| Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
|
|
|---|---|---|
| Article Number | 04054 | |
| Number of page(s) | 9 | |
| Section | Environmental Education and Digital Solutions. Environmentally Responsible Behavior | |
| DOI | https://doi.org/10.1051/e3sconf/202236304054 | |
| Published online | 14 December 2022 | |
Teaching earth science students to recognize communicative intent in media headlines: clickbait phenomenon
1 Southern Federal University, 44, Nekrasovky Lane, Taganrog, 347922, Russia
2 University of Toledo, 2801, Bancroft Street, Toledo, OH 43606, USA
* Corresponding author: privalovatyu@sfedu.ru
This paper examines ways of teaching Earth science students techniques to recognize manipulative clickbait in the online versions of American newspapers. The study presents an analysis of headlines in the online versions of the newspaper aiming to determine the specificities of the use of clickbait and to further classify the techniques through which it is employed. The analyzed data was collected from the Sports and Business sections of the 2021 online issues of the New York Times and the Washington Post. The frequency of clickbait use was found in each of the newspapers in general and in each of the studies section in particular. The analysis resulted in the classification of the techniques of achieving the clickbait effect. The individual characteristics of the journalists’ styles of the newspapers under study was further investigated. The quantitative analysis revealed varying amounts of clickbait in the headlines of the online newspapers.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.