sciences,  therefore,  when  investigating  the 
subject  of  a  crime  –  knowingly  false 
information, it is required to take into account 
the  results  of  scientific  and  experimental 
research in various sciences. 
2.  The  reasons  and  conditions  for  the  public 
dissemination of  knowingly false  information 
and  its  repost  are  different:  from  altruism, 
ignorance of the laws and the desire to increase 
their  authority  in  the  microsocial  group  to 
selfish goals. 
3.  The  results  of  the  survey  conducted  by  the 
author  of  this  work  show  the  necessity  and 
usefulness  of  conducting  similar  surveys  on 
current  changes in  legislation among  students 
of  higher  educational  institutions,  which  is  a 
preventive criminal mean of counteracting the 
commission of criminal offenses and an object 
for scientific research. 
4.  In order to reduce cases of public dissemination 
of knowingly false information, it is necessary 
to use the experience of foreign researchers in 
placing warnings and tags for information with 
a note about its possible falsity. 
REFERENCES 
Nabiullina  Victoria,  2021.  Survey. 
https://sites.google.com/view/nvictoria 
De Oliveira, N.R.,  Pisa, P.S.,  Lopez, M.A., de Medeiros, 
D.S.V., Mattos, D.M.F., 2021. Identifying Fake News 
on  Social  Networks  Based  on  Natural  Language 
Processing:  Trends  and  Challenges.  In  Information. 
12(1). 38. pp. 1-32. 
Bogaard, G, van der Mark, J, Meijer, E.H, 2019. Detecting 
false intentions using unanticipated questions. In PLoS 
ONE. 14(12). pp. 1-14. 
Pulido, C.M., Villarejo-Carballido, B., Redondo-Sama, G., 
Gomez, A. 2020. COVID-19 infodemic: More retweets 
for science-based information on coronavirus than for 
false information. In International Sociology. 35(4). pp. 
377-392. 
Fernández-Torres, M.J., Almansa-Martínez, A., Chamizo-
Sánchez, R. 2021. Infodemic and Fake News in Spain 
during  the  COVID-19  Pandemic. In International 
Journal of Environmental Research and Public Health. 
18(4). pp. 1-13. 
Raspopova,  S.,  Bogdan,  E.,  2019.  Misinformation  as 
ignoring  professional  principles  of  journalism.  In III 
Post Mass Media in the Modern Informational Society 
(Pmmis 2019) Journalistic Text in a New Technological 
Environment: Achievements and Problems. European 
Proceedings of Social and Behavioural Sciences.  66. 
pp. 456-461. 
Greene, C.M., Murphy, G., 2020. Individual differences in 
susceptibility  to  false  memories  for  COVID-19  fake 
news.  In Cognitive Research-Principles and 
Implications. 5(1). pp. 1-8. 
Scheufele,  D.A.,  Krause,  N.M.,  2019.  Science  audiences, 
misinformation, and fake news. In Proceedings of the 
National Academy of Sciences of the United States of 
America. 116(16). pp. 7662-7669. 
Bauer,  P.C.,  von  Hohenberg,  B.C.,  2020.  Believing  and 
Sharing Information by Fake Sources: An Experiment. 
In Political Communication. pp. 1-25. 
Apuke, O.D., Omar, B., 2021. Fake news and COVID-19: 
modelling the  predictors  of  fake news  sharing  among 
social media users. In Telematics and Informatics.  V. 
56. Article number: 101475. pp. 1-32. 
Apuke, O.D., Omar, B., 2020. User motivation in fake news 
sharing during the COVID-19 pandemic: an application 
of  the  uses  and  gratification  theory.  In Online 
Information Review. 45(1). pp. 220-239. 
Radu, R., 2020. Fighting the 'Infodemic': Legal Responses 
to  COVID-19  Disinformation.  In Social Media + 
Society. 6(3). pp. 1-4. 
Tarhanov, I.A., Bikeev, I.I., Latypova, E.Y., Begishev, I.R., 
Nikitin,  S.G.,  Magometovich,  B.A.,  2020.  Pandemia 
and  Criminal  Law:  On  Criminalization  of  Socially 
Dangerous Actions in Russia. In Laplage Em Revista. 
6(A). pp. 63-68. 
Andi,  S.,  Akesson, J.,  2020.  Nudging  Away  False  News: 
Evidence from a Social Norms Experiment. In Digital 
Journalism. 9(1). pp. 106-125. 
Clayton, K., Blair, S., Busam, J.A., Forstner, S., Glance, J., 
Green, G., Kawata, A., Kovvuri, A., Martin, J., Morgan, 
et al, 2020. Real Solutions for Fake News? Measuring 
the Effectiveness of General Warnings and Fact-Check 
Tags  in  Reducing  Belief  in  False  Stories  on  Social 
Media. In Political Behavior. 42(4). pp. 1073-1095.  
Bakir, V., McStay, A., 2018. Fake News and the Economy 
of  Emotions.  Problems,  causes,  solutions.  In Digital 
Journalism. 6(2). pp. 154-175. 
Abdelminaam,  D.S.,  Ismail,  F.H.,  Taha,  M.,  Taha,  A., 
Houssein,  E.H.,  Nabil,  A.,  2021.  CoAID-DEEP:  An 
Optimized  Intelligent  Framework  for  Automated 
Detecting  COVID-19  Misleading  Information  on 
Twitter. In Ieee Access. 9. pp. 27840-27867. 
Shkabin,  G.S.,  Pleshakov,  A.M.,  Nazarov,  A.D.,  2020. 
Problems of Criminal Law Provisions in the Context of 
the COVID-19 Pandemic. In Research Technologies of 
Pandemic Coronavirus Impact (RTCOV 2020). 
ATLANTIS PRESS.