{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T04:21:53Z","timestamp":1751516513749,"version":"3.41.0"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030776251"},{"type":"electronic","value":"9783030776268"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-77626-8_9","type":"book-chapter","created":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T23:06:05Z","timestamp":1625267165000},"page":"136-148","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Fake News Detection via English-to-Spanish Translation: Is It Really Useful?"],"prefix":"10.1007","author":[{"given":"Sebasti\u00e1n","family":"Ru\u00edz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eliana","family":"Providel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcelo","family":"Mendoza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,3]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Ajao, O., Bhowmik, D., Zargari, S.: Fake news identification on Twitter with hybrid CNN and RNN models. In: Proceedings of the 9th International Conference on Social Media and Society, SMSociety 2018, pp. 226\u2013230 (2018)","DOI":"10.1145\/3217804.3217917"},{"key":"9_CR2","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, 211\u201336 (2017)","journal-title":"J. Econ. Perspect."},{"key":"9_CR3","unstructured":"Banerjee, S., Lavie, A.: METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In: Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and\/or Summarization, pp. 65\u201372 (2005)"},{"issue":"1","key":"9_CR4","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s13735-017-0143-x","volume":"7","author":"C Boididou","year":"2017","unstructured":"Boididou, C., Papadopoulos, S., Zampoglou, M., Apostolidis, L., Papadopoulou, O., Kompatsiaris, Y.: Detection and visualization of misleading content on Twitter. Int. J. Multimedia Inf. Retrieval 7(1), 71\u201386 (2017). https:\/\/doi.org\/10.1007\/s13735-017-0143-x","journal-title":"Int. J. Multimedia Inf. Retrieval"},{"key":"9_CR5","unstructured":"Caled, D., Silva, M.: FTR-18: Collecting rumours on football transfer news. In: Conference on Information and Knowledge Management Workshops, CIKM, vol. 2482. CEUR-WS (2019)"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Castillo, C., Mendoza, M., Poblete, B.: Information credibility on Twitter. In: Proceedings of the 20th International Conference on World Wide Web, WWW, Hyderabad, India, pp. 675\u2013684 (2011)","DOI":"10.1145\/1963405.1963500"},{"key":"9_CR7","unstructured":"Ca\u00f1ete, J., Chaperon, G., Fuentes, R., Ho, J.-H., Kang, H., P\u00e9rez, J.: Spanish pre-trained BERT model and evaluation data. In: PML4DC at ICLR 2020 (2020)"},{"key":"9_CR8","unstructured":"Costa-juss\u00e0, M.R., Zampieri, M., Pal, S.: A neural approach to language variety translation. In: Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, pp. 275\u2013282. Association for Computational Linguistics (2018)"},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"2236","DOI":"10.1016\/j.procs.2020.03.276","volume":"167","author":"S Deepak","year":"2020","unstructured":"Deepak, S., Bhadrachalam, C.: Deep neural approach to fake-news identification. Procedia Comput. Sci. 167, 2236\u20132243 (2020)","journal-title":"Procedia Comput. Sci."},{"key":"9_CR10","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, USA, vol. 1. (Long and Short Papers), pp. 4171\u20134186 (2019)"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Ferrara, E.: Manipulation and abuse on social media. ACM SIGWEB Newsletter, pp. 1\u20139 (2015)","DOI":"10.1145\/2749279.2749283"},{"key":"9_CR12","unstructured":"Jehl, L.: Machine Translation for Twitter. Master\u2019s thesis, University of Edinburgh (2010)"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Klein, G., Kim, Y., Deng, Y., Senellart, J., Rush, A.: OpenNMT: open-source toolkit for neural machine translation. In: Proceedings of ACL, System Demonstrations, pp. 67\u201372 (2017)","DOI":"10.18653\/v1\/P17-4012"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Koehn, P., et al.: Moses: open source toolkit for statistical machine translation. In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions, pp. 177\u2013180 (2007)","DOI":"10.3115\/1557769.1557821"},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"e0168344","DOI":"10.1371\/journal.pone.0168344","volume":"12","author":"S Kwon","year":"2017","unstructured":"Kwon, S., Cha, M., Jung, K.: Rumor detection over varying time windows. PLOS One 12, e0168344 (2017)","journal-title":"PLOS One"},{"key":"9_CR16","unstructured":"Liu, Y.: Early detection of fake news on social media. PhD thesis, New Jersey Institute of Technology (2019)"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Lohar, P., Popovi\u0107, M., Way, A.: Building English-to-Serbian machine translation system for IMDb movie reviews. In: Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, pp. 105\u2013113 (2019)","DOI":"10.18653\/v1\/W19-3715"},{"key":"9_CR18","unstructured":"Ma, J., et al.: Detecting rumors from microblogs with recurrent neural networks. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI2016, pp. 3818\u20133824 (2016)"},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.-F.: Detect rumors in microblog posts using propagation structure via kernel learning. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 708\u2013717, (2017)","DOI":"10.18653\/v1\/P17-1066"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.-F.: Rumor detection on Twitter with tree-structured recursive neural networks. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1980\u20131989 (2018)","DOI":"10.18653\/v1\/P18-1184"},{"key":"9_CR21","unstructured":"Maas, A.L., Daly, R.E., Pham, P.T., Huang, D., Ng, A.Y., Potts, C.: Learning word vectors for sentiment analysis. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 142\u2013150 (2011)"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Mendoza, M., Poblete, B., Castillo, C.: Twitter under crisis: can we trust what we RT? In: Proceedings of the 1st Workshop on Social Media Analytics, SOMA, Washington, USA, pp. 71\u201379 (2010)","DOI":"10.1145\/1964858.1964869"},{"key":"9_CR23","unstructured":"Nouhaila, B., Habib, A., Abdellah, A., Abdelhamid, I.E.F.: Arabic machine translation using bidirectional LSTM encoder-decoder (2018)"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.-J.: Bleu: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 311\u2013318 (2002)","DOI":"10.3115\/1073083.1073135"},{"issue":"5","key":"9_CR25","first-page":"4868","volume":"36","author":"J-P Posadas-Dur\u00e1n","year":"2019","unstructured":"Posadas-Dur\u00e1n, J.-P., Gomez-Adorno, H., Sidorov, G., Escobar, J.: Detection of fake news in a new corpus for the Spanish language. J. Intell. Fuzzy Syst. 36(5), 4868\u20134876 (2019)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"9_CR26","doi-asserted-by":"publisher","first-page":"101176","DOI":"10.1016\/j.ijdrr.2019.101176","volume":"37","author":"N Pourebrahim","year":"2019","unstructured":"Pourebrahim, N., Sultana, S., Edwards, J., Gochanour, A., Mohanty, S.: Understanding communication dynamics on Twitter during natural disasters: a case study of hurricane sandy. Int. J. Disaster Risk Reduct. 37, 101176 (2019)","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"9_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/978-3-030-49570-1_22","volume-title":"Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis","author":"E Providel","year":"2020","unstructured":"Providel, E., Mendoza, M.: Using deep learning to detect rumors in Twitter. In: Meiselwitz, G. (ed.) HCII 2020, Part I. LNCS, vol. 12194, pp. 321\u2013334. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-49570-1_22"},{"key":"9_CR28","unstructured":"Qazvinian, V., Rosengren, E., Radev, D.R., Mei, Q.: Rumor has it: identifying misinformation in microblogs. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp. 1589\u20131599 (2011)"},{"key":"9_CR29","unstructured":"Ram\u00edrez, V.: Plebiscito Colombia 2016 (2016). https:\/\/data.world\/bikthor\/plebiscito-colombia-2016"},{"key":"9_CR30","doi-asserted-by":"crossref","unstructured":"Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, pp. 851\u2013860 (2010)","DOI":"10.1145\/1772690.1772777"},{"key":"9_CR31","unstructured":"Sen, S., Banik, D., Ekbal, A., Bhattacharyya, P.: IITP English-Hindi machine translation system at WAT 2016. In: Proceedings of the 3rd Workshop on Asian Translation (WAT2016), pp. 216\u2013222, Osaka, Japan (2016)"},{"key":"9_CR32","unstructured":"Tiedemann, J.: Parallel data, tools and interfaces in OPUS. In: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC2012), pp. 2214\u20132218 (2012)"},{"key":"9_CR33","unstructured":"Tiedemann, J.: Parallel data, tools and interfaces in OPUS. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC2012) (2012)"},{"key":"9_CR34","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, 2\u20134 May 2013, Workshop Track Proceedings (2013)"},{"key":"9_CR35","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s10772-020-09724-9","volume":"23","author":"M Vathsala","year":"2020","unstructured":"Vathsala, M., Holi, G.: RNN based machine translation and transliteration for Twitter data. Int. J. Speech Technol. 23, 499\u2013504 (2020)","journal-title":"Int. J. Speech Technol."},{"key":"9_CR36","doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: EANN: event adversarial neural networks for multi-modal fake news detection. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, pp. 849\u2013857 (2018)","DOI":"10.1145\/3219819.3219903"},{"key":"9_CR37","doi-asserted-by":"crossref","unstructured":"Yu, F., Liu, Q., Wu, S., Wang, L., Tan, T.: A convolutional approach for misinformation identification. In: IJCAI2017, pp. 3901\u20133907 (2017)","DOI":"10.24963\/ijcai.2017\/545"},{"key":"9_CR38","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3161603","volume":"51","author":"A Zubiaga","year":"2018","unstructured":"Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., Procter, R.: Detection and resolution of rumours in social media: a survey. ACM Comput. Surv. 51, 1\u201336 (2018)","journal-title":"ACM Comput. Surv."}],"container-title":["Lecture Notes in Computer Science","Social Computing and Social Media: Experience Design and Social Network Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-77626-8_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T22:21:08Z","timestamp":1751494868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-77626-8_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030776251","9783030776268"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-77626-8_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"3 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2021","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":"hcii2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2021.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}