One year of COVID-19 vaccine misinformation on Twitter

@article{Pierri2022OneYO,
  title={One year of COVID-19 vaccine misinformation on Twitter},
  author={Francesco Pierri and Matthew R. DeVerna and Kai-Cheng Yang and David Axelrod and John Bryden and Filippo Menczer},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.01675}
}
Vaccinations play a critical role in mitigating the impact of COVID-19 and other diseases. This study explores COVID-19 vaccine misinformation circulating on Twitter during 2021, when vaccines were being released to the public in an effort to mitigate the global pandemic. Our findings show a low prevalence of low-credibility information compared to mainstream news. However, most popular low-credibility sources had larger reshare volumes than authoritative sources such as the CDC and WHO. We… 

Figures and Tables from this paper

Identifying and Characterizing Behavioral Classes of Radicalization within the QAnon Conspiracy on Twitter

A framework that exploits both social interaction and content signals to uncover evidence of user radicalization or support for QAnon is proposed, and a multivariate metric of radicalization is validated, using a large dataset of 240M tweets collected in the run-up to the 2020 US Presidential election.

3 Problem Formulation and Trajectory Definition

  • Computer Science
  • 2022
This paper proposes a novel approach for the detection of troll accounts, which consists of classifying trajectories of accounts’ online activities as belonging to either a troll account or to an organic user account, and exploits the classified trajectories to compute a metric, namely “troll score", which allows to quantify the extent to which an account behaves like a troll.

Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine

Overall, the findings show that Facebook and Twitter are still vulnerable to abuse, especially during crises: the need to urgently address this issue to preserve the integrity of online conversations is highlighted.

References

SHOWING 1-10 OF 64 REFERENCES

COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Data Set of Antivaccine Content, Vaccine Misinformation, and Conspiracies

A dataset of Twitter posts and Twitter accounts that publicly exhibit a strong anti-vaccine stance is described that can be used in studying anti- vaccines misinformation on social media and enable a better understanding of vaccine hesitancy.

COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives

COVID-19 vaccine hesitancy has increased concerns about vaccine uptake required to overcome the pandemic and protect public health. A critical factor associated with anti-vaccine attitudes is the

The COVID-19 Infodemic: Twitter versus Facebook

This work analyzes the prevalence and diffusion of links to low-credibility content about the pandemic across two major social media platforms, Twitter and Facebook and highlights limits imposed by inconsistent data-access policies on the capability to study harmful manipulations of information ecosystems.

CoVaxxy: A global collection of English Twitter posts about COVID-19 vaccines

A dataset of English-language Twitter posts about COVID19 vaccines and a live dashboard to allow people to track hashtag changes over time is developed and can be used in studies about the impact of online information on COVID-19 vaccine uptake and health outcomes.

The Disinformation Dozen: An Exploratory Analysis of Covid-19 Disinformation Proliferation on Twitter

In this study, an exploratory analysis on Disinfo12’s activity on Twitter is performed aiming at identifying their sharing strategies, favorite sources of information, and potential secondary actors contributing to the proliferation of questionable narratives.

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

The results support a need for interventions that address misbeliefs, allowing individuals to make better-informed health decisions and show evidence for a directional relationship from online misinformation to vaccine hesitancy.

Social media and vaccine hesitancy

The use of social media to organise offline action to be highly predictive of the belief that vaccinations are unsafe, with such beliefs mounting as more organisation occurs on social media.

Assessing the risks of "infodemics" in response to COVID-19 epidemics

It is found that waves of unreliable and low-quality information anticipate the epidemic ones, exposing entire countries to irrational social behavior and serious threats for public health.

Identification and characterization of misinformation superspreaders on social media

This hypothesis that users who consistently disseminate a disproportionate amount of low-credibility content — so-called superspreaders — are at the center of this problem is quantitatively tested and simple metrics are introduced to predict the top misinformation superspreader several months into the future.

Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale

An analysis of Twitter discourse on over 1 billion tweets related to COVID-19 over a year to identify and investigate prevalent misinformation narratives and trends and found that users who shared both questionable and conspiracy-related content were clustered more closely in the network than others, supporting the hypothesis that echo chambers can contribute to the spread of health misinfodemics.
...