{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T16:00:54Z","timestamp":1783958454155,"version":"3.55.0"},"reference-count":34,"publisher":"American Accounting Association","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n               <jats:p>This paper presents the employee ratings and reviews data from Glassdoor and the R codes used to collect, clean, and organize the data. We collect three types of information for each Glassdoor review: review metrics, content, and reviewer information. We also calculate some commonly used textual metrics, such as sentiment, readability, the number of uncertainty words, etc. The datasets include necessary identifiers that can connect to other financial data sources. All the variables and metrics are provided at the review level, which enables researchers to aggregate the data from different levels and angles. As a demonstrative example, we use a simple word list to measure how often employees mention COVID-19 in review comments. The R codes provided as an RStudio project are self-contained and can also be modified and applied to other data sources of interest.<\/jats:p>","DOI":"10.2308\/isys-2023-003","type":"journal-article","created":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T19:02:02Z","timestamp":1723230122000},"page":"93-105","source":"Crossref","is-referenced-by-count":5,"title":["Employee Ratings and Reviews Data from Glassdoor"],"prefix":"10.2308","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9024-3732","authenticated-orcid":false,"given":"Mi","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5243-5810","authenticated-orcid":false,"given":"Yaxuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1734-6967","authenticated-orcid":false,"given":"Zhilei","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowen","family":"Shi","sequence":"additional","affiliation":[{"name":"Central University of Finance and Economics"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1112","published-online":{"date-parts":[[2024,10,7]]},"reference":[{"issue":"2","key":"2024110107522869500_B1","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1111\/1475-679X.12072","article-title":"The structure of voluntary disclosure narratives: Evidence from tone dispersion","volume":"53","author":"Allee,","year":"2015","journal-title":"Journal of Accounting Research"},{"issue":"7","key":"2024110107522869500_B2","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1287\/mnsc.2015.2226","article-title":"Do nonexecutive employees have valuable information? Evidence from employee stock purchase plans","volume":"62","author":"Babenko,","year":"2016","journal-title":"Management Science"},{"key":"2024110107522869500_B3","unstructured":"Bright Data. 2024. How the world collects public web data. https:\/\/brightdata.com\/"},{"key":"2024110107522869500_B4","unstructured":"Brownlee,\n              J.\n            \n          \n          2019. A gentle introduction to the bag-of-words model. https:\/\/machinelearningmastery.com\/gentle-introduction-bag-words-model\/"},{"key":"2024110107522869500_B5","doi-asserted-by":"crossref","unstructured":"Chemmanur,\n              T. J.\n            , H.Rajaiya, and J.Sheng. 2020. How does online employee ratings affect external firm financing? Evidence from Glassdoor. (Working paper). https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=3507695","DOI":"10.2139\/ssrn.3507695"},{"issue":"3","key":"2024110107522869500_B6","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1057\/s41299-019-00075-z","article-title":"Why spelling errors matter: Online company reviews and organizational attraction","volume":"23","author":"Cooper,","year":"2020","journal-title":"Corporate Reputation Review"},{"issue":"2","key":"2024110107522869500_B7","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1111\/1475-679X.12469","article-title":"Financial reporting and employee job search","volume":"61","author":"deHaan,","year":"2023","journal-title":"Journal of Accounting Research"},{"issue":"5","key":"2024110107522869500_B8","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.1111\/1475-679X.12393","article-title":"The disciplinary effect of social media: Evidence from firms\u2019 responses to Glassdoor reviews","volume":"59","author":"Dube,","year":"2021","journal-title":"Journal of Accounting Research"},{"key":"2024110107522869500_B9","unstructured":"Glassdoor. 2022. Making worklife better. https:\/\/www.glassdoor.com\/about\/"},{"key":"2024110107522869500_B10","unstructured":"Glassdoor. 2024. How to Use Glassdoor to search for a job. https:\/\/www.glassdoor.com\/blog\/guide\/how-to-use-glassdoor\/"},{"issue":"1","key":"2024110107522869500_B11","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.jfineco.2019.03.012","article-title":"Crowdsourced employer reviews and stock returns","volume":"134","author":"Green,","year":"2019","journal-title":"Journal of Financial Economics"},{"key":"2024110107522869500_B12","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.aos.2018.04.004","article-title":"A new era of voluntary disclosure? 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