Lily Sin Nga Cheung, Dickson K. W. Chiu, Kevin K. W. Ho
Purpose This pilot study aims to investigate how parents use electronic resources to encourage children’s reading and learning interests through the 5E instructional model. Moreover, this study explores the public’s current electronic reading (e-reading) preferences, parents’ teaching process and the effectiveness of electronic resources in encouraging children to read and learn. Design/methodology/approach This study used a quantitative research method with a 5- to 10-min online survey based on the 5E instructional model. A total of 101 respondents participated in the survey. Findings Technology has changed the public’s current e-reading preferences. More than 65% of parent respondents preferred to use the electronic reading format for their children’s teaching and learning. Parents generally agreed on the teaching and learning effectiveness of using electronic resources, especially for engaging their children. However, the parents showed no significant gender differences. Originality/value This pilot study is a new attempt to use the 5E instructional model to quantitatively analyse the parenting process of using electronic resources to encourage children to read and learn, especially in an Asian context.
{"title":"A quantitative study on utilizing electronic resources to engage children's reading and learning: parents' perspectives through the 5E instructional model","authors":"Lily Sin Nga Cheung, Dickson K. W. Chiu, Kevin K. W. Ho","doi":"10.1108/el-09-2021-0179","DOIUrl":"https://doi.org/10.1108/el-09-2021-0179","url":null,"abstract":"\u0000Purpose\u0000This pilot study aims to investigate how parents use electronic resources to encourage children’s reading and learning interests through the 5E instructional model. Moreover, this study explores the public’s current electronic reading (e-reading) preferences, parents’ teaching process and the effectiveness of electronic resources in encouraging children to read and learn.\u0000\u0000\u0000Design/methodology/approach\u0000This study used a quantitative research method with a 5- to 10-min online survey based on the 5E instructional model. A total of 101 respondents participated in the survey.\u0000\u0000\u0000Findings\u0000Technology has changed the public’s current e-reading preferences. More than 65% of parent respondents preferred to use the electronic reading format for their children’s teaching and learning. Parents generally agreed on the teaching and learning effectiveness of using electronic resources, especially for engaging their children. However, the parents showed no significant gender differences.\u0000\u0000\u0000Originality/value\u0000This pilot study is a new attempt to use the 5E instructional model to quantitatively analyse the parenting process of using electronic resources to encourage children to read and learn, especially in an Asian context.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116236657","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}
Purpose This study aims to understand the technical and operational challenges encountered by multilingual digital libraries and their strategies to solve problems in sustaining multilinguality services for digital libraries. Design/methodology/approach Using the multiple-case method, this study investigated two digital libraries that have sustained multilinguality for over a decade: the World Digital Library and the Digital Library of the Caribbean. Findings This study identified eight factors that contributed to the success of the two multilingual digital libraries and eight technical and operational challenges they have faced. A framework for digital libraries to sustain multilinguality is proposed. This framework illustrates the challenges and strategies to address the challenges in 11 aspects: creation, leadership, collaboration, content, metadata, translation, funding, technology, preservation, staffing and copyright. Research limitations/implications This study focused on two multilingual digital libraries administered in the USA, though they do not fully represent multilingual digital libraries in the USA. Therefore, the findings from the study may not apply to multilingual digital libraries the USA or other countries. As on-site interviews of both digital libraries were conducted at the beginning of 2019, the timeframe of this study is up to that date. Practical implications With more users worldwide seeking information online, more digital libraries will be providing multilingual services. This study provides guidelines to digital library developers and archivists for building and sustaining their digital libraries or archives. The experience and lessons learned from these two digital libraries may also help to better understand challenges and use effective strategies in building and sustaining multilinguality. Social implications The users and communities of digital libraries will be able to learn the benefits and challenges as related to building and sustaining digital library services. These services always need support to better serve their users and communities. Originality/value As the first multiple-case research that investigates in-depth challenges and approaches of digital libraries in sustaining multilinguality, this study presents a general picture of how the two digital libraries have succeeded in sustaining multilinguality. Theoretically, the study enriches the literature by providing a more comprehensive sustainability framework for multilinguality. This framework specifies possible aspects to consider for gaining sustainability of multilingual digital libraries and offers useful guidelines and insights for the digital library community to build multilingual services.
{"title":"Sustaining multilinguality: case studies of two multilingual digital libraries","authors":"Anping Wu, Jiangping Chen","doi":"10.1108/el-03-2022-0061","DOIUrl":"https://doi.org/10.1108/el-03-2022-0061","url":null,"abstract":"\u0000Purpose\u0000This study aims to understand the technical and operational challenges encountered by multilingual digital libraries and their strategies to solve problems in sustaining multilinguality services for digital libraries.\u0000\u0000\u0000Design/methodology/approach\u0000Using the multiple-case method, this study investigated two digital libraries that have sustained multilinguality for over a decade: the World Digital Library and the Digital Library of the Caribbean.\u0000\u0000\u0000Findings\u0000This study identified eight factors that contributed to the success of the two multilingual digital libraries and eight technical and operational challenges they have faced. A framework for digital libraries to sustain multilinguality is proposed. This framework illustrates the challenges and strategies to address the challenges in 11 aspects: creation, leadership, collaboration, content, metadata, translation, funding, technology, preservation, staffing and copyright.\u0000\u0000\u0000Research limitations/implications\u0000This study focused on two multilingual digital libraries administered in the USA, though they do not fully represent multilingual digital libraries in the USA. Therefore, the findings from the study may not apply to multilingual digital libraries the USA or other countries. As on-site interviews of both digital libraries were conducted at the beginning of 2019, the timeframe of this study is up to that date.\u0000\u0000\u0000Practical implications\u0000With more users worldwide seeking information online, more digital libraries will be providing multilingual services. This study provides guidelines to digital library developers and archivists for building and sustaining their digital libraries or archives. The experience and lessons learned from these two digital libraries may also help to better understand challenges and use effective strategies in building and sustaining multilinguality.\u0000\u0000\u0000Social implications\u0000The users and communities of digital libraries will be able to learn the benefits and challenges as related to building and sustaining digital library services. These services always need support to better serve their users and communities.\u0000\u0000\u0000Originality/value\u0000As the first multiple-case research that investigates in-depth challenges and approaches of digital libraries in sustaining multilinguality, this study presents a general picture of how the two digital libraries have succeeded in sustaining multilinguality. Theoretically, the study enriches the literature by providing a more comprehensive sustainability framework for multilinguality. This framework specifies possible aspects to consider for gaining sustainability of multilingual digital libraries and offers useful guidelines and insights for the digital library community to build multilingual services.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"52 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129382026","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}
Iris Xie, R. Babu, Shengang Wang, Hyun Seung Lee, Tae Hee Lee
Purpose This study aims to investigate the perceptional differences of key stakeholders in assessing the Digital Library Accessibility and Usability Guidelines (DLAUG), in which design information is created and organized by types of help-seeking situations, to support blind and visually impaired (BVI) users. The stakeholders consist of BVI users, digital library (DL) developers and scholars/experts. The focus is on the identification of types of situations in which BVI users and developers show significant perception differences of DLAUG’s relevance, clarity and usefulness than the other two groups, respectively, and the associated reasons. Design/methodology/approach An in-depth survey was conducted to examine the perceptions of 150 participants representing three groups of key DL stakeholders: BVI users, DL developers and scholars/experts. Both qualitative and quantitative analyses were applied. Findings The results show that BVI users and developers had significant perception differences of the relevance, clarity and usefulness of the DLAUG than the other two groups held on five situations, mainly because they played distinct roles in the development of DLs with differing goals and expectations for the DL design guidelines. Originality/value This is the first study that considers different DL stakeholders to assess DL guidelines to support BVI users.
{"title":"Assessment of digital library design guidelines to support blind and visually impaired users: a study of key stakeholders' perspectives","authors":"Iris Xie, R. Babu, Shengang Wang, Hyun Seung Lee, Tae Hee Lee","doi":"10.1108/el-05-2022-0126","DOIUrl":"https://doi.org/10.1108/el-05-2022-0126","url":null,"abstract":"\u0000Purpose\u0000This study aims to investigate the perceptional differences of key stakeholders in assessing the Digital Library Accessibility and Usability Guidelines (DLAUG), in which design information is created and organized by types of help-seeking situations, to support blind and visually impaired (BVI) users. The stakeholders consist of BVI users, digital library (DL) developers and scholars/experts. The focus is on the identification of types of situations in which BVI users and developers show significant perception differences of DLAUG’s relevance, clarity and usefulness than the other two groups, respectively, and the associated reasons.\u0000\u0000\u0000Design/methodology/approach\u0000An in-depth survey was conducted to examine the perceptions of 150 participants representing three groups of key DL stakeholders: BVI users, DL developers and scholars/experts. Both qualitative and quantitative analyses were applied.\u0000\u0000\u0000Findings\u0000The results show that BVI users and developers had significant perception differences of the relevance, clarity and usefulness of the DLAUG than the other two groups held on five situations, mainly because they played distinct roles in the development of DLs with differing goals and expectations for the DL design guidelines.\u0000\u0000\u0000Originality/value\u0000This is the first study that considers different DL stakeholders to assess DL guidelines to support BVI users.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132826791","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}
Purpose This paper aims to examine the determinants that drive digital library use by university students in Indonesia and Malaysia during COVID-19. A proposed model based on the unified theory of acceptance and use of technology model-2 was implemented. Design/methodology/approach A pilot study was conducted prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1,168 responses were analysed through partial least square structural equation modelling (PLS-SEM) and importance and performance analysis (IPMA). A t-test was also conducted to support the main findings. Findings Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of behavioural intention is habits. Digital library use is most significantly predicted by behavioural intention. Through IPMA, habits are reported to be the most important determinant for behavioural intention. Performance expectancy obtains the highest performance in the IPMA procedure. Behavioural intention and digital library use are significantly different based on the respondents’ location. Originality/value This study addresses the research gap (comparative studies between two countries) by evaluating digital library use among students in two universities in Indonesia and Malaysia during COVID-19. Findings could facilitate policymakers with insights into digital library use determinants and initiate effective and efficient policies to improve digital library use, especially during school closures due to certain situations or conditions.
{"title":"Student use of digital libraries during COVID-19: structural equation modelling in Indonesian and Malaysian contexts","authors":"Akhmad Habibi, M. Yaakob, M. Sofwan","doi":"10.1108/el-12-2021-0212","DOIUrl":"https://doi.org/10.1108/el-12-2021-0212","url":null,"abstract":"\u0000Purpose\u0000This paper aims to examine the determinants that drive digital library use by university students in Indonesia and Malaysia during COVID-19. A proposed model based on the unified theory of acceptance and use of technology model-2 was implemented.\u0000\u0000\u0000Design/methodology/approach\u0000A pilot study was conducted prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1,168 responses were analysed through partial least square structural equation modelling (PLS-SEM) and importance and performance analysis (IPMA). A t-test was also conducted to support the main findings.\u0000\u0000\u0000Findings\u0000Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of behavioural intention is habits. Digital library use is most significantly predicted by behavioural intention. Through IPMA, habits are reported to be the most important determinant for behavioural intention. Performance expectancy obtains the highest performance in the IPMA procedure. Behavioural intention and digital library use are significantly different based on the respondents’ location.\u0000\u0000\u0000Originality/value\u0000This study addresses the research gap (comparative studies between two countries) by evaluating digital library use among students in two universities in Indonesia and Malaysia during COVID-19. Findings could facilitate policymakers with insights into digital library use determinants and initiate effective and efficient policies to improve digital library use, especially during school closures due to certain situations or conditions.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126438514","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}
K. Moradi, A. Ghaebi, Masumeh Karbala Aghaei Kamran
Purpose This study aims to focus on the interpretation component of Peirce’s triadic model of sign to identify: the components affecting the interpretation of an object and the components affecting the meaning creation by people for use in ontologies. Ashura was selected because it is a historical event and a meaningful sign in Iranian religious culture. Design/methodology/approach This qualitative study was conducted in two steps. In the first step, the Instagram pages of five groups of people were chosen as the sample and examined using qualitative content analysis. In the second step, 18 creators of Ashura works were selected, their lived experience in creating these works was collected using in-depth semi-structured interviews and analysed through phenomenology method. Findings Based on the results, the concept is context-oriented; one cannot interpret the signs according to one’s personal preferences because the context, social rules and habits limit this interpretation. Accordingly, the use of reference systems and rules of logic, as well as artificial intelligence and computer science tools alone cannot help represent meaning in ontologies. Rather, individual characteristics, contexts, presuppositions and components existing in personal, social and technological worlds are effective on concept formation and meaning creation. Thus, these factors must be considered in ontology, especially for multi-faceted and context-oriented concepts, such as Ashura. Originality/value This research adopted a new approach and method to study ontology. This study focused on interpretation and adopted Peirce’s sign model for ontology design.
{"title":"Effective components on the process of concept and meaning creation and their application in ontologies: focusing on Peirce's triadic sign model","authors":"K. Moradi, A. Ghaebi, Masumeh Karbala Aghaei Kamran","doi":"10.1108/el-10-2021-0185","DOIUrl":"https://doi.org/10.1108/el-10-2021-0185","url":null,"abstract":"\u0000Purpose\u0000This study aims to focus on the interpretation component of Peirce’s triadic model of sign to identify: the components affecting the interpretation of an object and the components affecting the meaning creation by people for use in ontologies. Ashura was selected because it is a historical event and a meaningful sign in Iranian religious culture.\u0000\u0000\u0000Design/methodology/approach\u0000This qualitative study was conducted in two steps. In the first step, the Instagram pages of five groups of people were chosen as the sample and examined using qualitative content analysis. In the second step, 18 creators of Ashura works were selected, their lived experience in creating these works was collected using in-depth semi-structured interviews and analysed through phenomenology method.\u0000\u0000\u0000Findings\u0000Based on the results, the concept is context-oriented; one cannot interpret the signs according to one’s personal preferences because the context, social rules and habits limit this interpretation. Accordingly, the use of reference systems and rules of logic, as well as artificial intelligence and computer science tools alone cannot help represent meaning in ontologies. Rather, individual characteristics, contexts, presuppositions and components existing in personal, social and technological worlds are effective on concept formation and meaning creation. Thus, these factors must be considered in ontology, especially for multi-faceted and context-oriented concepts, such as Ashura.\u0000\u0000\u0000Originality/value\u0000This research adopted a new approach and method to study ontology. This study focused on interpretation and adopted Peirce’s sign model for ontology design.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124114611","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}
Svetlozar Nestorov, Dinko Bacic, N. Jukic, M. Malliaris
Purpose The purpose of this paper is to propose an extensible framework for extracting data set usage from research articles. Design/methodology/approach The framework uses a training set of manually labeled examples to identify word features surrounding data set usage references. Using the word features and general entity identifiers, candidate data sets are extracted and scored separately at the sentence and document levels. Finally, the extracted data set references can be verified by the authors using a web-based verification module. Findings This paper successfully addresses a significant gap in entity extraction literature by focusing on data set extraction. In the process, this paper: identified an entity-extraction scenario with specific characteristics that enable a multiphase approach, including a feasible author-verification step; defined the search space for word feature identification; defined scoring functions for sentences and documents; and designed a simple web-based author verification step. The framework is successfully tested on 178 articles authored by researchers from a large research organization. Originality/value Whereas previous approaches focused on completely automated large-scale entity recognition from text snippets, the proposed framework is designed for a longer, high-quality text, such as a research publication. The framework includes a verification module that enables the request validation of the discovered entities by the authors of the research publications. This module shares some similarities with general crowdsourcing approaches, but the target scenario increases the likelihood of meaningful author participation.
{"title":"Framework for entity extraction with verification: application to inference of data set usage in research publications","authors":"Svetlozar Nestorov, Dinko Bacic, N. Jukic, M. Malliaris","doi":"10.1108/el-03-2022-0071","DOIUrl":"https://doi.org/10.1108/el-03-2022-0071","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to propose an extensible framework for extracting data set usage from research articles.\u0000\u0000\u0000Design/methodology/approach\u0000The framework uses a training set of manually labeled examples to identify word features surrounding data set usage references. Using the word features and general entity identifiers, candidate data sets are extracted and scored separately at the sentence and document levels. Finally, the extracted data set references can be verified by the authors using a web-based verification module.\u0000\u0000\u0000Findings\u0000This paper successfully addresses a significant gap in entity extraction literature by focusing on data set extraction. In the process, this paper: identified an entity-extraction scenario with specific characteristics that enable a multiphase approach, including a feasible author-verification step; defined the search space for word feature identification; defined scoring functions for sentences and documents; and designed a simple web-based author verification step. The framework is successfully tested on 178 articles authored by researchers from a large research organization.\u0000\u0000\u0000Originality/value\u0000Whereas previous approaches focused on completely automated large-scale entity recognition from text snippets, the proposed framework is designed for a longer, high-quality text, such as a research publication. The framework includes a verification module that enables the request validation of the discovered entities by the authors of the research publications. This module shares some similarities with general crowdsourcing approaches, but the target scenario increases the likelihood of meaningful author participation.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444537","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}
Tingting Li, Ziming Zeng, Jingjing Sun, Shouqiang Sun
Purpose The deployment of vaccines is the primary task in curbing the COVID-19 pandemic. The purpose of this paper is to understand the public’s opinions on vaccines and then design effective interventions to promote vaccination coverage. Design/methodology/approach This paper proposes a research framework based on the spatiotemporal perspective to analyse the public opinion evolution towards COVID-19 vaccine in China. The framework first obtains data through crawler tools. Then, with the help of data mining technologies, such as emotion computing and topic extraction, the evolution characteristics of discussion volume, emotions and topics are explored from spatiotemporal perspectives. Findings In the temporal perspective, the public emotion declines in the later stage, but overall emotion performance is positive and stabilizing. This decline in emotion is mainly associated with ambiguous information about the COVID-19 vaccine. The research progress of vaccines and the schedule of vaccination have driven the evolution of public discussion topics. In the spatial perspective, the public emotion tends to be positive in 31 regions, whereas local emotion increases and decreases in different stages. The dissemination of distinctive information and the local epidemic prevention and control status may be potential drivers of topic evolution in local regions. Originality/value The analysis results of media information can assist decision-makers to accurately grasp the subjective thoughts and emotional expressions of the public in terms of spatiotemporal perspective and provide decision support for macro-control response strategies and risk communication.
{"title":"Using data mining technology to analyse the spatiotemporal public opinion of COVID-19 vaccine on social media","authors":"Tingting Li, Ziming Zeng, Jingjing Sun, Shouqiang Sun","doi":"10.1108/el-03-2022-0062","DOIUrl":"https://doi.org/10.1108/el-03-2022-0062","url":null,"abstract":"\u0000Purpose\u0000The deployment of vaccines is the primary task in curbing the COVID-19 pandemic. The purpose of this paper is to understand the public’s opinions on vaccines and then design effective interventions to promote vaccination coverage.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes a research framework based on the spatiotemporal perspective to analyse the public opinion evolution towards COVID-19 vaccine in China. The framework first obtains data through crawler tools. Then, with the help of data mining technologies, such as emotion computing and topic extraction, the evolution characteristics of discussion volume, emotions and topics are explored from spatiotemporal perspectives.\u0000\u0000\u0000Findings\u0000In the temporal perspective, the public emotion declines in the later stage, but overall emotion performance is positive and stabilizing. This decline in emotion is mainly associated with ambiguous information about the COVID-19 vaccine. The research progress of vaccines and the schedule of vaccination have driven the evolution of public discussion topics. In the spatial perspective, the public emotion tends to be positive in 31 regions, whereas local emotion increases and decreases in different stages. The dissemination of distinctive information and the local epidemic prevention and control status may be potential drivers of topic evolution in local regions.\u0000\u0000\u0000Originality/value\u0000The analysis results of media information can assist decision-makers to accurately grasp the subjective thoughts and emotional expressions of the public in terms of spatiotemporal perspective and provide decision support for macro-control response strategies and risk communication.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127019811","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}
Guanghui Ye, Ze Peng, Jinyu Wei, Lingzi Hong, Songye Li, Chuan Wu
Purpose A lot of people share their living or travelling experiences about cities by writing posts on social media. Such posts carry multi-dimensional information about the characteristics of cities from the public’s perspective. This paper aims at applying text mining technology to automatically extract city images, which are known as how observers perceive the status of the city, from these social media texts. Design/methodology/approach This paper proposes a data processing pipeline for automatic city image extraction and applies sentiment analysis, timing analysis and contrastive analysis in a case study on Wuhan, a central China megacity. Specifically, the city image constructed with social media text and the expected policy outcomes by the government are compared. Findings Results reveal gaps between the public’s impression and the strategic goals of the government in traffic and environment. Originality/value This study contributes a novel approach to assess government performance by complementary data from social media. This case study implies the value of social media-based city image in the identification of gaps for the optimization of government performance.
{"title":"Dynamic sentiment sensing of cities with social media data","authors":"Guanghui Ye, Ze Peng, Jinyu Wei, Lingzi Hong, Songye Li, Chuan Wu","doi":"10.1108/el-03-2022-0064","DOIUrl":"https://doi.org/10.1108/el-03-2022-0064","url":null,"abstract":"\u0000Purpose\u0000A lot of people share their living or travelling experiences about cities by writing posts on social media. Such posts carry multi-dimensional information about the characteristics of cities from the public’s perspective. This paper aims at applying text mining technology to automatically extract city images, which are known as how observers perceive the status of the city, from these social media texts.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes a data processing pipeline for automatic city image extraction and applies sentiment analysis, timing analysis and contrastive analysis in a case study on Wuhan, a central China megacity. Specifically, the city image constructed with social media text and the expected policy outcomes by the government are compared.\u0000\u0000\u0000Findings\u0000Results reveal gaps between the public’s impression and the strategic goals of the government in traffic and environment.\u0000\u0000\u0000Originality/value\u0000This study contributes a novel approach to assess government performance by complementary data from social media. This case study implies the value of social media-based city image in the identification of gaps for the optimization of government performance.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235540","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}
Purpose This paper aims to explore a model of digital language archiving based on a collaboration between under-resourced indigenous communities and an institutional library. The model’s effectiveness is assessed in creating resources and digital language archives to support speaker communities and language documentation programmes for endangered and lesser-known languages in India. Design/methodology/approach The model of SiDHELA, the first indigenous language archive developed in India at Sikkim University by the Centre for Endangered Languages in collaboration with the Central Library, is described. Findings This study finds that localised repositories developed in collaboration with institutional libraries work as a more effective and accessible resource centre for indigenous communities, rather than the centralised data stores that collate all language data, which is the dominant method of language documentation in the world. Social implications It is the authors’ belief that the active role of libraries in language documentation and preservation of indigenous knowledge will open future gateways for language revitalization for under-resourced languages of the world. Originality/value SiDHELA is a novel attempt at localised digital language archiving in collaboration with indigenous communities of Sikkim and the North Bengal region of India.
{"title":"A collaboratory model for creation of digital language archives in India","authors":"Karthick Narayanan R., Meiraba Takhellambam","doi":"10.1108/el-02-2022-0030","DOIUrl":"https://doi.org/10.1108/el-02-2022-0030","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore a model of digital language archiving based on a collaboration between under-resourced indigenous communities and an institutional library. The model’s effectiveness is assessed in creating resources and digital language archives to support speaker communities and language documentation programmes for endangered and lesser-known languages in India.\u0000\u0000\u0000Design/methodology/approach\u0000The model of SiDHELA, the first indigenous language archive developed in India at Sikkim University by the Centre for Endangered Languages in collaboration with the Central Library, is described.\u0000\u0000\u0000Findings\u0000This study finds that localised repositories developed in collaboration with institutional libraries work as a more effective and accessible resource centre for indigenous communities, rather than the centralised data stores that collate all language data, which is the dominant method of language documentation in the world.\u0000\u0000\u0000Social implications\u0000It is the authors’ belief that the active role of libraries in language documentation and preservation of indigenous knowledge will open future gateways for language revitalization for under-resourced languages of the world.\u0000\u0000\u0000Originality/value\u0000SiDHELA is a novel attempt at localised digital language archiving in collaboration with indigenous communities of Sikkim and the North Bengal region of India.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130141497","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}
Purpose While the obstacles of archiving endangered languages are significant, the question of which platform is best for building a digital language archive is constantly present. The purpose of this study is to evaluate and analyse digital language archives development platforms, such as content management systems (CMSs), digital repositories and archival collections management systems (ACMSs) using parameters that have been specified. The authors selected Mukurtu CMS, which is based on Drupal CMS; DSpace as the digital repository software; and ArchivesSpace as an ACMS in this study. Design/methodology/approach The current research is supported by a study of the literature and a detailed exploration of different systems used to develop digital language archives. The whole research is carried out in three steps: literature searching; identification of relevant literature; and parameter identification, exploration of tools and data reporting and analysis. Findings Following the technical and feature analysis of these tools, it can be concluded that they are more or less comparable, as well as constantly evolving, updating and having a bigger community base. It may be determined that DSpace is the most popular platform, but the other two, particularly ArchivesSpaces, are fierce competitors. Research limitations/implications This study outlines the technical prerequisites for creating a digital language archive, which will be useful to IT personnel working on these projects. The research is also useful for tool developers as it allows them to incorporate missing functionality and technical standards by comparing them to alternatives. The parameters established in this study can be used for similar studies in other domains, as well as for evaluating existing digital language archives. Practical implications The findings of this study have broad practical implications, and they can assist archivists, linguists, language communities and library and information science professionals in choosing an appropriate platform for building a digital language archive. Originality/value This study finds that there is relatively little effort made towards reviewing digital language archiving and the systems that are used to do it; thus, this study is carried out to assess and analyse digital language archive creation systems based on defined parameters. The parameters were discovered through a combination of the available literature and tool discovery. Using a parametric approach to evaluate tools yields unique insights and quickly reveals system flaws.
{"title":"Evaluation and analysis of digital language archives development platforms: a parametric approach","authors":"Sneha Bharti, Ranjeet Kumar Singh","doi":"10.1108/el-01-2022-0011","DOIUrl":"https://doi.org/10.1108/el-01-2022-0011","url":null,"abstract":"\u0000Purpose\u0000While the obstacles of archiving endangered languages are significant, the question of which platform is best for building a digital language archive is constantly present. The purpose of this study is to evaluate and analyse digital language archives development platforms, such as content management systems (CMSs), digital repositories and archival collections management systems (ACMSs) using parameters that have been specified. The authors selected Mukurtu CMS, which is based on Drupal CMS; DSpace as the digital repository software; and ArchivesSpace as an ACMS in this study.\u0000\u0000\u0000Design/methodology/approach\u0000The current research is supported by a study of the literature and a detailed exploration of different systems used to develop digital language archives. The whole research is carried out in three steps: literature searching; identification of relevant literature; and parameter identification, exploration of tools and data reporting and analysis.\u0000\u0000\u0000Findings\u0000Following the technical and feature analysis of these tools, it can be concluded that they are more or less comparable, as well as constantly evolving, updating and having a bigger community base. It may be determined that DSpace is the most popular platform, but the other two, particularly ArchivesSpaces, are fierce competitors.\u0000\u0000\u0000Research limitations/implications\u0000This study outlines the technical prerequisites for creating a digital language archive, which will be useful to IT personnel working on these projects. The research is also useful for tool developers as it allows them to incorporate missing functionality and technical standards by comparing them to alternatives. The parameters established in this study can be used for similar studies in other domains, as well as for evaluating existing digital language archives.\u0000\u0000\u0000Practical implications\u0000The findings of this study have broad practical implications, and they can assist archivists, linguists, language communities and library and information science professionals in choosing an appropriate platform for building a digital language archive.\u0000\u0000\u0000Originality/value\u0000This study finds that there is relatively little effort made towards reviewing digital language archiving and the systems that are used to do it; thus, this study is carried out to assess and analyse digital language archive creation systems based on defined parameters. The parameters were discovered through a combination of the available literature and tool discovery. Using a parametric approach to evaluate tools yields unique insights and quickly reveals system flaws.\u0000","PeriodicalId":330882,"journal":{"name":"Electron. Libr.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133163320","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}
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