{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:06:15Z","timestamp":1775228775914,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819749843","type":"print"},{"value":"9789819749850","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-4985-0_30","type":"book-chapter","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T11:07:08Z","timestamp":1721041628000},"page":"384-395","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Involving Society to\u00a0Protect Society from\u00a0Fake News and\u00a0Disinformation: Crowdsourced Datasets and\u00a0Text Reliability Assessment"],"prefix":"10.1007","author":[{"given":"Gracjan","family":"K\u0105tek","sequence":"first","affiliation":[]},{"given":"Marta","family":"Gackowska","sequence":"additional","affiliation":[]},{"given":"Joanna","family":"Komorniczak","sequence":"additional","affiliation":[]},{"given":"Pawe\u0142","family":"Ksieniewicz","sequence":"additional","affiliation":[]},{"given":"Rafa\u0142","family":"Kozik","sequence":"additional","affiliation":[]},{"given":"Marek","family":"Pawlicki","sequence":"additional","affiliation":[]},{"given":"Micha\u0142","family":"Chora\u015b","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,16]]},"reference":[{"issue":"1","key":"30_CR1","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1145\/3137597.3137600","volume":"19","author":"K Shu","year":"2017","unstructured":"Shu, K., Sliva, A., Wang, S., Tang, J., Liu, H.: Fake news detection on social media: a data mining perspective. SIGKDD Explor. 19(1), 22\u201336 (2017)","journal-title":"SIGKDD Explor."},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Quandt, T., Frischlich, L., Boberg, S., Schatto-Eckrodt, T.: Fake news (2019)","DOI":"10.1002\/9781118841570.iejs0128"},{"issue":"6380","key":"30_CR3","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1126\/science.aap9559","volume":"359","author":"S Vosoughi","year":"2018","unstructured":"Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146\u20131151 (2018)","journal-title":"Science"},{"issue":"2","key":"30_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1257\/jep.31.2.211","volume":"31","author":"H Allcott","year":"2017","unstructured":"Allcott, H., Gentzkow, M.: Social media and fake news in the 2016 election. J. Econ. Perspect. 31(2), 211\u2013236 (2017)","journal-title":"J. Econ. Perspect."},{"key":"30_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-94825-2","volume-title":"COVID-19 Disinformation: A Multi-national, Whole of Society Perspective","author":"R Gill","year":"2022","unstructured":"Gill, R., Goolsby, R.: COVID-19 Disinformation: A Multi-national, Whole of Society Perspective. Springer Nature, Cham, Switzerland (2022). https:\/\/doi.org\/10.1007\/978-3-030-94825-2"},{"issue":"2","key":"30_CR6","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1007\/s10479-022-05015-5","volume":"327","author":"P Akhtar","year":"2023","unstructured":"Akhtar, P., et al.: Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions. Ann. Oper. Res. 327(2), 633\u2013657 (2023)","journal-title":"Ann. Oper. Res."},{"key":"30_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-42699-6","volume-title":"Disinformation, misinformation, and fake news in social media: emerging research challenges and opportunities","author":"K Shu","year":"2020","unstructured":"Shu, K., Wang, S., Lee, D., Liu, H.: Disinformation, misinformation, and fake news in social media: emerging research challenges and opportunities. Springer, Berlin, Germany (2020)"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"A\u00efmeur, E., Amri, S., Brassard, G.: Fake news, disinformation and misinformation in social media: a review. Soc. Netw. Anal. Min. 13(1) (2023)","DOI":"10.1007\/s13278-023-01028-5"},{"issue":"4","key":"30_CR9","doi-asserted-by":"publisher","first-page":"150","DOI":"10.3390\/info10040150","volume":"10","author":"K Kowsari","year":"2019","unstructured":"Kowsari, K., Meimandi, K.J., Heidarysafa, M., Mendu, S., Barnes, L., Brown, D.: Text classification algorithms: a survey. Information (Basel) 10(4), 150 (2019)","journal-title":"Information (Basel)"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Hamed, S.K., Ab\u00a0Aziz, M.J., Yaakub, M.R.: A review of fake news detection approaches: a critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation, and data fusion. Heliyon 9(10), e20382 (2023)","DOI":"10.1016\/j.heliyon.2023.e20382"},{"key":"30_CR11","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-030-49264-9_2","volume-title":"Integrated Science in Digital Age 2020","author":"D de Beer","year":"2021","unstructured":"de Beer, D., Matthee, M.: Approaches to identify fake news: a systematic literature review. In: Antipova, T. (ed.) ICIS 2020. LNNS, vol. 136, pp. 13\u201322. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-49264-9_2"},{"issue":"3","key":"30_CR12","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1016\/j.ejor.2019.06.022","volume":"279","author":"C Zhang","year":"2019","unstructured":"Zhang, C., Gupta, A., Kauten, C., Deokar, A.V., Qin, X.: Detecting fake news for reducing misinformation risks using analytics approaches. Eur. J. Oper. Res. 279(3), 1036\u20131052 (2019)","journal-title":"Eur. J. Oper. Res."},{"key":"30_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2022.108432","volume":"172","author":"S Garg","year":"2022","unstructured":"Garg, S., Kumar Sharma, D.: Linguistic features based framework for automatic fake news detection. Comput. Ind. Eng. 172, 108432 (2022)","journal-title":"Comput. Ind. Eng."},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Horne, B., Adali, S.: This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news. In: Proceedings of the International AAAI Conference on Web and Social Media, vol.\u00a011, no.\u00a01, pp.\u00a0759\u2013766 (2017)","DOI":"10.1609\/icwsm.v11i1.14976"},{"issue":"102140","key":"30_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102140","volume":"103","author":"F Farhangian","year":"2024","unstructured":"Farhangian, F., Cruz, R.M.O., Cavalcanti, G.D.C.: Fake news detection: taxonomy and comparative study. Inf. Fusion 103(102140), 102140 (2024)","journal-title":"Inf. Fusion"},{"key":"30_CR16","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"914","DOI":"10.1007\/978-3-030-33509-0_86","volume-title":"Advances on P2P, Parallel, Grid, Cloud and Internet Computing","author":"MK Elhadad","year":"2020","unstructured":"Elhadad, M.K., Li, K.F., Gebali, F.: A novel approach for selecting hybrid features from online news textual metadata for fake news detection. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds.) 3PGCIC 2019. LNNS, vol. 96, pp. 914\u2013925. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-33509-0_86"},{"key":"30_CR17","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1016\/j.procs.2022.10.064","volume":"208","author":"M Liang","year":"2022","unstructured":"Liang, M., Niu, T.: Research on text classification techniques based on improved TF-IDF algorithm and LSTM inputs. Procedia Comput. Sci. 208, 460\u2013470 (2022)","journal-title":"Procedia Comput. Sci."},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Onan, A.: Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion. J. King Saud Univ. Comput. Inf. Sci. 35(7), 101610 (2023)","DOI":"10.1016\/j.jksuci.2023.101610"},{"key":"30_CR19","doi-asserted-by":"publisher","unstructured":"Gackowska, M., Katek, G., \u015arutek, M., Kozik, R., Chora\u015b, M.: Document annotation tool for news content analysis. In: Lecture Notes in Networks and Systems, pp.\u00a0211\u2013217. Springer Nature Switzerland, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-41630-9_21","DOI":"10.1007\/978-3-031-41630-9_21"},{"key":"30_CR20","unstructured":"sdadas\/polish-distilroberta. hugging face. https:\/\/huggingface.co\/sdadas\/polish-distilroberta. Accessed 11 Dec 2023"},{"key":"30_CR21","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter (2019)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-4985-0_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T11:15:41Z","timestamp":1721042141000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-4985-0_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819749843","9789819749850"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-4985-0_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ras Al Khaimah","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Arab Emirates","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2024\/index.php#about","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}