scholarly journals Measuring the effects of misinformation exposure on behavioural intentions

2021 ◽  
Author(s):  
Constance de Saint Laurent ◽  
Gillian Murphy ◽  
Karen Hegarty ◽  
Ciara Greene

Misinformation has been a pressing issue since the beginning of COVID-19 pandemic, threatening our ability to effectively act on the crisis. More recently, the availability of vaccines in developed countries has not always translated into high vaccination rates, with online misinformation often presented as the culprit. Yet little is known about the actual effects of fake news on behavioural intentions. Does exposure to misinformation about COVID-19 vaccines indeed affects people’s intentions to receive such a vaccine? This paper attempts to answer this question through three preregistered experiments (N=3463). In Study 1, participants (n=1269) were exposed to fabricated pro- or anti-vaccine information or to neutral true information, and then asked about their intentions to get vaccinated, alongside a few other behavioural intentions. In Study 2, participants (n=1863) were exposed to true pro- and anti-vaccine information, while Study 3 (n=1548) compared the effects of single and multiple exposures to novel misinformation about COVID-19 vaccines. The results showed that exposure to false information on the vaccines did not affect the participants’ intentions to get vaccinated, even when multiple exposures led them to believe that the headlines were more accurate than in the single exposure conditions. An exploratory meta-analysis of studies 1 and 3 (n=2683) showed that exposure to false information about COVID-19 vaccines, regardless of whether it was in favour of or against vaccines, increased vaccination intentions. We conclude by cautioning researchers against equating exposure to misinformation or perceived accuracy of false news with actual behaviours.

2019 ◽  
Vol 3 (1) ◽  
pp. 166-180
Author(s):  
Bartosz W. Wojdynski ◽  
Matthew T. Binford ◽  
Brittany N. Jefferson

Abstract In recent years, online misinformation designed to resemble news by adopting news design conventions has proven to be a powerful vehicle for deception and persuasion. In a 2 (prior warning: present/absent) x 2 (article type: false/true) eye-tracking experiment, news consumers (N=49) viewed four science news articles from unfamiliar sources, then rated each article for credibility before being asked to classify each as true news or as false information presented as news. Results show that reminding participants about the existence of fake news significantly improved correct classification of false news articles, but did not lead to a significant increase in misclassification of true news articles as false. Analysis of eye-tracking data showed that duration of visual attention to news identifier elements, such as the headline, byline, timestamp on a page, predicted correct article classification. Implications for consumer education and information design are discussed.


Author(s):  
Cristina Pulido Rodríguez ◽  
Beatriz Villarejo Carballido ◽  
Gisela Redondo-Sama ◽  
Mengna Guo ◽  
Mimar Ramis ◽  
...  

Since the Coronavirus health emergency was declared, many are the fake news that have circulated around this topic, including rumours, conspiracy theories and myths. According to the World Economic Forum, fake news is one of the threats in today's societies, since this type of information circulates fast and is often inaccurate and misleading. Moreover, fake-news are far more shared than evidence-based news among social media users and thus, this can potentially lead to decisions that do not consider the individual’s best interest. Drawing from this evidence, the present study aims at comparing the type of Tweets and Sina Weibo posts regarding COVID-19 that contain either false or scientific veracious information. To that end 1923 messages from each social media were retrieved, classified and compared. Results show that there is more false news published and shared on Twitter than in Sina Weibo, at the same time science-based evidence is more shared on Twitter than in Weibo but less than false news. This stresses the need to find effective practices to limit the circulation of false information.


2021 ◽  
Vol 9 (1) ◽  
pp. 229-238
Author(s):  
Ester Almenar ◽  
Sue Aran-Ramspott ◽  
Jaume Suau ◽  
Pere Masip

In the current media ecosystem, in which the traditional media coexists with new players who are able to produce information and spread it widely, there is growing concern about the increasing prominence of fake news. Despite some significant efforts to determine the effects of misinformation, the results are so far inconclusive. Previous research has sought to analyze how the public perceive the effects of disinformation. This article is set in this context, and its main objective is to investigate users’ perception of fake news, as well as identify the criteria on which their recognition strategies are based. The research pays particular attention to determining whether there are gender differences in the concern about the effects of fake news, the degree of difficulty in detecting fake news and the most common topics it covers. The results are based on the analysis of a representative survey of the Spanish population (N = 1,001) where participants were asked about their relationship with fake news and their competence in determining the veracity of the information, and their ability to identify false content were assessed. The findings show that men and women’s perception of difficulty in identifying fake news is similar, while women are more concerned than men about the pernicious effects of misinformation on society. Gender differences are also found in the topics of the false information received. A greater proportion of men receive false news on political issues, while women tend to more frequently receive fake news about celebrities.


Discourse ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 79-91
Author(s):  
V. V. Vasilkova ◽  
P. A. Trekin

Introduction. Interest in the problem of false (fake) news has increased significantly in the situation of the coronavirus pandemic, when the flow of false information considered as an obstacle to the implementation of measures to combat the pandemic itself and its consequences. The authors aim to study the existing works devoted to the analysis of the construction and recognition of false news about COVID-19, paying special attention to the procedures of fact-checking-process of verifying the accuracy of the information contained in the message. The novelty of the author’s approach lies in the use of a content analysis of the fact-checking resource to identify communication technologies for constructing fake news about the coronavirus.Methodology and sources. As a theoretical framework, authors used the information model of communication by Claude Shannon, structuring communication as a process of information transmission and fixing the possibility of noise (distortion) in various parts of this process. The empirical basis of the study was a fact-checking resource that specializes in identifying fakes about the coronavirus (47 units of analysis were considered for the period from March to May 2020).Results and discussion. In the result of the research, specific communication technologies of purposeful construction of false news were identified – distortions in the communication channel, distortions in the message code (content), distortions in the message source. We also identified the types of distortions associated with the content of communication – based on the creation of false content, recoding information (giving it a new interpretation), editing the original. Different frequency of application of these technologies for a given volume of analysis units were been recorded, as well a s the predominance of the technology of distortion of the communication channel.Conclusion. The authors draw a conclusion about the importance and relevance of the topic of constructing fake news in the situation of the ongoing COVID -19 pandemic, demonstrate the productivity of using fact-checking resources to identify various communicative technologies for constructing false messages, which creates new prospects for recognizing and countering them.


2019 ◽  
Vol 1 (1) ◽  
pp. 39-44
Author(s):  
Shama Razi ◽  
◽  
Hamma Jillani ◽  

In Islam, there is strict prohibition of sneering at people, mocking and bad-mouthing. Islamic perspective shows spreading of such news which isn’t verified and is solely on the basis of guess, suspicion and delusions is prohibited. Moreover, Muslims are forbidden of spreading rumors and false information/news without any verification. There are different models studied under the decision making such as a) rational model, b) the administrative model, and c) the Retrospective Decision-Making Model. Fabrication of false/wrong accusation about any person is another atrocious sin. Muslims rely on moral principles for their decision making process, any false/fake news not only harm their mutual relationships in the society also it will lead to misconceptions. The foremost theme is to keep Muslims away from any commotion which intentionally or unintentionally hurts any other person and he has to be in the pang of guilty afterwards. This study identifies the adverse impacts of spreading fake news and how it is prohibited from Islamic evidences. Moreover, a link between decision making and impact of news on it is developed based on the review of existing literature.


2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 134-134
Author(s):  
Barbara Yim ◽  
Khaled Maklad ◽  
Syed Ali Amir Sherazi ◽  
Muhammad Junaid Tariq ◽  
Muhammad Usman ◽  
...  

134 Background: COVID-19 pandemic has caused delay in cancer diagnosis and treatment risking increase in cancer-related mortality. COVID vaccines offer hope to control pandemic and ensure uninterrupted cancer care. Per CDC, as of May 25, 2021, vaccination rates for minorities, especially African Americans (AA) and Hispanics (HISP) have lagged behind (https://covid.cdc.gov/covid-data-tracker/#vaccination-demographic). Our study was undertaken to explore attitudes of Chicago’s inner-city minority cancer population towards COVID-19 vaccination when vaccines became available (Dec 2020) and 5 months later (May 2021). Methods: Cook County Health is a large public health care system in the USA. A voluntary brief 15 question anonymous survey was offered at clinic intake by the Medical Assistant (MA) in Oncology and Hematology clinics for 1 month starting December 16, 2020. The survey was IRB exempt. A follow up one-question survey was given for 1 week in May 2021 at one MA intake station asking if patients had received or planned to receive the vaccine. No identifying information was collected. Results: Initial phase: A total 505 completed surveys were received consisting of 199 (39%) AA, 201 (40%) HISP, 51 (10%) Whites, 38 (8%) Asians and 3% other. There were 58% women, 58% patients with education high-school/less and 91% with annual household income <$40,000. Overall, 320 (63%) patients were agreeable to take/consider taking the vaccine now, if available, 134 (26.5%) wanted to wait and see while 51 (10%) absolutely refused the vaccine. Reasons for hesitation (wait and see) were vaccine being experimental (51%) and not wanting to be the first to receive (49%), not trusting the vaccine information (16%). Reasons for absolutely refusing were vaccine being experimental (75%) and not trusting the information (47%), did not believe in vaccines (12%). About 62% of AA, 69% HISP, 68% Asians and 49% Whites were agreeable to the COVID vaccine (p<0.05). Wait and see was reported by 26% AA, 25% HISP, 32% Asians and 29% Whites (p=NS). Absolute denials were 12%, 6% and 22% among AA, HISP and Whites respectively (p<0.05). The most common reason for denial for all 3 groups was belief that vaccine was still experimental (71% AA, 85% HISP and 73% Whites). The second most common reason reported for denial was mistrust of the vaccine information reported by 50% AA, 38% HISP and 36% Whites respectively. Second phase: Of 162 consecutive patients asked if they had received the vaccine, 119 (73%) had received 1 or both vaccine doses, 18 (11%) were planning to receive it while 26 (16%) had no plans to get vaccinated as yet. Conclusions: Unlike national vaccination rates, inner-city minority cancer population has been very accepting of the COVID vaccines as evidenced by high vaccination rates. AA and Hispanics were more open to vaccination than whites. These high rates in AA and HISP is especially encouraging considering this population has historically had lower reported vaccination rates.


2020 ◽  
Vol 8 (`10) ◽  
pp. 403-410
Author(s):  
David Araújo Pinheiro ◽  
Mariana Gomes Leitão De Araújo ◽  
Keilla Barbosa De Souza ◽  
Beatriz de Sousa Campos ◽  
Evanete Maria De Oliveira ◽  
...  

In the current scenario of the COVID-19 pandemic, a lot of false information has spread through social networks. This study aimed to characterize the types of fake news in health and the factors that influence its sharing. This is a descriptive cross-sectional observational study conducted by health scholars who analyzed the messages received in the WhatsApp network and the sociodemographic characteristics of sharers in the year 2020. Results: The level of education influences the spread of false news, and family members have a higher frequency of sharing these news. As for the type of content of fake news, the fabricated content and false context stood out as the most shared ones. The characteristic of the group of researchers may have influenced the receivement of a smaller amount of fake news, since they are able to recognize and refute


2021 ◽  
Author(s):  
Jonathan Silas ◽  
Alexander Jones ◽  
Leonardo Weiss-Cohen ◽  
Peter Ayton

Background: Previous research has demonstrated a ‘seductive allure’ of technical or reductive language. Specifically, bad explanations – i.e., those presenting circular restatements of a phenomenon or other non-explanatory information – are judged better explanations when irrelevant technical language is included.Methods: Using a between subjects design we presented participants (N=996) with one of four possible vignettes that explain how covid-19 vaccinations and herd immunity works. The explanations varied along two factors: (1) Quality, explanations were either good or bad (tautological); (2) Language, explanations either contained unnecessary technical language or did not. We measured participants’ evaluation of the explanations (‘how good’ and ‘how satisfying’ they were) and subsequent intentions to vaccinate.Results: We demonstrate a novel ‘seductive allure’ effect of technical language on vaccine information. Including unnecessary technical language in informative explanations resulted in them being judged worse. However, including irrelevant technical terminology in bad quality explanations resulted in them being judged better. Importantly, we also observe indirect effects of the evaluation of explanations on behavioural intentions to vaccinate. Conclusions: We show that explanatory public health information that omits reductive technical language is more effective in increasing public intentions to vaccinate. We also suggest that misinformation that includes technical language could be more detrimental to vaccination rates.


2020 ◽  
Vol 14 (1) ◽  
pp. 47-62
Author(s):  
Yanti Dwi Astuti ◽  
Mustofa Mustofa

This research tries to reveal how Muslim teenagers' perceptions and interpretations of hoax news are often circulating in social media. The phenomenon of hoax spreads or false information gets a big moment when social media becomes very common on the internet. People become agents of hoax distribution because they believe in hoax content. Young teenagers are considered the most vulnerable affected by false or hoax news because the characteristics tend to be explorative, always curious, easily influenced, and tend to receive just the contents of the media. It may pose a latent danger and potentially divisive perceptions of society. This research uses Stimulus, Organism, and Response (SOR) theory through qualitative approaches. Data was collected through the FGD method, observation, in-depth interviews, and documentation by using purposive sampling. Meanwhile, to ensure the validity of the data, it is done with the triangulation of data and sources. The results revealed a relationship between understandings of the hoax with the rejection of hoax. It suggests that hoaxes as false news are designed to pose a threat to social life. The study concluded that people, especially Muslim youth, reexamine the truth of the information with "Tabayyun. It also increases digital literacy to be smart and critical in the media.   Penelitian ini mencoba untuk mengungkap bagaimana persepsi dan interpretasi remaja muslim mengenai berita hoaks yang kerap beredar di media sosial Fenomena penyebaran hoaks atau berita bohong mendapat momen besar ketika media sosial menjadi sangat umum berkembang di zaman internet. Masyarakat menjadi agen penyebaran Hoaks karena percaya dengan konten hoaks. Kalangan remaja remaja dinilai paling rentan terpengaruh berita bohong atau hoaks karena karakteristiknya cenderung eksploratif, selalu ingin tahu, mudah terpengaruh dan cenderung menerima begitu saja isi media. Ini dapat menimbulkan bahaya laten dan beragam persepsi yang berpotensi memecah belah masyarakat. Penelitian ini akan menggunakan teori Stimulus, Organisme dan Respon (SOR) melalui pendekatan kualitatif. Pengumpulan data penelitian dilakukan melalui, metode FGD, Observasi, wawancara mendalam dan dokumentasi dengan menggunakan teknik purposive sampling. Sementara itu, untuk menjamin validitas data, dilakukan dengan triangulasi data dan sumber. Hasil penelitian mengungkapkan terdapat hubungan antara pemahaman terhadap hoaks dengan penolakan terhadap hoaks. Hal ini menunjukkan bahwa hoaks sebagai berita bohong yang terdesain menjadi ancaman bagi kehidupan sosial. Penelitian menyimpulkan agar masyarakat khususnya remaja muslim memeriksa kembali kebenaran sebuah berita dengan “Tabayyun. Selain itu juga meningkatkan literasi digital agar dapat pintar dan kritis dalam bermedia.


2019 ◽  
pp. 000276421987822 ◽  
Author(s):  
Maria D. Molina ◽  
S. Shyam Sundar ◽  
Thai Le ◽  
Dongwon Lee

As the scourge of “fake news” continues to plague our information environment, attention has turned toward devising automated solutions for detecting problematic online content. But, in order to build reliable algorithms for flagging “fake news,” we will need to go beyond broad definitions of the concept and identify distinguishing features that are specific enough for machine learning. With this objective in mind, we conducted an explication of “fake news” that, as a concept, has ballooned to include more than simply false information, with partisans weaponizing it to cast aspersions on the veracity of claims made by those who are politically opposed to them. We identify seven different types of online content under the label of “fake news” (false news, polarized content, satire, misreporting, commentary, persuasive information, and citizen journalism) and contrast them with “real news” by introducing a taxonomy of operational indicators in four domains—message, source, structure, and network—that together can help disambiguate the nature of online news content.


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