Counteracting sexual and reproductive health misperceptions: Investigating the roles of stigma, misinformation exposure, and information overload

Dong, Yujie; Zhang, Lianshan; Lam, Chervin; Huang, Zhongwei

doi:10.1016/j.pec.2023.108098

Cited by 6 publications

(3 citation statements)

References 53 publications

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“…For instance, conservative political orientation was found to be associated with higher acceptance of COVID-19 misinformation compared with liberal political orientation (Xiao, 2022). When communicating information about stigmatized health topics, those stigma-aware individuals are found to display information avoidance, which encourages the belief in misinformation (Dong et al, 2024). Besides, misinformation acceptance may depend on various information-processing styles and states.…”

Section: Misinformation and Vulnerable Groupsmentioning

confidence: 94%

Misinformation and Literacies in the Era of Generative Artificial Intelligence: A Brief Overview and a Call for Future Research

Chu-Ke,

Dong

2024

Emerging Media

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Misinformation constitutes a societal practice and challenge that necessitates unwavering attention worldwide. In this essay, we discussed the theoretical advancement and empirical evidence in misinformation research, encompassing a review of definitions of misinformation, research orientations, research perspectives, and vulnerable groups. We then reviewed the misinformation fueled by generative artificial intelligence (AI) and the evolving conceptualization of literacy. To counter AI-fueled misinformation, we argue that the development of ethical AI necessitates regulations from AI practitioners and legislation, and ethical uses of AI require efforts in AI literacy education and research. The AI literacy should include (a) users’ understanding and critical evaluation of knowledge, values, and cultures within which AI systems function, and their implications on the AI-generated content, (b) users’ strategic interpretation and proper use of AI-generated content, and (c) users’ utilization of feedback mechanisms to promote institutional management of the AI power.

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Section: Misinformation and Vulnerable Groupsmentioning

confidence: 94%

Misinformation and Literacies in the Era of Generative Artificial Intelligence: A Brief Overview and a Call for Future Research

Chu-Ke,

Dong

2024

Emerging Media

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“…Wang et al 2015). The study by Dong and colleagues has shown that misinformation, myths, and stigmatization contribute to poor understanding of abortion methods, risks, and legal regulations (Dong et al 2024). The absence of accurate information can lead to negative attitudes and hinder timely access to safe and legal abortion services.…”

Section: A Glimpse Of the Literaturementioning

confidence: 99%

“…"The students lack knowledge of contraception and are not well prepared for pregnancy." (H. Wang et al 2015) "Stigma and misinformation exposure play prominent roles in the formation of SRH misperceptions" (Dong et al 2024) "Induced abortion was associated with increased odds for suicidal ideation among the unmarried female ...in China." (Luo et al 2018) "…need for policies and programs to …promote education about both family planning and abortion services among disadvantaged subgroups of women."…”

Section: Conflict Of Interestmentioning

confidence: 99%

A Qualitative Analysis of Abortion and SRH Stigma among Chinese Youth: Shedding Light on the Challenges of Sexual and Reproductive Health Education

William

2024

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This study highlights the challenges of addressing abortion stigma and misinformation among Chinese youth. The research aims to fill the identified gaps by employing a grounded theory approach to qualitatively analyze the literature on sexual reproductive health and education in China. The results are synthesized into the Stigmatization and Sexual Reproductive Health Issues (S&SRHI) framework, offering a comprehensive understanding of the factors contributing to stigma surrounding sexual and reproductive health education and services provision. The study recommends using a Peer-led intervention to disseminate accurate information, foster open dialogues, and reduce stigma, thus enhancing knowledge, attitudes, and access to abortion services, informing policy discussions, and guiding the design of effective sexual education programs. However, the study acknowledges limitations and highlights the need for future research to focus on evaluating the effectiveness of this approach and developing a more comprehensive and cultural context framework for addressing abortion stigma.

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Well-Informed or Misinformed? News-Finds-Me Perception in Shaping Sexual and Reproductive Health Knowledge and Behavioral Intentions Among Chinese Women

Zhang,

Liu,

Lam

et al. 2024

Social Science & Medicine

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Counteracting sexual and reproductive health misperceptions: Investigating the roles of stigma, misinformation exposure, and information overload

Cited by 6 publications

References 53 publications

Misinformation and Literacies in the Era of Generative Artificial Intelligence: A Brief Overview and a Call for Future Research

Misinformation and Literacies in the Era of Generative Artificial Intelligence: A Brief Overview and a Call for Future Research

A Qualitative Analysis of Abortion and SRH Stigma among Chinese Youth: Shedding Light on the Challenges of Sexual and Reproductive Health Education

Well-Informed or Misinformed? News-Finds-Me Perception in Shaping Sexual and Reproductive Health Knowledge and Behavioral Intentions Among Chinese Women

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