Roczniki Nauk Społecznych

Annals of Social Sciences

ISSN:

0137-4176

eISSN:

2544-5812

Website:

https://ojs.tnkul.pl/index.php/rns

Publisher:

Towarzystwo Naukowe Katolickiego Uniwersytetu Lubelskiego Jana Pawła II , Katolicki Uniwersytet Lubelski Jana Pawła II w Lublinie

Disciplines
(Field of Science):

security studies (Social studies)
social communication and media studies (Social studies)
law (Social studies)
sociology (Social studies)
educational sciences (Social studies)
canon law (Social studies)
psychology (Social studies)

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Ministry points: Help

Ministry points - current year
Year	Points	List
Year 2024	70	Ministry scored journals list 2024

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Ministry points - previous years
Year	Points	List
2024	70	Ministry scored journals list 2024
2023	100	Ministry Scored Journals List
2022	70	Ministry Scored Journals List 2019-2022
2021	70	Ministry Scored Journals List 2019-2022
2020	70	Ministry Scored Journals List 2019-2022
2019	70	Ministry Scored Journals List 2019-2022
2018	13	B
2017	13	B
2016	13	B
2015	13	B
2014	8	B
2013	8	B
2012	8	B
2011	8	B
2010	9	B

Model:

Open Access

Impact Factor:

n/a

Publishing policy:

License: CC BY-NC-ND 4.0

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License

Information on publishing policy

https://ojs.tnkul.pl/index.php/rns/data

Information on the conditions of self-archiving

Included in license

Is self-archiving allowed by the journal?

Yes - with restrictions

Submitted Version Help: no
Accepted Version Help: no
Published Version Help: yes
Self-archiving places: Non-Commercial Services
Institutional Repository
Repository for Scientific Papers
Author's Homepage
Institutional Website

Information on research data policy

https://ojs.tnkul.pl/index.php/rns/data

Months of embargo

no embargo

Additional information

Must link to journal homepage with DOI.
The Authors may be asked to provide research data.

Papers published in journal

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total: 5

Year 2024

Halucynacje chatbotów a prawda: główne nurty debaty i ich interpretacje
Publication
- J. Kreft
- M. Boguszewicz-kreft
- B. Cyrek
- Roczniki Nauk Społecznych - Year 2024
Generatywne systemy sztucznej inteligencji (SI) są w stanie tworzyć treści medialne poprzez zastosowanie uczenia maszynowego do dużych ilości danych szkoleniowych. Te nowe dane mogą obejmować tekst (np. Bard firmy Google, LLaMa firmy Meta lub ChatGPT firmy OpenAI) oraz elementy wizualne (np. Stable Diffusion lub DALL-E OpenAI) i dźwięk (np. VALL-E firmy Micro- soft). Stopień zaawansowania tych treści może czynić je nieodróżnialnymi...

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