Fake News: Is it Made for Men or Women?
DOI:
https://doi.org/10.28925/2311-2425.2023.218Keywords:
fake, gender-related news topics, fake news topics, fake news creators, fake news consumersAbstract
Fake news has become an integral part of modern life. It represents a distinct genre within news discourse, characterized by manipulation and the dissemination of deceptive information through mass media. Fake news is primarily defined by elements of 'falsehood,' 'deceit,' and 'manipulation,' which underlie its close connection with both misinformation and disinformation. Those who create fake news often tailor their content to exploit the potential interests and vulnerabilities of their target audience, including gender-related themes and stereotypes to generate heightened engagement.
This study aims to explore students' perceptions of gender-related aspects in fake news, such as the gender of fake news creators, readers, and the specific gender-related topics covered within fake news. The study involved a structured questionnaire designed to elicit responses that provide valuable insights into how fake news is perceived in connection with gender issues.
The results of the experiment highlight the participants' overall understanding of the relationship between fake news and gender. Young people generally believe that the creation of fake news is not inherently dependent on one's gender. However, some students do recognize a tendency in fake news production where female authors are seen as more involved in creating content for women, while male authors tend to target a male audience. These preferences appear to align with certain gender-related stereotypes associated with specific fake news topics. This suggests that despite the general perception of fake news as gender-neutral, stereotypical views can still influence how fake news is understood in relation to gender.
Downloads
References
Amjad, M., Zhila, A., Vitman, O. (2023). Analysis of Fake News Detection Methods. Recent Developments and the New Directions of Research, Foundations, and Applications. 423. 131–144. doi:10.1007/978-3-031-23476-7_13
Chopra, S., Verma, M. (2023). Fake Viral Vidoes: The Delusion of Infotainment. IIS.Univ.J.A. 11. 242–255.
French, A., Storey, V., Wallace, L. (2023). The Impact of Cognitive Biases on the Believability of Fake News. European Journal of Information Systems (EJIS). https://www.researchgate.net/publication/374724613_The_Impact_of_Cognitive_Biases_on_the_Believability_of_Fake_News
Ha, L., Jiang, W., Bi, C., Zhang, R., Zhang, T., & Wen, X. (2016). How online usage of subscription-based journalism and mass communication research journal articles predicts citations. Learned Publishing, 29(3), 183–192. doi:10.1002/leap.1036
Mahyoob, M., Algaraady, J., Alrahaili, M. (2021). Linguistic-Based Detection of Fake News in Social Media. International Journal of English Linguistics; 11(1). 1–11. doi:10.31235/osf.io/umr3t
Medlen, P., Medlen, J. (2022). The Art of Fake News Creation and Dissemination. Fake News & the New Social Media 2022. Hawaii: LIGS University Hawaii. https://www.researchgate.net/publication/373392346_The_Art_of_Fake_News_Creation_and_Dissemination
Murphy, B. (2011). Gender Identities and Discourse. In G. Andersen & K. Aijmer (Eds.), Pragmatics of Society. Berlin: Mouton de Gruyter. 53-77.
Plaza, A. (2023). Mitigating the Impact of Fake News on Selected College Students. International Journal of Advanced Research in Science Communication and Technology. 716–721. Doi:10.48175/IJARSCT-12200
Rohrbach, T., Aaldering, L., & Van der Pas, D. J. (2022). Gender differences and similarities in news media effects on political candidate evaluations: a meta-analysis. Journal of Communication. https://doi.org/10.1093/joc/jqac042
Strapko, N., Hempel, L., MacIlroy, K., & Smith, K. (2016). Gender Differences in Environmental Concern: Reevaluating Gender Socialization. Society & Natural Resources, 29(9), 1015–1031. doi:10.1080/08941920.2016.1138563
Trivedi, S., Jain, M., Gopalani, D., Meena, Y., Gupta, Y. (2023). Fake News Detection: A Study. Proceedings of the International Conference on Intelligent Computing, Communication and Information Security. 395–408. doi:10.1007/978-981-99-1373-2_31
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 CC BY 4.0 DEED Attribution 4.0 International
This work is licensed under a Creative Commons Attribution 4.0 International License.