{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T05:51:34Z","timestamp":1781761894318,"version":"3.54.5"},"reference-count":27,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3700831","type":"journal-article","created":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T19:40:18Z","timestamp":1780688418000},"page":"88558-88565","source":"Crossref","is-referenced-by-count":0,"title":["AI-Enhanced Financial NLP for Bitcoin Return Variation Prediction: Timestamp-Aware Evidence From Trump\u2019s Tweets"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6930-236X","authenticated-orcid":false,"given":"Liang","family":"Hu","sequence":"first","affiliation":[{"name":"Department of Computer Science, Columbia University, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5523-4156","authenticated-orcid":false,"given":"Yinru","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Florida State University, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1016\/j.dss.2021.113577","article-title":"Do president trump\u2019s tweets affect financial markets?","volume":"147","author":"Gjerstad","year":"2021","journal-title":"Decis. Support Syst."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2022.101681"},{"key":"ref3","article-title":"An analysis of the impact of president trump\u2019s tweets on the djia and S&P 500 using machine learning and sentiment analysis","volume":"29","author":"Kinyua","year":"2021","journal-title":"J. Behav. Experim. Finance"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"106491","DOI":"10.1016\/j.frl.2024.106491","article-title":"Impacts of donald trump\u2019s tweets on volatilities in the European stock markets","volume":"72","author":"Nishimura","year":"2025","journal-title":"Finance Res. Lett."},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1016\/j.asieco.2020.101267","article-title":"Trump\u2019s effect on the Chinese stock market","volume":"72","author":"Guo","year":"2021","journal-title":"J. Asian Econ."},{"key":"ref6","article-title":"Does Bitcoin react to trump\u2019s tweets?","volume":"31","author":"Huynh","year":"2021","journal-title":"J. Behav. Experim. Finance"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jebo.2021.02.002"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1016\/j.frl.2023.104283","article-title":"Did donald trump\u2019s tweets on sino\u2013U.S. trade affect the offshore RMB exchange rate?","volume":"58","author":"Zhou","year":"2023","journal-title":"Finance Res. Lett."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.frl.2023.103641"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.qref.2019.09.011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bar.2025.101682"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/irfi.12339"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1016\/j.intfin.2020.101188","article-title":"The predictive power of public Twitter sentiment for forecasting cryptocurrency prices","volume":"65","author":"Kraaijeveld","year":"2020","journal-title":"J. Int. Financial Markets, Institutions Money"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1108\/GKMC-09-2021-0154"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/math9151794"},{"key":"ref16","article-title":"FinBERT: A pretrained language model for financial communications","author":"Yang","year":"2020","journal-title":"arXiv:2006.08097"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3701716.3715235"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2025.113179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3584243"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3768292.3770403"},{"key":"ref21","volume-title":"The Trump Archive","year":"2025"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-017-9588-9"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1037\/h0057532"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-022-00561-y"},{"key":"ref26","volume-title":"Historical Hourly OHLCV Data API","year":"2024"},{"key":"ref27","article-title":"A predictive analytics approach for forecasting global stock index returns using deep learning techniques","volume":"18","author":"Hu","year":"2026","journal-title":"Decis. Analytics J."}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11552617.pdf?arnumber=11552617","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T04:56:17Z","timestamp":1781758577000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11552617\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3700831","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}