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2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
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References

  • 1957An Economic Theory of Political Action in a Democracy3,299 cited
  • 2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment2,649 cited
  • 2000Partisanship and Voting Behavior, 1952-19961,206 cited

Cited by

  • 2019Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities510 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2023Public perceptions of environmental, social, and governance (ESG) based on social media data: Evidence from China216 cited
  • 2022How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda203 cited
  • 2020Towards automatically filtering fake news in Portuguese146 cited
  • 2016Protesting Corruption on Twitter: Is It a Bot or Is It a Person?109 cited
  • 2020Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane96 cited
  • 2019Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis55 cited
  • 2023Deep reinforcement learning for financial trading using multi-modal features46 cited
  • 2019Exploiting intra-day patterns for market shock prediction: A machine learning approach

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44 cited
  • 2022Dynamic community detection considering daily rhythms of human mobility34 cited
  • 2022User Comments in Social Media Firestorms: A Mixed-Method Study of Purpose, Tone, and Motivation34 cited
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  • 2021Fine-grained citation count prediction via a transformer-based model with among-attention mechanism32 cited
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  • 2019Activism via attention: interpretable spatiotemporal learning to forecast protest activities24 cited