Identifying Fake News on Social Networks Based on Natural Language Processing: Trends and Challenges

نویسندگان

چکیده

The epidemic spread of fake news is a side effect the expansion social networks to circulate news, in contrast traditional mass media such as newspapers, magazines, radio, and television. Human inefficiency distinguish between true false facts exposes threat logical truth, democracy, journalism, credibility government institutions. In this paper, we survey methods for preprocessing data natural language, vectorization, dimensionality reduction, machine learning, quality assessment information retrieval. We also contextualize identification discuss research initiatives opportunities.

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ژورنال

عنوان ژورنال: Information

سال: 2021

ISSN: ['2078-2489']

DOI: https://doi.org/10.3390/info12010038