The danger of “fake news”: how using social media for information dissemination can inhibit the ethical decision making process

Chauhan, Rahul; Connelly, Shane; Howe, David; Soderberg, Andrew T.; Crisostomo, Marisa E.

doi:10.1080/10508422.2021.1890598

Cited by 10 publications

(11 citation statements)

References 59 publications

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“…This means that the more exposed they are to media, with social media as the main source of information, there is a decrease in their convictions toward bioethical issues. This is supported by the results of the study of Chauhan, Connelly, Howe, Soderberg and Crisostomo ( 2021 ) which revealed that perceptions on social consensus, problem recognition, and ethical sensemaking are affected by social media use. Specifically, when used as information dissemination tool, it inhibits ethical decision making among undergraduate students.…”

Section: Discussionmentioning

confidence: 61%

“…Moral awareness is the recognition of the moral dilemma which can be affected by the knowledge of an individual regarding the issue. As shown in the overall model, exposure to media has a negative contribution to convictions, thus affecting the choices of individuals during ethical decision-making as affirmed by Chauhan et al (2021) that social media use affects the perceptions on social consensus, problem recognition, and ethical sensemaking of students. Also, moral domains have been negatively affected by problematic media content (Krcmar and Locke 2020).…”

Section: Overall Model Of Students' Moral Disengagement and Convictio...mentioning

confidence: 89%

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Biology students’ convictions and moral disengagement toward bioethical issues: a path analysis

Cuaderes

Yap-Figueras

2022

International Journal of Ethics Education

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Advances in science and technology has led to the rise of different issues in relation to human life and security as well as the environment. These issues also paved the way for the field of Bioethics with its principles aiming to uphold moral standards on these issues. This study aimed to test and modify the theoretical models of the factors influencing the conviction schemas of BS Biology Bioethics students of a state university toward bioethical issues. One hundred ten (110) undergraduate students were pre-tested and post-tested for comprehension of Bioethics principles, moral disengagement, and convictions toward bioethical issues. Identified personal factors were also retrieved for testing. Results showed that the Bioethics course has increased the participants’ comprehension of Bioethics principles, moral disengagement, and convictions. Stepwise multiple regression results revealed that anxiety, extraversion, exposure to media, and moral disengagement can predict pre-convictions. On the other hand, only moral disengagement was found to predict post-convictions. Furthermore, moral disengagement can be predicted by convictions before the course while anxiety, openness to change, and convictions were the predictors after the course. The proposed theoretical model was for tested goodness of fit using Structural Equation Modeling (SEM) and acceptance was based on the model fit criteria. Since the proposed model was not found to fit the data, this was revised based on the results of multiple regression and correlation among exogenous variables. Three models were constructed and found to fit the data adequately. These models show the direct and indirect effects of personal factors and moral disengagement on convictions. The mediating effects of moral disengagement and convictions to each other were also shown. Findings further imply that the ability to understand the principles does not influence convictions, but rather moral disengagement has a greater influence on the said factor. Improving moral education by integrating Bioethics to the curriculum is recommended to further strengthen the moral judgement and reasoning of students. Supplementary Information The online version contains supplementary material available at 10.1007/s40889-022-00149-3.

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Section: Discussionmentioning

confidence: 61%

Section: Overall Model Of Students' Moral Disengagement and Convictio...mentioning

confidence: 89%

Biology students’ convictions and moral disengagement toward bioethical issues: a path analysis

Cuaderes

Yap-Figueras

2022

International Journal of Ethics Education

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“…Although studies found that social media facilitate the diffusion of fake news in Western societies (Chauhan, Connelly, Howe, Soderberg, & Crisostomo, 2021), such effects might be undermined in China because of online fact-checking platforms and the Chinese government's efforts to curb fake news (Yan et al, 2021;Zheng, 2017). Consequently, it is important to investigate whether Chinese citizens are concerned about fake news in their daily media consumption or, more generally, as a threat to Chinese society.…”

Section: Fake News In Chinamentioning

confidence: 99%

Fake news, information overload, and the third-person effect in China

Tang

Willnat

Zhang

2021

Global Media and China

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Based on a national survey of 1111 Chinese citizens, this study analyzes how exposure to fake news and perceptions of information overload are associated with the third-person effect. The findings indicate that fake news exposure correlates with perceived information overload and third-person perceptions of fake news. Respondents with higher levels of perceived information overload also report stronger third-person perceptions. In addition, Chinese respondents who believe that fake news affects others more than themselves are less likely to support stricter controls of fake news.

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“…As a vital force of network public participation, the mass demand of ordinary netizens leads to a substantial increase in network traffic. Platform media, social media, multi‐source, and multi‐channel have become essential carriers of information dissemination 1 . Compared with various scientific research and academic platforms, the depth, breadth, and speed of information dissemination in the digital network environment can better reflect the online public's enthusiasm for related things to ensure the foresight of research hot‐spots.…”

Section: Introductionmentioning

confidence: 99%

“…Platform media, social media, multi-source, and multi-channel have become essential carriers of information dissemination. 1 Compared with various scientific research and academic platforms, the depth, breadth, and speed of information dissemination in the digital network environment can better reflect the online public's enthusiasm for related things to ensure the foresight of research hot-spots. At present, obtaining hot-spot information based on networks presents diversity.…”

Section: Introductionmentioning

confidence: 99%

Relationship modeling and short‐term prediction analysis between public attention and teaching research

Zhao

Liu

et al. 2022

Engineering Reports

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Analyzing the relationship between Internet attention and teaching research can provide a reference for extracting and identifying research hot spots in the discipline. Currently, many kinds of literature obtain social hot‐spot information based on a single platform, such as the Baidu Index, China National Knowledge Infrastructure (CNKI), and Web of Science. Still, they ignore the common information reflected between the Baidu Index platform and the professional academic platform and the lack of relationship demonstration between them. Therefore, based on the CNKI database and Baidu Index platform, the most critical data statistical analysis service platform in the Internet era, this article proposes a relationship modeling and prediction framework (RMPF). First, RMPF analyzes the relationship between public attention and teaching research from the perspective of “high school information technology” by word frequency analysis and Pearson. Second, RMPF constructs the relationship model between them using leave‐one‐out cross‐validation. Third, RMPF predicts the development of subject teaching and research using the autoregressive integrated moving average model and multiple regressions. The results show that the correlation coefficient between public attention and teaching research is more than 0.65 from the perspective of “high school information technology,” showing a strong positive correlation. In recent years, the focus of high school information technology discipline tends to be integrating multimedia technology, cloud classroom, artificial intelligence, and other technologies and disciplines. In addition, discipline literature volume growth will slow in the next 2 years, with an average annual publication of 350 articles. The overall number of literature decreased by about 120 compared with 2020. Based on the proposed RMPF, this study clarifies the relationship between subject attention and teaching research through experimental demonstration and provides an implementation framework reference for researchers of relevant literature.

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The danger of “fake news”: how using social media for information dissemination can inhibit the ethical decision making process

Cited by 10 publications

References 59 publications

Biology students’ convictions and moral disengagement toward bioethical issues: a path analysis

Biology students’ convictions and moral disengagement toward bioethical issues: a path analysis

Fake news, information overload, and the third-person effect in China

Relationship modeling and short‐term prediction analysis between public attention and teaching research

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