Online Information Review

Hou, Lei; Pan, Xue

2022 Online Information Review

doi: 10.1108/oir-06-2020-0244

Experienced reviewers in general can produce high-quality product reviews, and thereby get more helpful votes. This paper explores the question that whether the depth and width of the reviewers' experience distribution have effects on the helpfulness of their reviews.Design/methodology/approachAdopting the restaurant review data from Yelp, the present paper classifies the restaurants in to different categories applying the Word2Vec technique, such as Asian or fast food. By evaluating the number of a user's historical reviews in a specific category, and the evenness of such distribution in different categories, the experience specialty and experience diversity are defined respectively.FindingsThe analysis shows that users specialised in a given category can produce more helpful reviews in that category. The users with diverse historical experience, i.e. have posted reviews for many categories, also can produce helpful reviews. In addition, the experience diversity shows a positive moderation effect on the influence of experience specialty. Thus, users with diverse experience while specialized in a particular category are the source of most helpful reviews.Originality/valueWhile previous studies mostly consider the raw number of historical reviews as a reviewer's experience, we distinguish such experience by product category and focus on the width and depth of its distribution. The results not only shed lights on the mining of high-quality reviews and reviewers but also provide insights on the management of online review platforms and electronic marketing.

Saraite-Sariene, Laura; Galán-Valdivieso, Federico; Alonso-Cañadas, Juana; García-Tabuyo, Manuela

2022 Online Information Review

doi: 10.1108/oir-09-2020-0403

The role of female managers has been of increasing interest among scholars in recent years, especially regarding sustainability issues. The same could be said about the usefulness of social media in non-governmental organizations (NGOs) in demonstrating accountability to their stakeholders and attracting and keeping donors and volunteers. This paper aims to meet both research interests by analyzing to what extent women in top positions can foster stakeholders' engagement via social media.Design/methodology/approachOnline engagement can be proxied using data from social media to develop a measure that summarizes the main actions social media users are able to use in order to show their reactions to social media publications. Facebook data were obtained using proprietary software (Facebook data model) developed by the research team to carry out data massive extraction, processing and exploration.FindingsThe results of the multivariate analysis show that female leadership in both top and environmental-specific positions enhance social media engagement, while a higher percentage of women on the board of directors exert the opposite effect.Research limitations/implicationsThis study is not without limitations. First, this research is focused on a specific type of non-governmental organization (environmental NGO). Second, this study does not include economic variables such as donation income or expense structure. Third, data come only from Facebook as the leading social network.Originality/valueThis paper advances in the scarce knowledge about the role of women and the levels of online engagement (interactive conversations) in NGOs focused on sustainability.

Au, Cheuk Hang; Ho, Kevin K.W.

2022 Online Information Review

doi: 10.1108/oir-03-2021-0142

The impact of ideological polarization has been a serious concern, given its damages to society. In addition, Schadenfreude is increasingly common in the era of ideological polarization. Previous literature may have discussed the cause and outcomes of schadenfreude in general but not specifically related to ideological polarization. This study aims to serve to establish a more informed understanding of online schadenfreude as an outcome of ideological polarization and help society recover from the damages.Design/methodology/approachThe authors adopted a case research method with netnography for our study, given that the authors are exploring the phenomena of online schadenfreude, which involves multiple dimensions.FindingsThe authors identified a three-level model that illustrates how schadenfreude is driven as an outcome of ideological polarization, i.e. macro-environment, camp/partisan and target. These factors of different levels involve political viewpoint differences, perceived appearance, personal conduct, aggressive norms and polarized environment with a lack of conventional opinion expression channel. Moreover, attackers may demonstrate a belief in Karma, creativity and a sense of humor and may call for actions.Originality/valueWhile previous literature focused on the relationship between fake news, echo chambers and ideological polarization, this study is a relatively earlier one on studying schadenfreude as an outcome of ideological polarization, which would facilitate to formulate the solution to repair the damages created to ideological polarization. The authors also discussed the enablers as well as the self-reinforcing nature of ideological polarization, and provided some practical implications for politicians and government officials.

Ullah, Ahsan; Ameen, Kanwal

2022 Online Information Review

doi: 10.1108/oir-02-2021-0092

Statistical methods are important for meaningful analysis, critique and interpretation of results. The current study aims to investigate the use of statistical methods used in LIS research articles produced by Pakistani authors during 2001–2016.Design/methodology/approachContent analysis method with both the qualitative and quantitative components was used. LIS articles published by Pakistani authors in national and international journals from 2001 to 2016 were selected. The descriptive and inferential statistics were used to analyze the usage of statistical techniques.FindingsThe findings show that use of descriptive statistics remained higher as compared to inferential statistics in the LIS research produced by Pakistani authors. However, a visible growth trend in the use of inferential statistical techniques is found. Males are two times more likely to use inferential statistics as compared to female authors. Articles published in foreign journals and impact factor journals used more inferential statistics as compared to local and nonimpact factor journals. Parametric inferential statistics is more popular among Pakistani authors as compared to nonparametric. Faculty was more inclined toward using parametric statistic. The percentage of collaboration was higher in the papers using parametric statistics. Few articles reported the tests to fulfill the assumptions of parametric and nonparametric statistics.Originality/valueThis study can be used to better understand the trends of statistical techniques used in LIS research and authors' orientation in this regard. It will be helpful for future researchers in the selection of appropriate statistical techniques to be used.

Ölçer, Didem; Taşkaya Temizel, Tuğba

2022 Online Information Review

doi: 10.1108/oir-02-2021-0089

This paper proposes a framework that automatically assesses content coverage and information quality of health websites for end-users.Design/methodology/approachThe study investigates the impact of textual and content-based features in predicting the quality of health-related texts. Content-based features were acquired using an evidence-based practice guideline in diabetes. A set of textual features inspired by professional health literacy guidelines and the features commonly used for assessing information quality in other domains were also used. In this study, 60 websites about type 2 diabetes were methodically selected for inclusion. Two general practitioners used DISCERN to assess each website in terms of its content coverage and quality.FindingsThe proposed framework outputs were compared with the experts' evaluation scores. The best accuracy was obtained as 88 and 92% with textual features and content-based features for coverage assessment respectively. When both types of features were used, the proposed framework achieved 90% accuracy. For information quality assessment, the content-based features resulted in a higher accuracy of 92% against 88% obtained using the textual features.Research limitations/implicationsThe experiments were conducted for websites about type 2 diabetes. As the whole process is costly and requires extensive expert human labelling, the study was carried out in a single domain. However, the methodology is generalizable to other health domains for which evidence-based practice guidelines are available.Practical implicationsFinding high-quality online health information is becoming increasingly difficult due to the high volume of information generated by non-experts in the area. The search engines fail to rank objective health websites higher within the search results. The proposed framework can aid search engine and information platform developers to implement better retrieval techniques, in turn, facilitating end-users' access to high-quality health information.Social implicationsErroneous, biased or partial health information is a serious problem for end-users who need access to objective information on their health problems. Such information may cause patients to stop their treatments provided by professionals. It might also have adverse financial implications by causing unnecessary expenditures on ineffective treatments. The ability to access high-quality health information has a positive effect on the health of both individuals and the whole society.Originality/valueThe paper demonstrates that automatic assessment of health websites is a domain-specific problem, which cannot be addressed with the general information quality assessment methodologies in the literature. Content coverage of health websites has also been studied in the health domain for the first time in the literature.

Chang, Wen-Chun

2022 Online Information Review

doi: 10.1108/oir-09-2019-0290

This study examines the roles of the Internet and other types of media use in explaining the support for direct democracy and further investigates the mediation of political trust in the relationship between media use and the attitude toward direct democracy.Design/methodology/approachUsing data drawn from Taiwan Social Change Survey 2014 and the approach of structural equation model framework, this study identifies the indirect effects of the Internet and other types of media use on the attitude toward referendums.FindingsThe results of this study show that the frustration resulting from the process of representative politics dominated by political elites is associated with the support for direct democracy as an effective alternative to generate political influences in the formation of public policies.Originality/valueThe advances in the Internet and information technology have expanded the possible platforms of obtaining political information and enabled people to rapidly access political information at lower costs. It is expected that Internet use has altered the relationships among citizens, political parties and the government, potentially influencing citizens' political trust and their attitude toward direct democracy.

Abbas, Hafiz Syed Mohsin; Qaisar, Zahid Hussain; Xu, Xiaodong; Sun, Chunxia

2022 Online Information Review

doi: 10.1108/oir-02-2021-0069

E-government development (EGD) is vital in enhancing the institutional quality and sustainable public service (SPS) delivery by eradicating corruption and cybersecurity crimes.Design/methodology/approachThe present study applied econometric fixed-effect (FE) regression analysis and random forest (RF) algorithm through machine learning for comprehensive estimations in achieving SPS. This study gauges the nexus between the EGD as an independent variable and public service sustainability (PSS) as a proxy of public health services as a dependent variable in the presence of two moderators, corruption and cybersecurity indices from 47 Asian countries economies from 2015 to 2019.FindingsThe computational estimation and econometric findings show that EGD quality has improved with time in Asia and substantially promoted PSS. It further explores that exercising corruption control measures and introducing sound cybersecurity initiatives enhance PSS's quality and support the EDG effect much better.Practical implicationsThe study concludes that E-Government has positively impacted PSS (healthcare) in Asia while controlling cybersecurity and institutional malfunctioning made an E-Government system healthier and SPS development in Asia.Originality/valueThis study added a novel contribution to existing E-Government and public services literature by comprehensively applied FE regression and RF algorithm analysis. Moreover, E-Government and cybersecurity improvement also has taken under consideration for PSS in Asian economies.

Gu, Jiafeng

2022 Online Information Review

doi: 10.1108/oir-03-2021-0150

Although the use of online technology has generated excitement over its potential to increase access to education, most existing research has focused on comparing online and in-person student performance. This study provides empirical evidence that semiprivate space at the family level affects students' access to online education.Design/methodology/approachStudents from 1,565 low-income households in China were surveyed, and a multivariate logistic regression analysis was conducted on the hypothesized factors that affect access to online education at home.FindingsThe results show that the absence of computers, smartphones and broadband networks at home severely hinders children's access to online education, and even leads to their exclusion from it. Children with their fathers or paternal grandfathers as guardians have a lower probability of receiving online education at home. It was also found that the higher the education level of the head of the household, the more likely it is that children will receive online education at home.Originality/valueThis study is one of the first to examine online accessibility at the family level. It also demonstrates that the semiprivate space at the family level may limit opportunities for students who would otherwise pursue online education at home.

Wu, Tong; Reynolds, Jonathan; Wu, Jintao; Schlegelmilch, Bodo B.

2022 Online Information Review

doi: 10.1108/oir-09-2021-0484

This study aims to analyze the ways in which chief executive officers (CEOs) communicate via Twitter and help develop guidelines for effective tweeting strategies that can leverage Twitter in leadership communication.Design/methodology/approachThe authors conduct a large-scale content analysis of more than 65,000 tweets by 338 CEOs.FindingsThe authors propose a model that categorizes differences in CEO tweets along six independent dimensions: content professionalism, language professionalism, emotional valence, emotion activation, interactional efforts and information cues. The authors also develop coding schemes and measurement scales for each dimension.Originality/valueThis study provides a multi-dimensional paradigm as well as useful tools for future research on corporate leadership communication on social media.

Mohamad, Ummul Hanan; Ahmad, Mohammad Nazir; Zakaria, Ahmad Mujahid Ubaidillah

2022 Online Information Review

doi: 10.1108/oir-11-2020-0497

This systematic literature review (SLR) paper presents the overview and analysis of the existing ontologies application in the SE domain. It discusses the main challenges in terms of its ontologies development and highlights the key knowledge areas for subdomains in the SE domain that provides a direction to develop ontologies application for SE systematically. The SE is not as straightforward as the traditional economy. It transforms the existing economy ecosystem through peer-to-peer collaborations mediated by the technology. Hence, the complexity of the SE domain accentuates the need to make the SE domain knowledge more explicit.Design/methodology/approachFor the review, the authors only focus on the journal articles published from 2010 to 2020 and mentioned ontology as a solution to overcome the issues specific for the SE domain. The initial identification process produced 3,326 papers from 10 different databases.FindingsAfter applying the inclusion and exclusion criteria, a final set of 11 articles were then analyzed and classified. In SE, good ontology design and development is essential to manage digital platforms, deal with data heterogeneity and govern the interoperability of the SE systems. Yet the preference to build an application ontology, lack of perdurant design and minimal use of the existing standard for building SE common knowledge are deterring the ontology development in this domain. From this review, an anatomy of the SE key subdomain areas is visualized as a reference to further develop the domain ontology for the SE domain systematically.Originality/valueWith the arrival of the Fourth Industrial Revolution (4IR), the sharing economy (SE) has become one of the important domains whose impact has been explosive, and its domain knowledge is complex. Yet, a comprehensive overview and analysis of the ontology applications in the SE domain is not available or well presented to the research community.