Machine Learning in Prediction of Stock Market Indicators Based on Historical Data and Data from Twitter Sentiment Analysis. - Alexander Porshnev; Ilya Redkin; Alexey Shevchenko (ICDM Workshops, 2013)

Analysis of Twitter Users' Mood for Prediction of Gold and Silver Prices in the Stock Market. - Alexander Porshnev; Ilya Redkin (AIST, 2014)

Modelling Movement of Stock Market Indexes with Data from Emoticons of Twitter Users. - Alexander Porshnev; Ilya Redkin; Nikolay Karpov (RuSSIR, 2014)

Am I Really Happy When I Write "Happy" in My Post? - Pavel Shashkin; Alexander Porshnev (AIST (Supplement), 2015)

Using Emotional Markers' Frequencies in Stock Market ARMAX-GARCH Model. - Alexander Porshnev; Valeriya Lakshina; Ilya Redkin (EEML@CLA, 2016)

NRU-HSE at SemEval-2016 Task 4: Comparative Analysis of Two Iterative Methods Using Quantification Library. - Nikolay Karpov; Alexander Porshnev; Kirill Rudakov (SemEval@NAACL-HLT, 2016)

Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information. - Alexander Porshnev (SocInfo (2), 2018)

The Effects of Thinking Styles and News Domain on Fake News Recognition by Social Media Users: Evidence from Russia. - Alexander Porshnev; Alexandre Miltsov (HCI (14), 2020)

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. - Alexander Porshnev; Alexandre Miltsov; Tetyana Lokot; Olessia Koltsova (HCI (13), 2021)

Testing Users' Ability to Recognize Fake News in Three Countries. An Experimental Perspective. - Victoria Vziatysheva; Yadviga Sinyavskaya; Alexander Porshnev; Maxim Terpilovskii; Sergei Koltcov; Kirill Bryanov (HCI (13), 2021)

Modeling Implicit Attitudes with Natural Language Data: A Comparison of Language Models. - Alexander Porshnev; Kevin Dirk Kiy; Diarmuid P. O'Donoghue; Manokamna Singh; Cai Wingfield; Dermot Lynott (AICS, 2024)