Media Theories and Communication Models

Introduction

Digital media are not simply channels through which information travels. They are social, cultural, economic and technical environments in which meaning is produced, circulated, interpreted and contested. A news story on a website, a short video on a social platform, a podcast recommendation and a user comment are all shaped by communication processes. These processes involve media organisations, technologies, audiences, algorithms, advertisers, governments, communities and individual users.

Communication theories provide structured ways of explaining these processes. They help media managers answer practical questions: Why do audiences select some content and ignore other content? How do issues become publicly important? Why do similar messages produce different interpretations? How do innovations spread? Who controls visibility? Why do some platforms become more valuable as more people join them? How can audiences participate in media production rather than merely consume content?

This chapter introduces major theories and models relevant to contemporary digital media: uses and gratifications, agenda-setting, framing, diffusion of innovations, gatekeeping, network effects and participatory culture. The theories are complementary rather than mutually exclusive. A single digital campaign may satisfy audience needs, frame an issue, pass through algorithmic and editorial gates, spread through a social network and invite participatory responses.

Learning Objectives

By the end of this chapter, you should be able to:

1. Explain the purpose and limitations of communication models.
2. Apply uses and gratifications theory to digital audience behaviour.
3. Analyse how agenda-setting and framing influence public interpretation.
4. Use diffusion of innovations to plan the adoption of new media products.
5. Explain traditional and digital forms of gatekeeping.
6. Analyse direct, indirect and cross-side network effects.
7. Evaluate participatory culture and user-generated content.
8. Integrate several theories when analysing a digital media case.
9. Identify ethical, regulatory and managerial implications of digital communication.

1. Communication Models: From Transmission to Participation

A communication model is a conceptual representation of how communication works. Models simplify reality so that important elements and relationships can be examined. They are not complete descriptions of social life. Their value lies in directing attention to particular questions.

1.1 Linear models

The linear model treats communication as a one-way movement from a sender to a receiver through a channel. Harold Lasswell’s well-known formulation asks: “Who says what, in which channel, to whom, with what effect?” This model is useful for analysing publicity, advertising and broadcast communication because it identifies source, message, medium, audience and outcome.

Its weakness is that it can make audiences appear passive. It also gives limited attention to feedback, interpretation, cultural context and unequal power. In digital media, audiences may comment, remix, redistribute or challenge a message immediately, so a purely linear model is insufficient.

1.2 Interactive and transactional models

Interactive models add feedback. The receiver responds to the message, and the original sender may then revise or clarify communication. Transactional models go further by treating communication as simultaneous and socially situated. Participants can be senders and receivers at the same time, while meanings are influenced by context, prior experience, identity and technology.

For example, a brand’s social-media post is not complete when it is published. Replies, quote-posts, memes, ratings and private messages become part of the communication event. The organisation may respond, but users can also communicate with one another without the organisation’s control.

1.3 Digital communication as a networked process

Digital communication combines mass communication and interpersonal communication. A single post may reach millions, yet its circulation may depend on personal recommendations. Platforms also introduce algorithms, data collection, ranking systems and interface choices. Consequently, digital media analysis must consider both human agency and technical mediation.

A useful analytical sequence is:

Production → Mediation → Encounter → Interpretation → Response → Recirculation

Production refers to the creation of content. Mediation includes editorial decisions, platform design and algorithmic ranking. Encounter describes how users find the content. Interpretation concerns meaning-making. Response includes clicking, commenting, sharing, purchasing or resisting. Recirculation occurs when responses cause the content to travel to new audiences.

2. Uses and Gratifications Theory

Uses and gratifications theory asks what people do with media rather than what media do to people. It views audiences as active participants who select media to satisfy particular needs. The theory developed from audience research associated with scholars such as Elihu Katz, Jay Blumler and Michael Gurevitch.

2.1 Main assumptions

The theory generally assumes that:

• audiences are active, although not always fully rational or conscious;
• media use is goal-oriented or need-related;
• media compete with non-media activities for attention;
• people can often explain their motivations for using media;
• the same medium can provide different gratifications to different people;
• media effects depend partly on the needs and circumstances of the audience.

Common categories of gratification include:

These categories are not fixed. A professional may use LinkedIn for information, identity and networking; another user may use the same platform primarily for status and employment opportunities.

2.2 Applying the theory to platform strategy

A media manager can use uses and gratifications theory in four stages:

1. Identify audience situations. Determine when, where and why people use the service.
2. Map desired gratifications. Distinguish information, entertainment, belonging, convenience, recognition and participation.
3. Design features and content. Match formats to needs, such as alerts for surveillance or discussion tools for interaction.
4. Evaluate outcomes. Combine behavioural data with interviews or surveys because clicks alone do not reveal motivation or satisfaction.

For example, a public-service news application may offer concise alerts for users seeking rapid information, explainers for users seeking understanding, and moderated discussion spaces for users seeking civic interaction. A manager should not assume that high usage means high satisfaction. Compulsive or habitual use may generate engagement without fulfilling users’ longer-term interests.

2.3 Strengths and limitations

The theory corrects the assumption that audiences are passive. It is especially useful for content design, audience segmentation and user-experience research. However, it can overstate individual choice. Platform interfaces, recommendation systems, social pressure and economic inequalities influence what choices are available. Users may also be unaware of how algorithms shape their media diets. In addition, self-reported motivations may not accurately represent unconscious or socially undesirable motives.

3. Agenda-Setting Theory

Agenda-setting theory proposes that media may influence what people consider important by giving greater visibility and prominence to some issues than others. The classic formulation is not that media tell audiences exactly what to think, but that they influence what audiences think about.

3.1 Levels of agenda-setting

The theory is commonly discussed at several levels:

• First-level agenda-setting: the perceived importance of issues. Repeated coverage of inflation, public health or climate change may increase the salience of those topics.
• Second-level agenda-setting: the perceived importance of attributes associated with an issue or person. Coverage may emphasise competence, conflict, cost or morality.
• Intermedia agenda-setting: the way one media organisation or platform influences the agendas of others. A story originating in a local newsroom may be amplified by national outlets and then discussed on social platforms.

Digital media complicate agenda-setting because users, influencers, activists and automated systems also contribute to visibility. Trending lists, recommendation systems, search rankings and engagement metrics may elevate topics independently of traditional editorial priorities.

3.2 Salience and measurement

In practice, agenda-setting can be studied by comparing media prominence with audience perceptions. Possible indicators include the number of stories, headline placement, screen position, duration, frequency, search interest and social discussion. A basic conceptual comparison is:

This is not a universal measurement equation. It is a conceptual framework, and the two components require operational definitions. For example, media prominence might be measured by front-page placement, while audience attention might be estimated through survey responses or verified viewing data. Such measures are not automatically equivalent.

3.3 Managerial application

Agenda-setting is relevant to editorial planning, public relations and campaign management. A media organisation decides which issues deserve sustained attention, while a public-relations team attempts to place an issue on the media and public agenda. Digital managers should monitor not only publication volume but also context, competing issues and audience interpretation.

Agenda-setting does not guarantee persuasion. An issue may become highly visible while generating disagreement, fatigue or distrust. Visibility is therefore an opportunity for public attention, not proof of a successful communication outcome.

4. Framing Theory

Framing theory examines how communication selects, emphasises and organises aspects of reality. A frame defines a problem, identifies causes, makes moral evaluations and suggests remedies. The same event can be presented through different frames, producing different interpretations.

For example, a platform’s decision to remove harmful content may be framed as:

• protection of vulnerable users;
• censorship by a private corporation;
• enforcement of community standards;
• an inadequate response to systemic harm; or
• a technical moderation challenge.

Each frame draws attention to particular facts and values while making other aspects less visible.

4.1 Elements of a frame

A practical framing analysis asks:

1. What problem is identified?
2. Who or what is presented as responsible?
3. Which evidence, voices and examples are included?
4. Which terms and images are repeated?
5. What moral judgement is implied?
6. What action or solution appears reasonable?
7. Which perspectives are absent?

Frames operate through language, visuals, hashtags, headlines, thumbnails, editing, platform categories and metadata. They can be deliberate, but they may also result from routines, deadlines, professional norms or algorithmic templates.

4.2 Framing and digital production

Digital media intensify framing because users encounter content through short, highly compressed formats. A headline, thumbnail or first few seconds may establish an interpretive frame before a user reads the full story. Search snippets and recommendation labels can also influence expectations.

A responsible manager should distinguish framing from fabrication. Framing is unavoidable because communication requires selection. Ethical practice requires that selection be accurate, proportionate, transparent and open to correction. Misleading context, manipulated images and emotionally exaggerated headlines can create deceptive frames even when individual statements are technically true.

4.3 Framing analysis in practice

Suppose two news headlines describe the same municipal transport policy:

• “City invests in affordable public transport for low-income workers.”
• “City imposes new charges on private motorists.”

Both may refer to the same policy, but the first foregrounds equity and public investment, while the second foregrounds cost and restriction. A researcher should examine the complete story rather than infer bias from a headline alone, but the example demonstrates how emphasis directs interpretation.

5. Diffusion of Innovations

Everett Rogers’ diffusion of innovations theory explains how a new idea, practice, product or technology spreads through a social system over time. It is highly relevant to digital media launches, creator tools, mobile applications, streaming services and new newsroom technologies.

5.1 The innovation-decision process

Adoption commonly involves five stages:

1. Knowledge: the individual or organisation becomes aware of the innovation.
2. Persuasion: attitudes become favourable or unfavourable.
3. Decision: adoption or rejection occurs.
4. Implementation: the innovation is put into use.
5. Confirmation: the adopter seeks reinforcement and may continue or discontinue adoption.

The process is not always linear. Users may implement a tool, encounter problems, abandon it and later return to it.

5.2 Perceived attributes of innovation

The rate and pattern of adoption are influenced by five perceived attributes:

• Relative advantage: whether the innovation seems better than existing practice;
• Compatibility: whether it fits existing values, routines and infrastructure;
• Complexity: how difficult it appears to understand or use;
• Trialability: whether it can be tested before full commitment;
• Observability: whether its benefits are visible to others.

A digital newsroom introducing automated transcription may have relative advantage through speed, compatibility with existing publishing systems and high trialability through a pilot project. However, concerns about accuracy, privacy and staff roles may slow adoption.

5.3 Adopter categories

Rogers identified ideal-type categories: innovators, early adopters, early majority, late majority and laggards. These are analytical categories, not judgements about intelligence or value. Early adopters may influence opinion within a professional community, while the early majority may require evidence, training and dependable support.

A manager should avoid targeting only enthusiasts. Sustainable adoption requires accessible design, training, technical support, clear benefits and mechanisms for learning from resistance.

5.4 Practical planning framework

For a new media product, managers can ask:

• What problem does the innovation solve?
• Which users experience that problem most strongly?
• Can the product be tested at low cost or risk?
• What social proof will demonstrate value?
• What barriers involve skills, trust, price, privacy or infrastructure?
• How will discontinuance or unintended consequences be monitored?

Diffusion theory can explain adoption patterns, but it should not be used to blame communities for non-adoption. Digital exclusion may reflect affordability, disability, language, connectivity or institutional distrust rather than a simple lack of innovativeness.

6. Gatekeeping in Digital Media

Gatekeeping refers to the selection, filtering and shaping of information as it moves through communication systems. Traditional gatekeepers include editors, producers, publishers and broadcasters. They decide which stories receive resources, placement and publication.

6.1 From editorial gates to distributed gates

Digital media have not eliminated gatekeeping; they have multiplied and redistributed it. Important gates may include:

• journalists and editors;
• platform policies and moderators;
• recommendation and search algorithms;
• app stores and internet-service providers;
• advertisers and brand-safety systems;
• influencers and community administrators;
• users who share, ignore, report or comment on content.

This can be described as networked gatekeeping, in which professional and non-professional actors jointly influence visibility.

6.2 Algorithmic gatekeeping

Algorithms rank content according to programmed rules and learned patterns. Ranking may use signals such as relevance, recency, predicted engagement, user history, safety classifications and commercial priorities. Because these systems are often proprietary, users may not know why content is promoted or suppressed.

Algorithmic gatekeeping raises questions of accountability. A platform may claim that a system is neutral because it is automated, but design choices embed values. Selecting engagement as a major ranking signal may favour emotional or polarising content. Safety classifiers may disproportionately misclassify dialects, political speech or minority cultural expression.

6.3 Gatekeeping and organisational responsibility

Managers should establish clear publication criteria, escalation procedures, correction mechanisms, audit trails and appeals processes. Human oversight remains important where decisions affect reputation, safety, political participation or access to essential information.

Gatekeeping is not inherently negative. Editorial selection is necessary because attention and production resources are limited. The central issues are transparency, fairness, pluralism, competence and accountability.

7. Network Effects and Platform Value

A network effect occurs when the value of a product or service changes as the number or activity of users changes. Network effects are central to social networks, marketplaces, messaging services, creator platforms and digital advertising systems.

7.1 Direct and indirect network effects

A direct network effect occurs when users benefit from more users of the same service. A messaging service becomes more useful when more friends, colleagues and organisations can be reached through it.

An indirect or cross-side network effect occurs when growth on one side of a platform benefits another side. More viewers may attract creators; more creators may attract viewers. More buyers may attract sellers; more sellers may improve choice for buyers.

Network effects are not the same as economies of scale. Economies of scale concern declining average production cost as output increases, whereas network effects concern changes in user value resulting from network participation.

7.2 A simple conceptual model

A widely cited early intuition is that possible connections grow rapidly as users increase. For a simple undirected network with n users, the maximum number of pairwise connections is:

Here, C is the number of possible pairwise connections and n is the number of users. This formula assumes that each pair can have one connection, that connections are mutual, and that users do not connect to themselves. It describes potential connections, not actual usage or value. Real platforms have unequal activity, communities, blocking, privacy settings and multiple types of relationships.

For example, with 5 users:

C = 5(5 − 1) ÷ 2 = 10

There are 10 possible mutual pairs. This does not mean that all 10 relationships exist or that each has equal value.

7.3 Positive and negative network effects

Network effects can be positive when growth improves utility, but they can also become negative. Congestion, spam, harassment, misinformation, privacy loss and declining content quality may reduce value as a platform expands. Managers therefore need moderation, discovery tools, community standards and infrastructure investment.

Network effects can produce market concentration and user lock-in. If users have invested time, contacts, reputation or content in one service, switching becomes costly. Interoperability, data portability and competition policy are therefore important governance questions.

8. Participatory Culture

Participatory culture describes environments in which relatively low barriers to expression and engagement enable people to create, circulate, interpret and respond to media. Henry Jenkins and other scholars have associated participatory culture with informal learning, affiliation, expression and the sharing of creations.

Participation can include:

• commenting and reviewing;
• producing videos, podcasts, memes or fan fiction;
• editing collaborative knowledge resources;
• crowdsourcing information;
• remixing and translating content;
• organising social or political campaigns;
• moderating online communities;
• providing data, ratings or feedback.

Participation is not automatically equal or democratic. Visibility may be concentrated among users with time, technical skills, money, language fluency or existing status. Platforms may also monetise unpaid creative labour and extract behavioural data.

8.1 Producers, users and the “produser”

Digital users often occupy hybrid roles. A person may consume a news story, comment on it, correct an error, share it with a community and create a response video. The boundary between producer and audience is therefore more flexible than in traditional broadcasting.

Media managers should design participation with purpose. A comment section, for example, requires moderation rules, accessibility, protection from harassment and a method for distinguishing useful criticism from abuse. Inviting participation without allocating resources for moderation can damage trust.

8.2 Participatory culture and professional practice

Participation can improve journalism and media production by providing local knowledge, eyewitness material, specialist expertise and rapid feedback. However, user-generated content requires verification, consent, copyright assessment, source protection and contextualisation. Speed is not a substitute for accuracy.

9. Integrating the Theories

The theories become most useful when applied together. Consider the launch of a mobile application offering local climate information.

• Uses and gratifications: users may seek warnings, practical advice, community connection or reassurance.
• Agenda-setting: repeated alerts may increase the perceived importance of climate risks.
• Framing: the application may frame climate action as public responsibility, household savings or economic opportunity.
• Diffusion: adoption depends on relative advantage, compatibility, trialability and trusted social influence.
• Gatekeeping: editors, data providers and algorithms determine which alerts appear and how they are ranked.
• Network effects: more users may generate better local reports and attract expert contributors, although misinformation may also spread.
• Participatory culture: residents may upload observations, discuss impacts and collaborate on solutions.

An integrated analysis prevents simplistic conclusions. Low adoption might result from poor product design, weak trust, incompatible routines, limited connectivity or a frame that does not match users’ concerns. High engagement might reflect useful participation, but it could also reflect fear, controversy or platform incentives that reward emotional responses.

10. Applied Case: The “City Voices” Digital News Initiative

This is an illustrative case designed for learning; it is not a report of an actual organisation.

Background

A regional media company launches “City Voices,” a mobile-first local news service. It publishes short video explainers, community reports and live updates. Users can submit photographs, vote on questions for local officials and comment on stories.

Problem

After an enthusiastic launch, downloads are high but weekly use declines. Some users complain that the service focuses on official announcements rather than neighbourhood concerns. Others report that the comment area contains hostility and unverified claims. Local advertisers are interested but uncertain about audience quality.

Analysis

Uses and gratifications analysis shows that the service meets a need for rapid information but does not sufficiently meet needs for local identity, dialogue and practical problem-solving. Agenda-setting analysis reveals that editorial attention is concentrated on city-centre institutions, while peripheral neighbourhoods receive little coverage. Framing analysis finds that housing stories are often framed as property-market updates rather than as questions of affordability and community welfare.

Gatekeeping is distributed across editors, community moderators and the recommendation system. The system promotes posts receiving rapid reactions, which unintentionally rewards conflict. Network-effect analysis indicates a weak cross-side relationship: residents do not see enough value to contribute, and the limited supply of local contributions makes the service less useful to readers.

Approach and solution

The management team introduces neighbourhood editorial partnerships, a transparent submission guide and a verification label for user reports. It redesigns the recommendation system to include relevance and geographic diversity rather than relying mainly on rapid engagement. It also establishes moderation escalation rules and publishes monthly corrections and moderation reports.

To improve diffusion, the team offers a low-risk trial through weekly email digests and community events. Trusted local contributors are invited as early adopters, but all contributors receive training on verification, consent and copyright. The service introduces a participation ladder: reading, reacting, submitting questions, contributing verified reports and joining moderated civic discussions.

Outcome

After several months, the service records lower but more sustained usage. The number of submissions increases, while a smaller proportion requires removal. Advertisers receive clearer information about audience geography and content standards. The service does not eliminate disagreement, but discussion becomes more relevant and less dominated by provocation.

Learning points

1. Download numbers are not sufficient evidence of sustained gratification.
2. Editorial agendas influence whose experiences become publicly visible.
3. Framing affects whether audiences see an issue as personal, political or economic.
4. Participation requires moderation, verification and organisational resources.
5. Network growth must be managed because more activity can create both value and harm.
6. A combination of theories provides a stronger diagnosis than any single theory.

11. Ethical, Regulatory and Governance Issues

Communication theories have practical ethical consequences. Media managers should consider the following issues.

Privacy and data use

Personalisation can help users find relevant content, but extensive tracking may create surveillance risks. Organisations should collect only necessary data, explain its use, secure it appropriately and comply with applicable privacy law.

Bias and representation

Agenda-setting, framing and gatekeeping can marginalise communities when editorial routines or algorithmic systems reproduce existing inequalities. Diversity should be addressed in staffing, sourcing, datasets, testing and accountability structures.

Misinformation and harmful content

Participatory systems enable rapid expression but can also spread false or harmful claims. Responses should be proportionate and evidence-based. Labels, friction, source links, corrections, downranking and removal may each be appropriate in different circumstances.

Freedom of expression and moderation

Moderation involves balancing expression with safety, privacy, dignity and legal obligations. Rules should be clear, consistently applied and accompanied by accessible appeal mechanisms. Private platforms are not identical to public institutions, but their scale can give moderation decisions major public significance.

Copyright and consent

User-generated content may include copyrighted material or identifiable people. Organisations should obtain permission where required, respect moral and economic rights, and avoid treating submission as unlimited surrender of ownership.

Artificial intelligence

AI systems can support transcription, translation, recommendation, content classification and audience analysis. They can also generate fabricated material, reproduce bias, expose personal data and obscure responsibility. Human review, provenance records, disclosure, risk assessment and correction procedures are essential when AI affects publication or visibility.

12. Best Practices for Media Managers

• Begin with a clearly defined audience need rather than a fashionable platform feature.
• Combine behavioural metrics with qualitative research and representative audience feedback.
• Distinguish attention, satisfaction, trust, participation and social impact.
• Make editorial and moderation criteria visible.
• Audit recommendation systems for bias, concentration and harmful incentives.
• Design for accessibility, low bandwidth and diverse languages where relevant.
• Treat users as participants while protecting them from exploitation and abuse.
• Pilot innovations, document results and provide training before full implementation.
• Verify user-generated content and maintain correction pathways.
• Review whether commercial objectives distort public-interest communication.
• Use theory as an analytical tool, not as a substitute for evidence.

Chapter Summary

Communication models explain how messages move, acquire meaning and generate responses. Linear models highlight source, message, channel and effect, while interactive and transactional models better represent feedback, interpretation and context in digital environments.

Uses and gratifications theory focuses on the needs audiences seek to satisfy through media. Agenda-setting explains how media prominence affects perceptions of issue importance, while framing examines how selection and emphasis shape interpretation. Diffusion of innovations describes how new ideas and technologies are adopted through stages influenced by relative advantage, compatibility, complexity, trialability and observability.

Gatekeeping concerns the selection and ranking of information. In digital media, gatekeeping is distributed among editors, platforms, algorithms, advertisers, moderators and users. Network effects explain how user participation can increase or reduce platform value, while participatory culture highlights the active creative and civic roles of audiences. These theories are most effective when integrated and connected to evidence.

For media managers, the central lesson is that digital communication is simultaneously technical, organisational and social. Effective practice requires audience insight, responsible design, transparent governance, ethical moderation, critical evaluation of algorithms and respect for participation.

Key Terms

Communication model: A conceptual representation of the elements and relationships involved in communication.

Linear model: A one-way model in which a source sends a message to a receiver through a channel.

Feedback: A response that informs or influences subsequent communication.

Uses and gratifications: A theory explaining how audiences use media to satisfy needs.

Agenda-setting: The process through which media prominence influences perceptions of issue importance.

Salience: The degree to which an issue is noticeable or considered important.

Framing: The selection and emphasis of aspects of reality that shape interpretation.

Diffusion of innovations: The spread of an innovation through a social system over time.

Relative advantage: The perceived superiority of an innovation over an existing option.

Trialability: The extent to which an innovation can be tested before full adoption.

Gatekeeping: The selection, filtering and shaping of information before or during circulation.

Networked gatekeeping: Distributed control over visibility by organisations, platforms, algorithms and users.

Algorithmic ranking: The ordering of content through programmed or learned computational processes.

Network effect: A change in the value of a service resulting from changes in network participation.

Direct network effect: A benefit created by more users of the same service.

Cross-side network effect: A benefit between different user groups on a platform.

Participatory culture: A media environment that enables users to create, circulate and respond to content.

User-generated content: Material created or submitted by users rather than solely by professional producers.

Media literacy: The ability to access, analyse, evaluate, create and act through media.

Review Questions

Short Answer Questions

1. What is the main difference between a linear communication model and a transactional model?
2. Identify four common gratifications that audiences may seek from digital media.
3. What does agenda-setting theory mean by issue salience?
4. Define gatekeeping and name two digital gatekeepers.
5. Distinguish between a direct network effect and a cross-side network effect.

Long Answer Questions

1. Explain uses and gratifications theory and evaluate its usefulness for designing a digital media product.
2. Compare agenda-setting and framing theory. How might they operate together in online news?
3. Describe the five stages of the innovation-decision process and apply them to the adoption of a new newsroom technology.
4. Explain how algorithms have changed, but not eliminated, gatekeeping.
5. Discuss the benefits and risks of participatory culture for professional media organisations.

Analytical / Application Questions

1. A public-health platform receives high engagement on sensational posts but low engagement on carefully sourced explainers. Use at least three theories from this chapter to diagnose the problem and recommend a response.
2. Analyse a digital campaign of your choice using uses and gratifications, framing and agenda-setting. Identify evidence that would be needed to support your analysis.
3. Design a launch strategy for a local media application using diffusion of innovations, network effects and participatory culture. Explain how you would measure both success and unintended harms.

Multiple Choice Questions with Answers

Question 1

Which question is most closely associated with uses and gratifications theory?

A. What needs do audiences seek to satisfy through media use?

B. Which editor selected the headline?

C. How many possible network pairs exist?

D. Which law regulates copyright?

Correct Answer: A. What needs do audiences seek to satisfy through media use?

Question 2

Agenda-setting theory primarily concerns media influence over:

A. The grammatical accuracy of messages

B. Which issues audiences perceive as important

C. The cost of producing digital content

D. The technical speed of a network

Correct Answer: B. Which issues audiences perceive as important

Question 3

Which example best illustrates framing?

A. Counting the number of stories published about housing

B. Describing the same transport policy as either public investment or a charge on motorists

C. Measuring the number of users on a platform

D. Testing whether an application can be installed

Correct Answer: B. Describing the same transport policy as either public investment or a charge on motorists

Question 4

Which attribute of an innovation refers to the ability to test it before full adoption?

A. Compatibility

B. Observability

C. Trialability

D. Relative advantage

Correct Answer: C. Trialability

Question 5

In digital media, algorithmic gatekeeping refers to:

A. The elimination of all editorial decisions

B. The ranking or filtering of content through computational systems

C. The legal ownership of a broadcasting licence

D. The creation of content exclusively by audiences

Correct Answer: B. The ranking or filtering of content through computational systems

Question 6

For a simple undirected network of 5 users, what is the maximum number of possible pairwise connections using C = n(n − 1) ÷ 2?

A. 5

B. 8

C. 10

D. 20

Correct Answer: C. 10

Question 7

Which is an example of a cross-side network effect?

A. A messaging service becomes useful because one user adds a second account

B. More viewers attract creators, and more creators attract viewers

C. A journalist corrects a spelling error

D. A user changes a password

Correct Answer: B. More viewers attract creators, and more creators attract viewers

Question 8

Which statement best describes participatory culture?

A. Audiences only receive professionally produced messages

B. Users can create, circulate and respond to media content

C. Algorithms operate without human or social influence

D. All users have equal visibility and influence

Correct Answer: B. Users can create, circulate and respond to media content

Question 9

Why can high engagement be an inadequate measure of media success?

A. Engagement always indicates misinformation

B. Engagement may reflect controversy or compulsion rather than satisfaction, trust or social value

C. Engagement cannot be measured digitally

D. Engagement is unrelated to audience behaviour

Correct Answer: B. Engagement may reflect controversy or compulsion rather than satisfaction, trust or social value

Question 10

Which practice is most appropriate when using AI for content classification in a media organisation?

A. Remove all human oversight

B. Hide the use of AI from audiences and staff

C. Use human review, documentation, disclosure where appropriate and correction procedures

D. Assume automated outputs are neutral

Correct Answer: C. Use human review, documentation, disclosure where appropriate and correction procedures