文章基本信息

标题：Using Social Media to Detect Fake News Information Related to Product Marketing: The FakeAds Corpus
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作者：Noha Alnazzawi ; Najlaa Alsaedi ; Fahad Alharbi 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2022
卷号：7
期号：4
页码：1-13
DOI：10.3390/data7040044
语种：English
出版社：MDPI Publishing
摘要：Nowadays, an increasing portion of our lives is spent interacting online through socialmedia platforms, thanks to the widespread adoption of the latest technology and the proliferation ofsmartphones. Obtaining news from social media platforms is fast, easy, and less expensive comparedwith other traditional media platforms, e.g., television and newspapers. Therefore, social media isnow being exploited to disseminate fake news and false information. This research aims to build theFakeAds corpus, which consists of tweets for product advertisements. The aim of the FakeAds corpusis to study the impact of fake news and false information in advertising and marketing materialsfor specific products and which types of products (i.e., cosmetics, health, fashion, or electronics) aretargeted most on Twitter to draw the attention of consumers. The corpus is unique and novel, in termsof the very specific topic (i.e., the role of Twitter in disseminating fake news related to productionpromotion and advertisement) and also in terms of its fine-grained annotations. The annotationguidelines were designed with guidance by a domain expert, and the annotation is performed by twodomain experts, resulting in a high-quality annotation, with agreement rate F-scores as high as 0.815.
关键词：social media;fake news;corpus construction;text mining