Alexander Porshnev

Orcid: 0000-0002-0075-1061

According to our database1, Alexander Porshnev authored at least 10 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
Testing Users' Ability to Recognize Fake News in Three Countries. An Experimental Perspective.
Proceedings of the Social Computing and Social Media: Experience Design and Social Network Analysis, 2021

Effects of Conspiracy Thinking Style, Framing and Political Interest on Accuracy of Fake News Recognition by Social Media Users: Evidence from Russia, Kazakhstan and Ukraine.
Proceedings of the Social Computing and Social Media: Experience Design and Social Network Analysis, 2021

2020
The Effects of Thinking Styles and News Domain on Fake News Recognition by Social Media Users: Evidence from Russia.
Proceedings of the Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020

2018
Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information.
Proceedings of the Social Informatics, 2018

2016
NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Using Emotional Markers' Frequencies in Stock Market ARMAX-GARCH Model.
Proceedings of the Third Workshop on Experimental Economics and Machine Learning co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016

2015
Am I Really Happy When I Write "Happy" in My Post?
Proceedings of the Supplementary Proceedings of the 4th International Conference on Analysis of Images, 2015

2014
Modelling Movement of Stock Market Indexes with Data from Emoticons of Twitter Users.
Proceedings of the Information Retrieval, 2014

Analysis of Twitter Users' Mood for Prediction of Gold and Silver Prices in the Stock Market.
Proceedings of the Analysis of Images, Social Networks and Texts, 2014

2013
Machine Learning in Prediction of Stock Market Indicators Based on Historical Data and Data from Twitter Sentiment Analysis.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013


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