{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:31:27Z","timestamp":1766269887288},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030307592"},{"type":"electronic","value":"9783030307608"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-30760-8_25","type":"book-chapter","created":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T13:02:54Z","timestamp":1568034174000},"page":"288-295","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Fake News Detection with the New German Dataset \u201cGermanFakeNC\u201d"],"prefix":"10.1007","author":[{"given":"Inna","family":"Vogel","sequence":"first","affiliation":[]},{"given":"Peter","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,30]]},"reference":[{"issue":"1","key":"25_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1007730.1007733","volume":"6","author":"NV Chawla","year":"2004","unstructured":"Chawla, N.V., Japkowicz, N., Kotcz, A.: Special issue on learning from imbalanced data sets. ACM SIGKDD Explor. Newsl. 6(1), 1\u20136 (2004)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"25_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1007\/978-3-319-98932-7_4","volume-title":"Experimental IR Meets Multilinguality, Multimodality, and Interaction","author":"O Halvani","year":"2018","unstructured":"Halvani, O., Graner, L.: Rethinking the evaluation methodology of authorship verification methods. In: Bellot, P., et al. (eds.) CLEF 2018. LNCS, vol. 11018, pp. 40\u201351. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-319-98932-7_4"},{"key":"25_CR3","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: International AAAI Conference on Web and Social Media, pp. 759\u2013766 (2017). \n                      https:\/\/aaai.org\/ocs\/index.php\/ICWSM\/ICWSM17\/paper\/view\/15772\/14898"},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Koppel, M., Schler, J.: Authorship verification as a one-class classification problem. In: Proceedings of the Twenty-first International Conference on Machine Learning, p. 62. ACM (2004)","DOI":"10.1145\/1015330.1015448"},{"key":"25_CR5","doi-asserted-by":"publisher","DOI":"10.4135\/9781446221570","volume-title":"Introductory Statistics for Health and Nursing Using SPSS","author":"L Marston","year":"2010","unstructured":"Marston, L.: Introductory Statistics for Health and Nursing Using SPSS. SAGE Publications, Thousand Oaks (2010)"},{"issue":"3","key":"25_CR6","doi-asserted-by":"publisher","first-page":"628","DOI":"10.1111\/ajps.12162","volume":"59","author":"B Nyhan","year":"2015","unstructured":"Nyhan, B., Reifler, J.: The effect of fact-checking on elites: a field experiment on us state legislators. Am. J. Polit. Sci. 59(3), 628\u2013640 (2015)","journal-title":"Am. J. Polit. Sci."},{"key":"25_CR7","doi-asserted-by":"publisher","unstructured":"Popat, K., Mukherjee, S., Str\u00f6tgen, J., Weikum, G.: Credibility assessment of textual claims on the web. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM 2016, pp. 2173\u20132178. ACM, New York (2016). \n                      https:\/\/doi.org\/10.1145\/2983323.2983661\n                      \n                    , \n                      http:\/\/doi.acm.org\/10.1145\/2983323.2983661","DOI":"10.1145\/2983323.2983661"},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Potthast, M., Kiesel, J., Reinartz, K., Bevendorff, J., Stein, B.: A stylometric inquiry into hyperpartisan and fake news. In: The 56th Annual Meeting of the Association for Computational Linguistics (Long Papers). Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-1022"},{"key":"25_CR9","unstructured":"Rashkin, H., Choi, E., Jang, J.Y., Volkova, S., Choi, Y.: Truth of varying shades: Analyzing language in fake news and political fact-checking. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 2931\u20132937. Association for Computational Linguistics (2017). \n                      http:\/\/aclweb.org\/anthology\/D17-1317"},{"key":"25_CR10","doi-asserted-by":"publisher","unstructured":"Rubin, V., 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. Association for Computational Linguistics (2016). \n                      https:\/\/doi.org\/10.18653\/v1\/W16-0802\n                      \n                    , \n                      http:\/\/www.aclweb.org\/anthology\/W16-0802","DOI":"10.18653\/v1\/W16-0802"},{"key":"25_CR11","unstructured":"Rubin, V.L., Chen, Y., Conroy, N.J.: Deception detection for news: three types of fakes. In: Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community, ASIST 2015, pp. 83:1\u201383:4. American Society for Information Science, Silver Springs, MD, USA (2015). \n                      http:\/\/dl.acm.org\/citation.cfm?id=2857070.2857153"},{"issue":"1","key":"25_CR12","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. ACM SIGKDD Explor. Newsl. 19(1), 22\u201336 (2017)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"25_CR13","unstructured":"Thorne, J., Vlachos, A., Christodoulopoulos, C., Mittal, A.: Fever: a large-scale dataset for fact extraction and verification. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pp. 809\u2013819. Association for Computational Linguistics (2018). \n                      http:\/\/aclweb.org\/anthology\/N18-1074"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Wang, W.Y.: Liar, liar pants on fire: a new benchmark dataset for fake news detection. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 422\u2013426. Association for Computational Linguistics (2017)","DOI":"10.18653\/v1\/P17-2067"}],"container-title":["Lecture Notes in Computer Science","Digital Libraries for Open Knowledge"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-30760-8_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T13:06:02Z","timestamp":1568034362000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-30760-8_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030307592","9783030307608"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-30760-8_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"30 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TPDL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Theory and Practice of Digital Libraries","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Oslo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Norway","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tpdl2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.tpdl.eu\/tpdl2019\/","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":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"75","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":"16","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":"12","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":"21% - 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":"3","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)"}}]}}