{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:10:06Z","timestamp":1772302206415,"version":"3.50.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T00:00:00Z","timestamp":1657584000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T00:00:00Z","timestamp":1657584000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61672329"],"award-info":[{"award-number":["No.61672329"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.62072290,No. 81871508"],"award-info":[{"award-number":["No.62072290,No. 81871508"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 61773246"],"award-info":[{"award-number":["No. 61773246"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2019ZD04"],"award-info":[{"award-number":["ZR2019ZD04"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["No. ZR2018ZB0419"],"award-info":[{"award-number":["No. ZR2018ZB0419"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014473","name":"Shandong Education Science Plan","doi-asserted-by":"publisher","award":["No.SDYY18058"],"award-info":[{"award-number":["No.SDYY18058"]}],"id":[{"id":"10.13039\/100014473","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s10489-022-03822-8","type":"journal-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T18:02:54Z","timestamp":1657648974000},"page":"6953-6965","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Explainable knowledge integrated sequence model for detecting fake online reviews"],"prefix":"10.1007","volume":"53","author":[{"given":"Shu","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5468-8400","authenticated-orcid":false,"given":"Hong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luhe","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,12]]},"reference":[{"key":"3822_CR1","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.ins.2019.09.007","volume":"510","author":"W Yuan","year":"2020","unstructured":"Yuan W, Wang H, Yu X, Liu N, Li Z (2020) Attention-based context-aware sequential recommendation model. Inf Sci 510:122\u2013134","journal-title":"Inf Sci"},{"issue":"1","key":"3822_CR2","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s12652-017-0630-1","volume":"10","author":"B Hu","year":"2019","unstructured":"Hu B, Wang H, Yu X, Yuan W, He T (2019) Sparse network embedding for community detection and sign prediction in signed social networks. Journal of Ambient Intelligence and Humanized Computing 10(1):175\u2013186","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"3822_CR3","doi-asserted-by":"crossref","unstructured":"Jindal N, Liu B (2007) Analyzing and detecting review spam. In: Seventh IEEE International Conference on Data Mining (ICDM 2007). IEEE, pp 547\u2013552","DOI":"10.1109\/ICDM.2007.68"},{"issue":"12","key":"3822_CR4","doi-asserted-by":"publisher","first-page":"4281","DOI":"10.1007\/s10489-020-01761-w","volume":"50","author":"Y Fang","year":"2020","unstructured":"Fang Y, Wang H, Zhao L, Yu F, Wang C (2020) Dynamic knowledge graph based fake-review detection. Appl Intell 50(12):4281\u20134295","journal-title":"Appl Intell"},{"issue":"6","key":"3822_CR5","doi-asserted-by":"publisher","first-page":"2046","DOI":"10.1007\/s10489-018-1375-z","volume":"49","author":"S Feng","year":"2019","unstructured":"Feng S, Zhang H, Cao J, Yao Y (2019) Merging user social network into the random walk model for better group recommendation. Appl Intell 49(6):2046\u20132058","journal-title":"Appl Intell"},{"key":"3822_CR6","doi-asserted-by":"crossref","unstructured":"Jindal N, Liu B (2008) Opinion spam and analysis. In: Proceedings of the 2008 International Conference on Web Search and Data Mining, pp 219\u2013230","DOI":"10.1145\/1341531.1341560"},{"key":"3822_CR7","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.knosys.2019.02.002","volume":"171","author":"S Feng","year":"2019","unstructured":"Feng S, Zhang H, Wang L, Liu L, Xu Y (2019) Detecting the latent associations hidden in multi-source information for better group recommendation. Knowledge-Based Systems 171:56\u201368","journal-title":"Knowledge-Based Systems"},{"issue":"4","key":"3822_CR8","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.12733\/jics20105452","volume":"12","author":"Y Li","year":"2015","unstructured":"Li Y, Lin Y, Zhang J, Li J, Zhao L (2015) Highlighting the fake reviews in review sequence with the suspicious contents and behaviours. Journal Of Information & Computational Science 12(4):1615\u20131627","journal-title":"Journal Of Information & Computational Science"},{"key":"3822_CR9","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.ins.2018.03.031","volume":"450","author":"R Liu","year":"2018","unstructured":"Liu R, Wang H, Yu X (2018) Shared-nearest-neighbor-based clustering by fast search and find of density peaks. Inf Sci 450:200\u2013226","journal-title":"Inf Sci"},{"issue":"8","key":"3822_CR10","doi-asserted-by":"publisher","first-page":"2339","DOI":"10.1007\/s10489-020-01680-w","volume":"50","author":"T Wang","year":"2020","unstructured":"Wang T, Liu L, Liu N, Zhang H, Zhang L, Feng S (2020) A multi-label text classification method via dynamic semantic representation model and deep neural network. Appl Intell 50 (8):2339\u20132351","journal-title":"Appl Intell"},{"issue":"5786","key":"3822_CR11","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton GE, Salakhutdinov RR (2006) Reducing the dimensionality of data with neural networks. Science 313(5786):504\u2013 507","journal-title":"Science"},{"key":"3822_CR12","doi-asserted-by":"crossref","unstructured":"Blum A, Mitchell T (1998) Combining labeled and unlabeled data with co-training. In: Proceedings of the eleventh annual conference on computational learning theory, pp 92\u2013100","DOI":"10.1145\/279943.279962"},{"key":"3822_CR13","doi-asserted-by":"crossref","unstructured":"Li J, Ott M, Cardie C, Hovy E (2014) Towards a general rule for identifying deceptive opinion spam. In: Proceedings of the 52nd annual meeting of the association for computational linguistics (Volume 1: Long Papers), pp 1566\u20131576","DOI":"10.3115\/v1\/P14-1147"},{"key":"3822_CR14","doi-asserted-by":"crossref","unstructured":"Dewang RK, Singh AK (2015) Identification of fake reviews using new set of lexical and syntactic features. In: Proceedings of the sixth international conference on computer and communication technology 2015, pp 115\u2013119","DOI":"10.1145\/2818567.2818589"},{"key":"3822_CR15","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.neucom.2016.10.080","volume":"254","author":"L Li","year":"2017","unstructured":"Li L, Qin B, Ren W, Liu T (2017) Document representation and feature combination for deceptive spam review detection. Neurocomputing 254:33\u201341","journal-title":"Neurocomputing"},{"key":"3822_CR16","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.ins.2017.01.015","volume":"385","author":"Y Ren","year":"2017","unstructured":"Ren Y, Ji D (2017) Neural networks for deceptive opinion spam detection: an empirical study. Inf Sci 385:213\u2013224","journal-title":"Inf Sci"},{"key":"3822_CR17","doi-asserted-by":"crossref","unstructured":"Barushka A, Hajek P (2019) Review spam detection using word embeddings and deep neural networks. In: IFIP International conference on artificial intelligence applications and innovations. Springer, pp 340\u2013350","DOI":"10.1007\/978-3-030-19823-7_28"},{"issue":"23","key":"3822_CR18","doi-asserted-by":"publisher","first-page":"17259","DOI":"10.1007\/s00521-020-04757-2","volume":"32","author":"P Hajek","year":"2020","unstructured":"Hajek P, Barushka A, Munk M (2020) Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Comput & Applic 32(23):17259\u201317274","journal-title":"Neural Comput & Applic"},{"issue":"7","key":"3822_CR19","doi-asserted-by":"publisher","first-page":"243","DOI":"10.3390\/info10070243","volume":"10","author":"Z-Y Zeng","year":"2019","unstructured":"Zeng Z-Y, Lin J-J, Chen M-S, Chen M-H, Lan Y-Q, Liu J-L (2019) A review structure based ensemble model for deceptive review spam. Information 10(7):243","journal-title":"Information"},{"key":"3822_CR20","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556"},{"key":"3822_CR21","unstructured":"Van der Maaten L, Hinton G (2008) Visualizing data using t-sne J Mach Learn Res 9(11)"},{"key":"3822_CR22","doi-asserted-by":"crossref","unstructured":"Gade K, Geyik S, Kenthapadi K, Mithal V, Taly A (2020) Explainable ai in industry: practical challenges and lessons learned. In: Companion proceedings of the Web conference 2020, pp 303\u2013304","DOI":"10.1145\/3366424.3383110"},{"key":"3822_CR23","doi-asserted-by":"crossref","unstructured":"Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Annals of statistics","DOI":"10.1214\/aos\/1013203451"},{"key":"3822_CR24","doi-asserted-by":"crossref","unstructured":"Ribeiro MT, Singh S, Guestrin C (2016) Why should i trust you? explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp 1135\u20131144","DOI":"10.1145\/2939672.2939778"},{"key":"3822_CR25","first-page":"245","volume":"47","author":"I Tiddi","year":"2020","unstructured":"Tiddi I et al (2020) Directions for explainable knowledge-enabled systems. Knowledge Graphs for eXplainable Artificial intelligence: Foundations Applications and Challenges 47:245","journal-title":"Knowledge Graphs for eXplainable Artificial intelligence: Foundations Applications and Challenges"},{"issue":"2","key":"3822_CR26","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s13222-019-00313-y","volume":"19","author":"C Bizer","year":"2019","unstructured":"Bizer C, Primpeli A, Peeters R (2019) Using the semantic web as a source of training data. Datenbank-Spektrum 19(2):127\u2013135","journal-title":"Datenbank-Spektrum"},{"issue":"1","key":"3822_CR27","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1002\/spy2.9","volume":"1","author":"H Ahmed","year":"2018","unstructured":"Ahmed H, Traore I, Saad S (2018) Detecting opinion spams and fake news using text classification. Security and Privacy 1(1):9","journal-title":"Security and Privacy"},{"key":"3822_CR28","doi-asserted-by":"crossref","unstructured":"Martineau JC, Finin T (2009) Delta tfidf: an improved feature space for sentiment analysis. In: Third international AAAI conference on weblogs and social media","DOI":"10.1609\/icwsm.v3i1.13979"},{"issue":"4","key":"3822_CR29","first-page":"467","volume":"18","author":"PF Brown","year":"1992","unstructured":"Brown PF, Della Pietra VJ, Desouza PV, Lai JC, Mercer RL (1992) Class-based n-gram models of natural language. Computational linguistics 18(4):467\u2013480","journal-title":"Computational linguistics"},{"key":"3822_CR30","doi-asserted-by":"crossref","unstructured":"Pennington J, Socher R, Manning CD (2014) Glove: Global vectors for word representation. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pp 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"key":"3822_CR31","unstructured":"Ott M, Choi Y, Cardie C, Hancock JT (2011) Finding deceptive opinion spam by any stretch of the imagination. arXiv:11070.4557"},{"key":"3822_CR32","unstructured":"Li FH, Huang M, Yang Y, Zhu X (2011) Learning to identify review spam. In: Twenty-second international joint conference on artificial intelligence"},{"key":"3822_CR33","doi-asserted-by":"publisher","first-page":"113465","DOI":"10.1016\/j.eswa.2020.113465","volume":"156","author":"N Cao","year":"2020","unstructured":"Cao N, Ji S, Chiu DK, He M, Sun X (2020) A deceptive review detection framework: Combination of coarse and fine-grained features. Expert Syst Appl 156:113465","journal-title":"Expert Syst Appl"},{"key":"3822_CR34","doi-asserted-by":"crossref","unstructured":"Kennedy S, Walsh N, Sloka K, Foster J, McCarren A (2020) Fact or factitious? contextualized opinion spam detection. arXiv:2010.15296","DOI":"10.18653\/v1\/P19-2048"},{"key":"3822_CR35","doi-asserted-by":"crossref","unstructured":"Jiang C, Zhang X, Jin A (2020) Detecting online fake reviews via hierarchical neural networks and multivariate features. In: International conference on neural information processing. Springer, pp 730\u2013742","DOI":"10.1007\/978-3-030-63830-6_61"},{"key":"3822_CR36","doi-asserted-by":"publisher","first-page":"102274","DOI":"10.1016\/j.cose.2021.102274","volume":"106","author":"A Neisari","year":"2021","unstructured":"Neisari A, Rueda L, Saad S (2021) Spam review detection using self-organizing maps and convolutional neural networks. Computers & Security 106:102274","journal-title":"Computers & Security"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03822-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03822-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03822-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T04:36:52Z","timestamp":1677472612000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03822-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,12]]},"references-count":36,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["3822"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03822-8","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,12]]},"assertion":[{"value":"27 May 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that they have no conflicts of interest to this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interests"}}]}}