{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:36:37Z","timestamp":1742938597474,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030575236"},{"type":"electronic","value":"9783030575243"}],"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\/978-3-030-57524-3_21","type":"book-chapter","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T23:04:13Z","timestamp":1598396653000},"page":"252-260","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Aggregating News Reporting Sentiment by Means of Hesitant Linguistic Terms"],"prefix":"10.1007","author":[{"given":"Jennifer","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert","family":"Armisen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"N\u00faria","family":"Agell","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ngel","family":"Saz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,26]]},"reference":[{"key":"21_CR1","unstructured":"Cain-Arzu, D.L.: Sensationalism in newspapers: a look at the reporter Andamandala in Belize 2010\u20132014 (2016)"},{"issue":"2","key":"21_CR2","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1007\/s12650-014-0246-x","volume":"18","author":"N Cao","year":"2015","unstructured":"Cao, N., Lu, L., Lin, Y.R., Wang, F., Wen, Z.: SocialHelix: visual analysis of sentiment divergence in social media. J. vis. 18(2), 221\u2013235 (2015)","journal-title":"J. vis."},{"key":"21_CR3","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1016\/j.bdr.2016.05.001","volume":"4","author":"F Corea","year":"2016","unstructured":"Corea, F.: Can Twitter proxy the investors\u2019 sentiment? The case for the technology sector. Big Data Res. 4, 70\u201374 (2016)","journal-title":"Big Data Res."},{"issue":"3","key":"21_CR4","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1080\/00050060903127499","volume":"44","author":"L Ducat","year":"2009","unstructured":"Ducat, L., Thomas, S., Blood, W.: Sensationalising sex offenders and sexual recidivism: impact of the serious sex offender monitoring act 2005 on media reportage. Aust. Psychol. 44(3), 156\u2013165 (2009)","journal-title":"Aust. Psychol."},{"key":"21_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/978-3-319-96133-0_8","volume-title":"Machine Learning and Data Mining in Pattern Recognition","author":"D Galla","year":"2018","unstructured":"Galla, D., Burke, J.: Predicting social unrest using GDELT. In: Perner, P. (ed.) MLDM 2018. LNCS (LNAI), vol. 10935, pp. 103\u2013116. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-96133-0_8"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Giachanou, A., Crestani, F.: Tracking sentiment by time series analysis. In: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 1037\u20131040 (2016)","DOI":"10.1145\/2911451.2914702"},{"issue":"3","key":"21_CR7","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1207\/s15506878jobem4903_2","volume":"49","author":"P Hendriks Vettehen","year":"2005","unstructured":"Hendriks Vettehen, P., Nuijten, K., Beentjes, J.: News in an age of competition: the case of sensationalism in Dutch television news, 1995\u20132001. J. Broadcast. Electron. Media 49(3), 282\u2013295 (2005)","journal-title":"J. Broadcast. Electron. Media"},{"issue":"2","key":"21_CR8","first-page":"80","volume":"18","author":"SHD Kolagani","year":"2017","unstructured":"Kolagani, S.H.D., Negahban, A., Witt, C.: Identifying trending sentiments in the 2016 us presidential election: a case study of Twitter analytics. Issues Inf. Syst. 18(2), 80\u201386 (2017)","journal-title":"Issues Inf. Syst."},{"key":"21_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/978-3-319-13734-6_22","volume-title":"Social Informatics","author":"H Kwak","year":"2014","unstructured":"Kwak, H., An, J.: A first look at global news coverage of disasters by using the GDELT dataset. In: Aiello, L.M., McFarland, D. (eds.) SocInfo 2014. LNCS, vol. 8851, pp. 300\u2013308. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-13734-6_22"},{"key":"21_CR10","unstructured":"Leetaru, K., Schrodt, P.A.: GDELT: global data on events, location, and tone, 1979\u20132012. In: ISA Annual Convention, vol. 2, pp. 1\u201349. Citeseer (2013)"},{"issue":"2","key":"21_CR11","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1086\/267990","volume":"36","author":"ME McCombs","year":"1972","unstructured":"McCombs, M.E., Shaw, D.L.: The agenda-setting function of mass media. Public Opin. Q. 36(2), 176\u2013187 (1972)","journal-title":"Public Opin. Q."},{"key":"21_CR12","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1007\/978-3-319-45656-0_5","volume-title":"Modeling Decisions for Artificial Intelligence","author":"J Montserrat-Adell","year":"2016","unstructured":"Montserrat-Adell, J., Agell, N., S\u00e1nchez, M., Ruiz, F.J.: A representative in group decision by means of the extended set of hesitant fuzzy linguistic term sets. In: Torra, V., Narukawa, Y., Navarro-Arribas, G., Ya\u00f1ez, C. (eds.) Modeling Decisions for Artificial Intelligence, pp. 56\u201367. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45656-0_5"},{"key":"21_CR13","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.jal.2016.11.005","volume":"23","author":"J Montserrat-Adell","year":"2017","unstructured":"Montserrat-Adell, J., Agell, N., S\u00e1nchez, M., Prats, F., Ruiz, F.J.: Modeling group assessments by means of hesitant fuzzy linguistic term sets. J. Appl. Logic 23, 40\u201350 (2017)","journal-title":"J. Appl. Logic"},{"key":"21_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.inffus.2017.09.004","volume":"42","author":"J Montserrat-Adell","year":"2018","unstructured":"Montserrat-Adell, J., Agell, N., S\u00e1nchez, M., Ruiz, F.J.: Consensus, dissension and precision in group decision making by means of an algebraic extension of hesitant fuzzy linguistic term sets. Inf. Fusion 42, 1\u201311 (2018)","journal-title":"Inf. Fusion"},{"key":"21_CR15","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1086\/297807","volume":"61","author":"DC Mutz","year":"1997","unstructured":"Mutz, D.C., Soss, J.: Reading public opinion: the influence of news coverage on perceptions of public sentiment. Public Opin. Q. 61, 431\u2013451 (1997)","journal-title":"Public Opin. Q."},{"issue":"2","key":"21_CR16","first-page":"143","volume":"3","author":"R Prabowo","year":"2009","unstructured":"Prabowo, R., Thelwall, M.: Sentiment analysis: a combined approach. J. Inf. 3(2), 143\u2013157 (2009)","journal-title":"J. Inf."},{"issue":"1","key":"21_CR17","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1109\/TFUZZ.2011.2170076","volume":"20","author":"RM Rodriguez","year":"2011","unstructured":"Rodriguez, R.M., Martinez, L., Herrera, F.: Hesitant fuzzy linguistic term sets for decision making. IEEE Trans. Fuzzy Syst. 20(1), 109\u2013119 (2011)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"6","key":"21_CR18","first-page":"282","volume":"2","author":"G Vinodhini","year":"2012","unstructured":"Vinodhini, G., Chandrasekaran, R.: Sentiment analysis and opinion mining: a survey. Int. J. 2(6), 282\u2013292 (2012)","journal-title":"Int. J."},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Yaqub, U., Chun, S.A., Atluri, V., Vaidya, J.: Sentiment based analysis of tweets during the us presidential elections. In: Proceedings of the 18th Annual International Conference on Digital Government Research, pp. 1\u201310 (2017)","DOI":"10.1145\/3085228.3085285"},{"key":"21_CR20","unstructured":"Yonamine, J.E.: A nuanced study of political conflict using the global datasets of events location and tone (GDELT) dataset (2013)"}],"container-title":["Lecture Notes in Computer Science","Modeling Decisions for Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-57524-3_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T03:46:28Z","timestamp":1619235988000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-57524-3_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030575236","9783030575243"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57524-3_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"26 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MDAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Modeling Decisions for Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sant Cugat","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"2 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mdai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mdai.cat\/mdai2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"-","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"46","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":"24","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":"52% - 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":"3","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":"2.76","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":"Yes","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 was canceled 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)"}}]}}