Be sure to check it out here: https://theconversation.com/four-experts-investigate-how-the-5g-coronavirus-conspiracy-theory-began-139137?utm_medium=amptwitter&utm_source=twitter
Despite concerns, COVID-19 shows how social media has become an essential tool in the democratisation of knowledge
Check out our new blog post on the LSE Impact blog:
Do people really believe the 5G coronavirus (COVID-19) conspiracy theory?
As social distancing continues and covid-19 patients self-isolate, there are many coronavirus conspiracy theories which have been spreading on social media platforms. One of them has been falsely claiming that 5g technology has been responsible for the spread of the virus.
Other conspiracy theories have traced the origin of the virus to the Chinese government as a biological weapon. Australia hit back at the United States for the link that put a connection between the Wuhan Institute of Virology and COVID-19, and the New York Times noted that China Lab rejected the claims.
Fact checking has been more important than ever as there are other 10 current conspiracy theories, for instance, see this article COVID: Top 10 current conspiracy theories and one of them involves Bill Gates as a scapegoat. The World Health organisation has noted that during the coronavirus pandemic a battle against false information has also been taking place. Fact-checking has been more important than ever during the covid-19 pandemic. As conspiracy theorists run rampant across the digital landscape.
It has become more important to rapidly analyse content from social media platforms to understand the drivers of false news and to develop strategies to fight misinformation. In our latest studies published in the Journal of Medical Internet Research (JMIR) entitled COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data we analyse the 5G Covid-19 conspiracy theory. More specifically, we set out to investigate which Twitter users and Web sources were influential.
We found that Infowars and other fake news websites were influential and Twitter users linked to YouTube videos which argued for the link between 5G and COVID-19. We also found that an individual account was set up to spread the conspiracy theory which should have been taken down by Twitter much sooner.
Overall we found that only a handful of users truly believed the conspiracy theory (35%), and others users inadvertently raised its profile to make it a trending topic on Twitter. We recommend that other Twitter users report such misinformation rather than engage and/or amplify it.
Our paper full paper can be read here: https://www.jmir.org/2020/5/e19458/
‘COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data’
Our published paper is now live on the Journal of Medical Internet Research (@jmirpub)!
‘COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data’
LINK = jmir.org/2020/5/e19458/
Battling Fake News and (In)Security during #COVID19
Our new article for E-International Relations can be found here: https://www.e-ir.info/2020/04/23/battling-fake-news-and-insecurity-during-covid-19/#.Xqb5k4I5UmY.twitter
Dangerous Messages or Satire? Analysing the Conspiracy Theory Linking 5G to COVID-19 through Social Network Analysis
Our pre-peer review preprint is now online for Journal of Medical Internet Research:
(https://www.jmir.org/preprint/19458)
ABSTRACT
Background:
Since the beginning of December 2019 COVID-19 has spread rapidly around the world which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them a popular theory has linked 5G to the spread of COVID-19 leading to misinformation and the burning of 5G towers in the United Kingdom. The understanding of the drivers of fake news and quick policies oriented to isolate and rebate misinformation are key to combating it.
Objective:
To develop an understanding of the drivers of the 5G COVID-19 conspiracy theory and strategies to deal with such misinformation
Methods:
This paper performs a Social Network Analysis and Content Analysis of Twitter data from a 7-day period in which the #5GCoronavirus hashtag was trending on Twitter. Influential users are analyzed through social network graph clusters. The size of the nodes is ranked by their betweenness centrality score and the graph’s vertices are grouped by cluster using the Clauset-Newman-Moore algorithm. Topics and Web sources utilized by users are examined.
Results:
Social Network Analysis identified that the two largest network structures consisted of an isolates group and a broadcast group. The analysis also reveals that there was a lack of authority figure who was actively combating such misinformation. Content analysis reveals that only 35% of individual tweets contained views that 5G and COVID-19 were linked whereas 32% denounced the conspiracy theory and 33% were general tweets not expressing any personal views or opinions. Thus, 65% of tweets derived from non-conspiracy theory supporters which suggests that although the topic attracted high volume only a handful of users genuinely believed the conspiracy. This paper also shows that fake news websites were the most popular Web-source shared by users although YouTube videos were also shared. The study also identified an account whose sole aim was to spread the conspiracy theory on Twitter.
Conclusions:
The combination of quick targeted interventions oriented to delegitimize the sources of fake information are key to reducing their impact. Those users voicing their views against the conspiracy theory, link-baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions which are based on fake news. Many social media platforms provide users with the ability to report inappropriate content. This study is the first to analyse the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future.
Find the preprint here: https://www.jmir.org/preprint/19458
The Constellation of Joe Wicks
Dr Wasim Ahmed, University of Newcastle, UK; Dr Opeoluwa Aiyenitaju, Manchester Metropolitan University, UK; Professor Simon Chadwick, Emlyon Business School, France; Dr Alex Fenton, University of Salford, UK.

Joe Wicks, the British fitness coach who initially shot to prominence on Instagram, is continuing to engage children and fitness fanatics across the world. With many people either social isolating or locked down, Wicks’ daily P.E. workouts delivered via YouTube have become a staple of household routines.
In an earlier article, we noted how Wicks’ workouts have driven the development of a huge social media communications network. This includes via platforms such as Instagram and Twitter. We are still monitoring Wicks and his influence in a research project that uses mixed methods research.
The questions underpinning our analysis are: What is the nature of the health and well-being content being generated by this influencer? How is it moving through social media networks? And what is user sentiment towards this content?
Following our latest analysis of communications posted by and about Joe Wicks, we have identified that they appear in a form that is something akin to a constellation (Figure 1). In this pattern of communications, Wicks is the big influencer star, although he is surrounded by a host of other influencer stars albeit ones that shine less brightly in this context.

A closer examination of the constellation (which we refer to as the #Wicksophere) reveals the identities of other influencer stars in the constellation. Among these are television personality and journalist Piers Morgan, and writer and journalist Caitlin Moran (see Figure 2).

This observation is consistent with our earlier findings that Wicks constitutes the focal node in a broadcast network form, but that content about him is in turn driven by a series of other high profile, often famous personalities and influencers.
However, in this iteration of our study we employed a measure of betweenness centrality — a measure of the ‘influence of a vertex over the flow of information between every pair of vertices under the assumption that information primarily flows over the shortest paths between them’.
This revealed a significant influencer over the last week or so has been an individual tweeting via the account @fliceverett (see Figure 3). This person is neither famous nor an established social media influencer. Instead, she impacted upon the flow of communications about Joe Wicks following a posting set in the context of peoples’ Covid-19 coping strategies (see Figure 4).


Nevertheless, when we switched the nodes and labels associated with Wicks’ constellation to rank by number of followers rather than betweenness centrality, perhaps a slightly more stable view of the universe emerged (see Figure 5).
It is interesting to note that in this version of the constellation, planets such as comedian Stephen Fry and footballer Sergio Aguero are orbiting the suns of YouTube, CNN and Instagram. One can still see the space dust trajectory around Joe Wicks and Flic Everett, but one needs a more powerful telescope to zoom in and see them.

Our work examining Joe Wicks, social influencers and public health policy continues. Hence, we will be reporting again soon via this and our other digital channels. For the time-being, we nevertheless conclude that Wicks continues to be a significant public health influencer during this period when schools and other institutions are in lockdown.
We also note the space dust glitterati of influencers congregated around Wicks. However, we now also note that the meteor shower of influencers from within the general population may also periodically shoot through social media constellations.
Furthermore, it is clear from our initial work here that how one employs techniques of social network analysis also influences how collectively we view people such as Joe Wicks, Flic Everett and Piers Morgan.
This blog was originally posted on Professor Simon Chadwick’s Medium blog.
New output! (*Open Access*) Contextualising the 2019 E-Cigarette Health Scare: Insights from Twitter
Keywords: electronic nicotine delivery systems; social media; smoking; twitter
New Article out in The Conversation: Tyson Fury defeated Deontay Wilder in the social media fight as well as in the ring
Athletes in all sports increasingly need to be visible across social media in order to build their brands. This article takes a look at the social network aftermath of Tyson Fury v.s. Deontay Wilder.
Be sure to check out the full article here:
Special Issue “Social Media and Public Health: Opportunities and Challenges”
Special Issue Information
Dear Colleagues,
We are organising a Special Issue on the use of social media within public health in the journal International Journal of Environmental Research and Public Health. This journal is scientific and peer-reviewed, and publishes articles and communications in the interdisciplinary area of environmental health sciences and public health. For detailed information on the journal, we refer you to https://www.mdpi.com/journal/ijerph.
We are living in an information age, with more user-generated data being generated today than ever before with the widespread popularity of social media. Social media platforms provide the ability to extract intelligence for public health purposes. This can range from using social media to track the spread of diseases to the opinion mining of public views and opinions.
Social media has the potential to provide rapid insights into unfolding public health emergencies such as infectious disease outbreaks. They can also be drawn upon for rapid, survey-based insights into various health topics. Social media has also begun to be utilised by medical professionals for the purposes of sharing scholarly works, international collaboration, and engaging in policy debates.
A benefit of social media platforms for gaining insight into health is that they have the ability to capture unfiltered public opinion in large volumes, avoiding potential biases introduced by surveys or interviews. Social media platforms can also be utilised to pilot surveys, for instance, though the use of Twitter polls.
Social media data have also been drawn upon in medical emergencies and crisis situations as a public health surveillance tool. A number of software and online tools also exist that have been developed specifically to aide public health research utilising social media data. In recent years, ethical issues of retrieving and analysing data have also arisen.
Henceforth, we invite researchers who are working in the broad areas of social media and health to submit their research on these issues for publication in this Special Issue.
This Special Issue is open to any submission related to social media and public health, and the keywords provide some examples of various possibilities.
Dr. Wasim Ahmed
Dr. Josep Vidal-Alaball
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.
Keywords
- Social media
- Public health
- Disease surveillance
- Health promotion
- E-health
- Telehealth
- Ethics
- Health informatics
