Michał Piksa

Michał Piksa
Polish Academy of Sciences | PAN · Institute of Pharmacology

Master of Psychology

About

3
Publications
7,803
Reads
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6
Citations
Citations since 2017
3 Research Items
6 Citations
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20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
Introduction
- Doctoral studies in the field of medicine - Psychotherapy school
Additional affiliations
October 2020 - present
Polish Academy of Sciences
Position
  • Researcher
Education
October 2020 - October 2024
Polish Academy of Sciences
Field of study
  • Medical Sciences
October 2015 - July 2020
Jagiellonian University
Field of study
  • Applied Psychology

Publications

Publications (3)
Article
Full-text available
Introduction The rise of social media users and the explosive growth in misinformation shared across social media platforms have become a serious threat to democratic discourse and public health. The mentioned implications have increased the demand for misinformation detection and intervention. To contribute to this challenge, we are presenting a s...
Article
Full-text available
Misinformation on social media poses a serious threat to democracy, sociopolitical stability, and mental health. Thus, it is crucial to investigate the nature of cognitive mechanisms and personality traits that contribute to the assessment of news items' veracity, failures in the discernment of their truthfulness, and behavioral engagement with the...
Method
Full-text available
SL-C to narzędzie do pomiaru lęku jako cechy, które można wykorzystać w badaniach on-line.

Network

Cited By

Projects

Project (1)
Project
Its main objective is to empirically investigate, from psychological, epidemiological, philosophical and computer-scientific perspectives, how misinformation spreads through online social networks, how this spread is facilitated and how it can be stopped. The project combines quantitative research methods and psychometric measurement at various levels of analyses with the use of machine learning.