{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T11:07:38Z","timestamp":1743851258399,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030659646"},{"type":"electronic","value":"9783030659653"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-65965-3_6","type":"book-chapter","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T19:48:52Z","timestamp":1612208932000},"page":"75-91","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org"],"prefix":"10.1007","author":[{"given":"Soumajyoti","family":"Sarkar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamidreza","family":"Alvari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,2]]},"reference":[{"issue":"2","key":"6_CR1","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1162\/rest.90.2.347","volume":"90","author":"L Alfaro","year":"2008","unstructured":"Alfaro, L., Kalemli-Ozcan, S., Volosovych, V.: Why doesn\u2019t capital flow from rich to poor countries? An empirical investigation. Rev. Econ. Stat. 90(2), 347\u2013368 (2008)","journal-title":"Rev. Econ. Stat."},{"issue":"5","key":"6_CR2","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1257\/aer.p20171042","volume":"107","author":"S Athey","year":"2017","unstructured":"Athey, S., Imbens, G., Pham, T., Wager, S.: Estimating average treatment effects: supplementary analyses and remaining challenges. Am. Econ. Rev. 107(5), 278\u201381 (2017)","journal-title":"Am. Econ. Rev."},{"key":"6_CR3","unstructured":"Athey, S., Imbens, G.W., Wager, S., et al.: Efficient inference of average treatment effects in high dimensions via approximate residual balancing. Technical report (2016)"},{"issue":"1","key":"6_CR4","first-page":"22","volume":"7","author":"A Banerjee","year":"2015","unstructured":"Banerjee, A., Duflo, E., Glennerster, R., Kinnan, C.: The miracle of microfinance? Evidence from a randomized evaluation. Am. Econ. J.: Appl. Econ. 7(1), 22\u201353 (2015)","journal-title":"Am. Econ. J.: Appl. Econ."},{"key":"6_CR5","unstructured":"World bank data. World Bank (2013)"},{"issue":"3","key":"6_CR6","doi-asserted-by":"publisher","first-page":"773","DOI":"10.25300\/MISQ\/2014\/38.3.07","volume":"38","author":"G Burtch","year":"2014","unstructured":"Burtch, G., Ghose, A., Wattal, S.: Cultural differences and geography as determinants of online prosocial lending. MIS Q. 38(3), 773\u2013794 (2014)","journal-title":"MIS Q."},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Calders, T., Karim, A., Kamiran, F., Ali, W., Zhang, X.: Controlling attribute effect in linear regression. In: 2013 IEEE 13th International Conference on Data Mining, pp. 71\u201380. IEEE (2013)","DOI":"10.1109\/ICDM.2013.114"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Choo, J., Lee, C., Lee, D., Zha, H., Park, H.: Understanding and promoting micro-finance activities in kiva.org. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining, pp. 583\u2013592 (2014)","DOI":"10.1145\/2556195.2556253"},{"issue":"1","key":"6_CR9","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1198\/jcgs.2010.08162","volume":"20","author":"JL Hill","year":"2011","unstructured":"Hill, J.L.: Bayesian nonparametric modeling for causal inference. J. Comput. Graph. Stat. 20(1), 217\u2013240 (2011)","journal-title":"J. Comput. Graph. Stat."},{"issue":"2","key":"6_CR10","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1214\/009053604000001147","volume":"33","author":"H Ishwaran","year":"2005","unstructured":"Ishwaran, H., Rao, J.S., et al.: Spike and slab variable selection: frequentist and Bayesian strategies. Ann. Stat. 33(2), 730\u2013773 (2005)","journal-title":"Ann. Stat."},{"issue":"4","key":"6_CR11","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1214\/07-STS227","volume":"22","author":"JD Kang","year":"2007","unstructured":"Kang, J.D., Schafer, J.L., et al.: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data. Stat. Sci. 22(4), 523\u2013539 (2007)","journal-title":"Stat. Sci."},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Lee, E.L., et al.: Fairness-aware loan recommendation for microfinance services. In: Proceedings of the 2014 International Conference on Social Computing, pp. 1\u20134 (2014)","DOI":"10.1145\/2639968.2640064"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Li, Y., Ning, Y., Liu, R., Wu, Y., Hui Wang, W.: Fairness of classification using users\u2019 social relationships in online peer-to-peer lending. In: Companion Proceedings of the Web Conference 2020, pp. 733\u2013742 (2020)","DOI":"10.1145\/3366424.3383557"},{"issue":"1","key":"6_CR14","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1287\/mnsc.1120.1560","volume":"59","author":"M Lin","year":"2013","unstructured":"Lin, M., Prabhala, N.R., Viswanathan, S.: Judging borrowers by the company they keep: friendship networks and information asymmetry in online peer-to-peer lending. Manag. Sci. 59(1), 17\u201335 (2013)","journal-title":"Manag. Sci."},{"issue":"19","key":"6_CR15","doi-asserted-by":"publisher","first-page":"2937","DOI":"10.1002\/sim.1903","volume":"23","author":"JK Lunceford","year":"2004","unstructured":"Lunceford, J.K., Davidian, M.: Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Stat. Med. 23(19), 2937\u20132960 (2004)","journal-title":"Stat. Med."},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Ly, P., Mason, G.: Individual preferences over NGO projects: evidence from microlending on kiva. Available at SSRN 1652269 (2010)","DOI":"10.2139\/ssrn.1652269"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Mayer, T., Zignago, S.: Notes on CEPII\u2019s distances measures: the GeoDist database (2011)","DOI":"10.2139\/ssrn.1994531"},{"issue":"2","key":"6_CR18","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1111\/coep.12252","volume":"36","author":"A Nowak","year":"2018","unstructured":"Nowak, A., Ross, A., Yencha, C.: Small business borrowing and peer-to-peer lending: evidence from lending club. Contemp. Econ. Policy 36(2), 318\u2013336 (2018)","journal-title":"Contemp. Econ. Policy"},{"issue":"1","key":"6_CR19","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1214\/09-BA403","volume":"4","author":"RB O\u2019Hara","year":"2009","unstructured":"O\u2019Hara, R.B., Sillanp\u00e4\u00e4, M.J., et al.: A review of Bayesian variable selection methods: what, how and which. Bayesian Anal. 4(1), 85\u2013117 (2009)","journal-title":"Bayesian Anal."},{"key":"6_CR20","unstructured":"Pham, T.T., Shen, Y.: A deep causal inference approach to measuring the effects of forming group loans in online non-profit microfinance platform. arXiv preprint arXiv:1706.02795 (2017)"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Rakesh, V., Lee, W.C., Reddy, C.K.: Probabilistic group recommendation model for crowdfunding domains. In: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, pp. 257\u2013266 (2016)","DOI":"10.1145\/2835776.2835793"},{"key":"6_CR22","unstructured":"Robins, J.M.: Robust estimation in sequentially ignorable missing data and causal inference models. In: Proceedings of the American Statistical Association, Indianapolis, IN, vol. 1999, pp. 6\u201310 (2000)"},{"issue":"3","key":"6_CR23","doi-asserted-by":"publisher","first-page":"e0193007","DOI":"10.1371\/journal.pone.0193007","volume":"13","author":"P Singh","year":"2018","unstructured":"Singh, P., et al.: Peer-to-peer lending and bias in crowd decision-making. PLoS ONE 13(3), e0193007 (2018)","journal-title":"PLoS ONE"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Zhao, H., Liu, Q., Wang, G., Ge, Y., Chen, E.: Portfolio selections in P2P lending: a multi-objective perspective. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2075\u20132084 (2016)","DOI":"10.1145\/2939672.2939861"}],"container-title":["Communications in Computer and Information Science","ECML PKDD 2020 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65965-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T11:37:18Z","timestamp":1619264238000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-65965-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030659646","9783030659653"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65965-3_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ghent","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Belgium","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecmlpkdd2020.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"945","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"195","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4,5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4,4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference took place virtually due to the COVID-19 pandemic","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}