Ketika Penyebaran Berita Palsu Melahirkan Industri Baru: Studi Kasus Drone Emprit

Rafiidha Selyna Legowo
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Abstract

The spread of disinformation caused by the anonymity and openness present in social media networks is becoming increasingly easy. The emergence of the anti-disinformation industry on social media can be actor who fights against the spread by the ability to analyze the spread of fake news using Artificial Intelligence capabilities so that it can become a new industry commodity that is excellent on social media, including Twitter. The study adopted a mixed qualitative approach to explore how Twitter users respond to the spread of disinformation as well as the rise of an anti-disinformation industry whose role as truth-checkers is emerging as an actor in countering the spread of disinformation on social media. The results of this study indicate that (1) some disinformation that occurs on Twitter causes its users need the presence of third parties to provide data-based views (2) there are values that are trying to be displayed by fact-checkers including objective, independent, transparent, and accountability (3) criticism from users on the results provided by fact-checkers. This study concludes that the emergence of a trend or phenomenon that can be consumed by all Twitter users must be accompanied by
随着虚假新闻的传播,新行业诞生了:人工智能无人机案例研究
由于社交媒体网络的匿名性和开放性,虚假信息的传播变得越来越容易。社交媒体上的反虚假信息产业的出现,可以成为利用人工智能能力分析假新闻传播的能力,与传播作斗争的演员,使其成为在Twitter等社交媒体上表现出色的新产业商品。该研究采用了混合定性方法来探索Twitter用户如何应对虚假信息的传播,以及反虚假信息行业的兴起,该行业作为真相检查者的角色正在成为打击社交媒体上虚假信息传播的参与者。本研究的结果表明:(1)Twitter上出现的一些虚假信息导致其用户需要第三方的存在来提供基于数据的观点(2)事实核查员试图展示的价值包括客观、独立、透明和问责制(3)用户对事实核查员提供的结果的批评。这项研究的结论是,一种可以被所有Twitter用户消费的趋势或现象的出现必须伴随着
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