2023-04-20DOI: 10.1108/oir-02-2022-0117
A. N. Mohamad, A. Sylvester, Jennifer Campbell-Meier
PurposeThis study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software.Design/methodology/approachIn this study, the authors extracted metadata of 442 documents from a bibliographic database. The authors used a bibliometric mapping tool for familiarization with the literature. After that, the authors used qualitative analysis software to develop taxonomy.FindingsThis paper developed taxonomy of OGD with three research areas: implementation and management, architecture, users and utilization. These research areas are further analyzed into seven topics and twenty-eight subtopics. The present study extends Charalabidis et al. (2016) taxonomy by adding two research topics, namely the adoption factors and barriers of OGD implementations and OGD ecosystems. Also, the authors include artificial intelligence in the taxonomy as an emerging research interest in the literature. The authors suggest four directions for future research: indigenous knowledge in open data, open data at local governments, development of OGD-specific theories and user studies in certain research themes.Practical implicationsEarly career researchers and doctoral students can use the taxonomy to familiarize themselves with the literature. Also, established researchers can use the proposed taxonomy to inform future research. Taxonomy-building procedures in this study are applicable to other fields.Originality/valueThis study developed a novel taxonomy of research areas in OGD. Taxonomy building is significant because there is insufficient taxonomy of research areas in this discipline. Also, conceptual knowledge through taxonomy creation is a basis for theorizing and theory-building for future studies.
目的通过文献计量制图工具和定性分析软件，建立政府开放数据研究领域的分类体系。设计/方法/方法在本研究中，作者从书目数据库中提取了442篇文献的元数据。作者使用文献计量测绘工具来熟悉文献。然后利用定性分析软件进行分类。本文从实现与管理、体系结构、用户与利用三个方面对OGD进行了分类。这些研究领域进一步分析为7个主题和28个子主题。本研究扩展了Charalabidis et al.(2016)的分类，增加了OGD实施的采用因素和障碍以及OGD生态系统两个研究主题。此外，作者将人工智能作为文献中新兴的研究兴趣纳入分类学。作者提出了未来研究的四个方向:开放数据的本土知识、地方政府的开放数据、ogd特定理论的发展以及特定研究主题的用户研究。实际意义早期职业研究人员和博士生可以使用分类法来熟悉自己的文献。此外，成熟的研究人员可以使用提出的分类法为未来的研究提供信息。本研究的分类建立程序可适用于其他领域。原创性/价值本研究提出了一种新的OGD研究领域分类方法。由于该学科的研究领域分类不足，分类建设具有重要意义。通过分类法创造概念知识，为今后的研究提供理论和理论建构的基础。
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