{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:34:45Z","timestamp":1742916885386,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030983048"},{"type":"electronic","value":"9783030983055"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-98305-5_4","type":"book-chapter","created":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T08:05:37Z","timestamp":1647504337000},"page":"37-45","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Fakepedia Corpus: A Flexible Fake News Corpus in Portuguese"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4886-5949","authenticated-orcid":false,"given":"Anderson Cordeiro","family":"Charles","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5000-2280","authenticated-orcid":false,"given":"Livia","family":"Ruback","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2495-1463","authenticated-orcid":false,"given":"Jonice","family":"Oliveira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,16]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/pra2.2015.145052010082","volume":"52","author":"NJ Conroy","year":"2015","unstructured":"Conroy, N.J., Rubin, V.L., Chen, Y.: Automatic deception detection: methods for finding fake news. Proc. Assoc. Inf. Sci. Technol. 52, 1\u20134 (2015)","journal-title":"Proc. Assoc. Inf. Sci. Technol."},{"key":"4_CR2","unstructured":"Charles, A.C., de Oliveira Sampaio, J.: Checking fake news on web browsers: an approach using collaborative datasets. In: Workshop on Big Social Data and Urban Computing (2018)"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Cordeiro, A., de Oliveira Sampaio, J., Ruback, L.: FakeSpread: Um framework para an\u00e1lise de propaga\u00e7\u00e3o de fake news NA Web. In: Anais do XI Workshop sobre Aspectos da Intera\u00e7\u00e3o Humano-Computador Para a Web Social, pp. 9\u201316 (2020)","DOI":"10.5753\/waihcws.2020.12342"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Ferreira, W., Vlachos, A.: Emergent: a novel data-set for stance classification. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human language technologies (2016)","DOI":"10.18653\/v1\/N16-1138"},{"issue":"3","key":"4_CR5","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s10506-013-9140-4","volume":"21","author":"T Fornaciari","year":"2013","unstructured":"Fornaciari, T., Poesio, M.: Automatic deception detection in Italian court cases. Artif. Intel. Law 21(3), 303\u2013340 (2013)","journal-title":"Artif. Intel. Law"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9, 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"4_CR7","unstructured":"Isaac, M., Roose K.: Disinformation Spreads on WhatsApp Ahead of Brazilian Election, vol. 19. New York Times (2018)"},{"key":"4_CR8","unstructured":"Ireton, C., Posetti, J.: Journalism, Fake News and Disinformation: Handbook for Journalism Education and Training. Unesco Publishing, Paris (2018)"},{"issue":"6380","key":"4_CR9","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1126\/science.aao2998","volume":"359","author":"DM Lazer","year":"2018","unstructured":"Lazer, D.M., et al.: The science of fake news. Science 359(6380), 1094\u20131096 (2018)","journal-title":"Science"},{"key":"4_CR10","doi-asserted-by":"publisher","unstructured":"Monteiro, R.A., Santos, R.L., Pardo, T.A., De Almeida, T.A., Ruiz, E.E., Vale, O.A.: Contributions to the study of fake news in portuguese: new corpus and automatic detection results. In: International Conference on Computational Processing of the Portuguese Language, pp. 324\u2013334. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99722-3_33","DOI":"10.1007\/978-3-319-99722-3_33"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Moraes, M.P., de Oliveira Sampaio, J., Charles, A.C.: Data mining applied in fake news classification through textual patterns. In: Proceedings of the 25th Brazilian Symposium on Multimedia and the Web, pp. 321\u2013324 (2019)","DOI":"10.1145\/3323503.3360648"},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"1646","DOI":"10.1016\/j.procs.2018.05.132","volume":"132","author":"G Rajendran","year":"2018","unstructured":"Rajendran, G., Chitturi, B., Poornachandran, P.: Stance-in-depth deep neural approach to stance classification. Proc. Comput. Sci. 132, 1646\u20131653 (2018)","journal-title":"Proc. Comput. Sci."},{"issue":"2","key":"4_CR13","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIS.2019.2899143","volume":"34","author":"JC Reis","year":"2019","unstructured":"Reis, J.C., Correia, A., Murai, F., Veloso, A., Benevenuto, F.: Supervised learning for fake news detection. IEEE Intell. Syst. 34(2), 76\u201381 (2019)","journal-title":"IEEE Intell. Syst."},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Silva, R.M., Santos, R.L., Almeida, T.A., Pardo, T.A.: Towards automatically filtering fake news in Portuguese. Exp. Syst. Appl. 146, 113199 (2020)","DOI":"10.1016\/j.eswa.2020.113199"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Resende, G., Messias, J., Silva, M., Almeida, J., Vasconcelos, M., Benevenuto, F.: A system for monitoring public political groups in WhatsApp. In: Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, pp. 387\u2013390 (2018)","DOI":"10.1145\/3243082.3264662"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Rubin, V.L., Conroy, N., Chen, Y., Cornwell, S.: Fake news or truth? Using satirical cues to detect potentially misleading news. In: Proceedings of the Second Workshop on Computational Approaches to Deception Detection, pp. 7\u201317 (2016)","DOI":"10.18653\/v1\/W16-0802"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Shao, C., Ciampaglia, G.L., Flammini, A., Menczer, F.: Hoaxy: A Platform for Tracking Online Misinformation (2016)","DOI":"10.1145\/2872518.2890098"},{"key":"4_CR18","unstructured":"Silverman, C.: This analysis shows how viral fake election news stories outperformed real news on Facebook. BuzzFeed (2016)"},{"key":"4_CR19","doi-asserted-by":"publisher","unstructured":"Toffalini, F., Abb\u00e0, M., Carra, D., Balzarotti, D.: Google dorks: analysis, creation, and new defenses. In: International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, pp. 255\u2013275 Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-40667-1_13","DOI":"10.1007\/978-3-319-40667-1_13"},{"key":"4_CR20","unstructured":"Verhoeven, B., Daelemans, W.: CLiPS Stylometry Investigation (CSI) corpus: a Dutch corpus for the detection of age, gender, personality, sentiment and deception in text. In: LREC, pp. 3081\u20133085 (2014)"},{"key":"4_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3070644","volume":"11","author":"S Vosoughi","year":"2017","unstructured":"Vosoughi, S., Roy, D.: Rumor gauge: predicting the veracity of rumors on Twitter. ACM Trans. Knowl. Discov. Data 11, 1\u201338 (2017)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"Wang, W.Y.: \u201cliar, liar pants on fire\u201d: a new benchmark dataset for fake news detection. arXiv:1705.00648 (2017)","DOI":"10.18653\/v1\/P17-2067"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, H., Tan, H.Y., Zheng, J.H.: Deception detection based on SVM for Chinese text in CMC. In: 2009 Sixth International Conference on Information Technology: New Generations IEEE, pp. 481\u2013486 (2009)","DOI":"10.1109\/ITNG.2009.66"}],"container-title":["Lecture Notes in Computer Science","Computational Processing of the Portuguese Language"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-98305-5_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T08:11:31Z","timestamp":1647504691000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-98305-5_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030983048","9783030983055"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-98305-5_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"16 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PROPOR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Processing of the Portuguese Language","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fortaleza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 March 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 March 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"propor2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.universidadedefortaleza.com\/propor2022\/","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":"88","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":"36","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":"4","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":"41% - 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":"3.16","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":"2.87","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":"A Scientific Review Committee of 97 researchers reviewed all papers. Conference was held online due to COVID-19.","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)"}}]}}