假新闻识别

Q2 Social Sciences
P. Racsko
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引用次数: 2

摘要

假新闻、欺骗性信息和阴谋论是我们日常生活的一部分。真的很难区分假的和有效的信息。由于当代人从电子出版物中获得大部分信息,在许多情况下,虚假信息会严重损害人们的健康或经济状况。本文将分析最新信息技术如何帮助检测虚假信息的问题。我们的观点是,今天我们没有一个完美的解决方案来识别假新闻。鉴别真假信息的方法有很多,但没有一种是完美的。在我们看来,原因不在于算法的弱点,而在于潜在的人类和社会方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fake news identification
Fake news, deceptive information, and conspiracy theories are part of our everyday life. It is really hard to distinguish between false and valid information. As contemporary people receive the majority of information from electronic publications, in many cases fake information can seriously harm people’s health or economic status. This article will analyze the question of how up-to-date information technology can help detect false information. Our proposition is that today we do not have a perfect solution to identify fake news. There are quite a few methods employed for the discrimination of fake and valid information, but none of them is perfect. In our opinion, the reason is not in the weaknesses of the algorithms, but in the underlying human and social aspects.
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来源期刊
Society and Economy
Society and Economy Social Sciences-Sociology and Political Science
CiteScore
1.50
自引率
0.00%
发文量
26
审稿时长
28 weeks
期刊介绍: The double-blind peer-reviewed journal publishes original research articles and book reviews in the fields of economics, social sciences, and business studies, which address social and economic issues in Central and Eastern Europe or have relevance for social and economic development in this region. While it welcomes articles from the international academic community, Society and Economy seeks in particular to provide an international forum for scholars working in the research traditions of this region. The journal welcomes submissions of high-quality and multi-disciplinary articles that address social, demographic, political, economic and industrial trends and challenges. Society and Economy is a gold open access journal since 2019 but authors are not requested to pay an article processing fee.
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