Introduction
In this article, a thorough analysis of the relevant literature, through critical evaluation and synthesis has been made. Moreover, several major themes explaining the phenomenon of fake news have been identified. The author has proposed a theoretical framework that highlights the interrelationships of the articles and research suggestions to guide future research in this area. This source is credible, as it contains many assertions supported by quotes from the relevant literature. It is published in a scholarly journal and the author has a marketing degree. This source can be useful as it covers a given topic and provides the latest data. The article has a specific point as it explains the issue’s relevance and why there has been an increase in misinformation recently. This source confirms the words of other authors on this topic.
Discussion
This article is based on eight years of research on fake news applied to social media. It presents the main methods, textual and user characteristics, and data sets used in the literature. The article describes how to classify and identify fake news, which will also be useful in research. The researcher can apply it to find a solution for distinguishing and classifying fake news from real news. This article also corroborates the views of other authors, as it provides evidence for their arguments. The work can be considered credible because it is based on long-term observation, it is posted in a scholarly source, and the authors have a degree in the field. It proves that fake news is worldwide, and it is challenging to recognize them. Moreover, it relates to other sources as the result is supported by evidence and citations from other works. This study analyzes 87 individual publications that have been systematically selected from 1,333 candidates and this data will help to provide arguments to the paper. The data can be operated to conduct an analysis of the issue and propose solutions.
Conclusion
In this paper, the author describes an experiment that collected behavioral data from 83 users to see if they could recognize fake news. This analysis showed that users are likelier to believe news headlines that align with their political views. Headlines that challenge their opinions are ignored, and users are less likely to accept them. This source can be useful in researching the topic of misinformation in social media because it includes data from the practice. The source corroborates the opinions of other authors on this topic. It is from a scholarly journal, and the author is an expert in the field. The work can be used in this study to cite an experiment conducted as an example of people’s reactions and ability to distinguish fake news from real news. It proves that numerous individuals cannot recognize fakes, and it is a significant issue in modern society.
Works Cited
De Souza, João Victor, et al. “A Systematic Mapping on Automatic Classification of Fake News in Social Media.” Social Network Analysis and Mining, vol. 10, no. 1, 2020, pp.1-21.
Di Domenico, Giandomenico, et al. “Fake News, Social Media and Marketing: A Systematic Review.” Journal of Business Research, vol. 124, 2021, pp. 329-341.
Moravec, Patricia, Randall Minas, and Alan R. Dennis. “Fake News on Social Media: People Believe What they Want to Believe when it Makes no Sense at all.” Kelley School of Business research paper, vol. 18, no. 87, 2018, pp. 1-5.