{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T13:33:44Z","timestamp":1751376824061,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,9,8]],"date-time":"2018-09-08T00:00:00Z","timestamp":1536364800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,9,8]]},"DOI":"10.1145\/3277104.3277105","type":"proceedings-article","created":{"date-parts":[[2018,11,27]],"date-time":"2018-11-27T13:19:22Z","timestamp":1543324762000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Less is More"],"prefix":"10.1145","author":[{"given":"Sultanah M.","family":"Alshammari","sequence":"first","affiliation":[{"name":"King Abdulaziz University, Computer Science Dept., Jeddah, Saudi Arabia and University of North Texas, Dept. of Computer Science and Engineering, Denton, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rodney D.","family":"Nielsen","sequence":"additional","affiliation":[{"name":"University of North Texas, Dept. of Computer Science and Engineering, Denton, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,9,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOMW.2011.5928903"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the conference on empirical methods in natural language processing. Association for Computational Linguistics, 1568--1576","author":"Aramaki Eiji","year":"2011","unstructured":"Aramaki , Eiji and Maskawa , Sachiko and Morita , Mizuki . 2011 . Twitter catches the flu: detecting influenza epidemics using Twitter . Proceedings of the conference on empirical methods in natural language processing. Association for Computational Linguistics, 1568--1576 . Aramaki, Eiji and Maskawa, Sachiko and Morita, Mizuki. 2011. Twitter catches the flu: detecting influenza epidemics using Twitter. Proceedings of the conference on empirical methods in natural language processing. Association for Computational Linguistics, 1568--1576."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_3_2_1_4_1","first-page":"e14118","article-title":"Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS one","volume":"5","author":"Chew Cynthia","year":"2010","unstructured":"Chew , Cynthia and Eysenbach , Gunther . 2010 . Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS one . Public Library of Science , 5 , 11(2010), e14118 . Chew, Cynthia and Eysenbach, Gunther.2010. Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS one. Public Library of Science, 5, 11(2010), e14118.","journal-title":"Public Library of Science"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 2009 International Conference on Bioinformatics and Computational Biology (BIOCOMP09)","author":"Corley Courtney","year":"2009","unstructured":"Corley , Courtney and Mikler , Armin R and Singh , Karan P and Cook , Diane J . 2009 . Monitoring Influenza Trends through Mining Social Media . In Proceedings of the 2009 International Conference on Bioinformatics and Computational Biology (BIOCOMP09) . 340--346. Corley, Courtney and Mikler, Armin R and Singh, Karan P and Cook, Diane J. 2009. Monitoring Influenza Trends through Mining Social Media. In Proceedings of the 2009 International Conference on Bioinformatics and Computational Biology (BIOCOMP09). 340--346."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964874"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature07634"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(17)33293-2"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/645326.649721"},{"key":"e_1_3_2_1_11_1","volume-title":"German Stata Users' Group Meetings","author":"Daniel","year":"2017","unstructured":"Daniel Klein et al. 2017. Assessing inter-rater agreement in Stata . German Stata Users' Group Meetings 2017 . Stata Users Group. Daniel Klein et al. 2017. Assessing inter-rater agreement in Stata. German Stata Users' Group Meetings 2017. Stata Users Group."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of Health Web-Science Workshop, ACM Web Science Conference. ACM.","author":"Krieck Manuela","year":"2011","unstructured":"Krieck , Manuela and Dreesman , Johannes and Otrusina , Lubomir and Denecke , Kerstin . 2011 . A new age of public health: Identifying disease outbreaks by analyzing tweets . In Proceedings of Health Web-Science Workshop, ACM Web Science Conference. ACM. Krieck, Manuela and Dreesman, Johannes and Otrusina, Lubomir and Denecke, Kerstin. 2011. A new age of public health: Identifying disease outbreaks by analyzing tweets. In Proceedings of Health Web-Science Workshop, ACM Web Science Conference. ACM."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772751"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487709"},{"volume-title":"Twitter improves influenza forecasting. PLoS currents 6(2014)","author":"Paul Michael J","key":"e_1_3_2_1_15_1","unstructured":"Paul , Michael J and Dredze , Mark and Broniatowski , David . 2014. Twitter improves influenza forecasting. PLoS currents 6(2014) . Public Library of Science . Paul, Michael J and Dredze, Mark and Broniatowski, David. 2014. Twitter improves influenza forecasting. PLoS currents 6(2014). Public Library of Science."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.3156"}],"event":{"name":"ICCBD '18: 2018 International Conference on Computing and Big Data","acronym":"ICCBD '18","location":"Charleston SC USA"},"container-title":["Proceedings of the 2018 International Conference on Computing and Big Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3277104.3277105","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3277104.3277105","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:41Z","timestamp":1750208261000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3277104.3277105"}},"subtitle":["With a 280-character limit, Twitter Provides a Valuable Source for Detecting Self-reported Flu Cases"],"short-title":[],"issued":{"date-parts":[[2018,9,8]]},"references-count":16,"alternative-id":["10.1145\/3277104.3277105","10.1145\/3277104"],"URL":"https:\/\/doi.org\/10.1145\/3277104.3277105","relation":{},"subject":[],"published":{"date-parts":[[2018,9,8]]},"assertion":[{"value":"2018-09-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}