<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

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

Acta Universitatis Sapientiae, Communicatio

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"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...

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

Online veröffentlicht: 29. Dez. 2017

Seitenbereich: 7 - 35

DOI: https://doi.org/10.1515/auscom-2017-0001

Schlüsselwörter
post-truth society, fake news, manipulation, social media, netlinguistics

© 2017 Ágnes Veszelszki, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 29. Dez. 2017

Seitenbereich: 7 - 35

DOI: https://doi.org/10.1515/auscom-2017-0001

Schlüsselwörterpost-truth society, fake news, manipulation, social media, netlinguistics

© 2017 Ágnes Veszelszki, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
post-truth society, fake news, manipulation, social media, netlinguistics