Dissemination of health information through social networks: twitter and antibiotics.
Scanfeld Daniel,Scanfeld Vanessa,Larson Elaine L
American journal of infection control
BACKGROUND:This study reviewed Twitter status updates mentioning "antibiotic(s)" to determine overarching categories and explore evidence of misunderstanding or misuse of antibiotics. METHODS:One thousand Twitter status updates mentioning antibiotic(s) were randomly selected for content analysis and categorization. To explore cases of potential misunderstanding or misuse, these status updates were mined for co-occurrence of the following terms: "cold + antibiotic(s)," "extra + antibiotic(s)," "flu + antibiotic(s)," "leftover + antibiotic(s)," and "share + antibiotic(s)" and reviewed to confirm evidence of misuse or misunderstanding. RESULTS:Of the 1000 status updates, 971 were categorized into 11 groups: general use (n = 289), advice/information (n = 157), side effects/negative reactions (n = 113), diagnosis (n = 102), resistance (n = 92), misunderstanding and/or misuse (n = 55), positive reactions (n = 48), animals (n = 46), other (n = 42), wanting/needing (n = 19), and cost (n = 8). Cases of misunderstanding or abuse were identified for the following combinations: "flu + antibiotic(s)" (n = 345), "cold + antibiotic(s)" (n = 302), "leftover + antibiotic(s)" (n = 23), "share + antibiotic(s)" (n = 10), and "extra + antibiotic(s)" (n = 7). CONCLUSION:Social media sites offer means of health information sharing. Further study is warranted to explore how such networks may provide a venue to identify misuse or misunderstanding of antibiotics, promote positive behavior change, disseminate valid information, and explore how such tools can be used to gather real-time health data.
10.1016/j.ajic.2009.11.004
Erratum for PMID 21180585.
Therapeutic advances in gastroenterology
Erratum to 'Possible interactions between dietary fibres and 5-aminosalicyclic acid' by C Henriksen, S Hansen, I Nordgaard-Lassen, J Rikardt Anderson and P Madsen. Therapeutic Advances in Gastroenterology (2010) 3(1) 5-9 [DOI: 10.1177/ 1756283X09347810][This corrects the article on p. 5 in vol. 3.].
10.1177/1756283X10363751
See Something, Say Something: Correction of Global Health Misinformation on Social Media.
Bode Leticia,Vraga Emily K
Health communication
Social media are often criticized for being a conduit for misinformation on global health issues, but may also serve as a corrective to false information. To investigate this possibility, an experiment was conducted exposing users to a simulated Facebook News Feed featuring misinformation and different correction mechanisms (one in which news stories featuring correct information were produced by an algorithm and another where the corrective news stories were posted by other Facebook users) about the Zika virus, a current global health threat. Results show that algorithmic and social corrections are equally effective in limiting misperceptions, and correction occurs for both high and low conspiracy belief individuals. Recommendations for social media campaigns to correct global health misinformation, including encouraging users to refute false or misleading health information, and providing them appropriate sources to accompany their refutation, are discussed.
10.1080/10410236.2017.1331312
Tweeting about measles during stages of an outbreak: A semantic network approach to the framing of an emerging infectious disease.
Tang Lu,Bie Bijie,Zhi Degui
American journal of infection control
BACKGROUND:The public increasingly uses social media not only to look for information about emerging infectious diseases (EIDs), but also to share opinions, emotions, and coping strategies. Identifying the frames used in social media discussion about EIDs will allow public health agencies to assess public opinions and sentiments. METHOD:This study examined how the public discussed measles during the measles outbreak in the United States during early 2015 that originated in Disneyland Park in Anaheim, CA, through a semantic network analysis of the content of around 1 million tweets using KH coder. RESULTS:Four frames were identified based on word frequencies and co-occurrence: news update, public health, vaccination, and political. The prominence of each individual frame changed over the corse of the pre-crisis, initial, maintenance, and resolution stages of the outbreak. CONCLUSIONS:This study proposed and tested a method for assessing the frames used in social media discussions about EIDs based on the creation, interpretation, and quantification of semantic networks. Public health agencies could use social media outlets, such as Twitter, to assess how the public makes sense of an EID outbreak and to create adaptive messages in communicating with the public during different stages of the crisis.
10.1016/j.ajic.2018.05.019
Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source.
van der Meer Toni G L A,Jin Yan
Health communication
An increasing lack of information truthfulness has become a fundamental challenge to communications. Insights into how to debunk this type of misinformation can especially be crucial for public health crises. To identify corrective information strategies that increase awareness and trigger actions during infectious disease outbreaks, an online experiment ( = 700) was conducted, using a U.S. sample. After initial misinformation exposure, participants' exposure to corrective information type (simple rebuttal vs. factual elaboration) and source (government health agency vs. news media vs. social peer) was varied, including a control group without corrective information. Results show that, if corrective information is present rather than absent, incorrect beliefs based on misinformation are debunked and the exposure to factual elaboration, compared to simple rebuttal, stimulates intentions to take protective actions. Moreover, government agency and news media sources are found to be more successful in improving belief accuracy compared to social peers. The observed mediating role of crisis emotions reveals the mechanism underlying the effects of corrective information. The findings contribute to misinformation research by providing a formula for correcting the increasing spread of misinformation in times of crisis.
10.1080/10410236.2019.1573295
Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak.
Sell Tara Kirk,Hosangadi Divya,Trotochaud Marc
BMC public health
BACKGROUND:The Ebola communication crisis of 2014 generated widespread fear and attention among Western news media, social media users, and members of the United States (US) public. Health communicators need more information on misinformation and the social media environment during a fear-inducing disease outbreak to improve communication practices. The purpose of this study was to describe the content of Ebola-related tweets with a specific focus on misinformation, political content, health related content, risk framing, and rumors. METHODS:We examined tweets from a random 1% sample of all tweets published September 30th - October 30th, 2014, filtered for English-language tweets mentioning "Ebola" in the content or hashtag, that had at least 1 retweet (N = 72,775 tweets). A randomly selected subset of 3639 (5%) tweets were evaluated for inclusion. We analyzed the 3113 tweets that meet inclusion criteria using public health trained human coders to assess tweet characteristics (joke, opinion, discord), veracity (true, false, partially false), political context, risk frame, health context, Ebola specific messages, and rumors. We assessed the proportion of tweets with specific content using descriptive statistics and chi-squared tests. RESULTS:Of non-joke tweets, 10% of Ebola-related tweets contained false or partially false information. Twenty-five percent were related to politics, 28% contained content that provoked reader response or promoted discord, 42% contained risk elevating messages and 72% were related to health. The most frequent rumor mentioned focused on government conspiracy. When comparing tweets with true information to tweets with misinformation, a greater percentage of tweets with misinformation were political in nature (36% vs 15%) and contained discord-inducing statements (45% vs 10%). Discord-inducing statements and political messages were both significantly more common in tweets containing misinformation compared with those without(p < 0.001). CONCLUSIONS:Results highlight the importance of anticipating politicization of disease outbreaks, and the need for policy makers and social media companies to build partnerships and develop response frameworks in advance of an event. While each public health event is different, our findings provide insight into the possible social media environment during a future epidemic and could help optimize potential public health communication strategies.
10.1186/s12889-020-08697-3
Communicating Ebola through social media and electronic news media outlets: A cross-sectional study.
Househ Mowafa
Health informatics journal
Social media and electronic news media activity are an important source of information for the general public. Yet, there is a dearth of research exploring the use of Twitter and electronic news outlets during significant worldly events such as the recent Ebola Virus scare. The purpose of this article is to investigate the use of Twitter and electronic news media outlets in communicating Ebola Virus information. A cross-sectional survey of Twitter data and Google News Trend data from 30 September till 29 October, 2014 was conducted. Between 30 September and 29 October, there were approximately 26 million tweets (25,925,152) that contained the word Ebola. The highest number of correlated activity for Twitter and electronic news outlets occurred on 16 October 2014. Other important peaks in Twitter data occurred on 1 October, 6 October, 8 October, and 12 October, 2014. The main influencers of the Twitter feeds were news media outlets. The study reveals a relationship between electronic news media publishing and Twitter activity around significant events such as Ebola. Healthcare organizations should take advantage of the relationship between electronic news media and trending events on social media sites such as Twitter and should work on developing social media campaigns in co-operation with leading electronic news media outlets (e.g. CNN, Yahoo, Reuters) that can have an influence on social media activity.
10.1177/1460458214568037
[Impact of interleukin-10 and interleukin-28 gene polymorphisms on the development and course of lupus nephritis].
Terapevticheskii arkhiv
AIM:To assess the relationship of the carriage of IL-10-1080 G/A and IL-28 rs8099917 C/T polymorphisms to the course of lupus nephritis (LN). SUBJECTS AND METHODS:Ninety-nine patients with systemic lupus erythematosus (SLE), including 68 with LN, were examined. Gene polymorphisms were analyzed using standard molecular genetic techniques. The frequency of the clinical manifestations of LN was analyzed; renal survival (RS) was estimated by the Kaplan-Meier method. RESULTS:Ten-year RS rates were 80 and 86% of the patients with and without the mutant IL-10 allele, respectively (p = 0.78). The 10-year RS was lower (75%) in carriers of the mutant IL-28 rsl2979860 allele than in patients without this mutant allele (83%; p = 0.049) and in those of the mutant IL28 rs8099917 allele than in patients without the above mutant allele (67 and 88%, respectively; p = 0.047). LN patients, carriers of the mutant IL-10-1028 G/A allele, were observed to have higher-grade proteinuria in the presence of nephritic syndrome (mean 6.1 g/l) than those without the mutant allele of this gene (mean 2.9 g/l; p = 0.034). However, the mutant allele carriers responded to treatment better (p = 0.050). The mutant IL-10 and IL-28 alleles were unassociated with the development of rapidly progressive nephritis, the activity of a renal lupus process, and the rate of onset of SLE and LN. CONCLUSION:In the LN patients, the carriage of the mutant IL-10 allele A is associated with a better response to treatment and that of the mutant IL-28 allele is linked to the severe course of the disease.
10.17116/terarkh201587640-44
Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors.
Fung Isaac Chun-Hai,Fu King-Wa,Chan Chung-Hong,Chan Benedict Shing Bun,Cheung Chi-Ngai,Abraham Thomas,Tse Zion Tsz Ho
Public health reports (Washington, D.C. : 1974)
OBJECTIVE:We analyzed misinformation about Ebola circulating on Twitter and Sina Weibo, the leading Chinese microblog platform, at the outset of the global response to the 2014-2015 Ebola epidemic to help public health agencies develop their social media communication strategies. METHODS:We retrieved Twitter and Sina Weibo data created within 24 hours of the World Health Organization announcement of a Public Health Emergency of International Concern (Batch 1 from August 8, 2014, 06:50:00 Greenwich Mean Time [GMT] to August 9, 2014, 06:49:59 GMT) and seven days later (Batch 2 from August 15, 2014, 06:50:00 GMT to August 16, 2014, 06:49:59 GMT). We obtained and analyzed a 1% random sample of tweets containing the keyword Ebola. We retrieved all Sina Weibo posts with Chinese keywords for Ebola for analysis. We analyzed changes in frequencies of keywords, hashtags, and Web links using relative risk (RR) and c(2) feature selection algorithm. We identified misinformation by manual coding and categorizing randomly selected sub-datasets. RESULTS:We identified two speculative treatments (i.e., bathing in or drinking saltwater and ingestion of Nano Silver, an experimental drug) in our analysis of changes in frequencies of keywords and hashtags. Saltwater was speculated to be protective against Ebola in Batch 1 tweets but their mentions decreased in Batch 2 (RR=0.11 for "salt" and RR=0.14 for "water"). Nano Silver mentions were higher in Batch 2 than in Batch 1 (RR=10.5). In our manually coded samples, Ebola-related misinformation constituted about 2% of Twitter and Sina Weibo content. A range of 36%-58% of the posts were news about the Ebola outbreak and 19%-24% of the posts were health information and responses to misinformation in both batches. In Batch 2, 43% of Chinese microblogs focused on the Chinese government sending medical assistance to Guinea. CONCLUSION:Misinformation about Ebola was circulated at a very low level globally in social media in either batch. Qualitative and quantitative analyses of social media posts can provide relevant information to public health agencies during emergency responses.
10.1177/003335491613100312