{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T05:15:14Z","timestamp":1741410914536,"version":"3.38.0"},"reference-count":44,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2024,12,29]],"date-time":"2024-12-29T00:00:00Z","timestamp":1735430400000},"content-version":"vor","delay-in-days":363,"URL":"https:\/\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.057714","type":"journal-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T02:29:53Z","timestamp":1733970593000},"page":"4551-4573","update-policy":"https:\/\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Uncovering Causal Relationships for Debiased Repost Prediction Using Deep Generative Models"],"prefix":"10.32604","volume":"81","author":[{"given":"Wu-Jiu","family":"Sun","sequence":"first","affiliation":[]},{"given":"Xiao Fan","family":"Liu","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1016\/j.chb.2023.107733","article-title":"Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China","volume":"144","author":"Luo","year":"2023, Art. no. 107733","journal-title":"Comput. Hum. Behav."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1080\/03085147.2023.2238463","article-title":"The longest second: Header bidding and the material politics of online advertising","volume":"52","author":"MacKenzie","year":"2023","journal-title":"Econ. Soc."},{"key":"ref3","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1177\/00222437221107900","article-title":"From strangers to friends: Tie formations and online activities in an evolving social network","volume":"60","author":"Ameri","year":"2023","journal-title":"J. Mark. Res."},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1016\/j.chb.2021.107080","article-title":"Predicting reposting latency of news content in social media: A focus on issue attention, temporal usage pattern, and information redundancy","volume":"127","author":"Guan","year":"Mar. 2022, Art. no. 107080","journal-title":"Comput. Hum. Behav."},{"key":"ref5","first-page":"1","article-title":"Tweet retweet prediction based on deep multitask learning","volume":"55","author":"Wang","year":"2022","journal-title":"Neural Process Lett."},{"key":"ref6","doi-asserted-by":"crossref","first-page":"2115","DOI":"10.1007\/s10115-023-02015-0","article-title":"Joint knowledge graph approach for event participant prediction with social media retweeting","volume":"66","author":"Zhang","year":"Sep. 2024","journal-title":"Knowl. Inf. Syst."},{"key":"ref7","series-title":"Proc. 47th Int. ACM SIGIR Conf. Res. Dev. Inf. Retr.","first-page":"2472","article-title":"Information diffusion prediction via cascade-retrieved in-context learning","author":"Zhong","year":"2024"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1177\/00222429221102889","article-title":"Influencer marketing effectiveness","volume":"86","author":"Leung","year":"Jun. 2022","journal-title":"J. Market."},{"key":"ref9","series-title":"Proc. ACM Web Conf.","first-page":"2195","article-title":"Unbiased sequential recommendation with latent confounders","author":"Wang","year":"2022"},{"key":"ref10","first-page":"1","article-title":"Be causal: De-biasing social network confounding in recommendation","volume":"17","author":"Li","year":"Jan. 2023","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"ref11","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","first-page":"9847","article-title":"Causal attention for vision-language tasks","author":"Yang","year":"2021"},{"key":"ref12","first-page":"13218","article-title":"Counterfactual samples synthesizing and training for robust visual question answering","volume":"45","author":"Chen","year":"Nov. 2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"11624","DOI":"10.1109\/TPAMI.2023.3284038","article-title":"Cross-modal causal relational reasoning for event-level visual question answering","volume":"45","author":"Liu","year":"Oct. 2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref14","series-title":"Proc. 27th ACM SIGKDD Conf. Knowl. Discov. Data Min.","first-page":"1791","article-title":"Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system","author":"Wei","year":"2021"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.neucom.2023.01.089","article-title":"Deconfounded recommendation via causal intervention","volume":"529","author":"Yu","year":"Jun. 2023","journal-title":"Neurocomputing"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3653985","article-title":"Deep causal reasoning for recommendations","volume":"15","author":"Zhu","year":"Oct. 2024","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1016\/j.datak.2024.102306","article-title":"Effective text classification using BERT, MTM LSTM, and DT","volume":"151","author":"Jamshidi","year":"2024, Art. no. 102306","journal-title":"Data Knowl. Eng."},{"key":"ref18","doi-asserted-by":"crossref","first-page":"135","DOI":"10.30699\/ijmm.18.3.135","article-title":"Artificial intelligence in drug discovery and development against antimicrobial resistance: A narrative review","volume":"18","author":"Ghaderzadeh","year":"2024","journal-title":"Iranian J. Med. Microbiol."},{"key":"ref19","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"13139","article-title":"Vision-and-language navigation via causal learning","author":"Wang","year":"2024"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511803161","author":"Pearl","year":"2009","journal-title":"Causality"},{"key":"ref21","first-page":"1","article-title":"Network public opinion detection during the coronavirus pandemic: A short-text relational topic model","volume":"16","author":"Jiang","year":"May 2021","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"ref22","series-title":"Proc. Int. Conf. On Comp. Sci.","first-page":"316","article-title":"Retweet prediction using social-aware probabilistic matrix factorization","author":"Jiang","year":"2018"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.111955","article-title":"Retweeting behavior prediction based on dynamic bayesian network classifier in microblogging networks","volume":"164","author":"Safari","year":"2024, Art. no. 111955","journal-title":"Appl. Soft Comput."},{"key":"ref24","doi-asserted-by":"crossref","first-page":"13219","DOI":"10.1007\/s00521-022-07174-9","article-title":"FEBDNN: Fusion embedding-based deep neural network for user retweeting behavior prediction on social networks","volume":"34","author":"Wang","year":"2022","journal-title":"Neural Comput. Appl."},{"journal-title":"ACM Multimedia","year":"2024","author":"Wang","key":"ref25"},{"key":"ref26","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"10760","article-title":"Visual commonsense R-CNN","author":"Wang","year":"2020"},{"key":"ref27","series-title":"Adv. Neural Inf. Process. Syst.","article-title":"Dags with no tears: Continuous optimization for structure learning","volume":"31","author":"Zheng","year":"2018"},{"key":"ref28","series-title":"Proc. 27th ACM SIGKDD Conf. Knowl. Discov. Data Min.","first-page":"596","article-title":"DARING: Differentiable causal discovery with residual independence","author":"He","year":"2021"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.127902","article-title":"Incorporating structural constraints into continuous optimization for causal discovery","volume":"595","author":"Wang","year":"2024, Art. no. 127902","journal-title":"Neurocomputing"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1016\/j.joi.2020.101055","article-title":"Monolingual and multilingual topic analysis using LDA and BERT embeddings","volume":"14","author":"Xie","year":"2020, Art. no. 101055","journal-title":"J. Informetr."},{"key":"ref31","series-title":"Proc. 22nd ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.","first-page":"855","article-title":"node2vec: Scalable feature learning for networks","author":"Grover","year":"2016"},{"key":"ref32","series-title":"Int. Conf. Mach. Learn.","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"Xu","year":"2015"},{"key":"ref33","unstructured":"A. Vaswani, \u201cAttention is all you need,\u201d 2017, arXiv:1706.03762."},{"key":"ref34","series-title":"Proc. 25th ACM Int. Conf. Inf. Knowl. Manage.","first-page":"75","article-title":"Retweet prediction with attention-based deep neural network","author":"Zhang","year":"2016"},{"key":"ref35","series-title":"Adv. Neural Inf. Process. Syst.","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017"},{"key":"ref36","series-title":"Proc. 25th ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.","first-page":"1007","article-title":"Learning dynamic context graphs for predicting social events","author":"Deng","year":"2019"},{"key":"ref37","series-title":"Proc. Twenty-Seventh Int. Joint Conf. Artifici. Intellig.","first-page":"3184","article-title":"Attentional image retweet modeling via multi-faceted ranking network learning","author":"Zhao","year":"2018"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1007\/s11280-020-00850-7","article-title":"Deep fusion of multimodal features for social media retweet time prediction","volume":"24","author":"Yin","year":"2021","journal-title":"World Wide Web"},{"key":"ref39","series-title":"Proc. IEEE Int. Conf. Data Min.","first-page":"1342","article-title":"Learning dynamic user interactions for online forum commenting prediction","author":"Sun","year":"2021"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2023.102362","article-title":"Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework","volume":"75","author":"Ma","year":"2023, Art. no. 102362","journal-title":"Technol. Soc."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"1194","DOI":"10.1080\/0144929X.2022.2066019","article-title":"Examining users\u2019 news sharing behaviour on social media: Role of perception of online civic engagement and dual social influences","volume":"42","author":"Bhagat","year":"2023","journal-title":"Behav. Inf. Technol."},{"key":"ref42","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.smr.2018.04.006","article-title":"Why we follow: Examining motivational differences in following sport organizations on Twitter and Weibo","volume":"22","author":"Li","year":"2019","journal-title":"Sport Manag. Rev."},{"key":"ref43","doi-asserted-by":"crossref","DOI":"10.1016\/j.csda.2022.107689","article-title":"Efficient permutation testing of variable importance measures by the example of random forests","volume":"181","author":"Hapfelmeier","year":"2023, Art. no. 107689","journal-title":"Comput. Stat. Data Anal."},{"key":"ref44","first-page":"3520","article-title":"Causal autoregressive flows","volume":"130","author":"Khemakhem","year":"2021","journal-title":"Proc. Int. Conf. Artif. Intell. Stat."}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/cmc\/v81n3\/59049\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T06:08:36Z","timestamp":1741327716000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v81n3\/59049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":44,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.057714","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-08-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-14","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-12-19","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}