Index

COVID-19 and the Media in Sub-Saharan Africa: Media Viability, Framing and Health Communication

ISBN: 978-1-80382-272-3, eISBN: 978-1-80382-271-6

Publication date: 19 September 2022

This content is currently only available as a PDF

Citation

(2022), "Index", Dralega, C.A. and Napakol, A. (Ed.) COVID-19 and the Media in Sub-Saharan Africa: Media Viability, Framing and Health Communication, Emerald Publishing Limited, Leeds, pp. 249-257. https://doi.org/10.1108/978-1-80382-271-620221014

Publisher

:

Emerald Publishing Limited

Copyright © 2022 Carol Azungi Dralega and Angella Napakol


INDEX

Note: Page numbers followed by “n” indicate notes.

Access
, 48

Addis Zemen
, 130

Advanced Market Commitment (AMC)
, 181

Advertising
, 60

Afan Oromoo (Berriisa)
, 51

Africa, political economy of print media in
, 49–50

Africa Task Force for Coronavirus (AFTCOR)
, 128

risk communications workgroup
, 129

African Centre for Media Excellence (ACME)
, 16, 117

African diaspora

context
, 198–200

diasporic and trans-national media consumption
, 201–202

findings
, 204–212

method
, 203–204

African media
, 130

African Union (AU)
, 128

Aftenposten
, 15

Agence France-Presse (AFP)
, 121

Al Alam (weekly newspaper)
, 51

Alpha Media Holdings (AMH)
, 60, 62, 70

Amharic (Addis Zemen daily newspaper)
, 51

Apostolic Faith
, 184

Application Programming Interface (APIs)
, 14

Artemesia Afra
, 169

Artemisia
, 169

Association of Kenyan in Norway (AKIN)
, 209

AstraZeneca
, 181–182, 194

Attitudes
, 80

Audiences
, 48

Behaviour change
, 80

communication
, 165

conceptual framework
, 165–173

findings and analysis
, 175–177

methodology
, 173–175

models and theories
, 172

sources
, 81

theoretical framework
, 81–83

Behaviour uptake
, 185–186

Behavioural approach
, 166

Behavioural change
, 101

Bergens
, 15

Biases
, 158–160

Biomediatization
, 118

Biomedical authority model
, 119

Boda bodas, 85n3

British Broadcasting Corporation (BBC)
, 6

British Cultural Studies
, 201

Bukedde
, 120

Business models
, 17

Camera shots
, 173

Capital (weekly newspaper)
, 37, 51–53, 56

Case study approach
, 51

Caution
, 140

CBS radio
, 41–44

Centre for Disease Control (CDC)
, 78, 103, 128

ChimpReports
, 4

conceptual framework
, 5–8

content formats, quality, and genre
, 11–14

findings
, 10–14

limitations and delimitations
, 9–10

methodology
, 8–9

recommendations
, 17–18

subscription packages for
, 11

China National Offshore Oil Corporation (CNOOC)
, 17

Chronicle, The
, 62, 69

Citizen, The
, 130

Coalition for Epidemic Preparedness Innovations (CEPI)
, 181

Coding
, 9

Cognitive dissonance
, 185–186

framework of
, 81–83

Colour
, 173

Commercial radio in Uganda
, 36–37

data analysis
, 41–42

data collection
, 41

limitation
, 45

media coverage of pandemics
, 37–38

methodology
, 41

presentation of results
, 42–43

radio models in Uganda
, 38–39

results
, 43–45

theoretical framework
, 39–41

Communication
, 118

systems
, 40

Community engagement
, 129

Community media
, 20

Community radio model
, 38–39

Consecutive-day sampling
, 41

Conspiracy theories
, 81

Consultancy
, 57

Contra flows
, 202

Conventional business models (see Mixed model)

Cooperation
, 136–137

Coping

in journalism
, 152

mechanisms and challenges in dealing with mental health issues
, 152–154

strategies and opportunities
, 55

theory
, 152–154

Copying mechanisms
, 160–161

Coronavirus Disease 2019 (COVID-19)
, 35, 77–78, 100, 131

burial problem
, 106

challenges
, 24

coverage
, 149

devastation
, 21

digitalisation, threats and opportunities
, 71–72

global economic effects
, 61

lockdown
, 200

news
, 43

pandemic
, 14, 60, 63

preventive measures
, 150–151

symptoms
, 180

vaccine development and future of prevention
, 177

vaccine perception and influence on uptake of vaccine
, 184–185

virus in South Africa
, 164

Coronavirus Task Forces
, 128

COVAX
, 181–182

Covid policing
, 110

Covidex, 87n4

Credibility
, 77, 79

literature review
, 83–84

methodology
, 84–86

results
, 86–96

sources
, 81

Credit cards
, 12–13

Critical political economy theory
, 40

Cross-sectional design
, 154

Cues to action
, 172

Cultural beliefs
, 169

Cultural empowerment
, 172

Cultural identity
, 172

Culture
, 211–212

Culture of free
, 4, 13, 16–17

Daily Monitor (DM)
, 16, 120–121, 153

Daily Nation
, 130

Death
, 105–107

Debit cards
, 12–13

Deductive analysis approach
, 101

Democracy
, 48

Design
, 173

Desk stories
, 42

Diaspora
, 201

Digital divide
, 209

Digital non-proficiency
, 209

Digital subscription
, 17

Digitalisation
, 71–72

Disclosures
, 158–160

Discourse
, 173

Distribution
, 173

Diversity
, 205

Duopoly
, 66

Durban, 106n8

Ebola outbreak
, 150

Econet
, 62

Economic frame
, 123

Economist, The
, 6

Editing
, 173

Education
, 137–138, 185

Educational approach
, 166

Elaboration Likelihood Model (ELM)
, 173

Emotion-focused approach
, 152

Encephalitis
, 183

English language print media
, 101

Entertainment education (EE)
, 164

via health promotion
, 165–166

Ethiopia, political economy of print media in
, 50–51

Ethiopian economy
, 48

Ethiopian Herald (daily newspaper)
, 51

Ethiopian media
, 48

Ethiopian Media Authority
, 52

Ethiopian Newspaper Industry
, 48

conceptual framework
, 48–49

conventional challenges of print media
, 54–55

coping strategies and opportunities
, 55

digital shift
, 54

factors affecting newspapers’ distribution
, 52–53

methodology
, 51–52

networking stakeholders and event organisation
, 56–57

newspapers repurpose online content for survival
, 55–56

political economy of print media in Africa
, 49–50

political economy of print media in Ethiopia
, 50–51

reading habit and circulation issues
, 53–54

Ethiopian Press Authority (EPA)
, 51

Event organisation
, 56–57

Expanded Programme on Immunisation (EPI)
, 183

Expectations
, 172

Experience discourse
, 119

Extended Parallel Process model (EPPM model)
, 101

Facebook
, 8, 84–85

Fear
, 139, 142

Fear appeals
, 99–100

framing of COVID-19
, 105–111

framing theory
, 102–103

and media messaging
, 101–102

methodology
, 103–105

Federal Association of Digital Publishers and Newspaper Publishers (BDZV)
, 65

Feminist media
, 20

COVID-19 and feminist women-owned media/organisations in context
, 21–23

impact of COVID-19 on journalists, programmes and media viability
, 25–31

methodology
, 25

political economy of feminist media/organisations during COVID-19 pandemic
, 23–25

resilience, agency and creativity key to minority media viability
, 31–32

Financial Times
, 7, 15

Firm
, 60

5G cellular networks
, 81

Frame building
, 103

Frames
, 40–41, 102

Framing
, 40

devices
, 104

theory
, 102–103, 132

Framing of COVID-19
, 105

death
, 105–107

findings
, 121–125

health and pandemics
, 118–119

law enforcement and punishment
, 110–111

methodology
, 119–121

overwhelmed hospitals
, 109–110

science
, 108–109

theoretical perspectives
, 117–119

war
, 107–108

Freemium paywall
, 4–5, 15

Gates Foundation
, 181

Gauteng, 110n9

Gender-Based Violence (GBV)
, 29

Generic frames
, 103

Google Sheets
, 9

Government measures
, 134–136

Government subsidies
, 55

Graphic images
, 102

Guardian
, 6

H-Metro
, 62

Hard news
, 43

Health behaviors
, 169

Health Belief Model (HBM)
, 172

Health care professional (HCP)
, 166

Health communication

approaches
, 166

social and cultural barriers to health communication in South Africa
, 168–169

Health journalism
, 119

Health literacy
, 171

Health messages
, 164

Health promotion
, 164

EE via
, 165–166

Health promotional campaigns

in South Africa
, 174–175

used to create COVID-19 awareness
, 174

Hepatitis A
, 183

Hepatitis B
, 183

Herald, The
, 62–63

Herd immunity
, 181

Hesitancy
, 183

Hope
, 102, 140–141

IMDI
, 199

Immigrant
, 201

Immigrants outside institutional (VOX) provisions
, 207–212

Incident Management System
, 128

Income Generating Activities (IGA)
, 31

Incoming revenue
, 5–6

Indigenous language newspapers
, 72–73

Individual and social biases of mental health and journalists
, 151–152

Infodemics
, 165

Information
, 198–200

access
, 200

literacy
, 83

Institutionally mediated information
, 204–207

Integration
, 201–202

Intensive Care Units (ICUs)
, 116

Inter alia
, 173

Internet
, 80

penetration in Uganda
, 8

Issue-specific frames
, 103

Job losses, salary cuts and stress
, 72

Journalism
, 148

Journalistic professionalism
, 49

Journalists
, 26, 148–150

experiences
, 158

individual and social biases of
, 151–152

mental health
, 150–151

obstacles and work
, 26–27

Ugandan
, 151

Kenya Audience Research Foundation (KARF)
, 4

Kenyan Student Association in Norway (KESAN)
, 209

Knowledge
, 80

Kwayedza
, 63

Law enforcement and punishment
, 110–111

Lifestyle frame (see Patience-consumer model)

Literacy levels
, 164

in South Africa
, 171–172

Lockdowns
, 164

Magazines
, 57

Manica Post, The
, 62

March data
, 121

Marginalisation
, 198–200

Mass media
, 40, 130

Media
, 79, 100, 116, 198–200

convergence
, 67

coverage of pandemics
, 37–38

economics and economics of print media industry
, 63–65

economy
, 60

framing
, 132

houses
, 14, 62–63, 153

hybridisation
, 58

industry
, 61

market
, 66

market structure
, 49

messaging
, 101–102

organisations
, 153

outlets
, 21, 24

products
, 67

representation
, 198

roles to society
, 39

theoretical perspectives on media framing of COVID-19 pandemic
, 117–119

viability
, 4, 6, 23–24

viability, resilience, agency and creativity key to minority
, 31–32

Medical approach
, 166

Meningococcal
, 183

Mental health
, 148

coping theory
, 152–154

findings
, 155–161

individual and social biases of
, 151–152

methodology
, 154–155

research objectives and questions
, 149

review of literature
, 149–152

Mental illness
, 151

Messenger
, 15

Microsoft Excel
, 9

Misconception
, 184

Misinformation
, 77, 79, 164–168

literature review
, 83–84

methodology
, 84–86

results
, 86–96

sources
, 81

theoretical framework
, 81–83

Mixed model
, 48

Mixed-methods approach
, 8, 186

Mobile Telecom Network (MTN)
, 14

Mobility of media
, 202

MobiNews
, 62

Mode
, 173

Monopoly
, 48

Mulago hospital, 156n1

Multimedia storytelling
, 12

Multimodal
, 173

Mumps
, 183

Myths
, 166–168, 184

Namibia
, 100, 104

National frames
, 121–124

National Institute for Communicable Diseases (NICD)
, 175

Nationalism
, 138–139

Ndlovu Youth Choir
, 174

Netflix
, 15

Netherlands Embassy
, 29

Networking stakeholders
, 56–57

New Vision (NV)
, 16, 120–121

New York Times
, 6–7, 15

News in legacy media
, 36

News production
, 103

News-Day
, 62

Newspapers
, 60, 120

industry
, 47

repurpose online content for survival
, 55–56

Norway
, 198

Norwegian Labour and Welfare Administration (NAV)
, 209

Norwegian language barrier and recourse to diasporic media
, 211

Norwegian public broadcaster (NRK)
, 208

NVivo
, 120

Observer, The
, 16

Oligopoly
, 66

Online audiences
, 20

Orientalism
, 202

Other
, 202

Otherness
, 202

Overwhelmed hospitals
, 109–110

Ownership
, 48

Pandemics

misinformation, media, trust and credibility during
, 79

and outbreaks of disease
, 148

Patience-consumer model
, 119, 123

Patient-centred care, elements of
, 170–171

Paywalls
, 5, 13, 18

PEN-3 Model
, 172–173

Perceived barriers
, 172

Perceived benefits
, 172

Perceived severity
, 172

Perceived susceptibility
, 172

Perceptions
, 185–186

of vaccines for disease prevention
, 183–184

Photo books
, 57

Photograph exhibitions
, 57

Police enforcement
, 124–125

Political economy (PE)
, 23

in Africa
, 49–50

in Ethiopia
, 50–51

of feminist media/organisations during COVID-19 pandemic
, 23–25

of media theory
, 5, 31

of newspaper industry
, 65–67

of print media
, 48–49

Political economy theory
, 40

Political parallelism
, 49

Political/economy frame
, 119

Post-COVID-19 feminist media viability
, 30–31

Post-traumatic stress disorder (PTSD)
, 148

Poverty
, 164

Pre-COVID-19
, 21

Prejudice
, 166–168

Preparedness frame
, 123

Press Emblem Campaign (2021)
, 150

Press models (see Mixed model)

PressReader
, 104

Print media
, 48–49, 51

Print newspaper industry
, 60

findings
, 68–73

media economics and economics of print media industry
, 63–65

media houses
, 62–63

methodology
, 68

theory of firm and political economy of newspaper industry
, 65–67

Priority groups
, 182

Private media
, 67

Private-owned commercial radio model
, 38

Problem-focused approach
, 152

Production
, 173

Psychological distress
, 148

Public health
, 77, 79

Public sphere model
, 119, 125

Public trust
, 81

Publication of books
, 57

Purposive sampling
, 9, 133

Qualitative content analysis technique
, 103–104, 132

Qualitative data
, 9

Qualitative semi-structured open-ended interviews
, 68

Qualitative social semiotic multimodal content analysis
, 173

Quantitative data
, 9

Quantitative methods
, 41

Questionnaire
, 9

R Square change
, 89

Radio models in Uganda
, 38–39

Radio news in Uganda
, 36

Radio Sanyu
, 37

Radio Uganda
, 36–37

Reader revenue approach
, 4, 16

Regression analysis
, 194

Relationships
, 172

Religious dialogue
, 211–212

Religious frame
, 123

Reporter filed stories
, 42

Reporting pandemics
, 149–150

Resilience
, 31–32, 156–158

Reuters Digital News Report (2019)
, 7

Rhetorical devices
, 104

Risk communication
, 129, 198

and misinformation during pandemics
, 79–80

Rubella
, 183

Rwanda Development Board (RDB)
, 29

Rwanda Governance Board (RGB)
, 30

Scaremongering
, 139–140

Science
, 108–109

communication
, 80

Self-efficacy
, 102, 172

Self-reflection
, 124–125

Sensationalised descriptions
, 102

Severe acute respiratory syndrome (SARS)
, 150

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
, 100, 188

Short message service (SMS)
, 62

Sidamigna (Bekalccio)
, 51

Social approach
, 166

Social awareness
, 174

Social barriers
, 166–168

Social cognitive model of media discourse analysis
, 203–204

Social media
, 8, 30, 129–130, 194

Sociality
, 211–212

Socio-cultural factors
, 168

Solidarity
, 124–125

Sound-byte stories
, 42, 44

South Africa
, 100

COVID-19 virus in
, 164–165

health promotional campaigns in
, 174–175

literacy levels in
, 171–172

social and cultural barriers to health communication in
, 168–169

South African National Editors’ Forum (SANEF)
, 61

South African newspapers
, 130

Southern Eye, The
, 62

Standard, The
, 62

Standard Operating Procedures (SOPs)
, 22, 78

State authorities
, 128

country contexts
, 131

findings
, 141–142

framing theory
, 132

methodology
, 132–134

presentation of findings
, 134–141

research questions
, 131

State intervention
, 49

State-owned radio model
, 38

Statistical models
, 180

Stavanger
, 15

Stigma
, 151, 153, 158–160, 166–168

Subaltern Speaks
, 209–211

Subscription
, 11–13

Subsidy
, 48

Sunday Mail, The
, 62

Sunday News, The
, 62

Supportive families
, 160

Tanzania Media Women’s Association (TAMWA)
, 22–23, 27, 30–31

Technical devices
, 104

Telecel
, 62

Telegram
, 15

Telegraph, The
, 7

Text/words
, 173

The Other Voice (TOV)
, 22

Theme development technique
, 133–134

Theoretical triangulation
, 174

Theory of firm
, 65–67

Tigrigna (Wegahita)
, 51

Traditional market model of advertising
, 48

Traditional medicine perspectives
, 169–170

Traditional newspaper business model
, 69–71

Transcription
, 9

Transnationalism
, 202

Trials
, 156–158

Tribulations
, 156–158

Trust
, 79

sources
, 81

theoretical framework
, 81–83

Typography
, 173

Uganda
, 116, 182

as case study
, 116–117

Uganda Broadcasting Service
, 36

Uganda Christian University Research Ethics Committee (UCUREC)
, 154

Uganda Communications Commission (UCC)
, 12–13, 38

Uganda Media Women’s Association (UMWA)
, 22

Ugandan journalists, meaning of mental health to
, 155–156

Ugandan media
, 117

UMthunywa
, 63

Unemployment
, 164

United Kingdom (UK)
, 7

United States (US)
, 5

Vaccination
, 183–184

Vaccine Alliance
, 181

Vaccine Hesitancy
, 182–183

Vaccines
, 181

cognitive dissonance, perception and behaviour uptake
, 185–186

methodology
, 186–187

objectives/research questions
, 182

results
, 187–193

review of literature
, 182–185

Video-On-Demand platforms
, 15

Visual formats
, 7

Voksenopplæring (VOX)
, 202

African diasporic (immigrant) voices at
, 206–207

perspectives
, 204–206

Wall Street Journal
, 7

War
, 107–108

Washington Post, The
, 7

Western frames
, 121–124

Western medicine perspectives
, 169–170

WhatsApp
, 8, 15, 84–85

Women in the News (WiN)
, 29

Women Media Owners for Change (WMOC)
, 22–23, 30–31

Women-owned media/organisations
, 20

Women’s faint voices, forced to re-programme amidst digital shifts to reach
, 28–30

Work
, 118

World Health Organization (WHO)
, 78, 100, 103, 129, 148, 169, 181

‘Year of the Paywall’ as newspapers
, 5

Yearbooks
, 57

Youth
, 83–84

Zemen magazine
, 51

Zimbabwe
, 184

print newspaper industry in
, 60, 67

Zimbabwe African National Union–Patriotic Front (ZANU-PF)
, 67

Zimbabwe Independent, The
, 62

Zimbabwe Mass Media Trust
, 62

Zimbabwe Newspapers Group (1980) Ltd
, 60

Zimpapers
, 62–63, 65, 67, 70

Bulawayo branch
, 69, 72

ZTE
, 62