Detail publikace

Detection of Fake News Using a Machine Learning Approach

JANKOVÁ, Z. PÁLEŠ, M. POTRYKUS, M. BUICS, L.

Originální název

Detection of Fake News Using a Machine Learning Approach

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

The tremendous rise of artificial intelligence and the use of ChatGPT enables the unprecedented rapid spread of various messages. The fundamental problem at present is the spread of false, unverified news and information known as fake news. This great challenge of the modern world causes deliberate manipulation of public opinion, can contribute to the loss of value in the stock market and poses many risks on a global level.

Klíčová slova

fake news; false information; financial market; stock market; social media; SVM; ML

Autoři

JANKOVÁ, Z.; PÁLEŠ, M.; POTRYKUS, M.; BUICS, L.

Vydáno

13. 12. 2024

Nakladatel

Brno University of Technology, Faculty of Business and Management,, Czech Republic

Místo

Brno

ISSN

1802-8527

Periodikum

TRENDY EKONOMIKY A MANAGEMENTU

Ročník

42

Číslo

18

Stát

Česká republika

Strany od

81

Strany do

94

Strany počet

13

URL

https://trends.fbm.vutbr.cz/index.php/trends/article/view/686

BibTex

@article{BUT193645,
  author="Zuzana {Janková} and Michal {Páleš} and Marcin {Potrykus} and László {Buics}",
  title="Detection of Fake News Using  a Machine Learning Approach",
  journal="TRENDY EKONOMIKY A MANAGEMENTU",
  year="2024",
  volume="42",
  number="18",
  pages="81--94",
  doi="10.13164/trends.2024.42.81",
  issn="1802-8527",
  url="https://trends.fbm.vutbr.cz/index.php/trends/article/view/686"
}