Research Papers Library

Linguistic and Non-Linguistic Elements in Detecting (Hungarian) Fake News

Fake news texts often show clear signs of the deceptive nature; still, they are shared by many users on Facebook. What could be the reason for this? The paper tries to answer the question by collecting the linguistic and non-linguistic characteristics of fake news. Linguistic characteristics include among others the exaggerating, sensational title, the eye-catching, tabloid-style text, the correct or incorrect use of terms, and the fake URLs imitating real websites; non-linguistic characteristics are expressive pictures often featuring celebrities, the use of all caps, excessive punctuation, and spelling mistakes. The corpus was compiled using snowball sampling: manipulative news not originating from big news portals were collected from the social networking website Facebook. The aim of the study is to identify the characteristics of Hungarian fake news in comparison to the English ones and to elaborate a system of aspects which help identify fake news.

Download PDF

airs logo

Association of Internet Research Specialists is the world's leading community for the Internet Research Specialist and provide a Unified Platform that delivers, Education, Training and Certification for Online Research.

Get Exclusive Research Tips in Your Inbox

Receive Great tips via email, enter your email to Subscribe.

Follow Us on Social Media