{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:09:31Z","timestamp":1759961371529,"version":"3.37.3"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:00:00Z","timestamp":1642809600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:00:00Z","timestamp":1642809600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Data Sci Anal"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper, we present an approach for predicting trust links between peers in social media, one that is grounded in the artificial intelligence area of multiagent trust modeling. In particular, we propose a data-driven multi-faceted trust modeling which incorporates many distinct features for a comprehensive analysis. We focus on demonstrating how clustering of similar users enables a critical new functionality: supporting more personalized, and thus more accurate predictions for users. Illustrated in a trust-aware item recommendation task, we evaluate the proposed framework in the context of a large Yelp data set. We then discuss how improving the detection of trusted relationships in social media can assist in supporting online users in their battle against the spread of misinformation and rumors, within a social networking environment which has recently exploded in popularity. We conclude with a reflection on a particularly vulnerable user base, older adults, in order to illustrate the value of reasoning about groups of users, looking to some future directions for integrating known preferences with insights gained through data analysis.<\/jats:p>","DOI":"10.1007\/s41060-021-00294-w","type":"journal-article","created":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T00:03:53Z","timestamp":1642809833000},"page":"399-425","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management"],"prefix":"10.1007","volume":"13","author":[{"given":"Alexandre","family":"Parmentier","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robin","family":"Cohen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueguang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9950-6313","authenticated-orcid":false,"given":"Gaurav","family":"Sahu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Queenie","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,22]]},"reference":[{"issue":"2","key":"294_CR1","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"unstructured":"Burnett, C., Norman, T., Sycara, K.: Bootstrapping trust evaluations through stereotypes. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, pp. 241\u2013248 (2010)","key":"294_CR2"},{"unstructured":"Center, P.R.: Internet use. https:\/\/www.pewresearch.org\/internet\/chart\/internet-use\/ (2019 (Accessed March 23, 2020))","key":"294_CR3"},{"doi-asserted-by":"crossref","unstructured":"Champaign, J., Zhang, J., Cohen, R.: Coping with poor advice from peers in peer-based intelligent tutoring: The case of avoiding bad annotations of learning objects. In: Proceedings of the Nineteenth International Conference on User , Adaptation, and Personalization, UMAP\u201911, pp. 38\u201349. Springer (2011)","key":"294_CR4","DOI":"10.1007\/978-3-642-22362-4_4"},{"doi-asserted-by":"publisher","unstructured":"Cho, J., Rager, S., O\u2019Donovan, J., Adali, S., Horne, B.D.: Uncertainty-based false information propagation in social networks. ACM Trans. Soc. Comput. 2(2), 5:1\u20135:34 (2019). https:\/\/doi.org\/10.1145\/3311091","key":"294_CR5","DOI":"10.1145\/3311091"},{"key":"294_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2815595","volume":"48","author":"JH Cho","year":"2015","unstructured":"Cho, J.H., Chan, K., Adali, S.: A survey on trust modeling. ACM Comput. Surv. 48, 1\u201340 (2015). https:\/\/doi.org\/10.1145\/2815595","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"294_CR7","first-page":"65","volume":"39","author":"GL Ciampaglia","year":"2018","unstructured":"Ciampaglia, G.L., Mantzarlis, A., Maus, G., Menczer, F.: Research challenges of digital misinformation: toward a trustworthy web. AI Mag. 39(1), 65\u201374 (2018)","journal-title":"AI Mag."},{"doi-asserted-by":"publisher","unstructured":"Coelho, J., Duarte, C.: A literature survey on older adults\u2019 use of social network services and social applications. Comput. Human Behav. 58, 187\u2013205 (2016). https:\/\/doi.org\/10.1016\/j.chb.2015.12.053","key":"294_CR8","DOI":"10.1016\/j.chb.2015.12.053"},{"doi-asserted-by":"publisher","unstructured":"Fang, H., Guo, G., Zhang, J.: Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71, 37\u201347 (2015) https:\/\/doi.org\/10.1016\/j.dss.2015.01.005. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167923615000068","key":"294_CR9","DOI":"10.1016\/j.dss.2015.01.005"},{"doi-asserted-by":"publisher","unstructured":"Ferrara, E., Varol, O., Davis, C., Menczer, F., Flammini, A.: The rise of social bots. Commun. of the ACM 59,(2014). https:\/\/doi.org\/10.1145\/2818717","key":"294_CR10","DOI":"10.1145\/2818717"},{"unstructured":"Fisher, M., Cox, J.W., Hermann, P.: Pizzagate from rumor, to hashtag, to gunfire in d.c. The Washington Post (2016, (Accessed March 23, 2020)). https:\/\/www.washingtonpost.com\/local\/pizzagate-from-rumor-to-hashtag-to-gunfire-in-dc\/2016\/12\/06\/4c7def50-bbd4-11e6-94ac-3d324840106c_story.html","key":"294_CR11"},{"doi-asserted-by":"crossref","unstructured":"Fleming, M.: The use of increasingly specific user models in the design of mixed-initiative systems. In: A.Y. Tawfik, S.D. Goodwin (eds.) Advance Artificial Intelligence, pp. 434\u2013438 (2004)","key":"294_CR12","DOI":"10.1007\/978-3-540-24840-8_33"},{"doi-asserted-by":"crossref","unstructured":"Gilbert, E., Karahalios, K.: Predicting tie strength with social media. In: Proceedings of the 27th international conference on Human factors in computing systems (2009)","key":"294_CR13","DOI":"10.1145\/1518701.1518736"},{"unstructured":"Gottfried, J., Barthel, M., Mitchell, A.: Internet use. Pew Research Center (2017 (Accessed March 23, 2020))","key":"294_CR14"},{"doi-asserted-by":"publisher","unstructured":"Guo, G., Yang, E., Shen, L., Yang, X., He, X.: Discrete trust-aware matrix factorization for fast recommendation. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, pp. 1380\u20131386. International Joint Conferences on Artificial Intelligence Organization (2019). https:\/\/doi.org\/10.24963\/ijcai.2019\/191","key":"294_CR15","DOI":"10.24963\/ijcai.2019\/191"},{"unstructured":"Guo, G., Zhang, J., Sun, Z., Yorke-Smith, Librec, N.: A java library for recommender systems. In: UMAP Workshops 4, (2015)","key":"294_CR16"},{"doi-asserted-by":"crossref","unstructured":"Guo, G., Zhang, J., Yorke-Smith, N.: Trustsvd: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a029 (2015)","key":"294_CR17","DOI":"10.1609\/aaai.v29i1.9153"},{"unstructured":"Guo, G., Zhang, J., Yorke-Smith, N.: TrustSVD: Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 123\u2013129 (2015). http:\/\/dl.acm.org\/citation.cfm?id=2887007.2887025","key":"294_CR18"},{"unstructured":"Han, J., Kamber, M., Pei, J.: Data Mining: concepts and techniques, 3rd edition. Morgan Kaufmann (2011). http:\/\/hanj.cs.illinois.edu\/bk3\/","key":"294_CR19"},{"unstructured":"Hug, N.: Surprise, a Python library for recommender systems. http:\/\/surpriselib.com (2017)","key":"294_CR20"},{"doi-asserted-by":"crossref","unstructured":"Hui, P.M., Shao, C., Flammini, A., Menczer, F., Ciampaglia, G.L.: The hoaxy misinformation and fact-checking diffusion network. In: Proceedings of the 12th International AAAI Conference on Web and Social Media (2018)","key":"294_CR21","DOI":"10.1609\/icwsm.v12i1.14986"},{"issue":"1","key":"294_CR22","doi-asserted-by":"publisher","first-page":"11","DOI":"10.4304\/jsw.8.1.11-18","volume":"8","author":"D Jia","year":"2013","unstructured":"Jia, D., Zhang, F., Liu, S.: A robust collaborative filtering recommendation algorithm based on multidimensional trust model. J. Softw. 8(1), 11\u201318 (2013)","journal-title":"J. Softw."},{"unstructured":"J\u00f8sang, A., Ismail, R.: The beta reputation system. In: Proceedings of the 15th Bled Conference on Electronic Commerce (2002)","key":"294_CR23"},{"issue":"3\u20134","key":"294_CR24","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s10660-010-9056-y","volume":"10","author":"R Kerr","year":"2010","unstructured":"Kerr, R., Cohen, R.: Treet: the trust and reputation experimentation and evaluation testbed. Electron. Commer. Res. 10(3\u20134), 271\u2013290 (2010)","journal-title":"Electron. Commer. Res."},{"issue":"8","key":"294_CR25","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"doi-asserted-by":"publisher","unstructured":"Kwon, K., J., Park, Y.: Multidimensional credibility model for neighbor selection in collaborative recommendation. Expert Syst. Appl. 36(3), 7114\u20137122 (2009). https:\/\/doi.org\/10.1016\/j.eswa.2008.08.071. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417408005782","key":"294_CR26","DOI":"10.1016\/j.eswa.2008.08.071"},{"doi-asserted-by":"crossref","unstructured":"Lehtinen, V., N\u00e4s\u00e4nen, J., Sarvas, R.: \u201ca little silly and empty-headed\u201d - older adults\u2019 understandings of social networking sites 10.14236\/ewic\/HCI2009.6,(2009)","key":"294_CR27","DOI":"10.14236\/ewic\/HCI2009.6"},{"doi-asserted-by":"crossref","unstructured":"Liu, X., Datta, A., Rzadca, K., Lim, E.P.: StereoTrust: a group based personalized trust model. In: Proceedings of the 18th ACM conference on Information and knowledge management, CIKM \u201909, pp. 7\u201316 (2009)","key":"294_CR28","DOI":"10.1145\/1645953.1645958"},{"doi-asserted-by":"crossref","unstructured":"Mauro, N., Ardissono, L., Hu, Z.F.: Multi-faceted trust-based collaborative filtering. In: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, UMAP \u201919, pp. 216\u2013224 (2019)","key":"294_CR29","DOI":"10.1145\/3320435.3320441"},{"doi-asserted-by":"publisher","unstructured":"Mayer, R.C., Davis, J.H., Schoorman, F.D.: An integrative model of organizational trust. Acad. Manag. Rev. 20(3) (1995). https:\/\/doi.org\/10.2307\/258792. https:\/\/www.jstor.org\/stable\/258792","key":"294_CR30","DOI":"10.2307\/258792"},{"doi-asserted-by":"crossref","unstructured":"O\u2019Donovan, J., Smyth, B.: Trust in recommender systems. In: Proceedings of the 10th international conference on Intelligent user interfaces, pp. 167\u2013174 (2005)","key":"294_CR31","DOI":"10.1145\/1040830.1040870"},{"doi-asserted-by":"crossref","unstructured":"Ohashi, D., Cohen, R., Fu, X.: The current state of online social networking for the health community: Where trust modeling research may be of value. In: Proceedings of the 2017 International Conference on Digital Health, DH \u201917, p. 23\u201332. Association for Computing Machinery, New York, NY, USA (2017)","key":"294_CR32","DOI":"10.1145\/3079452.3079462"},{"doi-asserted-by":"publisher","unstructured":"Parmentier, A., Cohen, R.: Personalized multi-faceted trust modeling in social networks. In: C.\u00a0Goutte, X.\u00a0Zhu (eds.) Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Ottawa, ON, Canada, May 13-15, 2020, Proceedings, Lecture Notes in Computer Science, vol. 12109, pp. 445\u2013450. Springer (2020). https:\/\/doi.org\/10.1007\/978-3-030-47358-7_46","key":"294_CR33","DOI":"10.1007\/978-3-030-47358-7_46"},{"key":"294_CR34","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Thirion, V.M.B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M.: \u00c9douard Duchesnay: scikit-learn: machine learning in python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"unstructured":"Perrin, A.: Social media usage: 2005-2015. https:\/\/www.pewresearch.org\/internet\/2015\/10\/08\/social-networking-usage-2005-2015\/ (2015 (Accessed March 23, 2020))","key":"294_CR35"},{"unstructured":"Regan, K., Poupart, P., Cohen, R.: Bayesian reputation modeling in e-marketplaces sensitive to subjectivity, deception and change. In: Proceedings of the National Conference on Artificial Intelligence, vol.\u00a02 (2006)","key":"294_CR36"},{"key":"294_CR37","first-page":"321","volume-title":"Clustering Methods","author":"L Rokach","year":"2005","unstructured":"Rokach, L., Maimon, O.: Clustering Methods, pp. 321\u2013352. Springer, New York (2005)"},{"issue":"4","key":"294_CR38","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1109\/TCSS.2018.2879510","volume":"5","author":"N Sardana","year":"2018","unstructured":"Sardana, N., Cohen, R., Zhang, J., Chen, S.: A Bayesian multiagent trust model for social networks. IEEE Transac. Comput. Soc. Syst. 5(4), 995\u20131008 (2018). https:\/\/doi.org\/10.1109\/TCSS.2018.2879510","journal-title":"IEEE Transac. Comput. Soc. Syst."},{"doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Application of dimensionality reduction in recommender system-a case study. Minnesota Univ Minneapolis Dept of Computer Science, Tech. rep. (2000)","key":"294_CR39","DOI":"10.21236\/ADA439541"},{"issue":"1","key":"294_CR40","first-page":"16","volume":"43","author":"J Seely Brown","year":"2008","unstructured":"Seely Brown, J., Adler, R.: Open education, the long tail, and learning 2.0. Educause Rev. 43(1), 16\u201320 (2008)","journal-title":"Educause Rev."},{"issue":"4","key":"294_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0196087","volume":"13","author":"C Shao","year":"2018","unstructured":"Shao, C., Hui, P.M., Wang, L., Jiang, X., Flammini, A., Menczer, F., Ciampaglia, G.L.: Anatomy of an online misinformation network. PloS one 13(4), 1 (2018)","journal-title":"PloS one"},{"unstructured":"Stamos, A.: An update on information operations on Facebook. https:\/\/about.fb.com\/news\/2017\/09\/information-operations-update\/ (2017 (Accessed March 23, 2020))","key":"294_CR42"},{"unstructured":"Tong, A., Du, D.Z., Wu, W.: On misinformation containment in online social networks. In: Advances in Neural Information Processing Systems 31, pp. 341\u2013351 (2018)","key":"294_CR43"},{"key":"294_CR44","volume-title":"Multiagent systems","author":"G Weiss","year":"2013","unstructured":"Weiss, G.: Multiagent systems. MIT press, Cambridge (2013)"},{"unstructured":"Wylie, L., Patihis, L., Mcculler, L., Davis, D., Brank, E., Loftus, E., Bornstein, B.: Misinformation effect in older versus younger adults a meta-analysis and review. In: Toglia, M.P., Ross, D.F., Pozzulo, J., Pica, E. (eds.) The Elderly Eyewitness in Court, pp. 38\u201366. Psychology Press (2014)","key":"294_CR45"},{"unstructured":"Yang, B., Lei, Y., Liu, D., Liu, J.: Social collaborative filtering by trust. In: Proceedings of the Twenty-Third IJCAI International Joint Conference on Artificial Intelligence, pp. 2747\u20132753 (2013)","key":"294_CR46"},{"doi-asserted-by":"crossref","unstructured":"Yang, S., Shu, K., Wang, S., Gu, R., Wu, F., Liu, H.: Unsupervised fake news detection on social media: A generative approach. In: Proc. AAAI (2019)","key":"294_CR47","DOI":"10.1609\/aaai.v33i01.33015644"},{"key":"294_CR48","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.elerap.2008.03.001","volume":"7","author":"J Zhang","year":"2008","unstructured":"Zhang, J., Cohen, R.: Evaluating the trustworthiness of advice about seller agents in e-marketplaces: a personalized approach. Electron. Commer. Res. Appl. 7, 330\u2013340 (2008)","journal-title":"Electron. Commer. Res. Appl."}],"container-title":["International Journal of Data Science and Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-021-00294-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41060-021-00294-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41060-021-00294-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T03:39:39Z","timestamp":1674531579000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s41060-021-00294-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,22]]},"references-count":48,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["294"],"URL":"https:\/\/doi.org\/10.1007\/s41060-021-00294-w","relation":{},"ISSN":["2364-415X","2364-4168"],"issn-type":[{"type":"print","value":"2364-415X"},{"type":"electronic","value":"2364-4168"}],"subject":[],"published":{"date-parts":[[2022,1,22]]},"assertion":[{"value":"29 May 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest\/Competing interests"}},{"value":"The data set used in this work can be downloaded from(the 2019 full data set).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Availability of data and material"}},{"value":"Algorithms as explained in the paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Code availability"}}]}}