{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:31:30Z","timestamp":1774629090479,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T00:00:00Z","timestamp":1597190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,8,12]]},"DOI":"10.1145\/3410566.3410595","type":"proceedings-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T16:11:46Z","timestamp":1598371906000},"page":"1-10","source":"Crossref","is-referenced-by-count":8,"title":["Emotion cognizance improves health fake news identification"],"prefix":"10.1145","author":[{"given":"Anoop","family":"K","sequence":"first","affiliation":[{"name":"University of Calicut, Kerala, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak","family":"P","sequence":"additional","affiliation":[{"name":"Queen's University Belfast, Northern Ireland, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lajish V","family":"L","sequence":"additional","affiliation":[{"name":"University of Calicut, Kerala, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1257\/jep.31.2.211"},{"key":"e_1_3_2_1_2_1","volume-title":"Linking and Mining Heterogeneous and Multi-view Data","author":"Anoop K"},{"key":"e_1_3_2_1_3_1","unstructured":"Vian Bakir and Andrew McStay. 2018. Fake news and the economy of emotions: Problems causes solutions. Digital journalism 6 2 (2018) 154--175.  Vian Bakir and Andrew McStay. 2018. Fake news and the economy of emotions: Problems causes solutions. Digital journalism 6 2 (2018) 154--175."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-1002"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/IC3.2019.8844880"},{"key":"e_1_3_2_1_6_1","unstructured":"Sahil Chopra Saachi Jain and John Merriman Sholar. 2017. Towards automatic identification of fake news: Headline-article stance detection with LSTM attention models. In Stanford CS224d Deep Learning for NLP final project.  Sahil Chopra Saachi Jain and John Merriman Sholar. 2017. Towards automatic identification of fake news: Headline-article stance detection with LSTM attention models. In Stanford CS224d Deep Learning for NLP final project."},{"key":"e_1_3_2_1_7_1","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume":"96","author":"Ester Martin","year":"1996","journal-title":"Kdd"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372923.3404783"},{"key":"e_1_3_2_1_9_1","unstructured":"Daniel Gayo-Avello Panagiotis Takis Metaxas Eni Mustafaraj Markus Strohmaier Harald Schoen Peter Gloor Carlos Castillo Marcelo Mendoza and Barbara Poblete. 2013. Predicting information credibility in time-sensitive social media. Internet Research (2013).  Daniel Gayo-Avello Panagiotis Takis Metaxas Eni Mustafaraj Markus Strohmaier Harald Schoen Peter Gloor Carlos Castillo Marcelo Mendoza and Barbara Poblete. 2013. Predicting information credibility in time-sensitive social media. Internet Research (2013)."},{"key":"e_1_3_2_1_10_1","unstructured":"Chuan Guo Juan Cao Xueyao Zhang Kai Shu and Miao Yu. 2019. Exploiting emotions for fake news detection on social media. arXiv preprint arXiv:1903.01728 (2019).  Chuan Guo Juan Cao Xueyao Zhang Kai Shu and Miao Yu. 2019. Exploiting emotions for fake news detection on social media. arXiv preprint arXiv:1903.01728 (2019)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2010"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014).  Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014).","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.61"},{"key":"e_1_3_2_1_14_1","volume-title":"International conference on machine learning. 1188--1196","author":"Le Quoc","year":"2014"},{"key":"e_1_3_2_1_15_1","unstructured":"Jing Ma Wei Gao Prasenjit Mitra Sejeong Kwon Bernard J Jansen Kam-Fai Wong and Meeyoung Cha. 2016. Detecting rumors from microblogs with recurrent neural networks. (2016).  Jing Ma Wei Gao Prasenjit Mitra Sejeong Kwon Bernard J Jansen Kam-Fai Wong and Meeyoung Cha. 2016. Detecting rumors from microblogs with recurrent neural networks. (2016)."},{"key":"e_1_3_2_1_16_1","unstructured":"Jing Ma Wei Gao and Kam-Fai Wong. 2017. Detect rumors in microblog posts using propagation structure via kernel learning. Association for Computational Linguistics.  Jing Ma Wei Gao and Kam-Fai Wong. 2017. Detect rumors in microblog posts using propagation structure via kernel learning. Association for Computational Linguistics."},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the fifth Berkeley symposium on mathematical statistics and probability","volume":"1","author":"James"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s11782-017-0016-4"},{"key":"e_1_3_2_1_19_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_1_20_1","unstructured":"Saif M Mohammad. 2017. Word affect intensities. arXiv preprint arXiv:1704.08798 (2017).  Saif M Mohammad. 2017. Word affect intensities. arXiv preprint arXiv:1704.08798 (2017)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Jeannette Paschen. 2019. Investigating the emotional appeal of fake news using artificial intelligence and human contributions. Journal of Product & Brand Management (2019).  Jeannette Paschen. 2019. Investigating the emotional appeal of fake news using artificial intelligence and human contributions. Journal of Product & Brand Management (2019).","DOI":"10.1108\/JPBM-12-2018-2179"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3342220.3344927"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. 1589--1599","author":"Qazvinian Vahed","year":"2011"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-0802"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.2200\/S00926ED1V01Y201906DMK018"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15327965pli1502_01"},{"key":"e_1_3_2_1_27_1","unstructured":"Soroush Vosoughi Deb Roy and Sinan Aral. 2018. The spread of true and false news online. Science 359 6380 (2018) 1146--1151.  Soroush Vosoughi Deb Roy and Sinan Aral. 2018. The spread of true and false news online. Science 359 6380 (2018) 1146--1151."},{"key":"e_1_3_2_1_28_1","unstructured":"Przemyslaw M Waszak Wioleta Kasprzycka-Waszak and Alicja Kubanek. 2018. The spread of medical fake news in social media-the pilot quantitative study. Health policy and technology 7 2 (2018) 115--118.  Przemyslaw M Waszak Wioleta Kasprzycka-Waszak and Alicja Kubanek. 2018. The spread of medical fake news in social media-the pilot quantitative study. Health policy and technology 7 2 (2018) 115--118."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159677"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICODSE.2016.7936102"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEMSCON.2017.7998415"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741637"},{"key":"e_1_3_2_1_33_1","unstructured":"Arkaitz Zubiaga Maria Liakata and Rob Procter. 2016. Learning reporting dynamics during breaking news for rumour detection in social media. arXiv preprint arXiv:1610.07363 (2016).  Arkaitz Zubiaga Maria Liakata and Rob Procter. 2016. Learning reporting dynamics during breaking news for rumour detection in social media. arXiv preprint arXiv:1610.07363 (2016)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67217-5_8"}],"event":{"name":"IDEAS 2020: 24th International Database Engineering & Applications Symposium","location":"Seoul Republic of Korea","acronym":"IDEAS 2020"},"container-title":["Proceedings of the 24th Symposium on International Database Engineering &amp; Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3410566.3410595","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3410566.3410595","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:32:00Z","timestamp":1750195920000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3410566.3410595"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,12]]},"references-count":34,"alternative-id":["10.1145\/3410566.3410595","10.1145\/3410566"],"URL":"https:\/\/doi.org\/10.1145\/3410566.3410595","relation":{},"subject":[],"published":{"date-parts":[[2020,8,12]]}}}