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Predicting referendum results in the Big Data Era
10 references·1 citing·53 second hop
Predicting referendum results in the Big Data Era (2019)Predicting referendum results in the Big …Internet censorship in Turkey (2015)Internet censorship in TurkeyData-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Data-intensive applications, …Quantifying Trading Behavior in Financial Markets Using Google Trends (2013)Quantifying Trading Behavior …Can Google Trends search queries contribute to risk diversification? (2013)Can Google Trends search quer…BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era (2013)BitCoin meets Google Trends a…Predicting the Present with Google Trends (2012)Predicting the Present with G…The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)The World’s Technological Cap…Nowcasting with Google Trends in an Emerging Market (2011)Nowcasting with Google Trends…Measuring the Public Agenda using Search Engine Queries (2011)Measuring the Public Agenda u…Forecasting private consumption: survey-based indicators vs. Google trends (2011)Forecasting private consumpti…Digital Technologies as a Factor of Expanding the Investment Opportunities of Business Entities (2019)Digital Technologies as a Fac…The Coming of Post-Industrial Society: A Venture in Social Forecasting. (1974)The Information Age: Economy, Society and Culture (1999)The Nature of Technology: What it Is and How it Evolves (2009)Big data in the policy cycle: Policy decision making in the digital era (2015)The Society of Algorithms (2021)Green supply chain innovation: Emergence, adoption, and challenges (2022)A NEW MEASURE OF RANK CORRELATION (1938)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Computational Social Science (2009)The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy (2014)COVID-19, lockdowns and well-being: Evidence from Google Trends (2020)Big data: The next frontier for innovation, competition, and productivity (2011)Critical analysis of Big Data challenges and analytical methods (2016)A survey on deep learning for big data (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)On the inefficiency of Bitcoin (2016)Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions (2017)RETRACTED: Is Bitcoin a better safe-haven investment than gold and commodities? (2019)Comparing Predictive Accuracy (1994)Approximately normal tests for equal predictive accuracy in nested models (2006)Tests of Conditional Predictive Ability (2006)Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data (2016)In pursuit of an effective B2B digital marketing strategy in an emerging market (2019)Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach (2020)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Quantifying the Relationship Between Financial News and the Stock Market (2013)Daily happiness and stock returns: Some international evidence (2016)The time-varying correlation between policy uncertainty and stock returns: Evidence from China (2018)Ecological Correlations and the Behavior of Individuals (1950)Content Analysis: An Introduction to its Methodology. (1984)On the salience of political issues: The problem with ‘most important problem’ (2005)“What about building 7?” A social psychological study of online discussion of 9/11 conspiracy theories (2013)Backlash, Consensus, Legitimacy, or Polarization (2015)Tourism Demand Forecasting: A Decomposed Deep Learning Approach (2020)Manufacturing Consent: The Political Economy of the Mass Media. (1989)How Censorship in China Allows Government Criticism but Silences Collective Expression (2013)Will politics be tweeted? New media use by Iranian youth in 2011 (2013)Cross‐Country Comparison of Internet Censorship: A Literature Review (2019)Journalist Safety and Self-Censorship (2020)Government policies and attitudes to social media use among users in Turkey: The role of awareness of policies, political involvement, online trust, and party identification (2021)Testing the equality of prediction mean squared errors (1997)Consumer Confidence and Consumer Spending (2004)Google Econometrics and Unemployment Forecasting (2009)Now-Casting and the Real-Time Data Flow (2013)Forecasting Chinese tourist volume with search engine data (2014)In Search of Attention (2011)Big data in tourism research: A literature review (2018)Text as Data (2019)
this work references cited by second hop

References

  • 2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data3,046 cited
  • 2012Predicting the Present with Google Trends2,353 cited
  • 2011The World’s Technological Capacity to Store, Communicate, and Compute Information1,643 cited
  • 2013Quantifying Trading Behavior in Financial Markets Using Google Trends947 cited
  • 2013BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era859 cited
  • 2011Forecasting private consumption: survey-based indicators vs. Google trends560 cited
  • 2011Nowcasting with Google Trends in an Emerging Market286 cited
  • 2011Measuring the Public Agenda using Search Engine Queries171 cited
  • 2013Can Google Trends search queries contribute to risk diversification?126 cited
  • 2015Internet censorship in Turkey57 cited

Cited by

  • 2019Digital Technologies as a Factor of Expanding the Investment Opportunities of Business Entities17 cited

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