{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T21:44:03Z","timestamp":1772660643095,"version":"3.50.1"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031578526","type":"print"},{"value":"9783031578533","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-57853-3_22","type":"book-chapter","created":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T04:01:52Z","timestamp":1712635312000},"page":"263-273","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Dissecting the\u00a0Hype: A Study of\u00a0WallStreetBets\u2019 Sentiment and\u00a0Network Correlation on\u00a0Financial Markets"],"prefix":"10.1007","author":[{"given":"Kevin","family":"Wang","sequence":"first","affiliation":[]},{"given":"Bill","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Mohammad Ali","family":"Khoshkholghi","sequence":"additional","affiliation":[]},{"given":"Purav","family":"Shah","sequence":"additional","affiliation":[]},{"given":"Ranesh","family":"Naha","sequence":"additional","affiliation":[]},{"given":"Aniket","family":"Mahanti","sequence":"additional","affiliation":[]},{"given":"Jong-Kyou","family":"Kim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,10]]},"reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Alzazah, F., Cheng, X., Gao, X.: Predict market fluctuations based on the TSI and the sentiment of financial video news sites via machine learning. In: 2023 15th International Conference on Computer and Automation Engineering (ICCAE), pp. 302\u2013308. IEEE (2023)","DOI":"10.1109\/ICCAE56788.2023.10111493"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Bakshy, E., Hofman, J.M., Mason, W.A., Watts, D.J.: Everyone\u2019s an influencer: quantifying influence on twitter. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, pp. 65\u201374 (2011)","DOI":"10.1145\/1935826.1935845"},{"key":"22_CR3","unstructured":"Berri, A.: Sentimental analysis using vader (2020). https:\/\/towardsdatascience.com\/sentimental-analysis-using-vader-a3415fef7664"},{"key":"22_CR4","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s11749-016-0481-7","volume":"25","author":"G Biau","year":"2016","unstructured":"Biau, G., Scornet, E.: A random forest guided tour. TEST 25, 197\u2013227 (2016)","journal-title":"TEST"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"De\u00a0Meo, P., Ferrara, E., Fiumara, G., Provetti, A.: Generalized Louvain method for community detection in large networks. In: 2011 11th International Conference on Intelligent Systems Design and Applications, pp. 88\u201393. IEEE (2011)","DOI":"10.1109\/ISDA.2011.6121636"},{"key":"22_CR6","unstructured":"Genc, Z.: FinBERT: financial sentiment analysis with BERT (2020). https:\/\/medium.com\/prosus-ai-tech-blog\/finbert-financial-sentiment-analysis-with-bert-b277a3607101"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Glenski, M., Weninger, T.: Predicting user-interactions on reddit. In: Proceedings of the 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, pp. 609\u2013612 (2017)","DOI":"10.1145\/3110025.3120993"},{"key":"22_CR8","unstructured":"Guidi, B., Michienzi, A., Ricci, L.: Assessment of wealth distribution in blockchain online social media. IEEE Trans. Comput. Soc. Syst. (2022)"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"Guo, X., Li, J.: A novel twitter sentiment analysis model with baseline correlation for financial market prediction with improved efficiency. In: 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), pp. 472\u2013477. IEEE (2019)","DOI":"10.1109\/SNAMS.2019.8931720"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Huynh, D., Audet, G., Alabi, N., Tian, Y.: Stock price prediction leveraging reddit: the role of trust filter and sliding window. In: 2021 IEEE International Conference on Big Data (Big Data), pp. 1054\u20131060. IEEE (2021)","DOI":"10.1109\/BigData52589.2021.9671412"},{"issue":"8","key":"22_CR11","first-page":"1735","volume":"9","author":"LST Memory","year":"2010","unstructured":"Memory, L.S.T.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (2010)","journal-title":"Neural Comput."},{"key":"22_CR12","unstructured":"Noriega, L.: Multilayer perceptron tutorial. School of Computing. Staffordshire University, vol. 4, issue 5, p. 444 (2005)"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Oetama, R.S., et\u00a0al.: Sentiment analysis on official news accounts of twitter media in predicting Facebook stock. In: 2019 5th International Conference on New Media Studies (CONMEDIA), pp. 74\u201379. IEEE (2019)","DOI":"10.1109\/CONMEDIA46929.2019.8981836"},{"key":"22_CR14","unstructured":"Patil, R.: Financial news sentiment analysis using finBERT (2023). https:\/\/github.com\/Raviraj2000\/Financial-News-Sentiment-Analysis-using-FinBERT"},{"key":"22_CR15","unstructured":"Rogers, I.: The google pagerank algorithm and how it works (2002)"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Sandeep, U., Vardhan, T.V., Yaswanth, B., et\u00a0al.: Cracking the code: unleashing the power of sentiment analysis & ml for Moroccan stock market forecasting. In: 2023 8th International Conference on Communication and Electronics Systems (ICCES), pp. 1274\u20131278. IEEE (2023)","DOI":"10.1109\/ICCES57224.2023.10192697"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Sasank\u00a0Pagolu, V., Nayan Reddy\u00a0Challa, K., Panda, G., Majhi, B.: Sentiment analysis of twitter data for predicting stock market movements. arXiv e-prints arXiv:1610.09225 (2016)","DOI":"10.1109\/SCOPES.2016.7955659"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Shah, D., Isah, H., Zulkernine, F.: Predicting the effects of news sentiments on the stock market. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 4705\u20134708. IEEE (2018)","DOI":"10.1109\/BigData.2018.8621884"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"Thukral, S., et al.: Analyzing behavioral trends in community driven discussion platforms like reddit. In: 2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 662\u2013669. IEEE (2018)","DOI":"10.1109\/ASONAM.2018.8508687"},{"key":"22_CR20","doi-asserted-by":"crossref","unstructured":"Thukral, S., et al.: Understanding how social discussion platforms like reddit are influencing financial behavior. In: 2022 IEEE\/WIC\/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pp. 612\u2013619. IEEE (2022)","DOI":"10.1109\/WI-IAT55865.2022.00096"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-57853-3_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T22:44:18Z","timestamp":1731710658000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-57853-3_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031578526","9783031578533"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-57853-3_22","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"10 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kitakyushu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"38","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2024\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}