{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:51:46Z","timestamp":1771699906167,"version":"3.50.1"},"reference-count":21,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2013,8,28]]},"abstract":"<jats:p>Social media nowcasting--using online user activity to describe real-world phenomena--is an active area of research to supplement more traditional and costly data collection methods such as phone surveys. Given the potential impact of such research, we would expect general-purpose nowcasting systems to quickly become a standard tool among noncomputer scientists, yet it has largely remained a research topic. We believe a major obstacle to widespread adoption is the nowcasting feature selection problem. Typical nowcasting systems require the user to choose a handful of social media objects from a pool of billions of potential candidates, which can be a time-consuming and error-prone process.<\/jats:p>\n          <jats:p>We have built RINGTAIL, a nowcasting system that helps the user by automatically suggesting high-quality signals. We demonstrate that RINGTALL can make nowcasting easier by suggesting relevant features for a range of topics. The user provides just a short topic query (e.g., unemployment) and a small conventional dataset in order for RINGTALL to quickly return a usable predictive nowcasting model.<\/jats:p>","DOI":"10.14778\/2536274.2536315","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T12:17:57Z","timestamp":1403612277000},"page":"1358-1361","source":"Crossref","is-referenced-by-count":5,"title":["Ringtail"],"prefix":"10.14778","volume":"6","author":[{"given":"Dolan","family":"Antenucci","sequence":"first","affiliation":[{"name":"University of Michigan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erdong","family":"Li","sequence":"additional","affiliation":[{"name":"University of Michigan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaobo","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Michigan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bochun","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Michigan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael J.","family":"Cafarella","sequence":"additional","affiliation":[{"name":"University of Michigan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"R\u00e9","sequence":"additional","affiliation":[{"name":"Univ. of Wisconsin, Madison"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2013,8]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Alexa Web Information Service.  Alexa Web Information Service."},{"key":"e_1_2_1_2_1","unstructured":"Box Office Mojo Weekly Box Office Index.  Box Office Mojo Weekly Box Office Index."},{"key":"e_1_2_1_3_1","unstructured":"CDC Influenza Surveillance Data via Google.  CDC Influenza Surveillance Data via Google."},{"key":"e_1_2_1_4_1","unstructured":"Mortgage Bankers Association's Weekly App. Survey.  Mortgage Bankers Association's Weekly App. Survey."},{"key":"e_1_2_1_5_1","unstructured":"US Department of Labor - Unemployment Insurance Weekly Claims Data.  US Department of Labor - Unemployment Insurance Weekly Claims Data."},{"key":"e_1_2_1_6_1","unstructured":"US Energy Information Administration - Weekly Retail Gasoline and Diesel Prices.  US Energy Information Administration - Weekly Retail Gasoline and Diesel Prices."},{"key":"e_1_2_1_7_1","unstructured":"Creating Measures of Labor Market Flows using Social Media. 2012 NBER Summer Institute.  Creating Measures of Labor Market Flows using Social Media. 2012 NBER Summer Institute."},{"key":"e_1_2_1_8_1","volume-title":"CIDR","author":"Anderson M.","year":"2013"},{"key":"e_1_2_1_9_1","volume-title":"WebDB","author":"Antenucci D.","year":"2013"},{"key":"e_1_2_1_10_1","volume-title":"Forschungsinstitut zur Zunkuft der Arbeit","author":"Askitas N.","year":"2011"},{"key":"e_1_2_1_11_1","volume-title":"Forschungsinstitut zur Zunkuft der Arbeit","author":"Askitas N.","year":"2011"},{"issue":"1","key":"e_1_2_1_12_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"Bollen J.","year":"2011","journal-title":"Journal of Computational Science"},{"key":"e_1_2_1_13_1","volume-title":"Nature","author":"Ginsberg J.","year":"2009"},{"key":"e_1_2_1_14_1","volume-title":"Proceedings of the National Academy of Sciences","author":"Goel S.","year":"2010"},{"key":"e_1_2_1_15_1","volume-title":"The Age of Turbulence","author":"Greenspan A.","year":"2007"},{"key":"e_1_2_1_16_1","first-page":"1157","article-title":"An Introduction to Variable and Feature Selection","volume":"3","author":"Guyon I.","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_1_17_1","first-page":"2013","article-title":"Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System","author":"Konda P.","year":"2013","journal-title":"VLDB Demo"},{"key":"e_1_2_1_18_1","first-page":"693","volume-title":"NIPS","author":"Recht B.","year":"2011"},{"key":"e_1_2_1_19_1","volume-title":"Handbook of Economic Indicators","author":"Rogers M. R.","year":"1998","edition":"2"},{"key":"e_1_2_1_20_1","volume-title":"UC Berkeley School of Information","author":"Scott S.","year":"2012"},{"key":"e_1_2_1_21_1","volume-title":"June","author":"US Department of Labor","year":"2012"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/2536274.2536315","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T10:51:13Z","timestamp":1672224673000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/2536274.2536315"}},"subtitle":["a generalized nowcasting system"],"short-title":[],"issued":{"date-parts":[[2013,8]]},"references-count":21,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2013,8,28]]}},"alternative-id":["10.14778\/2536274.2536315"],"URL":"https:\/\/doi.org\/10.14778\/2536274.2536315","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2013,8]]}}}