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Online Spatial Event Forecasting in Microblogs
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Online Spatial Event Forecasting in Microblogs (2016)Online Spatial Event Forecasting in Micro…Predicting crime using Twitter and kernel density estimation (2014)Predicting crime using Twitte…'Beating the news' with EMBERS (2014)'Beating the news' with EMBERSForecasting with twitter data (2013)Forecasting with twitter dataAutomatic Crime Prediction Using Events Extracted from Twitter Posts (2012)Automatic Crime Prediction Us…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Predicting Elections with Twi…Using Prediction Markets and Twitter to Predict a Swine Flu Pandemic (2009)Using Prediction Markets and …How fast is fast enough? Twitter usability during emergencies (2021)How fast is fast enough? Twit…Future Protest Made Risky: Examining Social Media Based Civil Unrest Prediction Research and Products (2021)Future Protest Made Risky: Ex…When Twitter Becomes a Data Source for Geospatial Analysis (2019)When Twitter Becomes a Data S…CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS (2017)CLASSIFICATION OF TRAFFIC REL…Predicting the Future with Social Media (2010)Crime prediction using Twitter sentiment and weather (2015)Opening Closed Regimes: What Was the Role of Social Media During the Arab Spring? (2015)Crime Rate Inference with Big Data (2016)Social media prediction: a literature review (2019)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)A Coefficient of Agreement for Nominal Scales (1960)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Statistical inference in vector autoregressions with possibly integrated processes (1995)Search engine marketing is not all gold: Insights from Twitter and SEOClerks (2017)Forecasting tourism demand using search query data: A hybrid modelling approach (2019)Market sentiment-aware deep reinforcement learning approach for stock portfolio allocation (2021)Crisis Early Warning and Decision Support: Contemporary Approaches and Thoughts on Future Research (2010)The Dynamics of Protest Recruitment through an Online Network (2011)The Dynamics of Protest Recruitment through an Online Network (2011)EMBERS at 4 years (2016)The dynamics of information-driven coordination phenomena: A transfer entropy analysis (2016)Artificial Intelligence for Social Good: A Survey (2020)Predicting the Present with Google Trends (2012)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)Technological forecasting and social change (1979)On the universality and cultural specificity of emotion recognition: A meta-analysis. (2002)Australian Journal of Emergency Management (2021)Citizens as sensors: the world of volunteered geography (2007)CRITICAL QUESTIONS FOR BIG DATA (2012)The spreading of misinformation online (2016)Risk Society, Towards a New Modernity (1994)Three Approaches to Qualitative Content Analysis (2005)Document Analysis as a Qualitative Research Method (2009)An Experiment in Integrating Sentiment Features for Tech Stock Prediction in Twitter (2012)Predicting movie Box-office revenues by exploiting large-scale social media content (2014)A human judgment approach to epidemiological forecasting (2017)
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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment2,649 cited
  • 2014Predicting crime using Twitter and kernel density estimation581 cited
  • 2012Automatic Crime Prediction Using Events Extracted from Twitter Posts344 cited
  • 2014'Beating the news' with EMBERS205 cited
  • 2013Forecasting with twitter data169 cited
  • 2009Using Prediction Markets and Twitter to Predict a Swine Flu Pandemic145 cited

Cited by

  • 2021Future Protest Made Risky: Examining Social Media Based Civil Unrest Prediction Research and Products30 cited
  • 2021How fast is fast enough? Twitter usability during emergencies18 cited
  • 2019When Twitter Becomes a Data Source for Geospatial Analysis4 cited
  • 2017CLASSIFICATION OF TRAFFIC RELATED SHORT TEXTS TO ANALYSE ROAD PROBLEMS IN URBAN AREAS3 cited

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