{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T02:40:30Z","timestamp":1759891230258,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T00:00:00Z","timestamp":1746662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3717580","type":"proceedings-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T16:09:41Z","timestamp":1748016581000},"page":"2503-2511","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SparseNet: Sparse Tweet Network for Classification of Informative Posts using Graph Convolutional Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4963-156X","authenticated-orcid":false,"given":"Parul","family":"Khandelwal","sequence":"first","affiliation":[{"name":"The LNM Institute of Information Technology, Jaipur, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0644-6464","authenticated-orcid":false,"given":"Parag","family":"Rachchh","sequence":"additional","affiliation":[{"name":"The LNM Institute of Information Technology, Jaipur, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3713-561X","authenticated-orcid":false,"given":"Smit","family":"Patel","sequence":"additional","affiliation":[{"name":"The LNM Institute of Information Technology, Jaipur, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2195-0295","authenticated-orcid":false,"given":"Parshva","family":"Gang","sequence":"additional","affiliation":[{"name":"The LNM Institute of Information Technology, Jaipur, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6885-1376","authenticated-orcid":false,"given":"Preety","family":"Singh","sequence":"additional","affiliation":[{"name":"The LNM Institute of Information Technology, Jaipur, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1433-1065","authenticated-orcid":false,"given":"Rajbir","family":"Kaur","sequence":"additional","affiliation":[{"name":"The LNM Institute of Information Technology, Jaipur, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling","author":"Bansal Diksha","year":"2021","unstructured":"Diksha Bansal, Rahul Grover, Naveen Saini, and Sriparna Saha. 2021. GenSumm: A Joint Framework for Multi-task Tweet Classification and Summarization using Sentiment Analysis and Generative Modelling. IEEE Transactions on Affective Computing (2021), 1--1."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/INDICON52576.2021.9691734"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","unstructured":"Anusha Danday and T. Murthy. 2023. Twitter Data Analysis Using BERT and Graph-Based Convolution Neural Network. 155--166. hrefhttps:\/\/doi.org\/10.1007\/978-981-99-7216-613doi:nolinkurl10.1007\/978-981-99-7216-613","DOI":"10.1007\/978-981-99-7216-613nolinkurl10.1007\/978-981-99-7216-613"},{"key":"e_1_3_2_2_4_1","volume-title":"https:\/\/developer.x.com\/en\/docs\/twitter-api Retrieved","author":"Twitter","year":"2022","unstructured":"developer.x.com. [n.,d.]. Twitter API. https:\/\/developer.x.com\/en\/docs\/twitter-api Retrieved January 31, 2022 from"},{"key":"e_1_3_2_2_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01034-1"},{"key":"e_1_3_2_2_7_1","volume-title":"Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research","volume":"1296","author":"Garreau Damien","year":"2020","unstructured":"Damien Garreau and Ulrike von Luxburg. 2020. Explaining the Explainer: A First Theoretical Analysis of LIME. In Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research, Vol. 108), Silvia Chiappa and Roberto Calandra (Eds.). PMLR, 1287--1296. https:\/\/proceedings.mlr.press\/v108\/garreau20a.html"},{"key":"e_1_3_2_2_8_1","volume-title":"Informative Tweet Classification of the Earthquake Disaster Situation In Indonesia. In 5th International Conference on Computing Engineering and Design (ICCED). IEEE, 1--6.","author":"Gata Windu","year":"2019","unstructured":"Windu Gata, Fachri Amsury, Nia Wardhani, Ipin Sugiyarto, Daning Sulistyowati, and Irwansyah Saputra. 2019. Informative Tweet Classification of the Earthquake Disaster Situation In Indonesia. In 5th International Conference on Computing Engineering and Design (ICCED). IEEE, 1--6."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3501247.3531561"},{"key":"e_1_3_2_2_10_1","volume-title":"A semantic ontology infused deep learning model for disaster tweet classification. Multimedia Tools and Applications","author":"Venkata Giri Karnati Sai","year":"2023","unstructured":"Karnati Sai Venkata Giri and Gerard Deepak. 2023. A semantic ontology infused deep learning model for disaster tweet classification. Multimedia Tools and Applications (2023), 1--29."},{"key":"e_1_3_2_2_11_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-023-01025-8"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2980007nolinkurl10.1109\/TCSS.2020.2980007"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09343-1"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM50055.2020.00034"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107495"},{"key":"e_1_3_2_2_17_1","unstructured":"William G Nomikos. 2022. How Foreign Policy Crisis Shapes Public Opinion on Social Media: An Investigation of Twitter Discourse during the US Withdrawal from Afghanistan. (2022)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.23919\/MIPRO55190.2022.9803426"},{"key":"e_1_3_2_2_19_1","volume-title":"Graph Convolutional Networks for Categorizing Online Harassment on Twitter. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 946--951","author":"Saeidi Mozhgan","year":"2021","unstructured":"Mozhgan Saeidi, Evangelos Milios, and Norbert Zeh. 2021. Graph Convolutional Networks for Categorizing Online Harassment on Twitter. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 946--951."},{"key":"e_1_3_2_2_20_1","volume-title":"Sentiment analysis of tweets using text and graph multi-views learning. Knowledge and Information Systems","author":"Singh Loitongbam Gyanendro","year":"2024","unstructured":"Loitongbam Gyanendro Singh and Sanasam Ranbir Singh. 2024. Sentiment analysis of tweets using text and graph multi-views learning. Knowledge and Information Systems (2024), 1--21."},{"key":"e_1_3_2_2_21_1","unstructured":"New York Times. Oct. 7 2021. The U.S. War in Afghanistan: How It Started and How It Ended. https:\/\/www.nytimes.com\/article\/afghanistan-war-us.html. January 2023."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-023-00940-w"},{"key":"e_1_3_2_2_23_1","first-page":"2579","article-title":"Visualizing Data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing Data using t-SNE. Journal of Machine Learning Research, Vol. 9, 86 (2008), 2579--2605.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_24_1","unstructured":"Wikipedia. 14 October 2023 b. Fall of Kabul (2021). https:\/\/en.wikipedia.org\/wiki\/Fall_of_Kabul_(2021). January 2023."},{"key":"e_1_3_2_2_25_1","unstructured":"Wikipedia. 29 October 2023 a. 2021 Taliban offensive. https:\/\/en.wikipedia.org\/wiki\/2021_Taliban_offensive. January 2023."},{"key":"e_1_3_2_2_26_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research","volume":"6871","author":"Wu Felix","year":"2019","unstructured":"Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Weinberger. 2019. Simplifying Graph Convolutional Networks. In Proceedings of the 36th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 6861--6871. https:\/\/proceedings.mlr.press\/v97\/wu19e.html"},{"key":"e_1_3_2_2_27_1","volume-title":"GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. 2022 IEEE International Conference on Data Mining (ICDM), 548--557","author":"Wu Jiele","year":"2022","unstructured":"Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven R. Wilson, and Chuxu Zhang. 2022. GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. 2022 IEEE International Conference on Data Mining (ICDM), 548--557. https:\/\/api.semanticscholar.org\/CorpusID:256463411"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-024-01204-1nolinkurl10.1007\/s13278-024-01204-1"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3395046nolinkurl10.1145\/3395046"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Sydney NSW Australia","acronym":"WWW '25"},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3717580","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3717580","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T02:01:16Z","timestamp":1759888876000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3717580"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":29,"alternative-id":["10.1145\/3701716.3717580","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3717580","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}