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Works (16)

What Drives Perceptions of Foreign News Coverage Credibility? A Cross-National Experiment Including Kazakhstan, Russia, and Ukraine

Political Communication
2023-03-04 | Journal article
Contributors: Kirill Bryanov; Reinhold Kliegl; Olessia Koltsova; Alex Miltsov; Sergei Pashakhin; Alexander Porshnev; Yadviga Sinyavskaya; Maksim Terpilovskii; Victoria Vziatysheva
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Crossref

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

2021 | Book chapter
Contributors: Alexander Porshnev; Alex Miltsov; Tetyana Lokot; Olessia Koltsova
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Crossref

Friends Network Expansion and Reduction: Investigating the Role of Structural and Psychological Factors

2021 | Book chapter
Contributors: Yadviga Sinyavskaya; Alexander Porshnev
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Strategies for (non) Resistance in Narratives about Facing Problems: Formation of a “Subordinate Subject”

Social Psychology and Society
2021 | Journal article
Contributors: Н.К. Радина; А.В. Поршнев
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Crossref

Testing Users’ Ability to Recognize Fake News in Three Countries. An Experimental Perspective

2021 | Book chapter
Contributors: Victoria Vziatysheva; Yadviga Sinyavskaya; Alexander Porshnev; Maxim Terpilovskii; Sergey Koltcov; Kirill Bryanov
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Crossref

Кто верит в теории заговора? Факторы склонности к конспирологическому мышлению в России, Казахстане и Украине

The monitoring of public opinion economic&social changes
2021-12-30 | Journal article
Contributors: Anastasia D. Kazun; Alexander V. Porshnev
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Crossref

The Effects of Thinking Styles and News Domain on Fake News Recognition by Social Media Users: Evidence from Russia

2020 | Book chapter
Contributors: Alexander Porshnev; Alexandre Miltsov
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Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information

2018 | Book chapter
Contributors: Alexander Porshnev
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Two distinct parsing stages in nonword reading aloud: Evidence from Russian

Quarterly Journal of Experimental Psychology
2017 | Journal article
EID:

2-s2.0-84992481925

Contributors: Schmalz, X.; Porshnev, A.; Marinus, E.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

NRU-HSE at SemEval-2016 task 4: Comparative analysis of two iterative methods using quantification library

SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings
2016 | Conference paper
EID:

2-s2.0-85032945327

Contributors: Karpov, N.; Porshnev, A.; Rudakov, K.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

Using emotional markers' frequencies in stock market ARMAX-GARCH Model?

CEUR Workshop Proceedings
2016 | Conference paper
EID:

2-s2.0-84984823836

Contributors: Porshnev, A.V.; Lakshina, V.V.; Red'Kin, I.E.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

Am I really happy when I write "happy" in my post?

CEUR Workshop Proceedings
2015 | Conference paper
EID:

2-s2.0-84950115423

Contributors: Shashkin, P.; Porshnev, A.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

Modelling movement of stock market indexes with data from emoticons of twitter users

Communications in Computer and Information Science
2015 | Book
EID:

2-s2.0-84951774500

Contributors: Porshnev, A.; Redkin, I.; Karpov, N.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

Analysis of twitter users’ mood for prediction of gold and silver prices in the stock market

Communications in Computer and Information Science
2014 | Book
EID:

2-s2.0-84916242534

Contributors: Porshnev, A.; Redkin, I.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

Possible ways of applying citations network analysis to a scientific writing assistant

Springer Proceedings in Mathematics and Statistics
2014 | Conference paper
EID:

2-s2.0-84927630276

Contributors: Porshnev, A.; Kazakov, M.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier

Machine learning in prediction of stock market indicators based on historical data and data from twitter sentiment analysis

Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013
2013 | Conference paper
EID:

2-s2.0-84898047873

Contributors: Porshnev, A.; Redkin, I.; Shevchenko, A.
Source: Self-asserted source
Alexander Porshnev via Scopus - Elsevier