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pro vyhledávání: '"Jurek-Loughrey, Anna"'
The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyzing their coherence. This study explores the use of topic models to an
Externí odkaz:
http://arxiv.org/abs/2012.09118
Mapper algorithm can be used to build graph-based representations of high-dimensional data capturing structurally interesting features such as loops, flares or clusters. The graph can be further annotated with additional colouring of vertices allowin
Externí odkaz:
http://arxiv.org/abs/2012.01868
Disinformation is often presented in long textual articles, especially when it relates to domains such as health, often seen in relation to COVID-19. These articles are typically observed to have a number of trustworthy sentences among which core dis
Externí odkaz:
http://arxiv.org/abs/2010.10836
Akademický článek
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Autor:
Jurek-Loughrey, Anna
Publikováno v:
International Journal of Web Information Systems, 2021, Vol. 17, Issue 6, pp. 607-621.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-05-2021-0058
Publikováno v:
In Information and Software Technology February 2021 130
Akademický článek
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Publikováno v:
In Data & Knowledge Engineering July 2019 122:181-195
Publikováno v:
Deka, P, Jurek-Loughrey, A & Padmanabhan, D 2023, ' Multiple evidence combination for fact-checking of health-related information ', Paper presented at 22nd Workshop on Biomedical Natural Language Processing and Shared Tasks 2023, Toronto, Canada, 13/07/2023-13/07/2023 .
Fact-checking of health-related claims has be- come necessary in this digital age, where any in- formation posted online is easily available to everyone. The most effective way to verify such claims is by using evidences obtained from reliable source
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2607::59fdfe51935258f746140c305a999550
https://pure.qub.ac.uk/en/publications/7affa369-2af6-4506-87db-c8718bf8fc29
https://pure.qub.ac.uk/en/publications/7affa369-2af6-4506-87db-c8718bf8fc29
Publikováno v:
Deka, P, Jurek-Loughrey, A & Padmanabhan, D 2022, ' Improved methods to aid unsupervised evidence-based fact checking for online health news ', Journal of Data Intelligence, vol. 3, no. 4, pp. 474–505 . https://doi.org/10.26421/JDI3.4-5
False information in the domain of online health related articles is of great concern, which has been witnessed abundantly in the current pandemic situation of Covid-19. Recent advancements in the field of Machine Learning and Natural Language Proces