错误信息在社交媒体上的传播:一个有见地的限制对策

Jamal Abdul Nasir Ansari, M. Azhar, Mohd Junaid Akhtar
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引用次数: 3

摘要

在过去的几十年里,社交媒体上的错误信息这个词在公开布道中得到了极大的关注。这篇研究文章探讨了社交媒体上错误信息的增长趋势,它如何影响人们,并规定了有见地的措施来对抗社交媒体上错误信息的传播。对三个数据库采用系统文献综述法(SLR);谷歌学者;Scopus, Web of Science,跟踪关键词;“错误信息”、“虚假信息”和“社交媒体”。最终共找到34篇适合本研究的文章。这项研究证实,自我动机和竞选活动是社交媒体上错误信息的主要原因。这项研究表明,机器可以在一定程度上检测假新闻,但不能完全依赖机器。人为干预在识别错误信息方面同样重要。此外,还提出了一个有效的概念模型来对抗社交媒体上的错误信息传播
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The spread of Misinformation on social media: An insightful countermeasure to restrict
The term misinformation on social media has got significant attention in public sermons over the last few decades. This research article explores the growing tendency of misinformation on social media, how it influences people and prescribes insightful measures to counter the spreading of misinformation on social media. Systematic Literature Review (SLR) was employed on the three databases; Google Scholar; Scopus, Web of Science, following keywords; "misinformation", "disinformation", and "social media". A total of 34 articles were finally found suitable for the study. This study confirmed that self-motive and election campaigns are the major causes of misinformation on social media. This study manifested that machines can detect fake news to some extent but cannot be relied upon solely. Human intervention is equally important in identifying misinformation. Moreover, an efficient conceptual model has been proposed to counter the misinformation spread on social media
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