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  1. 1681
    “…CONCLUSIONS: The preferred social media were those which were rapid and which safeguard privacy more effectively; neurologists made many efforts to disprove fake news circulating online, providing help to patients in various ways. …”
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    Digital work engagement among Italian neurologists
  2. 1682
    por Jankowski, Jarosław
    Publicado 2021
    “…Network members are often under pressure from incoming information with different sources, such as informative campaigns for increasing awareness, viral marketing, rumours, fake news, or the results of other activities. Messages are often repeated, and such repetition can improve performance in the form of cumulative influence. …”
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    Habituation effect in social networks as a potential factor silently crushing influence maximisation efforts
  3. 1683
    Publicado 2021
    “…As an outcome of this research study; we discovered that the major social engineering–based techniques used during the COVID-19 pandemic are phishing, scamming, spamming, smishing, and vishing, in combination with the most used socio-technical method: fake emails, websites, and mobile apps used as weapon platforms for conducting successful cyber-attacks. …”
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    A Multivocal Literature Review on Growing Social Engineering Based Cyber-Attacks/Threats During the COVID-19 Pandemic: Challenges and Prospective Solutions
  4. 1684
    “…Providers discussed patient-level challenges, which included the practice of giving fake contact information for fear of HIV-related stigmatisation, and refusal to accept HIV-positive results and to enrol in care. …”
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    ‘Making the most of our situation’: a qualitative study reporting health providers’ perspectives on the challenges of implementing the prevention of mother-to-child transmission of HIV services in Lagos, Nigeria
  5. 1685
    por V J, Sharmila, D, Jemi Florinabel
    Publicado 2021
    “…DCGAN performs two tasks: (1) generating synthetic/fake images to overcome the challenges of an imbalanced dataset and (2) extracting deep features of all images in the dataset. …”
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    Deep Learning Algorithm for COVID-19 Classification Using Chest X-Ray Images
  6. 1686
    “…False rumors (often termed “fake news”) on social media pose a significant threat to modern societies. …”
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    Online Artículo Texto
    Emotions explain differences in the diffusion of true vs. false social media rumors
  7. 1687
    “…Effects of natural alcoholposts (ie, posted by the participants) were assessed in phase 1, and effects of experimental posts (ie, posted by fake participants) were explored in phase 2. RESULTS: Results showed that natural alcoholposts increased the occurrence and quantity of drinking the following day. …”
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    Online Artículo Texto
    Causal Effects of Alcohol-Related Facebook Posts on Drinking Behavior: Longitudinal Experimental Study
  8. 1688
    “…Nature contains many examples of “fake promises” to attract “prey”, e.g., predatory spiders that emit the same sex-attractant-signals as moths to catch them at close range and male spiders that make empty silk-wrapped gifts in order to mate with a female. …”
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    Online Artículo Texto
    Nano-pesticides: the lunch-box principle—deadly goodies (semio-chemical functionalised nanoparticles that deliver pesticide only to target species)
  9. 1689
    “…RESULTS: One hundred thirty-one records were considered for the present scoping review. Production of fake PDE5i is highly lucrative and the lacking awareness of the potential health risks makes it a largely exploitable market by counterfeiters. …”
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    Facing Counterfeit Medications in Sexual Medicine. A Systematic Scoping Review on Social Strategies and Technological Solutions
  10. 1690
    “…The region uncovered by the explanation layer is cropped and undergoes a series of frequency and statistical analyses that help humans decide if the frame is real or fake. We evaluate our model in one of the most challenging datasets, the DFDC, and achieve an accuracy of 92.4%. …”
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    Deepfake forensics analysis: An explainable hierarchical ensemble of weakly supervised models
  11. 1691
    por Dodgson, Daniel B., Raymond, Jane E.
    Publicado 2022
    “…Three ERP components, P1, P3, and extended P3, were assessed for each combination of banknote type (genuine, counterfeit) and overt response (“real”, “fake”). P1 amplitude was greater for oddballs, demonstrating that the initial feedforward sweep of visual processing yields the essential information for differentiating genuine from counterfeit. …”
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    Banknote authenticity is signalled by rapid neural responses
  12. 1692
    por Boyd, Kenneth
    Publicado 2022
    “…While much has been said about the potential pitfalls of seeking information online (e.g. the prevalence of filter bubbles, echo chambers, and the overall proliferation of “fake news”), little has been said about how the nature of seeking information online should make us think about the problem of expert testimony. …”
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    Trusting scientific experts in an online world
  13. 1693
    por Shafiei, Hossein, Dadlani, Aresh
    Publicado 2022
    “…As such, these platforms are also attractive for misinformation, hoaxes, and fake news campaigns which usually utilize social trolls and/or social bots for propagation. …”
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    Online Artículo Texto
    Detection of fickle trolls in large-scale online social networks
  14. 1694
    “…Online platforms are fertile ground for the creation and spread of fake information, including misrepresentations of scientific knowledge or new discoveries (e.g., neuromyths). …”
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    What Does the General Public Know (or Not) About Neuroscience? Effects of Age, Region and Profession in Brazil
  15. 1695
    “…Study 2, which applied a between-subject design, showed that CS was predicted by four kinds of everyday counterfeit behavior (backstabbing, fake listening, plagiarism, and religious hypocrisy). …”
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    How Everyday Counterfeit Behavior That Disrupts Self Authenticity Might Lead to Corruption Tendencies
  16. 1696
    “…During the coronavirus global pandemic crisis, we have received information from authentic and inauthentic sources. Fake news, continuous rumors, and prejudiced opinions from digital platforms and social media have the capacity to disrupt social harmony, to stall personal development, and to undermine trust on all levels of human interaction. …”
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    Online Artículo Texto
    Twelve Agendas on Interacting with Information: A Human-Engaged Computing Perspective
  17. 1697
    por Durmaz, Nihal, Hengirmen, Engin
    Publicado 2022
    “…Social media use increased worldwide, as well as in Turkey, during the pandemic, and conspiracy theories/fake news about medical complications of vaccines spread throughout the world. …”
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    The dramatic increase in anti-vaccine discourses during the COVID-19 pandemic: a social network analysis of Twitter
  18. 1698
    “…A positive pair contains a question and a genuine answer, while a negative one includes a question and a fake answer. The output should be one for positive and zero for negative pairs. …”
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    RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
  19. 1699
    “…However, many Internet users have also used it to spread misinformation, commonly referred to as “fake news.” The spread of misinformation can lead to detrimental effects on the infrastructure of healthcare and society. …”
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    Online Artículo Texto
    COVID-19 Misinformation on Social Media: A Scoping Review
  20. 1700
    por Qian, Kun, Li, Xiaohui
    Publicado 2022
    “…In the algorithm, We reach the purpose of protecting user personal privacy by replace the original trajectory into a fake track trace that is the lowest degree of similarity in the interval. …”
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    Online Artículo Texto
    LBS user location privacy protection scheme based on trajectory similarity
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