• Do Social Media Users Consent to the Use of Their Social Media Data in Research?——Ethical Reflection Based on User Acceptance Intention

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] This study takes social media users as the research object, investigates their acceptance intention for their own social media data collected for research, explores the influence of familiarity, trust and altruism on acceptance intention, analyzes the necessity of informed consent procedure, and reminds scholars to conduct ethical reflection. It provides a reference for establishing ethical norms for social media data research and conducting ethical risk communication with users. [Method/process] The psychological mechanism model of users from informed to consent was established. A total of 320 valid questionnaires were collected from Sina Microblog by questionnaire survey method, and the model was verified. [Result/conclusion] This study verifies two effective psychological paths: familiarity-altruism-acceptance intention and familiarity-trust-altruism-acceptance intention. It is found that familiarity and altruism are important factors that affect user acceptance intention. Users have strong ethical needs, and informed consent procedure is necessary. Researchers can also actively express respect and recognition, and enhance users’ altruism and acceptance intention to avoid ethical risks in the research process.

  • Identifying and Analyzing Expertise Tags of Scholars Based on the Cited-Inverse Document Frequency in the Library and Information Science Field

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Identifying expertise tags helps to find scholars with the same or similar research capabilities, which is of great significance to support fine-grained scholar evaluation and analysis. [Method/process] In this research, we collected the keywords of academic papers to build an expertise seed dictionary, and used semantic similarity to expand and align the dictionary. Additionally, we combined the citations frequency, author contribution rate and inverse document frequency of expertise terms, and proposed cited-inverse document frequency based weight calculation method for expertise tag. Considering the weights of expertise tags, we could find the representative expertise tags of scholars, and carry out expert evaluation and analysis. [Result/conclusion] Experiment proves that the proposed scholar expertise identification method can objectively reflect the influence of scholar expertise, and provide a practical reference for fine-grained scholar evaluation, expert recommendation, and field hotspot analysis and other related fields.

  • Investigation and Enlightenment of the Status Quo of Online Education for Master of Library Science in iSchools Colleges in the United States

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] By analyzing the current situation of online education for master of library science in iSchools universities in the United States, this paper summarized the experience of online education for Master of Library Science in the United States, so as to provide reference for subsequent research.[Method/process] By investigating the official websites of 20 American iSchools colleges and universities, this paper analyzed and summarized their online education models in detail from the aspects of credit length, course quantity, course category and core course, etc., and drew some enlightenment for the construction and development of online education of library science in China.[Result/conclusion] Through investigations, it is found that the online education of iSchools library science related majors in the United States presents three characteristics:online education forms are flexible and diverse, and multiple measures are taken to ensure the quality of online teaching; the number of courses is large, the coverage is wide, and the curriculum system is complete; Online learning is basically the same as campus learning. Based on this, combined with the domestic reality, this paper puts forward that the construction of library science online education in China should pay attention to the development trend of international online education and reform the traditional education mode of library science; adopt various teaching methods to improve the online teaching quality of library science; take career development as the orientation, pay attention to personnel training individuation; realize the combination of library science tradition and online education.

  • The Construction and Analysis of Academic Query Intent Taxonomy: An Empirical Study of Baidu's Academic Search Query Log

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] During academic search, understanding, analyzing and identifying the information needs expressed by users is the first step to optimize query results and improve the user experience of academic search engines. In this paper, we called it the academic query intent, which refers to the user's ideographic information needs and potential information expressed through query. Summarizing the academic query intent taxonomy is helpful for the identification of academic query intent and the presentation of search result pages.[Method/process] Based on the A.Broder's taxonomy of query intent, this study combined with the Baidu's academic search query log to construct a taxonomy of query intent in academic search. On this basis, this paper identified the different academic query categories manually and analyzed the characteristics of query intent in different types of academic queries.[Result/conclusion] The user's academic query intentions are divided into five categories:academic literature, academic entities, academic exploration, knowledge quiz and non-academic literature. For different types of academic query intent, the study draw the approximate proportions and given the characteristics, scenarios and result pages of the query.