Reference health
A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19
23/23 checkable references clean · checked 2026-10-15
Every reference with a DOI or an arXiv id in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
16 with no DOI or arXiv id: not checked. A reference deposited without a DOI is checked only when it names an arXiv id, under that id’s DataCite DOI. The rest are never matched by title or guessed at; they stay outside the checked set, and this line says so.
The 23 checked references that resolve
resolves10.1016/j.frl.2020.101607
Safe haven or risky hazard? Bitcoin during the Covid-19 bear market
resolves10.3389/fphy.2020.00296
Grandpa, Grandpa, Tell Me the One About Bitcoin Being a Safe Haven: New Evidence From the COVID-19 Pandemic
resolves10.2139/ssrn.3564443
The Contagion Effects of the COVID-19 Pandemic: Evidence from Gold and Cryptocurrencies
resolves10.1016/j.chaos.2020.109936
The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets
resolves10.2139/ssrn.3565844
When Bitcoin Has the Flu: On Bitcoin’s Performance to Hedge Equity Risk in the Early Wake of the COVID-19 Outbreak
resolves10.2139/ssrn.3597144
Co-Movement of COVID-19 and Bitcoin: Evidence from Wavelet Coherence Analysis
resolves10.2139/ssrn.3586511
The Effects of a 'Black Swan' Event (COVID-19) on Herding Behavior in Cryptocurrency Markets: Evidence from Cryptocurrency USD, EUR, JPY and KRW Markets
resolves10.1016/j.frl.2020.101597
Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe
resolves10.1109/IC3.2018.8530659
Forecasting Price of Cryptocurrencies Using Tweets Sentiment Analysis
resolves10.1016/j.eswa.2018.06.022
A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis
resolves10.3390/jrfm13090189
Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables
resolves10.1108/00220410410560573
A statistical interpretation of term specificity and its application in retrieval
resolves10.1016/j.eswa.2016.03.028
Classification of sentiment reviews using n-gram machine learning approach
resolves10.1080/03081079.2017.1291635
A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation)
resolves10.1016/j.intfin.2020.101188
The predictive power of public Twitter sentiment for forecasting cryptocurrency prices
resolves10.3389/fphy.2019.00098
Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model
resolves10.1109/BigData47090.2019.9006554
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments
resolves10.1109/TBDATA.2020.2996401
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19
resolves10.3390/bdcc3010010
Modelling Early Word Acquisition through Multiplex Lexical Networks and Machine Learning
resolves10.3390/bdcc3020030
Mapping Distributional Semantics to Property Norms with Deep Neural Networks
The 16 references with no DOI or arXiv id, listed, not checked
no DOI — not checkedHutto, C.J. (2020, July 24). VADER-Sentiment-Analysis, GitHub. Available online: https://github.com/cjhutto/vaderSentiment.
no DOI — not checkedMikolov, T., Chen, K., Corrado, G., and Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space. arXiv.
no DOI — not checkedHutto, C.J., and Gilbert, E. (2020, July 24). VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text. Available online: https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109.
no DOI — not checkedStenqvist, E., and Lönnö, J. (2017). Predicting Bitcoin Price Fluctuation with Twitter Sentiment Analysis. [Bachelor’ Thesis, School of Computer Science and Communication (CSC), KTH].
no DOI — not checkedKaplan, C., Aslan, C., and Bulbul, A. (2020, May 20). Cryptocurrency Word-of-Mouth Analysis via Twitter, ResearchGate. Available online: https://www.researchgate.net/publication/327988035_Cryptocurrency_Word-of-Mouth_Analysis_viaTwitter.
no DOI — not checkedRosen, A. (2020, July 24). Tweeting Made Easier, Twitter. Available online: https://blog.twitter.com/en_us/topics/product/2017/tweetingmadeeasier.html.
no DOI — not checked(2020, May 19). The Twitter Rules, Twitter. Available online: https://help.twitter.com/en/rules-and-policies/twitter-rules.
no DOI — not checked(2020, May 19). Automation rules, Twitter. Available online: https://help.twitter.com/en/rules-and-policies/twitter-automation.
no DOI — not checked(2020, May 19). Tweepy. Available online: http://www.tweepy.org/.
no DOI — not checked(2020, July 24). Counting Characters, Twitter. Available online: https://developer.twitter.com/en/docs/basics/counting-characters.
no DOI — not checked(2020, July 24). Search Tweets-Overview-Search API, Twitter. Available online: https://developer.twitter.com/en/docs/tweets/search/overview/standard.
no DOI — not checked(2020, July 24). Search Tweets-API Reference-Standard search API, Twitter. Available online: https://developer.twitter.com/en/docs/tweets/search/api-reference/get-search-tweets.
no DOI — not checked(2020, July 24). Choose Your Plan, CryptoCompare. Available online: https://min-api.cryptocompare.com/pricing.
no DOI — not checkedHutto, C.J. (2020, July 24). vaderSentiment/vaderSentiment/vader_lexicon.txt, GitHub. Available online: https://github.com/cjhutto/vaderSentiment/blob/master/vaderSentiment/vader_lexicon.txt.
no DOI — not checked(2020, July 24). “5. Built-in Types”—Python 2.7.18 Documentation. Available online: https://docs.python.org/2/library/stdtypes.html.
no DOI — not checkedHutto, C.J. (2020, July 24). vaderSentiment/vaderSentiment/vaderSentiment.py, GitHub. Available online: https://github.com/cjhutto/vaderSentiment/blob/master/vaderSentiment/vaderSentiment.py.
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. If Crossref’s record marks the work itself
retracted, withdrawn, or removed, the badge says so instead of showing clean. It says nothing
about the quality, findings, or importance of the work itself, and nothing about references
with neither a DOI nor an arXiv id.
checked 2026-10-15 — re-checked at most once a day, when someone opens this page, so the date shown is the last check; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge shows the date of its last check, which runs at most once a day, when someone opens this page.
<a href="https://citestamp.com/citestamped/10.3390/bdcc4040033"><img src="https://citestamp.com/citestamped/10.3390/bdcc4040033/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.3390/bdcc4040033)