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Predictions based on Twitter — A critical view on the research process
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Predictions based on Twitter — A critical view on the research process (2014)Predictions based on Twitter — A critical…Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Is the Sample Good Enough? Co…Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API (2014)Two 1%s Don’t Make a Whole: C…Predicting crime using Twitter and kernel density estimation (2014)Predicting crime using Twitte…Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment” (2011)Why the Pirate Party Won the …Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Predicting the Political Alignment of Twitter Users (2011)Predicting the Political Alig…INVESTIGATING PREDICTIVE POWER OF STOCK MICRO BLOG SENTIMENT IN FORECASTING FUTURE STOCK PRICE DIRECTIONAL MOVEMENT (2011)INVESTIGATING PREDICTIVE POWE…How (Not) to Predict Elections (2011)How (Not) to Predict ElectionsDon't turn social media into another 'Literary Digest' poll (2011)Don't turn social media into …Predicting the Future with Social Media (2010)Predicting the Future with So…Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Predicting Elections with Twi…Reliability and Validity Assessment (1979)Reliability and Validity Asse…Riskante Retweets: „Predictive Risk Intelligence“ und Interessenvertretung in globalen Wertschöpfungsnetzwerken (2021)Riskante Retweets: „Predictiv…The political blogosphere and the 2004 U.S. election (2005)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2014)Network analysis reveals open forums and echo chambers in social media discussions of climate change (2015)The Development and Psychometric Properties of LIWC2015 (2015)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Empirical study of topic modeling in Twitter (2010)Twitter use in election campaigns: A systematic literature review (2015)Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)A Survey on Bias and Fairness in Machine Learning (2021)Computational Social Science (2009)Social Media and the Elections (2012)Emotional Dynamics in the Age of Misinformation (2015)Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field (2019)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Judgment under Uncertainty: Heuristics and Biases (1975)Bad is Stronger than Good (2001)Using Twitter to Predict the Stock Market (2015)The Interaction between Microblog Sentiment and Stock Returns: An Empirical Examination1 (2018)Using Twitter trust network for stock market analysis (2018)Predicting the Present with Google Trends (2012)Crime Rate Inference with Big Data (2016)Prediction of crime occurrence from multi-modal data using deep learning (2017)Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques (2021)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Text as Data (2019)Birds of a Feather: Homophily in Social Networks (2001)A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data (2013)Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign (2018)Metaverse: Security and Privacy Issues (2021)Comparing Twitter and Traditional Media Using Topic Models (2011)Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011)Social Media Analysis and Public Opinion: The 2010 UK General Election (2014)Misinformation, Disinformation, and Online Propaganda (2020)Social Media and Democracy (2020)A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires (1998)Use of partial least squares (PLS) in strategic management research: a review of four recent studies (1999)A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study (2003)
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References

  • 1979Reliability and Validity Assessment5,882 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment2,649 cited
  • 2010Predicting the Future with Social Media2,080 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2011Predicting the Political Alignment of Twitter Users589 cited
  • 2014Predicting crime using Twitter and kernel density estimation581 cited
  • 2011How (Not) to Predict Elections286 cited
  • 2011Why the Pirate Party Won the German Election of 2009 or The Trouble With Predictions: A Response to Tumasjan, A., Sprenger, T. O., Sander, P. G., & Welpe, I. M. “Predicting Elections With Twitter: What 140 Characters Reveal About Political Sentiment”266 cited
  • 2011INVESTIGATING PREDICTIVE POWER OF STOCK MICRO BLOG SENTIMENT IN FORECASTING FUTURE STOCK PRICE DIRECTIONAL MOVEMENT183 cited
  • 2011Don't turn social media into another 'Literary Digest' poll147 cited
  • 2014Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API69 cited

Cited by

  • 2021Riskante Retweets: „Predictive Risk Intelligence“ und Interessenvertretung in globalen Wertschöpfungsnetzwerken6 cited

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