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Research shows, however, that reputation systems tend to create winner-takes-all dynamics, in which differences in candidates\u2019 reputations become disconnected from differences in their objective abilities. In this paper, we use an empirically validated agent-based computational model to investigate the extent to which reputation systems can create segmented hiring patterns that are biased toward freelancers with good reputation. We explore how jobs and earnings become distributed on a stylized platform, under different contextual conditions of information asymmetry. Our results suggest that information asymmetry influences the extent to which reputation systems may lead to inequality between freelancers, but contrary to our expectations, lower levels of information asymmetry can facilitate higher inequality in outcomes.<\/jats:p>","DOI":"10.1007\/s42001-020-00072-x","type":"journal-article","created":{"date-parts":[[2020,8,2]],"date-time":"2020-08-02T20:02:31Z","timestamp":1596398551000},"page":"207-229","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Reputation systems and recruitment in online labor markets: insights from an agent-based model"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1747-3168","authenticated-orcid":false,"given":"Martin","family":"Lukac","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2470-0071","authenticated-orcid":false,"given":"Andr\u00e9","family":"Grow","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,2]]},"reference":[{"issue":"37","key":"72_CR1","doi-asserted-by":"publisher","first-page":"9848","DOI":"10.1073\/pnas.1604234114","volume":"114","author":"B Abrahao","year":"2017","unstructured":"Abrahao, B., Parigi, P., Gupta, A., & Cook, K. 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Management Science, 58(5), 892\u2013912. https:\/\/doi.org\/10.1287\/mnsc.1110.1459.","journal-title":"Management Science"}],"container-title":["Journal of Computational Social Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42001-020-00072-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42001-020-00072-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42001-020-00072-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T23:15:00Z","timestamp":1627859700000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42001-020-00072-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,2]]},"references-count":59,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["72"],"URL":"https:\/\/doi.org\/10.1007\/s42001-020-00072-x","relation":{},"ISSN":["2432-2717","2432-2725"],"issn-type":[{"value":"2432-2717","type":"print"},{"value":"2432-2725","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,2]]},"assertion":[{"value":"9 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 August 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The empirical data that we used in this study are based on information from a popular online labor market platform, which is publicly available (i.e., the information is visible to all site visitors without the need to subscribe or log in to the platform). While conducting this study, we were careful to collect data in an ethical manner. First, we made sure to respect the platform\u2019s constraints as to which part of its webpage could be accessed by web crawlers (as defined in its robots.txt file). Second, to impose minimal load on the platform\u2019s servers during our crawls, we minimized our data collection whenever possible. Third, to ensure the privacy of the platforms\u2019 users, we did not collect any identifying information. Finally, to prevent biasing the competition between different platforms, we decided to not disclose the name of the platform from which we collected the data and to not make the dataset openly available. However, to ensure reproducibility and transparency, we are open to sharing the data for scientific purposes under controlled conditions with an accompanying letter from an academic institutional review board. For these purposes, please contact the corresponding author.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics and data availability"}},{"value":"We implemented the model in NetLogo 6.0.4 (Wilensky 1999) and analyzed the results in R 3.5.1 (R Core Team 2012) and RStudio 1.1.456 (RStudio Team 2015) using the dplyr (Wickham et al. 2018, version 0.7.8) and ggplot2 (Wickham 2016, version 3.1.0) packages. Code for replicating all the figures is available in GitHub online repository at .","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Software information"}},{"value":"On behalf of all authors, the corresponding author states that there is no conflict of interest.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}