Cargando…

Media Source Characteristics Regarding Food Fraud Misinformation According to the Health Information National Trends Survey (HINTS) in China: Comparative Study

BACKGROUND: Ongoing rumors and fake news regarding food fraud, adulteration, and contamination are highly visible. Health risk information circulating through media and interpersonal communication channels has made health crisis an important research agenda. OBJECTIVE: This study explored the issue...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chang, Angela, Schulz, Peter Johannes, Jiao, Wen, Yu, Guoming, Yang, Ya
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2022
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968551/ https://www.ncbi.nlm.nih.gov/pubmed/34939565 http://dx.doi.org/10.2196/32302

Ejemplares similares

Data for understanding trust in varied information sources, use of news media, and perception of misinformation regarding COVID-19 in Pakistan
por: Ejaz, Waqas, et al.
Publicado: (2020)

Hints Regarding Children
Publicado: (1892)

Microblog credibility indicators regarding misinformation of genetically modified food on Weibo
por: Ji, Jiaojiao, et al.
Publicado: (2021)

Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business journalism
por: Wilczek, Bartosz
Publicado: (2020)

Fighting misinformation on social media using crowdsourced judgments of news source quality
por: Pennycook, Gordon, et al.
Publicado: (2019)

Role of analytical testing for food fraud risk mitigation – A commentary on implementation of analytical fraud testing: Role of analytical testing for food fraud mitigation
por: Butler, Francis, et al.
Publicado: (2021)

Trend of Narratives in the Age of Misinformation
por: Bessi, Alessandro, et al.
Publicado: (2015)

Social Media: A Pandemic of Misinformation
por: Moran, Patrick
Publicado: (2020)

COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey
por: Pickles, Kristen, et al.
Publicado: (2021)

COVID‐19 and misinformation: Is censorship of social media a remedy to the spread of medical misinformation?
por: Niemiec, Emilia
Publicado: (2020)

Deadly fraud – Food allergen substitution in the food chain
por: Walker, Michael, et al.
Publicado: (2015)

Sources of health information among U.S. cancer survivors: results from the health information national trends survey (HINTS)
por: Jackson, Inimfon, et al.
Publicado: (2020)

Examining the Dynamics of COVID-19 Misinformation: Social Media Trends, Vaccine Discourse, and Public Sentiment
por: Meghana, G. V. R., et al.
Publicado: (2023)

Food Identity, Authenticity and Fraud: The Full Spectrum
por: van Ruth, Saskia M., et al.
Publicado: (2017)

Food fraud data collection needs survey
por: Spink, John, et al.
Publicado: (2019)

Photoacoustic Laser System for Food Fraud Detection
por: Fiorani, Luca, et al.
Publicado: (2021)

Consumer Knowledge about Food Labeling and Fraud
por: Moreira, Maria João, et al.
Publicado: (2021)

Food fraud and the perceived integrity of European food imports into China
por: Kendall, H., et al.
Publicado: (2018)

Data Resource Profile: The National Cancer Institute’s Health Information National Trends Survey (HINTS)
por: Finney Rutten, Lila J, et al.
Publicado: (2020)

Hints Regarding the Utility of Tonic Treatment in Infantile Hydrocephalus
por: M'Kenzie, Wm.
Publicado: (1832)

Impact of Rumors and Misinformation on COVID-19 in Social Media
por: Tasnim, Samia, et al.
Publicado: (2020)

Is Social Media Spreading Misinformation on Exercise and Health in Brazil?
por: Marocolo, Moacir, et al.
Publicado: (2021)

The disaster of misinformation: a review of research in social media
por: Muhammed T, Sadiq, et al.
Publicado: (2022)

Prevalence of Health Misinformation on Social Media: Systematic Review
por: Suarez-Lledo, Victor, et al.
Publicado: (2021)

Applying federated learning to combat food fraud in food supply chains
por: Gavai, Anand, et al.
Publicado: (2023)

Fraud data analytics methodology: the fraud scenario approach to uncovering fraud in core business systems
por: Vona, Leonard W
Publicado: (2016)

Fraud and fraud detection: a data analytics approach
por: Gee, Sunder
Publicado: (2015)

The fraud loss for selecting the model complexity in fraud detection
por: Brant, Simon Boge, et al.
Publicado: (2022)

“Social Media Misinformation”—An Epidemic within the COVID-19 Pandemic
por: Ahmed Siddiqui, Mohammed Yaseen, et al.
Publicado: (2020)

Misinformation, manipulation, and abuse on social media in the era of COVID-19
por: Ferrara, Emilio, et al.
Publicado: (2020)

Addressing COVID-19 Misinformation on Social Media Preemptively and Responsively
por: Vraga, Emily K., et al.
Publicado: (2021)

Bots and Misinformation Spread on Social Media: Implications for COVID-19
por: Himelein-Wachowiak, McKenzie, et al.
Publicado: (2021)

Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation
por: Caled, Danielle, et al.
Publicado: (2021)

COVID-19 Misinformation on Social Media: A Scoping Review
por: Joseph, Andrew M, et al.
Publicado: (2022)

Psychological inoculation improves resilience against misinformation on social media
por: Roozenbeek, Jon, et al.
Publicado: (2022)

Fake news, disinformation and misinformation in social media: a review
por: Aïmeur, Esma, et al.
Publicado: (2023)

Misinformation about the COVID-19 Vaccine in Online Catholic Media
por: Israel-Turim, Verónica, et al.
Publicado: (2023)

Communication of COVID-19 Misinformation on Social Media by Physicians in the US
por: Sule, Sahana, et al.
Publicado: (2023)

A dataset on social media users’ engagement with religious misinformation
por: Al-Zaman, Md. Sayeed, et al.
Publicado: (2023)

Fraude procesal /
por: Cárdenas Rioseco, Raúl F.
Publicado: (2009)

Cannot write session to /tmp/vufind_sessions/sess_6953sgvd07pcbggap2b9rk6734