From Social Media to Mainstream News: The Information Flow of the Vaccine-Autism Controversy in the US, Canada, and the UK

Jang, S. Mo; McKeever, Brooke Weberling; McKeever, Robert; Kim, Joon Kyoung

doi:10.1080/10410236.2017.1384433

Cited by 99 publications

(54 citation statements)

References 44 publications

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“…Social media often involve the spread of inaccurate information [5]. Misinformation is more rapidly disseminated through social media when there is high uncertainty and high demand for public information about the issues, such as health concerns [6]. In fact, various fake news stories related to food functions have circulated on LINE in Taiwan.…”

Section: Resultsmentioning

confidence: 99%

“…According to the resource exchange theory, exchange refers to transferring resources or messages between two or more social units [4]. However, social media often involve the spread of inaccurate information [5], and misinformation is more rapidly disseminated through social media than through other media when there is high uncertainty and high demand for public information about issues such as health concerns [6]. Examples of such healthrelated misinformation include the beliefs that a steak-only diet can beat arthritis and carrot juice cures cancer.…”

Section: Introductionmentioning

confidence: 99%

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The Replication and Spread of Functional Food Messages: The Influence of Personalities on Internet Meme Behavior

Hong¹,

Tai²

2021

Fake News Is Bad News - Hoaxes, Half-Truths and the Nature of Today's Journalism

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The term Internet memes was coined to describe the phenomenon of replicating and spreading messages via social media. This study explores individual personality traits in relation to Internet meme behavior in the context of online news about functional foods based on the expectancy-confirmation process, and also the correlates between value perception and consequential behavior. An online convenience sample was used to collect data by posting on LINE, the instant communication tool, and a total of 343 questionnaires were returned, 252 valid questionnaires were used for structural equation modeling and hypothesis verification. The results found that: (1) Neuroticism was positively related and Extraversion was negatively related to value expectation for consuming functional foods; (2) The food value for health expectation participants can predict replication and usage satisfaction; (3) The usage satisfaction and replicative behavior can predict the frequency of spread messages. The results suggest that consumers with Neuroticism will need to reduce processes of Internet memes to online fake news about functional food.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Replication and Spread of Functional Food Messages: The Influence of Personalities on Internet Meme Behavior

Hong¹,

Tai²

2021

Fake News Is Bad News - Hoaxes, Half-Truths and the Nature of Today's Journalism

View full text Add to dashboard Cite

show abstract

“…As EULAR recommendations for vaccinations are now widely disseminated, it can be hoped that these simple and effective measures will be more widely implemented. However, currently in France and in several other countries, there are important controversies around vaccinations (often relayed through social media with deleterious effects, at least in Western Europe and North America) 34 35. Time will tell if this will impact the vaccination rates of our patients.…”

Section: Discussionmentioning

confidence: 99%

Screening for and management of comorbidities after a nurse-led program: results of a 3-year longitudinal study in 769 established rheumatoid arthritis patients

et al. 2019

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Background/purposeCardiovascular (CV) risk, cancer, infections and osteoporosis should be screened for in rheumatoid arthritis (RA). The objective was to assess 3-year effects of a nurse visit for comorbidity counselling.MethodsThis was an open long-term (3 years) extension of the Comorbidities and Education in Rheumatoid Arthritis 6-month randomised controlled trial in which patients with definite, stable RA were visiting a nurse for comorbidity counselling. Comorbidity status was assessed and nurses provided advice on screening and management, at baseline and 3 years later. A score was developed to quantify comorbidity screening and management: 0–100, where lower scores indicate better screening and management. The score was compared between baseline and 3-year assessment using a Wilcoxon test for paired data.ResultsOf the 970 recruited patients, 776 (80%) were followed-up at 2–4 years and 769 (79%) had available data for comorbidities at both time points: mean (±SD) age 58 (±11) years and mean disease duration 14 (±10) years; 614 (80%) were women, the mean Disease Activity Score 28 was 3.0±1.3, and 538 (70%) were receiving a biologic. At baseline, the mean comorbidity screening score was 36.6 (±19.9) and it improved at 3 years to 24.3 (±17.8) (p<0.0001), thus with a relative improvement of 33% (improvement of 12 points). CV risk screening, vaccination status and bone densitometry performance improved the most.ConclusionsComorbidity screening was suboptimal but improved notably over 3 years, after a nurse-led programme aiming at checking systematically for comorbidity screening and giving patient advice. This long-term efficacy pleads in favour of nurse-led interventions to better address comorbidities in RA.Trial registration numberNCT01315652

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“…Broniatowski et al [ 59 ] examined how Twitter bots promote online vaccination debate and found that bots and “content polluters” tweeted more about vaccination than average users. Jang et al [ 60 ] compared the vaccine-related content in Twitter, Reddit, and online news in the US, Canada, and the UK, and showed that both Twitter and Reddit discussed the vaccine–autism link more than online news.…”

Section: Related Workmentioning

confidence: 99%

#Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses

Kim

Song

Lee

2020

IJERPH

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A dramatic increase has been registered in the number of social media posts in photo form as well as in hashtag activism. Hashtags, which manifest thoughts and feelings clearly and concisely, originated on Twitter, where the length of a post is limited; their use, however, has expanded into other social media services, including Instagram. Hashtags, which make it easy to find and express support for posts of interest, have been widely used for online activism, although they have been criticized for fostering confirmation bias. Moreover, hashtag activism in photo form has been relatively understudied. This research analyzed Instagram photos with antivaccination hashtags as an example of hashtag activism through photos. In addition, we examined how the photo features were related to public response, which was manifested via engagement and comment sentiment. The results suggest that the photos which were categorized into “text” took the largest share. It was also found that the major way of claiming was to imprint key messages that persuade people not to vaccinate with remarks from professionals on photos and provide a source of supporting information in the post text with hashtags of antivaccine intention. Various photo features showed associations with engagement and comment sentiment, but the directions of correlation were usually the opposite: these results suggest that engagement and comment sentiment are separate domains that reveal different public responses.

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From Social Media to Mainstream News: The Information Flow of the Vaccine-Autism Controversy in the US, Canada, and the UK

Cited by 99 publications

References 44 publications

The Replication and Spread of Functional Food Messages: The Influence of Personalities on Internet Meme Behavior

The Replication and Spread of Functional Food Messages: The Influence of Personalities on Internet Meme Behavior

Screening for and management of comorbidities after a nurse-led program: results of a 3-year longitudinal study in 769 established rheumatoid arthritis patients

#Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses

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