Spreading of misleading information on social web platforms has fuelled huge panic and confusion among the public regarding the Corona disease, the detection of which is of paramount importance. To address this issue, in this paper, we have developed an automated system that can collect and validate the fact from multi web-platform to decide the credibility of the content. To identify the credibility of the posted claim, probable instances/clues(titles) of news information are first gathered from various web platforms. Later, the crucial set of features is retrieved that further feeds into the ensemble-based machine learning model to classify the news as misleading or real. The four sets of features based on the content, linguistics/semantic cues, similarity, and sentiments gathered from web-platforms and voting are applied to validate the news. Finally, the combined voting decides the support given to a specific claim. In addition to the validation part, a unique source platform is designed for collecting data/facts from three web platforms (Twitter, Facebook, Google) based on certain queries/words. This unique platform can also help researchers build datasets and gather useful/efficient clues from various web platforms. It has been observed that our proposed intelligent strategy gives promising results and quite effective in predicting misleading information. The proposed work provides practical implications for the policy makers and health practitioners that could be useful in protecting the world from misleading information proliferation during this pandemic.
翻译:社会网络平台上传播误导信息,引发了公众对Corona病的极大恐慌和混乱,而Corona病的检测至关重要。为了解决这一问题,我们在本文中开发了一个自动化系统,从多网络平台收集和验证事实,以确定内容的可信度;为了确定已张贴的主张的可信度,首先从各种网络平台收集新闻信息可能的事例/标题(标题)。随后,检索了一套至关重要的功能,进一步反馈到基于连环机学习模式,将新闻归类为误导或真实。基于内容、语言/语义提示、相似性以及从网络平台和投票收集的情绪的四套功能,用于验证新闻。最后,合并投票决定了对具体主张的支持。除了验证部分外,还设计了一个独特的源平台,从三个基于某些查询/词的有用网络平台(Twitter、Facebook、Google)收集数据/事实。这个独特的平台还可以帮助研究人员建立数据集,并收集基于内容、语言/语义提示、相似性以及从网络平台收集的感知效/效率战略,从而评估了我们提出的可靠、有希望的信息。在网络平台上可以提供有效的预测。它所观测到的预测,在各种预测过程中,这可以提供有希望的信息。在所观测的平台中提供有效的预测。