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Misleading information in Spanish: a survey

RL5, Publisher: Social Network Analysis and Mining, Link>


AUTHORS

Eliana Providel, Marcelo Mendoza


ABSTRACT

Misleading information spread on social networks is often supported by activists who promote this type of information and bots that amplify their visibility. The need for useful and timely mechanisms of credibility assessment in social media has become increasingly indispensable. Efforts to tackle this problem in Spanish are growing. The last years have witnessed many efforts to develop methods to detect fake news, rumors, stances, and bots on the Spanish social web. This work leads to a systematic review of the literature that relates the efforts to develop this area in the Spanish language. The work identifies pending tasks for this community and challenges that require coordination among the leading investigators on the subject.

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