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2020 – today
- 2021
[c10]Alexander Porshnev
, Alexandre Miltsov, Tetyana Lokot, Olessia Koltsova:
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. HCI (13) 2021: 341-357- [c9]Victoria Vziatysheva, Yadviga Sinyavskaya, Alexander Porshnev, Maxim Terpilovskii, Sergei Koltcov, Kirill Bryanov:
Testing Users' Ability to Recognize Fake News in Three Countries. An Experimental Perspective. HCI (13) 2021: 370-390 - 2020
- [c8]Alexander Porshnev, Alexandre Miltsov:
The Effects of Thinking Styles and News Domain on Fake News Recognition by Social Media Users: Evidence from Russia. HCI (14) 2020: 305-320
2010 – 2019
- 2018
- [c7]Alexander Porshnev:
Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information. SocInfo (2) 2018: 243-250 - 2016
- [c6]Alexander Porshnev, Valeriya Lakshina, Ilya Redkin:
Using Emotional Markers' Frequencies in Stock Market ARMAX-GARCH Model. EEML@CLA 2016: 61-72 - [c5]Nikolay Karpov, Alexander Porshnev, Kirill Rudakov:
NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library. SemEval@NAACL-HLT 2016: 171-177 - 2015
- [c4]Pavel Shashkin, Alexander Porshnev:
Am I Really Happy When I Write "Happy" in My Post? AIST (Supplement) 2015: 126-136 - 2014
- [c3]Alexander Porshnev, Ilya Redkin:
Analysis of Twitter Users' Mood for Prediction of Gold and Silver Prices in the Stock Market. AIST 2014: 190-197 - [c2]Alexander Porshnev, Ilya Redkin, Nikolay Karpov:
Modelling Movement of Stock Market Indexes with Data from Emoticons of Twitter Users. RuSSIR 2014: 297-306 - 2013
- [c1]Alexander Porshnev, Ilya Redkin, Alexey Shevchenko:
Machine Learning in Prediction of Stock Market Indicators Based on Historical Data and Data from Twitter Sentiment Analysis. ICDM Workshops 2013: 440-444
Coauthor Index
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