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  1. 361
    “…Despite intensive research devoted to fake text detection, studies on fake short videos that inundate the Internet are rare. …”
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    Online Artículo Texto
    Detection of fake-video uploaders on social media using Naive Bayesian model with social cues
  2. 362
    por Meesad, Phayung
    Publicado 2021
    “…Fake news is a big problem in every society. Fake news must be detected and its sharing should be stopped before it causes further damage to the country. …”
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    Online Artículo Texto
    Thai Fake News Detection Based on Information Retrieval, Natural Language Processing and Machine Learning
  3. 363
    “…We manipulated participants’ metacognitive beliefs about their memory abilities by providing fake performance feedback: below-average feedback, above-average feedback, or no feedback (control-group). …”
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    Online Artículo Texto
    From metacognitive beliefs to strategy selection: does fake performance feedback influence cognitive offloading?
  4. 364
    “…The synthetic dataset will be available as open access for researchers at OSF.io and the DeepFake generator available at the Python Package Index (PyPI) for generating synthetic ECGs. …”
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    Online Artículo Texto
    DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
  5. 365
    “…Fake news is a serious problem because it misinforms people about important issues. …”
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    Online Artículo Texto
    Individual Differences in Belief in Fake News about Election Fraud after the 2020 U.S. Election
  6. 366
    “…Misinformation has become a frightening specter of society, especially fake news that concerning Covid-19. It massively spreads on the Internet, and then induces misunderstandings of information to the national and global communities during the pandemic. …”
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    Online Artículo Texto
    Augmentation and heterogeneous graph neural network for AAAI2021-COVID-19 fake news detection
  7. 367
    por Raza, Shaina, Ding, Chen
    Publicado 2022
    “…Fake news is a real problem in today’s world, and it has become more extensive and harder to identify. …”
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    Online Artículo Texto
    Fake news detection based on news content and social contexts: a transformer-based approach
  8. 368
    “…The prevalence of pseudoscientific beliefs and fake news increased during the coronavirus crisis. …”
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    Online Artículo Texto
    Critical thinking predicts reductions in Spanish physicians' stress levels and promotes fake news detection
  9. 369
    “…In this study, we used such services to estimate the amount of fake news available and used Google Trends levels to model the spread of fake news. …”
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    Online Artículo Texto
    The Prevalence and Impact of Fake News on COVID-19 Vaccination in Taiwan: Retrospective Study of Digital Media
  10. 370
    “…An important aspect of preventing fake news spreading in social networks is to proactively detect the users that are likely going to spread such news. …”
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    Online Artículo Texto
    Fake news spreader detection using trust-based strategies in social networks with bot filtration
  11. 371
    “…One kind of this issue is Deepfakes which is the combined word of deep learning and fake. DeepFake refers to the formation of a fake image or video using artificial intelligence approaches which are created for political abuse, fake data transfer, and pornography. …”
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    Online Artículo Texto
    Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection
  12. 372
    “…Fake news detection mainly relies on the extraction of article content features with neural networks. …”
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    Online Artículo Texto
    DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection
  13. 373
    por Yildirim, Gungor
    Publicado 2022
    “…In fake news detection, intelligent optimization seems to be a more effective and explainable solution methodology than the black-box methods that have been extensively used in the literature. …”
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    Online Artículo Texto
    A novel hybrid multi-thread metaheuristic approach for fake news detection in social media
  14. 374
    “…In the first step, we used a binary classification loss function to ensure that known fake facial features generated by known GAN networks were filtered out. …”
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    Online Artículo Texto
    Deep Learning Based One-Class Detection System for Fake Faces Generated by GAN Network
  15. 375
    “…This study investigates the underlying motives for online fake news sharing during the COVID-19 pandemic, an unprecedented time that witnessed a spike in the spread of false content. …”
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    To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia
  16. 376
    “…Fake news exposure can negatively affect memory and beliefs, thus sparking debate about whether to repeat misinformation during corrections. …”
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    Online Artículo Texto
    Fake news reminders and veracity labels differentially benefit memory and belief accuracy for news headlines
  17. 377
    “…Fake news has a worldwide impact and the potential to change political scenarios and human behavior, especially in a critical time like the COVID-19 pandemic. …”
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    Online Artículo Texto
    Towards a soft three-level voting model (Soft T-LVM) for fake news detection
  18. 378
    “…This introduces substantial concerns for patient safety, particularly owing to the risk of buying fake medicines. To help reduce the risks to patient safety, it is important to understand why people buy POMs on the web in the first place. …”
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    Online Artículo Texto
    Reasons That Lead People to End Up Buying Fake Medicines on the Internet: Qualitative Interview Study
  19. 379
    por Pinamonti, M
    Publicado 2014
    “…This poster presents the estimation of non-prompt and fake lepton backgrounds developed in the context of ATLAS top analyses performed with the 8 TeV dataset. …”
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    Non-prompt and fake lepton background in top events using ATLAS 8 TeV data
  20. 380
    por Pedersen, Maiken
    Publicado 2014
    “…Since we can only hope to find SUSY if we understand the SM and the experimental environment well, the prediction of the expected overall background, including the fake leptons, is essential. Two approaches are successfully followed for the fake lepton estimation, a semi data-driven one, as implemented in a publication in Physics Lett. …”
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    Fake lepton determination, Supersymmetry searches in dilepton final states, and sharing ATLAS research with young students
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