{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T01:58:09Z","timestamp":1783562289024,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T00:00:00Z","timestamp":1531958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100006602","name":"Air Force Research Laboratory","doi-asserted-by":"publisher","award":["FA8750- 12-2-0328"],"award-info":[{"award-number":["FA8750- 12-2-0328"]}],"id":[{"id":"10.13039\/100006602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS- 1421759, CNS-1618207, CNS-1703592"],"award-info":[{"award-number":["IIS- 1421759, CNS-1618207, CNS-1703592"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,19]]},"DOI":"10.1145\/3219819.3219884","type":"proceedings-article","created":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T13:05:12Z","timestamp":1532005512000},"page":"158-167","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Assessing Candidate Preference through Web Browsing History"],"prefix":"10.1145","author":[{"given":"Giovanni","family":"Comarela","sequence":"first","affiliation":[{"name":"Federal University of Vi\u00e7osa, Vi\u00e7osa, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramakrishnan","family":"Durairajan","sequence":"additional","affiliation":[{"name":"University of Oregon, Eugene, OR, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul","family":"Barford","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison & comScore, Inc., Madison, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dino","family":"Christenson","sequence":"additional","affiliation":[{"name":"Boston University, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Crovella","sequence":"additional","affiliation":[{"name":"Boston University, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Overton","author":"Scott Armstrong J.","year":"1977","unstructured":"J. Scott Armstrong and Terry S . Overton . 1977 . Estimating nonresponse bias in mail surveys. Journal of marketing research (1977), 396--402. J. Scott Armstrong and Terry S. Overton. 1977. Estimating nonresponse bias in mail surveys. Journal of marketing research (1977), 396--402."},{"key":"e_1_3_2_1_2_1","volume-title":"Adamic","author":"Bakshy Eytan","year":"2015","unstructured":"Eytan Bakshy , Solomon Messing , and Lada A . Adamic . 2015 . Exposure to ideologically diverse news and opinion on Facebook. Science Vol . 348, 6239 (2015), 1130--1132. Eytan Bakshy, Solomon Messing, and Lada A. Adamic. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science Vol. 348, 6239 (2015), 1130--1132."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-polisci-101513-113724"},{"key":"e_1_3_2_1_4_1","volume-title":"What is wrong with social theory? American sociological review","author":"Blumer Herbert","year":"1954","unstructured":"Herbert Blumer . 1954. What is wrong with social theory? American sociological review Vol. 19 , 1 ( 1954 ), 3--10. Herbert Blumer. 1954. What is wrong with social theory? American sociological review Vol. 19, 1 (1954), 3--10."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1049096516002766"},{"key":"e_1_3_2_1_6_1","volume-title":"Blei","author":"Chang Jonathan","year":"2009","unstructured":"Jonathan Chang , Sean Gerrish , Chong Wang , Jordan L. Boyd-Graber , and David M . Blei . 2009 . Reading tea leaves: How humans interpret topic models Advances in neural information processing systems. 288--296. Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-Graber, and David M. Blei. 2009. Reading tea leaves: How humans interpret topic models Advances in neural information processing systems. 288--296."},{"key":"e_1_3_2_1_7_1","unstructured":"Raviv Cohen and Derek Ruths. 2013. Classifying political orientation on Twitter: It's not easy! ICWSM.  Raviv Cohen and Derek Ruths. 2013. Classifying political orientation on Twitter: It's not easy! ICWSM."},{"key":"e_1_3_2_1_8_1","unstructured":"comScore Inc.. 2018. Panelist Privacy Statement. http:\/\/www.comscore.com\/About-comScore\/Privacy.  comScore Inc.. 2018. Panelist Privacy Statement. http:\/\/www.comscore.com\/About-comScore\/Privacy."},{"key":"e_1_3_2_1_9_1","volume-title":"Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on. IEEE, 192--199","author":"Conover Michael D","year":"2011","unstructured":"Michael D Conover , Bruno Gonccalves , Jacob Ratkiewicz , Alessandro Flammini , and Filippo Menczer . 2011 . Predicting the political alignment of twitter users Privacy, Security , Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on. IEEE, 192--199 . Michael D Conover, Bruno Gonccalves, Jacob Ratkiewicz, Alessandro Flammini, and Filippo Menczer. 2011. Predicting the political alignment of twitter users Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on. IEEE, 192--199."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/poq\/51.4_PART_2.S12"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1460-2466.2006.00336.x"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133147"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence.","author":"Avello Daniel Gayo","year":"2011","unstructured":"Daniel Gayo Avello , Panagiotis T. Metaxas , and Eni Mustafaraj . 2011 . Limits of electoral predictions using twitter . In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence. Daniel Gayo Avello, Panagiotis T. Metaxas, and Eni Mustafaraj. 2011. Limits of electoral predictions using twitter. In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1561\/100.00015031"},{"key":"e_1_3_2_1_15_1","volume-title":"The captive public: How mass opinion promotes state power","author":"Ginsberg Benjamin","unstructured":"Benjamin Ginsberg . 1986. The captive public: How mass opinion promotes state power . New York : Basic Books . Benjamin Ginsberg. 1986. The captive public: How mass opinion promotes state power. New York: Basic Books."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.socnet.2013.07.004"},{"key":"e_1_3_2_1_17_1","volume-title":"The 2016 presidential campaign - A news event that's hard to miss","author":"Gottfried Jeffrey","year":"2016","unstructured":"Jeffrey Gottfried , Michael Barthel , Elisa Shearer , and Amy Mitchell . 2016. The 2016 presidential campaign - A news event that's hard to miss . Pew Research Center Vol . 4 ( 2016 ). Jeffrey Gottfried, Michael Barthel, Elisa Shearer, and Amy Mitchell. 2016. The 2016 presidential campaign - A news event that's hard to miss. Pew Research Center Vol. 4 (2016)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781444316568.wiem02057"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1049096514001784"},{"key":"e_1_3_2_1_20_1","volume-title":"Stewart","author":"Grimmer Justin","year":"2013","unstructured":"Justin Grimmer and Brandon M . Stewart . 2013 . Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political analysis Vol. 21 , 3 (2013), 267--297. Justin Grimmer and Brandon M. Stewart. 2013. Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political analysis Vol. 21, 3 (2013), 267--297."},{"key":"e_1_3_2_1_21_1","volume-title":"Survey methodology","author":"Groves Robert M.","unstructured":"Robert M. Groves , Floyd J. Fowler Jr ., Mick P. Couper , James M. Lepkowski , Eleanor Singer , and Roger Tourangeau . 2011. Survey methodology . Vol. Vol. 561 . John Wiley & Sons . Robert M. Groves, Floyd J. Fowler Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangeau. 2011. Survey methodology. Vol. Vol. 561. John Wiley & Sons."},{"key":"e_1_3_2_1_22_1","volume-title":"Numbered voices: How opinion polling has shaped American politics","author":"Herbst Susan","unstructured":"Susan Herbst . 1993. Numbered voices: How opinion polling has shaped American politics . University of Chicago Press. Susan Herbst. 1993. Numbered voices: How opinion polling has shaped American politics. University of Chicago Press."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0003055414000306"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/pan\/mpq035","article-title":"Estimation of heterogeneous treatment effects from randomized experiments, with application to the optimal planning of the get-out-the-vote campaign","volume":"19","author":"Imai Kosuke","year":"2010","unstructured":"Kosuke Imai and Aaron Strauss . 2010 . Estimation of heterogeneous treatment effects from randomized experiments, with application to the optimal planning of the get-out-the-vote campaign . Political Analysis Vol. 19 , 1 (2010), 1 -- 19 . Kosuke Imai and Aaron Strauss. 2010. Estimation of heterogeneous treatment effects from randomized experiments, with application to the optimal planning of the get-out-the-vote campaign. Political Analysis Vol. 19, 1 (2010), 1--19.","journal-title":"Political Analysis"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1177\/0894439311404119"},{"key":"e_1_3_2_1_26_1","unstructured":"Aaron Kaufman. 2018. Estimating the Partisan Bias of Survey Questions. (2018). Working paper.  Aaron Kaufman. 2018. Estimating the Partisan Bias of Survey Questions. (2018). Working paper."},{"key":"e_1_3_2_1_27_1","unstructured":"Aaron Kaufman Peter Kraft and Maya Sen. 2018. Improving Supreme Court Forecasting Using Boosted Decision Trees. (2018).  Aaron Kaufman Peter Kraft and Maya Sen. 2018. Improving Supreme Court Forecasting Using Boosted Decision Trees. (2018)."},{"key":"e_1_3_2_1_28_1","volume-title":"Evans Wittand Christopher Wlezien","author":"Kennedy Courtney","year":"2018","unstructured":"Courtney Kennedy , Mark Blumenthal , Scott Clement , Joshua D. Clinton , Claire Durand , Charles Franklin , Kyley McGeeney , Lee Miringoff , Kristen Olson , Douglas Rivers , Lydia Saad , and G. Evans Wittand Christopher Wlezien . 2018 . An Evaluation of the 2016 Election Polls in the United States. Public Opinion Quarterly (February 3, 2018). Courtney Kennedy, Mark Blumenthal, Scott Clement, Joshua D. Clinton, Claire Durand, Charles Franklin, Kyley McGeeney, Lee Miringoff, Kristen Olson, Douglas Rivers, Lydia Saad, and G. Evans Wittand Christopher Wlezien. 2018. An Evaluation of the 2016 Election Polls in the United States. Public Opinion Quarterly (February 3, 2018)."},{"key":"e_1_3_2_1_29_1","volume-title":"Improving election prediction internationally. Science","author":"Kennedy Ryan","year":"2017","unstructured":"Ryan Kennedy , Stefan Wojcik , and David Lazer . 2017. Improving election prediction internationally. Science Vol. 355 , 6324 ( 2017 ), 515--520. Ryan Kennedy, Stefan Wojcik, and David Lazer. 2017. Improving election prediction internationally. Science Vol. 355, 6324 (2017), 515--520."},{"key":"e_1_3_2_1_30_1","unstructured":"Valdimar Orlando Key. 1961. Public opinion and American democracy. (1961).  Valdimar Orlando Key. 1961. Public opinion and American democracy. (1961)."},{"key":"e_1_3_2_1_31_1","unstructured":"L Kish. 1965. Survey Sampling. Wiley New York.  L Kish. 1965. Survey Sampling. Wiley New York."},{"key":"e_1_3_2_1_32_1","volume-title":"Public misunderstanding of political facts: How question wording affected estimates of partisan differences in birtherism. Public opinion quarterly","author":"Krosnick Jon A.","year":"2014","unstructured":"Jon A. Krosnick , Neil Malhotra , and Urja Mittal . 2014. Public misunderstanding of political facts: How question wording affected estimates of partisan differences in birtherism. Public opinion quarterly Vol. 78 , 1 ( 2014 ), 147--165. Jon A. Krosnick, Neil Malhotra, and Urja Mittal. 2014. Public misunderstanding of political facts: How question wording affected estimates of partisan differences in birtherism. Public opinion quarterly Vol. 78, 1 (2014), 147--165."},{"key":"e_1_3_2_1_33_1","volume-title":"Learning about individuals from group statistics. CoRR","author":"K\u00fcck Hendrik","year":"2012","unstructured":"Hendrik K\u00fcck and Nando de Freitas . 2012. Learning about individuals from group statistics. CoRR Vol. abs\/ 1207 .1393 ( 2012 ). Hendrik K\u00fcck and Nando de Freitas. 2012. Learning about individuals from group statistics. CoRR Vol. abs\/1207.1393 (2012)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025543"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-856X.2005.00178.x"},{"key":"e_1_3_2_1_36_1","volume-title":"Sampling: Design and Analysis. Number v. 1 in Sampling: Design and Analysis","author":"Lohr S","year":"1999","unstructured":"S Lohr . 1999 . Sampling: Design and Analysis. Number v. 1 in Sampling: Design and Analysis . Duxbury Press . showLCCN98044566 S Lohr. 1999. Sampling: Design and Analysis. Number v. 1 in Sampling: Design and Analysis. Duxbury Press. showLCCN98044566"},{"key":"e_1_3_2_1_37_1","volume-title":"Montgomery and Santiago Olivella","author":"Jacob","year":"2016","unstructured":"Jacob M. Montgomery and Santiago Olivella . 2016 . Tree-based models for political science data. American Journal of Political Science ( 2016). Jacob M. Montgomery and Santiago Olivella. 2016. Tree-based models for political science data. American Journal of Political Science (2016)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1609\/icwsm.v4i1.14031","article-title":"From tweets to polls: Linking text sentiment to public opinion time series","volume":"11","author":"O'Connor Brendan","year":"2010","unstructured":"Brendan O'Connor , Ramnath Balasubramanyan , Bryan R. Routledge , Noah A. Smith , 2010 . From tweets to polls: Linking text sentiment to public opinion time series . Icwsm Vol. 11 , 122 -- 129 (2010), 1--2. Brendan O'Connor, Ramnath Balasubramanyan, Bryan R. Routledge, Noah A. Smith, et al.. 2010. From tweets to polls: Linking text sentiment to public opinion time series. Icwsm Vol. 11, 122--129 (2010), 1--2.","journal-title":"Icwsm"},{"key":"e_1_3_2_1_39_1","volume-title":"International Conference on Neural Information Processing Systems.","author":"Patrini Giorgio","year":"2014","unstructured":"Giorgio Patrini , Richard Nock , Paul Rivera , and Tiberio Caetano . 2014 . (Almost) No Label No Cry . In International Conference on Neural Information Processing Systems. Giorgio Patrini, Richard Nock, Paul Rivera, and Tiberio Caetano. 2014. (Almost) No Label No Cry. In International Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_40_1","first-page":"281","article-title":"A Machine Learning Approach to Twitter User Classification","volume":"11","author":"Pennacchiotti Marco","year":"2011","unstructured":"Marco Pennacchiotti and Ana-Maria Popescu . 2011 . A Machine Learning Approach to Twitter User Classification . Icwsm Vol. 11 , 1 (2011), 281 -- 288 . Marco Pennacchiotti and Ana-Maria Popescu. 2011. A Machine Learning Approach to Twitter User Classification. Icwsm Vol. 11, 1 (2011), 281--288.","journal-title":"Icwsm"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1037\/0021-9010.88.5.879"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390254"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-5907.2009.00427.x"},{"key":"e_1_3_2_1_44_1","unstructured":"Nate Silver. 2016. The Comey letter probably cost Clinton the election. https:\/\/fivethirtyeight.com\/features\/the-comey-letter-probably-cost-clinton-the-election\/.  Nate Silver. 2016. The Comey letter probably cost Clinton the election. https:\/\/fivethirtyeight.com\/features\/the-comey-letter-probably-cost-clinton-the-election\/."},{"key":"e_1_3_2_1_45_1","volume-title":"Theriault","author":"Sniderman Paul M.","year":"2004","unstructured":"Paul M. Sniderman and Sean M . Theriault . 2004 . The structure of political argument and the logic of issue framing. Studies in public opinion: Attitudes , nonattitudes, measurement error, and change (2004), 133--65. Paul M. Sniderman and Sean M. Theriault. 2004. The structure of political argument and the logic of issue framing. Studies in public opinion: Attitudes, nonattitudes, measurement error, and change (2004), 133--65."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-012-0079-3"},{"key":"e_1_3_2_1_47_1","volume-title":"Sensitive questions in surveys. Psychological bulletin","author":"Tourangeau Roger","year":"2007","unstructured":"Roger Tourangeau and Ting Yan . 2007. Sensitive questions in surveys. Psychological bulletin Vol. 133 , 5 ( 2007 ), 859. Roger Tourangeau and Ting Yan. 2007. Sensitive questions in surveys. Psychological bulletin Vol. 133, 5 (2007), 859."},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media.","author":"Tumasjan Andranik","unstructured":"Andranik Tumasjan , Timm Oliver Sprenger , Philipp G. Sandner , and Isabell M. Welpe . 2010. Predicting elections with twitter: What 140 characters reveal about political sentiment . In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media. Andranik Tumasjan, Timm Oliver Sprenger, Philipp G. Sandner, and Isabell M. Welpe. 2010. Predicting elections with twitter: What 140 characters reveal about political sentiment. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media."},{"key":"e_1_3_2_1_49_1","volume-title":"The framing of decisions and the psychology of choice. Science","author":"Tversky Amos","year":"1981","unstructured":"Amos Tversky and Daniel Kahneman . 1981. The framing of decisions and the psychology of choice. Science Vol. 211 , 4481 ( 1981 ), 453--458. Amos Tversky and Daniel Kahneman. 1981. The framing of decisions and the psychology of choice. Science Vol. 211, 4481 (1981), 453--458."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.2307\/2082793"},{"key":"e_1_3_2_1_51_1","volume-title":"The total survey error approach: A guide to the new science of survey research","author":"Weisberg Herbert F.","unstructured":"Herbert F. Weisberg . 2009. The total survey error approach: A guide to the new science of survey research . University of Chicago Press. Herbert F. Weisberg. 2009. The total survey error approach: A guide to the new science of survey research. University of Chicago Press."},{"key":"e_1_3_2_1_52_1","volume-title":"International Conference on Machine Learning.","author":"Yu Felix X.","year":"2013","unstructured":"Felix X. Yu , Dong Liu , Sanjiv Kumar , Tony Jebara , and Shih-Fu Chang . 2013 . \u221eSVM for Learning with Label Proportions . In International Conference on Machine Learning. Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, and Shih-Fu Chang. 2013. \u221eSVM for Learning with Label Proportions. In International Conference on Machine Learning."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10683-009-9230-z"}],"event":{"name":"KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"London United Kingdom","acronym":"KDD '18","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3219884","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3219884","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3219884","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:20Z","timestamp":1750212440000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3219884"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,19]]},"references-count":53,"alternative-id":["10.1145\/3219819.3219884","10.1145\/3219819"],"URL":"https:\/\/doi.org\/10.1145\/3219819.3219884","relation":{},"subject":[],"published":{"date-parts":[[2018,7,19]]},"assertion":[{"value":"2018-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}