{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T08:33:13Z","timestamp":1769589193594,"version":"3.49.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031429347","type":"print"},{"value":"9783031429354","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-42935-4_12","type":"book-chapter","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T19:01:38Z","timestamp":1694026898000},"page":"145-158","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Fuzzy Approach to\u00a0Detecting Suspected Disinformation in\u00a0Videos"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7999-9870","authenticated-orcid":false,"given":"Jared D. T.","family":"Guerrero-Sosa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6993-2434","authenticated-orcid":false,"given":"Francisco P.","family":"Romero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1893-3346","authenticated-orcid":false,"given":"Andres","family":"Montoro-Montarroso","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3587-1263","authenticated-orcid":false,"given":"Victor H.","family":"Menendez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6177-8188","authenticated-orcid":false,"given":"Jesus","family":"Serrano-Guerrero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4172-4729","authenticated-orcid":false,"given":"Jose A.","family":"Olivas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,7]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","unstructured":"Brown, T.B., Mann, B., Ryder, N., Subbiah, M., et al.: Language models are few-shot learners (2020). https:\/\/doi.org\/10.48550\/ARXIV.2005.14165. https:\/\/arxiv.org\/abs\/2005.14165","DOI":"10.48550\/ARXIV.2005.14165"},{"issue":"2","key":"12_CR2","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/s00500-016-2430-5","volume":"22","author":"P Conde-Clemente","year":"2018","unstructured":"Conde-Clemente, P., Alonso, J.M., Trivino, G.: Toward automatic generation of linguistic advice for saving energy at home. Soft. Comput. 22(2), 345\u2013359 (2018)","journal-title":"Soft. Comput."},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/978-3-030-58323-1_3","volume-title":"Text, Speech, and Dialogue","author":"A Giachanou","year":"2020","unstructured":"Giachanou, A., Zhang, G., Rosso, P.: Multimodal fake news detection with textual, visual and semantic information. In: Sojka, P., Kope\u010dek, I., Pala, K., Hor\u00e1k, A. (eds.) TSD 2020. LNCS (LNAI), vol. 12284, pp. 30\u201338. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58323-1_3"},{"key":"12_CR4","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.bspc.2016.06.020","volume":"31","author":"G Giannakakis","year":"2017","unstructured":"Giannakakis, G., et al.: Stress and anxiety detection using facial cues from videos. Biomed. Signal Process. Control 31, 89\u2013101 (2017). https:\/\/doi.org\/10.1016\/j.bspc.2016.06.020","journal-title":"Biomed. Signal Process. Control"},{"key":"12_CR5","unstructured":"Herrera-Planells, J., Villena-Rom\u00e1n, J.: MeaningCloud at TASS 2018: news headlines categorization for brand safety assessment. In: Estevez-Velarde, S., et al. (eds.) CEUR Workshop Proceedings, p. 139622. CEUR-WS, Sevilla (2018)"},{"key":"12_CR6","unstructured":"Kaehler, A., Bradski, G.: Learning OpenCV 3 - Computer Vision in C++ with the OpenCV Library. O\u2019Reilly Media, Inc. (2016)"},{"issue":"1","key":"12_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10579-018-9423-1","volume":"54","author":"DE Losada","year":"2018","unstructured":"Losada, D.E., Gamallo, P.: Evaluating and improving lexical resources for detecting signs of depression in text. Lang. Resour. Eval. 54(1), 1\u201324 (2018). https:\/\/doi.org\/10.1007\/s10579-018-9423-1","journal-title":"Lang. Resour. Eval."},{"key":"12_CR8","doi-asserted-by":"publisher","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space (2013). https:\/\/doi.org\/10.48550\/ARXIV.1301.3781. https:\/\/arxiv.org\/abs\/1301.3781","DOI":"10.48550\/ARXIV.1301.3781"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Novikova, I.A., Vorobyeva, A.A.: The five-factor model: Contemporary personality theory. Cross-Cultural Psychology: Contemporary Themes and Perspectives, pp. 685\u2013706 (2019)","DOI":"10.1002\/9781119519348.ch33"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: GloVe: global Vectors for Word Representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543. Association for Computational Linguistics, Doha (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"12_CR11","unstructured":"Radford, A., et al.: Introducing Whisper (2022). https:\/\/openai.com\/blog\/whisper\/"},{"issue":"1","key":"12_CR12","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1002\/asi.24359","volume":"72","author":"VK Singh","year":"2021","unstructured":"Singh, V.K., Ghosh, I., Sonagara, D.: Detecting fake news stories via multimodal analysis. J. Am. Soc. Inf. Sci. 72(1), 3\u201317 (2021). https:\/\/doi.org\/10.1002\/asi.24359","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"12_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117952","volume":"207","author":"P Srinivas","year":"2022","unstructured":"Srinivas, P., Das, A., Pulabaigari, V.: Fake spreader is a narcissist; real spreader is machiavellian prediction of fake news diffusion using psycho-sociological facets. Expert Syst. Appl. 207, 117952 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.117952","journal-title":"Expert Syst. Appl."},{"key":"12_CR14","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.7534952","author":"B Steel","year":"2023","unstructured":"Steel, B., Parker, S., Ruths, D.: Invasion of Ukraine discourse on TikTok dataset (2023). https:\/\/doi.org\/10.5281\/zenodo.7534952","journal-title":"Invasion of Ukraine discourse on TikTok dataset"},{"key":"12_CR15","doi-asserted-by":"publisher","unstructured":"Su, L., Levine, M.: Does \u201clie to me\u201d lie to you? an evaluation of facial clues to high-stakes deception. Comput. Vis. Image Understanding 147, 52\u201368 (2016). https:\/\/doi.org\/10.1016\/j.cviu.2016.01.009","DOI":"10.1016\/j.cviu.2016.01.009"},{"key":"12_CR16","unstructured":"Vasiliev, Y.: Natural Language Processing with Python and SpaCy: A Practical Introduction. No Starch Press (2020)"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Zadeh, L.A.: Granular computing as a basis for a computational theory of perceptions. In: 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE\u201902. Proceedings (Cat. No. 02CH37291), vol. 1, pp. 564\u2013565. IEEE (2002)","DOI":"10.1109\/FUZZ.2002.1005053"},{"issue":"10","key":"12_CR18","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1016\/j.specom.2009.04.009","volume":"51","author":"K Zechner","year":"2009","unstructured":"Zechner, K., Higgins, D., Xi, X., Williamson, D.M.: Automatic scoring of non-native spontaneous speech in tests of spoken English. Speech Commun. 51(10), 883\u2013895 (2009). https:\/\/doi.org\/10.1016\/j.specom.2009.04.009","journal-title":"Speech Commun."},{"key":"12_CR19","doi-asserted-by":"publisher","unstructured":"Zheng, Y., Wang, B., Zheng, Y.: 68 face feature points detection based on cascading convolutional neural network with small filter. Highlights in Science, Engineering and Technology 9, 135\u2013142, September 2022. https:\/\/doi.org\/10.54097\/hset.v9i.1731","DOI":"10.54097\/hset.v9i.1731"}],"container-title":["Lecture Notes in Computer Science","Flexible Query Answering Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-42935-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T16:13:00Z","timestamp":1730045580000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-42935-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031429347","9783031429354"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-42935-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"7 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FQAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Flexible Query Answering Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mallorca","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fqas2023","order":10,"name":"conference_id","label":"Conference ID","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":"26","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":"92% - 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":"2","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","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)"}}]}}