Searching for evidence of scientific news in scholarly big data

MRU Hoque, D Bradley, C Kwan, A Chiatti… - Proceedings of the 10th …, 2019 - dl.acm.org
Public digital media can often mix factual information with fake scientific news, which is
typically difficult to pinpoint, especially for non-professionals. These scientific news articles …

Sciev: Finding scientific evidence papers for scientific news

MRU Hoque, J Li, J Wu - arXiv preprint arXiv:2205.00126, 2022 - arxiv.org
In the past decade, many scientific news media that report scientific breakthroughs and
discoveries emerged, bringing science and technology closer to the general public …

NewsDeps: Visualizing the Origin of Information in News Articles

F Hamborg, P Meschenmoser, M Schubotz… - Truth and Fake in the …, 2023 - Springer
In scientific publications, citations allow readers to assess the authenticity of the presented
information and verify it in the original context. News articles, however, for various reasons …

Adapting open domain fact extraction and verification to COVID-FACT through in-domain language modeling

Z Liu, C Xiong, Z Dai, S Sun, M Sun… - Findings of the …, 2020 - aclanthology.org
With the epidemic of COVID-19, verifying the scientifically false online information, such as
fake news and maliciously fabricated statements, has become crucial. However, the lack of …

Towards Automatic Dataset Discovery From Scientific Publications

S Kumar, T Ghosal, A Ekbal - IEEE Access, 2025 - ieeexplore.ieee.org
Datasets are a crucial artifact in research, and there is always a high demand for good
datasets. Due to rapid scientific progress and exponential growth in the scientific literature …

Exploring worldwide research trends on fake news through a bibliometric and visual analysis

H Wang, Y Ge - 2024 International Conference on Asian …, 2024 - ieeexplore.ieee.org
The present study aimed to scrutinize how fake news have been explored in worldwide
scientific articles over the recent years. By employing bibliometric techniques and extracting …

Detecting target text related to algorithmic efficiency in scholarly big data using recurrent convolutional neural network model

I Safder, J Sarfraz, SU Hassan, M Ali… - International conference on …, 2017 - Springer
We are observing an exponential growth of scientific literature since the last few decades.
Tapping on the advancement of web-enabled tools and technologies, millions of articles are …

Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions

RB Yousuf, S Biswas, KK Kaushal, J Dunham… - arXiv preprint arXiv …, 2022 - arxiv.org
Understanding key insights from full-text scholarly articles is essential as it enables us to
determine interesting trends, give insight into the research and development, and build …

NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking

W Zhang, L Gui, R Procter, Y He - arXiv preprint arXiv:2305.04825, 2023 - arxiv.org
To enhance the ability to find credible evidence in news articles, we propose a novel task of
expert recommendation, which aims to identify trustworthy experts on a specific news topic …

Wikicheck: An end-to-end open source automatic fact-checking api based on wikipedia

M Trokhymovych, D Saez-Trumper - Proceedings of the 30th ACM …, 2021 - dl.acm.org
With the growth of fake news and disinformation, the NLP community has been working to
assist humans in fact-checking. However, most academic research has focused on model …