Social media and the COVID-19 pandemic: The dilemma of fake news clutter vs. social responsibility

2021 ◽  
Vol 14 (1) ◽  
pp. 25-45 ◽  
Author(s):  
Moez Ben Messaoud

This article examines the relationship between fake news and social media as increasingly important sources of news, at a time when mainstream media no longer have exclusive control over news production and dissemination. It has been evident that few media outlets and professionals tend to draw conflicting news about COVID-19 from social media feeds, which are largely produced by common citizens with mostly no journalism training. This pervasive use makes social media key sources to scores of media outlets for news, whether it is related to COVID-19 or public affairs issues, even though it is susceptible to torrents of credibility and accuracy issues. As a result, of the overwhelming spread of fake news on coronavirus, which is contributing to framing events from several angles, media professionals are now obliged to track and vet information circulating on social media. Due to the scale of disinformation spreading on the Web, it has become imperative that the credibility and accuracy of news is thoroughly verified. Media organizations have already been putting in place various mechanisms to monitor false news. This article will attempt to identify and assess these monitoring efforts in the Arab world. For this purpose, I have put together a list of Arab observatories launched on the internet in order to monitor fake news circulating in relation to COVID-19, and to discuss their methods of monitoring work, in the context of mobilization carried out by governments and many organizations such as the World Health Organization. This article is pinned down on social responsibility approach which helps pave the way the different propositions to combat fake news and avoid abuses in social media uses. This article proposes an evaluation of the monitoring initiative via-a-vis fake news and proposes a set of guidelines for improving the work of such monitoring bodies. Hence, this research reveals that social media outlets have diversified their goals to match the power of the conventional media in disseminating information and bringing up issues for debate. However, in the light of the framework of social responsibility, social media actors have to constantly develop a set of ethical practices to be observed by users, establish codes of conduct regulating content production, and lay down a code of integrity to assure accuracy in news and information transmission.

2018 ◽  
Author(s):  
Andrea Pereira ◽  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris

Political misinformation, often called “fake news”, represents a threat to our democracies because it impedes citizens from being appropriately informed. Evidence suggests that fake news spreads more rapidly than real news—especially when it contains political content. The present article tests three competing theoretical accounts that have been proposed to explain the rise and spread of political (fake) news: (1) the ideology hypothesis— people prefer news that bolsters their values and worldviews; (2) the confirmation bias hypothesis—people prefer news that fits their pre-existing stereotypical knowledge; and (3) the political identity hypothesis—people prefer news that allows their political in-group to fulfill certain social goals. We conducted three experiments in which American participants read news that concerned behaviors perpetrated by their political in-group or out-group and measured the extent to which they believed the news (Exp. 1, Exp. 2, Exp. 3), and were willing to share the news on social media (Exp. 2 and 3). Results revealed that Democrats and Republicans were both more likely to believe news about the value-upholding behavior of their in-group or the value-undermining behavior of their out-group, supporting a political identity hypothesis. However, although belief was positively correlated with willingness to share on social media in all conditions, we also found that Republicans were more likely to believe and want to share apolitical fake new. We discuss the implications for theoretical explanations of political beliefs and application of these concepts in in polarized political system.


2021 ◽  
Author(s):  
Andrea Wen-Yi Wang ◽  
Jo-Yu Lan ◽  
Ming-Hung Wang ◽  
Chihhao Yu

BACKGROUND In 2020, the COVID-19 pandemic put the world in crisis on both physical and psychological health. Simultaneously, a myriad of unverified information flowed on social media and online outlets. The situation was so severe that the World Health Organization identified it an infodemic on February 2020. OBJECTIVE We want to study the propagation patterns and textual transformation of COVID-19 related rumors on a closed-platform. METHODS We obtained a dataset of 114 thousand suspicious text messages collected on Taiwan’s most popular instant messaging platform, LINE. We also proposed an algorithm that efficiently cluster text messages into groups, where each group contains text messages within limited difference in content. Each group then represents a rumor and elements in each group is a message about the rumor. RESULTS 114 thousand messages were separated into 937 groups with at least 10 elements. Of the 936 rumors, 44.5% (417) were related to COVID-19. By studying 3 popular false COVID-19 rumors, we identified that key authoritative figures, mostly medical personnel, were often quoted in the messages. Also, rumors resurfaced multiple times after being fact-checked, and the resurfacing pattern were influenced by major societal events and successful content alterations, such as changing whom to quote in a message. CONCLUSIONS To fight infodemic, it is crucial that we first understand why and how a rumor becomes popular. While social media gives rise to unprecedented number of unverified rumors, it also provides a unique opportunity for us to study rumor propagations and the interactions with society. Therefore, we must put more effort in the areas.


2020 ◽  
Vol 73 (5) ◽  
Author(s):  
Victória Prates Pasqualotto ◽  
Mariene Jaeger Riffel ◽  
Virgínia Leismann Moretto

ABSTRACT Objective: To describe and analyze the practices suggested in social media for the elaboration of Birth Plans, available on Blogs/Sites and not included in the WHO recommendations. Method: Qualitative, exploratory, descriptive study with thematic analysis. A total of 41 e-mail addresses were selected for analysis among the 200 web addresses previously identified between March and July 2016. Three web addresses were in Portugal and the others in Brazil. Results: 48 practices not included in the recommendations of the World Health Organization (WHO) were identified. Conclusion: Blogs/Websites, as means of transmission, circulation and production of knowledge, enable the horizontal expression of values, encourage women to plan the events considered important for their deliveries and put childbirth decisions on the hands of women, which has caused controversy in the discourse of humanization of childbirth.


Author(s):  
E. K. Mgbe ◽  
C. G. Mgbe ◽  
S. N. Ezeofor ◽  
J. F. Etiki

Background: The world is experiencing a global corona virus (COVID-19) pandemic. As of 9th June 2020, over 7 million confirmed cases of coronavirus disease (COVID-19) and more than 400,000 deaths had been reported in more than 30 countries of the world according to World Health Organization. Aim: We aimed to assess the knowledge, attitudes, and vulnerability perception of Enugu state residents during the coronavirus outbreak in order to facilitate better health care outcomes. Methodology: A prospective Web-based cross-sectional survey was designed for this study which was conducted in March 2020 among Enugu state residents. The obtained data were coded, validated, and analyzed using Statistical Package for the Social Sciences SPSS software, version 24. Descriptive analysis was applied to calculate the frequencies and proportions and Chi-Square Test was also used. A preliminary phase was conducted to assess the validity and reliability of the questionnaire before its use.  Results: The study showed that significant number (99.6%) of the respondents had heard about Covid-19 and the most stated source of knowledge was social media (57.6%), followed by Newspaper and television shows (50.2%) while the least was from General Practitioner (GP) (8.9%). There was over 75% agreement with, and practice, of all known covid precautionary measures and less than 35% responses for wrong claims and practices about covid -19. Conclusion: The overall knowledge, attitude, and perception are high in Enugu state population although few still has background combined superstitious believes. Social media and internet are the highest used facility for acquisition of knowledge and information in Enugu, Nigeria.


2022 ◽  
Vol 07 (01) ◽  
pp. 33-36
Author(s):  
Ghazala Javed ◽  
Nandini Kumar

The World Health Organization (WHO) in its Alma Ata Declaration, 1978, focuses on the development, promotion and recognition of the traditional medical systems. India has taken steps in this direction by recognising Unani medicine with other traditional medical systems practised in India. Presently, Government is promoting integration of the recognised traditional medical systems with conventional medicine at the national level, as an interdisciplinary approach to providing better patient-centred care. Bioethics is a field of enquiry that examines ethical issues and dilemmas emerging from medical care and research involving humans. Although the term ‘bioethics’ was first mentioned in 1927 and later established as a distinct discipline in 1970s, the ethical principles in various contexts had been described centuries ago in the classical texts pertaining to traditional medical systems. Since ethics as a code of conduct was followed by ancient Unani physicians to safeguard the interests of humanity when providing healthcare, it was felt that a review of classical Unani manuscripts should be attempted to give an insight into codes of conduct described by various Unani physicians. In this paper, a 10th century book, “Kamilussanah” authored by Ali ibn Abbas al-Majoosi, also known as Majoosi (930-994 CE), is reviewed through the prism of ethics.


Author(s):  
Kristy A. Hesketh

This chapter explores the Spiritualist movement and its rapid growth due to the formation of mass media and compares these events with the current rise of fake news in the mass media. The technology of cheaper publications created a media platform that featured stories about Spiritualist mediums and communications with the spirit world. These articles were published in newspapers next to regular news creating a blurred line between real and hoax news stories. Laws were later created to address instances of fraud that occurred in the medium industry. Today, social media platforms provide a similar vessel for the spread of fake news. Online fake news is published alongside legitimate news reports leaving readers unable to differentiate between real and fake articles. Around the world countries are actioning initiatives to address the proliferation of false news to prevent the spread of misinformation. This chapter compares the parallels between these events, how hoaxes and fake news begin and spread, and examines the measures governments are taking to curb the growth of misinformation.


2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Iben Axén ◽  
Cecilia Bergström ◽  
Marc Bronson ◽  
Pierre Côté ◽  
Casper Glissmann Nim ◽  
...  

Abstract Background In March 2020, the World Health Organization elevated the coronavirus disease (COVID-19) epidemic to a pandemic and called for urgent and aggressive action worldwide. Public health experts have communicated clear and emphatic strategies to prevent the spread of COVID-19. Hygiene rules and social distancing practices have been implemented by entire populations, including ‘stay-at-home’ orders in many countries. The long-term health and economic consequences of the COVID-19 pandemic are not yet known. Main text During this time of crisis, some chiropractors made claims on social media that chiropractic treatment can prevent or impact COVID-19. The rationale for these claims is that spinal manipulation can impact the nervous system and thus improve immunity. These beliefs often stem from nineteenth-century chiropractic concepts. We are aware of no clinically relevant scientific evidence to support such statements. We explored the internet and social media to collect examples of misinformation from Europe, North America, Australia and New Zealand regarding the impact of chiropractic treatment on immune function. We discuss the potential harm resulting from these claims and explore the role of chiropractors, teaching institutions, accrediting agencies, and legislative bodies. Conclusions Members of the chiropractic profession share a collective responsibility to act in the best interests of patients and public health. We hope that all chiropractic stakeholders will view the COVID-19 pandemic as a call to action to eliminate the unethical and potentially dangerous claims made by chiropractors who practise outside the boundaries of scientific evidence.


Author(s):  
Martina Barchitta ◽  
Annalisa Quattrocchi ◽  
Andrea Maugeri ◽  
Maria Clara La Rosa ◽  
Claudia La Mastra ◽  
...  

The issue of antimicrobial resistance (AMR) is a focus of the World Health Organization, which proposes educational interventions targeting the public and healthcare professionals. Here, we present the first attempt at a regionwide multicomponent campaign in Sicily (Italy), called “Obiettivo Antibiotico”, which aims to raise the awareness of prudent use of antibiotics in the public and in healthcare professionals. The campaign was designed by an interdisciplinary academic team, and an interactive website was populated with different materials, including key messages, letters, slogans, posters, factsheets, leaflets, and videos. The campaign was launched in November 2018 and, as of 21 December 2018, the website had a total of 1159 unique visitors, of which 190 became champions by pledging to take simple actions to support the fight against AMR. Data from social media showed that the audience was between 18 and 54 years of age, with a high proportion of female participants (64%). Interestingly, the LinkedIn page received more than 1200 followers, and Facebook 685 followers. The number of actions taken (pledges) by the audience was 458, evenly divided between experts (53%) and the general public (47%). Additional efforts are needed to reach more people, thus future efforts should focus on further promotion within the Sicilian region to sustain the engagement with the campaign.


10.2196/17650 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e17650
Author(s):  
Genghao Li ◽  
Bing Li ◽  
Langlin Huang ◽  
Sibing Hou

Background According to a World Health Organization report in 2017, there was almost one patient with depression among every 20 people in China. However, the diagnosis of depression is usually difficult in terms of clinical detection owing to slow observation, high cost, and patient resistance. Meanwhile, with the rapid emergence of social networking sites, people tend to share their daily life and disclose inner feelings online frequently, making it possible to effectively identify mental conditions using the rich text information. There are many achievements regarding an English web-based corpus, but for research in China so far, the extraction of language features from web-related depression signals is still in a relatively primary stage. Objective The purpose of this study was to propose an effective approach for constructing a depression-domain lexicon. This lexicon will contain language features that could help identify social media users who potentially have depression. Our study also compared the performance of detection with and without our lexicon. Methods We autoconstructed a depression-domain lexicon using Word2Vec, a semantic relationship graph, and the label propagation algorithm. These two methods combined performed well in a specific corpus during construction. The lexicon was obtained based on 111,052 Weibo microblogs from 1868 users who were depressed or nondepressed. During depression detection, we considered six features, and we used five classification methods to test the detection performance. Results The experiment results showed that in terms of the F1 value, our autoconstruction method performed 1% to 6% better than baseline approaches and was more effective and steadier. When applied to detection models like logistic regression and support vector machine, our lexicon helped the models outperform by 2% to 9% and was able to improve the final accuracy of potential depression detection. Conclusions Our depression-domain lexicon was proven to be a meaningful input for classification algorithms, providing linguistic insights on the depressive status of test subjects. We believe that this lexicon will enhance early depression detection in people on social media. Future work will need to be carried out on a larger corpus and with more complex methods.


Author(s):  
Tarcisio Torres Silva

Brazilian population spends a lot of time on social media. The average access from any device is 3 hours and 39 minutes (The Global, 2018). On the other hand, the country leads the numbers of anxiety disorder among the population. According to the World Health Organization, the incidence in the country is 9.3%, while the world average is 3.5%. This number is even higher in big cities, reaching 19.9% in the city of São Paulo (Horta, 2019). Possible causes are economic instability, social changes and violence (Horta, 2019). Add to that the political polarization in recent years and the intensive use of gadgets, private chat applications, such as Whatsapp, and social networks. In this work, we focus on the influence of social networks in the development of Brazilian anxiety. Our hypothesis is that the intensity of use reinforces the existence of other factors of anxiety increase (economy, violence, political division, etc.) through the sharing of news, besides adding others, such as self-display, performativity and the need of always being in evidence in social networks. As a method, we will work with content analysis (news and images) from the main social networking platforms used in Brazil.


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