Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision

• URL: http://arxiv.org/abs/2210.10031v2
• Date: Wed, 16 Nov 2022 13:29:59 GMT
• Title: Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
• Authors: Tunazzina Islam, Dan Goldwasser
• Abstract summary: In the age of social media, where billions of internet users share information and opinions, the negative impact of pandemics is not limited to the physical world. This global infodemic jeopardizes measures to control the pandemic by creating panic, vaccine hesitancy, and fragmented social response. Platforms like Facebook allow advertisers to adapt their messaging to target different demographics and help alleviate or exacerbate the infodemic problem depending on their content.
• Score: 28.14874371042193
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In the age of social media, where billions of internet users share information and opinions, the negative impact of pandemics is not limited to the physical world. It provokes a surge of incomplete, biased, and incorrect information, also known as an infodemic. This global infodemic jeopardizes measures to control the pandemic by creating panic, vaccine hesitancy, and fragmented social response. Platforms like Facebook allow advertisers to adapt their messaging to target different demographics and help alleviate or exacerbate the infodemic problem depending on their content. In this paper, we propose a minimally supervised multi-task learning framework for understanding messaging on Facebook related to the COVID vaccine by identifying ad themes and moral foundations. Furthermore, we perform a more nuanced thematic analysis of messaging tactics of vaccine campaigns on social media so that policymakers can make better decisions on pandemic control.

Related papers

• Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination [1.1606619391009658]
  The COVID-19 pandemic exposed significant weaknesses in the healthcare information system. The overwhelming volume of misinformation on social media created challenges to motivate people to take proper precautions and get vaccinated. This study addresses scientific communication and public motivation in social media.
  arXiv  Detail & Related papers  (2024-06-15T02:36:11Z)
• Event Detection from Social Media for Epidemic Prediction [76.90779562626541]
  We develop a framework to extract and analyze epidemic-related events from social media posts. Experimentation reveals how ED models trained on COVID-based SPEED can effectively detect epidemic events for three unseen epidemics. We show that reporting sharp increases in the extracted events by our framework can provide warnings 4-9 weeks earlier than the WHO epidemic declaration for Monkeypox.
  arXiv  Detail & Related papers  (2024-04-02T06:31:17Z)
• Global misinformation spillovers in the online vaccination debate before and during COVID-19 [5.1598868036106085]
  Anti-vaccination views pervade online social media, fueling distrust in scientific expertise and increasing vaccine-hesitant individuals. Here, we leverage 316 million vaccine-related Twitter messages in 18 languages to quantify misinformation flows between users exposed to anti-vaccination (no-vax) content. We find that, during the pandemic, no-vax communities became more central in the country-specific debates and their cross-border connections strengthened, revealing a global Twitter anti-vaccination network.
  arXiv  Detail & Related papers  (2022-11-21T14:32:37Z)
• Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based Processes [79.79659145328856]
  We argue that when misinformation proliferates, this happens because the social media environment enables adherence to misinformation. We make the case that polarization and misinformation adherence are closely tied.
  arXiv  Detail & Related papers  (2022-06-30T12:34:24Z)
• "COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation [60.268682953952506]
  We estimate the extent to which misinformation has influenced the course of the COVID-19 pandemic using natural language processing models. We provide a strategy to combat social media posts that are likely to cause widespread harm.
  arXiv  Detail & Related papers  (2022-06-12T19:41:01Z)
• Facebook's Architecture Undermines Vaccine Misinformation Removal Efforts [0.25811544151644095]
  We examined whether Facebook's vaccine misinformation content removal policies were effective. We show that Facebook's policies reduced the number of anti-vaccine posts but also caused several perverse effects. We explain these results as an unintended consequence of Facebook's design goal: promoting community formation.
  arXiv  Detail & Related papers  (2022-02-04T15:00:00Z)
• Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic [11.737540072863405]
  This paper presents findings from a global survey on the extent of worldwide exposure to the COVID-19 infodemic. We find a strong association between perceived believability of misinformation and vaccination hesitancy. We discuss implications of our findings on public campaigns that proactively spread accurate information to countries that are more susceptible to the infodemic.
  arXiv  Detail & Related papers  (2021-04-22T05:09:25Z)
• The COVID-19 Infodemic: Twitter versus Facebook [5.135597127873748]
  We analyze the prevalence and diffusion of links to low-credibility content on Twitter and Facebook. A minority of accounts and pages exert a strong influence on each platform. The overt nature of this manipulation points to the need for societal-level solutions.
  arXiv  Detail & Related papers  (2020-12-17T02:00:43Z)
• COVI White Paper [67.04578448931741]
  Contact tracing is an essential tool to change the course of the Covid-19 pandemic. We present an overview of the rationale, design, ethical considerations and privacy strategy of COVI,' a Covid-19 public peer-to-peer contact tracing and risk awareness mobile application developed in Canada.
  arXiv  Detail & Related papers  (2020-05-18T07:40:49Z)
• Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
  The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918. Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases. We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
  arXiv  Detail & Related papers  (2020-04-16T15:53:42Z)
• Falling into the Echo Chamber: the Italian Vaccination Debate on Twitter [65.7192861893042]
  We examine the extent to which the vaccination debate on Twitter is conductive to potential outreach to the vaccination hesitant. We discover that the vaccination skeptics, as well as the advocates, reside in their own distinct "echo chambers" At the center of these echo chambers we find the ardent supporters, for which we build highly accurate network- and content-based classifiers.
  arXiv  Detail & Related papers  (2020-03-26T13:55:50Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.