{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T19:04:31Z","timestamp":1770491071831,"version":"3.49.0"},"reference-count":74,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T00:00:00Z","timestamp":1635811200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AJIM"],"published-print":{"date-parts":[[2022,9,5]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>In the era of big data, people are more likely to pay attention to privacy protection with facing the risk of personal information leakage while enjoying the convenience brought by big data technology. Furthermore, people\u2019s views on personal information leakage and privacy protection are varied, playing an important role in the legal process of personal information protection. Therefore, this paper aims to propose a semi-qualitative method based framework to reveal the subjective patterns about information leakage and privacy protection and further provide\u00a0 practical implications for interested party.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Q method is a semi-qualitative methodology which is designed for identifying typologies of perspectives. In order to have a comprehensive understanding of users\u2019 viewpoints, this study incorporates LDA &amp; TextRank method and other information extraction technologies to capture the statements from large-scale literature, app reviews, typical cases and survey interviews, which could be regarded as the resource of the viewpoints.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>By adopting the Q method that aims for studying subjective thought patterns to identify users\u2019 potential views, the authors have identified three categories of stakeholders\u2019 subjectivities: macro-policy sensitive, trade-offs and personal information sensitive, each of which perceives different risk and affordance of information leakage and importance and urgency of privacy protection. All of the subjectivities of the respondents reflect the awareness of the issue of information leakage, that is, the interested parties like social network sites are unable to protect their full personal information, while reflecting varied resistance and susceptibility of disclosing personal information for big data technology applications.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The findings of this study provide an overview of the subjective patterns on the information leakage issue. Being the first to incorporate the Q method to study the views of personal information leakage and privacy protection, the research not only broadens the application field of the Q\u00a0method but also enriches the research methods for personal information protection. Besides, the proposed LDA &amp; TextRank method in this paper alleviates the limitation of statements resource in the Q method.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-05-2021-0144","type":"journal-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T06:53:45Z","timestamp":1635576825000},"page":"901-927","source":"Crossref","is-referenced-by-count":18,"title":["View analysis of personal information leakage and privacy protection in big data era\u2014based on Q method"],"prefix":"10.1108","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2458-5149","authenticated-orcid":false,"given":"Lei","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1167-3983","authenticated-orcid":false,"given":"Jingyi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3347-837X","authenticated-orcid":false,"given":"Jiecong","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7489-4439","authenticated-orcid":false,"given":"Shengli","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2021,11,2]]},"reference":[{"issue":"2","key":"key2022092114501341100_ref001","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1080\/08911762.2017.1412552","article-title":"Users' information privacy concerns and privacy protection behaviors in social networks","volume":"31","year":"2018","journal-title":"Journal of Global Marketing"},{"issue":"6","key":"key2022092114501341100_ref002","article-title":"Big data adoption: state of the art and research challenges","volume":"56","year":"2019","journal-title":"Information Processing and Management"},{"issue":"3","key":"key2022092114501341100_ref003","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1002\/hec.2914","article-title":"Q-ing for health\u2014a new approach to eliciting the public's views on health care resource allocation","volume":"23","year":"2014","journal-title":"Health Economics"},{"key":"key2022092114501341100_ref004","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","year":"2003","journal-title":"Journal of Machine Learning Research"},{"issue":"4","key":"key2022092114501341100_ref005","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1177\/104973239600600408","article-title":"Q methodology and qualitative research","volume":"6","year":"1996","journal-title":"Qualitative Health Research"},{"key":"key2022092114501341100_ref006","article-title":"You are what you like! 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