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When Can Social Media Lead Financial Markets?

https://doi.org/10.1038/srep04213
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21/21 checkable references clean · checked 2026-08-29

Every reference with a DOI 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.

5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 21 checked references that resolve
resolves10.1016/j.bushor.2011.01.005
Social media? Get serious! Understanding the functional building blocks of social media
resolves10.1016/j.intmar.2012.01.003
Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing
resolves10.1109/WI-IAT.2010.63
Predicting the Future with Social Media
resolves10.1609/icwsm.v4i1.14031
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series
resolves10.1016/j.jocs.2010.12.007
Twitter mood predicts the stock market
resolves10.1016/j.sbspro.2011.10.562
Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”
resolves10.1145/2392622.2392634
Correlating S&P 500 stocks with Twitter data
resolves10.1145/2124295.2124358
Correlating financial time series with micro-blogging activity
resolves10.1038/srep01684
Quantifying Trading Behavior in Financial Markets Using Google Trends
resolves10.2139/ssrn.2310621
Predicting Financial Markets with Google Trends and Not so Random Keywords
resolves10.1098/rsta.2010.0284
Complex dynamics of our economic life on different scales: insights from search engine query data
resolves10.1371/journal.pone.0040014
Web Search Queries Can Predict Stock Market Volumes
resolves10.1038/srep01801
Quantifying Wikipedia Usage Patterns Before Stock Market Moves
resolves10.1007/s11579-012-0078-1
Informational inefficiency in financial markets
resolves10.1371/journal.pone.0026705
Tracking Traders' Understanding of the Market Using e-Communication Data
resolves10.1145/2479787.2479811
Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from Twitter
resolves10.1002/asi.21416
Sentiment strength detection in short informal text
resolves10.1002/asi.21662
Sentiment strength detection for the social web
resolves10.1016/j.physa.2004.06.144
Mutual information: a measure of dependency for nonlinear time series
resolves10.1080/01621459.1926.10502161
The Choice of a Class Interval
resolves10.3390/e16042309
Measures of Causality in Complex Datasets with Application to Financial Data
The 5 references without a DOI — listed, not checked
no DOI — not checkedMislove, A., Lehmann, S., Ahn, Y.-Y., Onnela, J.-P. & Rosenquist, J. N. Understanding the Demographics of Twitter Users. Paper presented at the Fifth International AAAI Conference on Weblogs and Social Media, Barcelona, Spain. Menlo Park, CA, USA: The AAAI Press. (2011 July).
no DOI — not checkedGrossman, S. J. & Stiglitz, J. E. On the Impossibility of Informationally Efficient Markets. Am. Econ. Rev. 70, 393–408 (1980).
no DOI — not checkedMacQueen, J. B. Some Methods for Classification and Analysis of MultiVariate Observations. Paper presented at the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, CA, USA. Berkeley, CA, USA: University of California Press. (1965 June).
no DOI — not checkedD'Souza, S. Brandirectory Global 500 2013 Top Brands. Brandirectory (2013). Available at: http://brandirectory.com/league_tables/table/global-500-2013. Accessed: 29/Oct/2013.
no DOI — not checkedWood, R., Zheludev, I. & Treleaven, P. Mining Social Data with UCL's Social Media Platform. Paper presented at the 2012 International Conference on Data Mining, Las Vegas, NV, USA. Las Vegas, NV, USA: CSREA Press. (2012 July).
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. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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