About: Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak

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About: Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak
Creator	Sell, Tara Hosangadi, Divya Trotochaud, Marc
source	Medline; PMC
abstract	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.
has issue date	2020-05-07(xsd:dateTime)
bibo:doi	10.1186/s12889-020-08697-3
bibo:pmid	32375715
has license	cc-by
sha1sum (hex)	2df50cfa6585309dcf10add88d8485ee7b0d55bd
schema:url	https://doi.org/10.1186/s12889-020-08697-3
resource representing a document's title	Misinformation and the US Ebola communication crisis: analyzing the veracity and content of social media messages related to a fear-inducing infectious disease outbreak
has PubMed Central identifier	PMC7202904
has PubMed identifier	32375715
schema:publication	BMC Public Health
resource representing a document's body	covid:2df50cfa6585309dcf10add88d8485ee7b0d55bd#body_text
is schema:about of	named entity 'specific' named entity 'communication' named entity 'communication' named entity 'PUBLIC' named entity 'NEED' named entity 'environment' named entity 'Ebola' named entity 'misinformation' named entity 'rumors' named entity 'news media' named entity 'fear' named entity 'social media' named entity 'infectious disease' named entity 'social media' named entity 'Ebola' named entity 'political ideology' named entity 'social media' named entity 'epidemic' named entity 'public health' named entity 'TKS' named entity 'public health' named entity 'Ebola' named entity 'empathy' named entity 'public health' named entity 'randomly selected' named entity 'pharmaceutical companies' named entity 'false information' named entity 'speak freely' named entity 'research team' named entity 'prevention and control' named entity 'personal beliefs' named entity 'Ebola' named entity 'British Broadcasting Corporation' named entity 'Twitter' named entity 'false news' named entity 'Ebola' named entity 'health information' named entity 'Twitter' named entity 'sampling' named entity 'disease transmission' named entity 'news organization' named entity 'Policy makers' named entity 'Ebola epidemic' named entity 'EBOLA' named entity 'content analysis' named entity 'social media' named entity 'political framing' named entity 'tweets' named entity 'tiot' named entity 'H1N1' named entity 'Ebola' named entity 'public health' named entity 'dichotomous' named entity 'Twitter' named entity 'tweets' named entity 'Sina Weibo' named entity 'Ebola epidemic' named entity 'interquartile range' named entity 'social media' named entity 'hashtag' named entity 'vaccine' named entity 'Ebola' named entity 'political discourse' named entity 'illegal immigrants' named entity 'social media' named entity 'social media' named entity 'COVID-19' named entity 'public health' named entity 'epidemic' named entity 'API' named entity 'risk perception' named entity 'airborne transmission' named entity 'health officials' named entity 'public health' named entity 'echo chambers' named entity 'political issues' named entity 'Africa' named entity 'risk perception' named entity 'public health'

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