Index
Anita Lavorgna
(University of Southampton, UK)
ISBN: 978-1-80071-522-6, eISBN: 978-1-80071-521-9
Publication date: 30 April 2021
This content is currently only available as a PDF
Citation
Lavorgna, A. (2021), "Index", Information Pollution as Social Harm: Investigating the Digital Drift of Medical Misinformation in a Time of Crisis (Emerald Studies In Digital Crime, Technology and Social Harms), Emerald Publishing Limited, Leeds, pp. 89-93. https://doi.org/10.1108/978-1-80071-521-920211006
Publisher
:Emerald Publishing Limited
Copyright © 2021 Emerald Publishing Limited
INDEX
Academia
, 4
Academic
, 11, 34, 40
imaginaries
, 45
jurisdiction
, 57
Activist
, 4, 57
Actor
, 27, 51, 63
Agency
, 12, 25, 39, 44, 53–55, 60
Alternative
, 4–6, 8, 18, 29–31, 35, 38, 40, 46, 61, 65
Anonymity
, 19
Anthropology
, 17
Antivax
, 6, 51
beliefs
, 54
clusters
, 6
communicative strategies in
, 65
Architectural change
, 63
Argumentation
, 41
Attachment
, 28
Autism
, 6
Automatic
, 7, 31
Belief
, 7, 22, 29, 34
antivax
, 54
conspiracy
, 39–40, 41, 43, 55, 60, 65
health-related beliefs
, 60
neutralizing
, 24
perseverance
, 41
philosophical
, 19
spiritual
, 55
Belonging
, 17, 28, 34, 43
of CAMs
, 62
outgroup hostility and ingroup
, 46, 49
Big data
, 7, 15, 50
digital positivism on
, 15
Body
, 4, 46, 53, 55, 57
Bulimic society
, 26, 58
Business as usual
, 13, 33
CAM
, 4
community
, 37
intervention and monitoring
, 63
researchers
, 62
Catalysis event
, 28, 32–33
Celebrity
, 34, 63
Children
, 30, 36, 53, 54
China
, 1, 51
Choice
, 24, 30, 50, 53, 61
Collective
, 5, 11, 25, 52
moral agents
, 61
moral responsibility
, 60–61
Community
, 28, 30, 33, 37, 41, 46, 49, 54, 60
Conspiracy
, 6, 31, 51, 66
beliefs
, 39, 42
conspiracy-led narratives
, 38
Conspiratorial thinking
, 38–39, 41
Contagion
, 1, 3, 48
Context
, 5
of COVID-19
, 21
of crime and deviancy
, 13
of crossdisciplinarity
, 57–59
cultural and discursive
, 7
culture
, 25
exploratory psycho-criminological analysis
, 18
of health-related information
, 9–10
information
, 41
of interdisciplinary analyses
, 17
medical
, 63
medical misinformation
, 15
of medical misinformation
, 61
of pandemic
, 14, 32, 53
of public health
, 60
of social networks
, 44
of systemically underfunded education sector
, 32
of technology-facilitated social harms
, 2, 44, 55, 57, 63
of vaccination
, 66
Control
, 10, 67
compensatory sense of
, 39
crime
, 25
of information
, 26
institutional
, 54
sense of
, 53
social
, 51
social
, 54, 65
Convergent technologies
, 25, 32, 44, 60
Conversation
, 3, 7, 18, 20–21, 28, 49, 60, 63
Coronavirus
, 1, 11, 30, 36, 48, 57
Counter-culture
, 39
Counterinformation
, 3, 14, 50–51
COVID-19
, 1, 12–13, 17–18, 21, 31, 38, 48, 54, 63
Covidiot
, 47–48
Crime
, 2, 9, 54
crime control industry
, 10
during pandemic
, 13
prevention and reduction
, 25
Criminology
, 4, 9, 15, 22, 25
Crisis
, 2, 12, 50, 53, 58
Critical care
, 1
Crossdisciplinarity
, 57
Culpability
, 10
Cultural
, 4, 5
cognition affects
, 66
contexts
, 7
criminology
, 22, 25–26
spaces
, 25
values
, 66
Culture
, 10, 25, 38–39, 47, 50
Cybersanctioning
, 65
Cyberspace
, 4, 9, 10, 14, 24, 53, 59, 64
Data science
, 4, 6
Dataveillance
, 38
Death
, 1, 54, 65
Debunker
, 4, 33, 64
Debunking
, 8, 65, 67
Decree
, 1
Defensiveness
, 47
Denial
, 17, 45, 52, 66
Deprivation
, 39, 51, 58
Determinism
, 24, 58
Deviance
, 2, 9–10, 16, 22–23, 25
Deviant
, 2, 16, 22–23, 25
Digital
, 9, 15, 18, 20, 28, 44, 50, 59
Disease
, 6, 31, 53, 57
Displacement
, 67
Displacing
, 14, 33, 54
Distancing
, 14, 33–34, 54
Doctor
, 29, 32–34, 37, 44, 62, 64
Doubt
, 5, 8, 30, 44
Drift
, 23, 32, 50, 58, 60
Dual city
, 16
Duration
, 49, 60
Echo chamber
, 7, 50
Education
, 29, 32, 37, 53
Effective
, 4, 9, 13, 25, 62, 66, 67
Elite
, 38, 40, 45–46
Emergency
, 33, 38, 56
Emotion
, 66
Empowerment
, 5, 53, 55
Epistemic mistrust
, 38, 40
Epistemology
, 15, 40
Establishment
, 5, 33, 31, 34, 37
Ethic
, 19, 21, 26, 37, 44
Ethnography
, 18, 22, 30, 36, 51, 55, 57
Europe
, 1
European
, 2, 42, 46, 51–52
Event
, 9–10, 32–33, 37, 54
Exceptionalism
, 13
Existentialism
, 19
Expert
, 6, 33, 40, 43–44, 54, 59, 66
Expertise
, 5, 44, 59, 64
Exposure
, 21–23, 56, 58, 60
Facebook
, 18, 29, 30–31
Fact-checking
, 65
Fake
, 3–4, 35, 44–45
Fear
, 2, 8, 49, 56, 64–65
Feminism
, 53
Filter bubble
, 50
Filtering
, 6–7
Forum
, 19
Frame
, 27, 43–44, 60
Framing
, 1, 21
Fraud
, 4–6, 8, 10, 12, 45
Freedom
, 23, 29, 52, 56, 58
Frequency
, 34, 49, 60
Fringe
, 29, 39, 46, 65
Galileo
, 46
Gender
, 53
Government
, 31, 38, 46, 54
Harassment
, 21
Harm
, 1, 5, 9, 22, 2
Harmful
, 8, 11, 25, 58, 62
Health
, 1, 4, 13, 17, 28, 31, 37, 41, 47, 53, 56–57, 62, 66
health-related beliefs
, 60
individual moral responsibility in
, 61
Healthcare
, 1, 4, 5, 12–13
Help
, 13–14, 16, 30, 36, 40, 58
Heretics
, 46
Hope
, 4, 29, 36, 38, 64
Hospital
, 12, 30, 47
Hospitalization
, 1, 49
Hostility
, 46
Hygiene theatre
, 32
Identity
, 22, 25, 27, 34, 42–43, 46, 49, 51, 58
Ideology
, 52, 66
Illness
, 5, 55
Image
, 19–20, 43, 48, 55, 64
Immigration
, 51
Immuni
, 56
Impact
, 1–2, 4, 8, 10, 13, 19, 41, 66
Impression
, 6, 27
Incentive
, 4, 65
Individual
, 2, 5, 6, 9, 12, 15, 20, 24, 33, 39, 46, 50, 53, 55, 66
Infodemic
, 3
Information pollution
, 2–3, 9, 12–13, 16, 59
Ingroup
, 25, 39, 48, 49
Injustice
, 23, 26, 39–40
Intensity
, 49, 60
Intensive care
, 1, 3, 47
Interviews
, 17, 21, 42, 56
Intragroup
, 41, 43
Involvement
, 23, 28–29, 34
Irrational
, 66
Italy
, 1–2, 51–52, 54, 62, 64
Knowledge
, 2–5, 11, 21, 40–42, 45, 59, 65
Late modernity
, 5, 26, 64
Legal
, 9, 11, 25, 54
Legitimacy
, 5, 10, 23, 33, 35, 62
LGBTQ
, 53
Libertarian
, 52–53, 60
Liberty
, 39, 66
Lifestyle
, 3, 14, 18, 31, 53
Lockdown
, 2, 13, 17, 47, 52, 54
Lombardia
, 13, 17, 32, 49, 52, 54
Mala in se, 2
Mask
, 8, 13, 33, 42, 51, 24
Media
, 39, 41–42, 51, 55, 56, 59, 61–64
Medicine
, 4, 12, 35, 61
Meme
, 19, 20, 47–48
Mental health
, 2
Methodology
, 25
Micro-deviation
, 10
Misinformation
, 3, 5, 7, 9, 13, 22, 44, 57, 60–61
Mistrust
, 38, 40, 51, 65
Moral
, 11, 30, 35, 52, 61
Morality
, 44
Motivation
, 7, 20, 27, 31, 36
Movement
, 47, 51, 54
Music
, 48
Narrative
, 44, 60, 64
Natural Language Processing 7
Negligence
, 10, 35
Net neutrality
, 60
Network
, 2, 28, 34, 43, 58, 61
Normalization
, 16
Nurse
, 30, 35
Official
, 21, 33, 37, 41–42, 45, 54
Offline
, 16, 31–32, 34, 58
Online intermediaries
, 7, 61, 63, 67
Outbreak
, 1–2, 6, 13, 18
Outgroup
, 39, 40, 46, 54
Outsider
, 40, 46, 54
Pandemic
, 1–3, 30, 55, 57, 61, 64
Parent
, 6, 32
Parrhesia
, 41
Paternal internet
, 60
Patient
, 5, 31, 35
PayPal
, 36
Pedagogical philosophies
, 53
Permits
, 54
Pharma
, 35
Placebo
, 5, 22
Platform
, 4, 42, 44, 56, 63
Polarization
, 67
Polarized logic
, 6, 13, 22, 39
Policymaking
, 64
Political homogeneity
, 3, 7, 16, 19, 39, 51
Politics
, 19, 25, 50–51
Populism
, 4, 45
Positivism
, 15
Power
, 22, 35, 39, 41, 44, 48, 56
Pragmatism
, 58
Precautionary principle
, 13
Predatory
, 44–45
Presentation
, 3, 27, 43
Prevention
, 25, 66–67
Preventive measures
, 29, 31, 48, 51, 52, 54, 62
Primrose
, 54
Privacy
, 55–56
Private companies
, 5, 12, 22, 42, 50, 56, 61
Professional
, 14, 29, 37, 62, 64
Profit
, 36
Propagator
, 17, 27
Protective behaviors
, 8, 33
Provider
, 27, 31, 66
Pseudoscience
, 4, 38
Psychology
, 4, 17
Public
, 1, 8, 18, 29, 37, 49, 60–61, 64, 66
Public health
, 1, 13, 60, 63, 66
Publication
, 42, 44–45, 56, 60
Published
, 3, 18, 20, 36
Qanon
, 38
Quack
, 4, 10, 37
Qualitative analyses
, 15–16, 25, 50, 58
Quality
, 34, 60
Quarantine
, 1
Radical right
, 51
Rational calculation
, 17, 40, 44, 65
Reactance
, 52
Reason
, 3, 7, 18, 35, 62, 64, 66
Receiver
, 3, 28–29, 32, 45, 59
Regulation
, 10, 27, 62
Regulatory frameworks
, 7, 10, 12, 61–63
Religion
, 55
Religious identification
, 16, 19, 52–53
Reputable
, 34, 45
Reputation
, 34, 36
Researcher
, 44, 56, 64
Responsibility
, 8, 11, 30, 35, 39, 53, 61–63
Right to try
, 29
Risk
, 10, 16–17, 26, 48, 58, 66
Safe
, 4, 21, 34, 39
Safety
, 6, 8–9, 12, 33, 37
School
, 32–33, 53
Science
, 4, 6, 16–17, 37, 40, 45–46, 55, 64, 66
Science communication
, 17, 64
Scientific establishment
, 45–46, 52, 64, 66
Scientist
, 33, 44, 64
Scientocracy
, 45
Self
, 5, 19, 43, 53, 55
Self-help
, 5
Situational contexts
, 23, 32–33, 50, 61
Skeptic
, 33, 41, 64
Social harms
, 1, 11, 14, 16, 57, 61, 64
Social media
, 4–5, 8, 16, 19, 21, 29, 33, 42, 51, 59, 67
Social sciences
, 20, 57–58
Socialization
, 16–17, 24, 43, 58, 60
Socio-technical approach
, 59
Sociology
, 4, 25
Spiritual
, 14, 55, 65
Spirituality
, 55
State
, 12, 29, 36, 38, 53
Status
, 21, 29, 43, 46, 62, 64–65
Stereotype
, 40, 60, 39, 57, 65
Stigmatization
, 39, 57, 65
Storytelling
, 20, 27, 41, 44
Subcultural theories
, 23, 28
Subculture
, 24–25, 43
Success
, 7, 22, 39, 54, 59–60
Support
, 5, 13, 25, 27, 31, 49, 55
Supporter
, 20, 30–31–33, 59, 64
Symbol
, 49, 54
Technical intervention
, 50, 59
Technological sophistication
, 7, 10, 16
Technology
, 2, 18, 22, 38, 64
Telegram
, 32, 50
Television
, 32, 44, 64
Test
, 12
Testing
, 12–13, 56
Training
, 37, 44
Transgression
, 25, 30, 46
Trust
, 5, 8, 21, 63, 66
Truth
, 41–42, 49, 56, 64
Twitter
, 33
Uncertainty
, 17
United States
, 12–13, 51, 53
Us vs. them narrative
, 24, 36, 39, 46, 52, 64
Utilizer
, 27–29
Vaccination
, 6, 32, 38, 54, 61
Vaccine
, 12, 29, 38, 54, 65
Validation
, 35–36
Victim
, 9, 14, 29, 30, 35, 40
Video
, 20, 29, 42, 48, 55
Vulnerability
, 31, 33, 57, 63
Vulnerable victims
, 2, 9, 13, 35, 54
Wave
, 2, 17, 30, 49
Website
, 7–8, 18–19, 31, 36
Wellbeing
, 4, 22, 55
Wellness
, 31, 36, 51
WhatsApp
, 32, 50
World Health Organization (WHO)
, 1
YouTube
, 42