Facebook's Architecture Undermines Vaccine Misinformation Removal
Efforts
- URL: http://arxiv.org/abs/2202.02172v2
- Date: Thu, 11 Aug 2022 15:53:20 GMT
- Title: Facebook's Architecture Undermines Vaccine Misinformation Removal
Efforts
- Authors: David A. Broniatowski, Jiayan Gu, Amelia M. Jamison, Joseph R. Simons,
Lorien C. Abroms
- Abstract summary: 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.
- Score: 0.25811544151644095
- License: http://creativecommons.org/publicdomain/zero/1.0/
- Abstract: Misinformation promotes distrust in science, undermines public health, and
may drive civil unrest. Vaccine misinformation, in particular, has stalled
efforts to overcome the COVID-19 pandemic, prompting social media platforms'
attempts to reduce it. Some have questioned whether "soft" content moderation
remedies -- e.g., flagging and downranking misinformation -- were successful,
suggesting that the addition of "hard" content remedies -- e.g., deplatforming
and content bans -- is necessary. We therefore examined whether Facebook's
vaccine misinformation content removal policies were effective. Here, we show
that Facebook's policies reduced the number of anti-vaccine posts but also
caused several perverse effects: pro-vaccine content was also removed,
engagement with remaining anti-vaccine content repeatedly recovered to
pre-policy levels, and this content became more misinformative, more
politically polarised, and more likely to be seen in users' newsfeeds. We
explain these results as an unintended consequence of Facebook's design goal:
promoting community formation. Members of communities dedicated to vaccine
refusal appear to seek out misinformation from multiple sources. Community
administrators make use of several channels afforded by the Facebook platform
to disseminate misinformation. Our findings suggest the need to address how
social media platform architecture enables community formation and mobilisation
around misinformative topics when managing the spread of online content.
Related papers
- Vax-Culture: A Dataset for Studying Vaccine Discourse on Twitter [3.768191396638854]
Vaccine hesitancy continues to be a main challenge for public health officials during the COVID-19 pandemic.
We present Vax-Culture, a novel Twitter COVID-19 dataset consisting of 6373 vaccine-related tweets.
We hope this can lead to effective and targeted public health communication strategies for reaching individuals with anti-vaccine beliefs.
arXiv Detail & Related papers (2023-04-13T23:04:30Z) - Understanding COVID-19 Vaccine Campaign on Facebook using Minimal
Supervision [28.14874371042193]
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.
arXiv Detail & Related papers (2022-10-18T17:54:06Z) - Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy
among Healthcare Workers [64.1526243118151]
We find that doctors are overall more positive toward the COVID-19 vaccines.
Doctors are more concerned with the effectiveness of the vaccines over newer variants.
Nurses pay more attention to the potential side effects on children.
arXiv Detail & Related papers (2022-09-11T14:22:16Z) - 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) - Insta-VAX: A Multimodal Benchmark for Anti-Vaccine and Misinformation
Posts Detection on Social Media [32.252687203366605]
Anti-vaccine posts on social media have been shown to create confusion and reduce the publics confidence in vaccines.
Insta-VAX is a new multi-modal dataset consisting of a sample of 64,957 Instagram posts related to human vaccines.
arXiv Detail & Related papers (2021-12-15T20:34:57Z) - A Python Package to Detect Anti-Vaccine Users on Twitter [1.1602089225841632]
Anti-vaccine hesitancy has been recently driven by the anti-vaccine narratives shared online.
We introduce a Python package capable of analyzing Twitter profiles to assess how likely that profile is to spread anti-vaccine sentiment.
We leverage the data on such users to understand what are the moral and emotional characteristics of anti-vaccine spreaders.
arXiv Detail & Related papers (2021-10-21T17:59:25Z) - COVID-19 Vaccines: Characterizing Misinformation Campaigns and Vaccine
Hesitancy on Twitter [8.181808709549227]
We investigate misinformation and conspiracy campaigns and their characteristic behaviours for COVID-19 vaccines.
We identify whether coordinated efforts are used to promote misinformation in vaccine related discussions.
We study the large anti-vaccine misinformation community and smaller anti-vaccine communities, including a far-right anti-vaccine conspiracy group.
arXiv Detail & Related papers (2021-06-15T20:32:10Z) - News consumption and social media regulations policy [70.31753171707005]
We analyze two social media that enforced opposite moderation methods, Twitter and Gab, to assess the interplay between news consumption and content regulation.
Our results show that the presence of moderation pursued by Twitter produces a significant reduction of questionable content.
The lack of clear regulation on Gab results in the tendency of the user to engage with both types of content, showing a slight preference for the questionable ones which may account for a dissing/endorsement behavior.
arXiv Detail & Related papers (2021-06-07T19:26:32Z) - Echo Chambers on Social Media: A comparative analysis [64.2256216637683]
We introduce an operational definition of echo chambers and perform a massive comparative analysis on 1B pieces of contents produced by 1M users on four social media platforms.
We infer the leaning of users about controversial topics and reconstruct their interaction networks by analyzing different features.
We find support for the hypothesis that platforms implementing news feed algorithms like Facebook may elicit the emergence of echo-chambers.
arXiv Detail & Related papers (2020-04-20T20:00:27Z) - 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.