14. Ethics, Governance and Consumer Well-Being

Introduction: From Persuasion to Responsible Influence

Advertising and media are designed to influence attention, interpretation, preference and behaviour. Influence is not inherently unethical. Consumers depend on commercial communication to discover products, compare alternatives and participate in cultural and economic life. The ethical difficulty begins when influence is achieved through concealment, exploitation, coercion, discrimination, excessive surveillance or the systematic weakening of consumers’ capacity to make informed choices.

Consumer behaviour therefore cannot be studied only as a set of psychological responses to stimuli. It must also be examined as a relationship involving power, information, data, technology and institutional responsibility. A platform may know more about a consumer than the consumer knows about the platform’s inferences. An advertiser may understand the emotional vulnerability of a target segment more precisely than the individuals in that segment understand their own susceptibility. A designer may make acceptance effortless and refusal difficult. In each situation, the central question is not simply whether a campaign increases conversion, but whether the method respects autonomy, fairness, dignity and well-being.

This chapter examines the ethical and governance challenges associated with contemporary consumer influence. It connects deceptive design, vulnerable audiences, stereotyping, misinformation, surveillance and addictive engagement with consent, data protection, fairness and responsible-advertising practice. The emphasis is strategic: ethical governance is treated not as a legal afterthought, but as part of brand stewardship, risk management, consumer trust and sustainable value creation.

Learning Objectives

After studying this chapter, students should be able to:

1. Distinguish legitimate persuasion from manipulation, deception and coercive influence.

2. Explain how dark patterns, surveillance, misinformation and addictive engagement affect consumer autonomy.

3. Identify the special ethical responsibilities associated with children and other vulnerable audiences.

4. Analyse stereotyping and discriminatory targeting in advertising and media systems.

5. Apply principles of informed consent, data minimisation, fairness, transparency and accountability.

6. Use a practical governance framework to evaluate campaigns, platforms and consumer-data practices.

7. Make strategic recommendations that balance commercial objectives with consumer well-being.

The Ethical Problem in Consumer Behaviour

Ethics concerns the principles used to judge what ought to be done. In consumer behaviour, the relevant parties include consumers, advertisers, agencies, media owners, platforms, data brokers, regulators and wider communities. Their interests do not always coincide. A platform may benefit from longer sessions, while the user may benefit from interruption. An advertiser may benefit from precise behavioural targeting, while the consumer may reasonably expect contextual privacy. A brand may seek an emotionally powerful representation, while the group represented may experience it as degrading or exclusionary.

Four ethical ideas are particularly important. Autonomy refers to the consumer’s capacity to make decisions freely and with adequate understanding. Non-maleficence requires organisations to avoid foreseeable harm. Beneficence concerns the creation of genuine value or welfare. Justice concerns fair treatment, equitable access and the avoidance of unjust discrimination. These principles do not produce automatic answers, but they provide a disciplined basis for evaluating choices.

Persuasion becomes ethically problematic when the communicator intentionally interferes with reflective choice. Manipulation may exploit cognitive biases, emotional distress, information asymmetry or situational pressure. Deception involves materially misleading consumers, including through false claims, omissions, fabricated endorsements or unclear commercial sponsorship. Coercion involves threats or unacceptable pressure. The distinctions are not always absolute: a countdown timer may be a legitimate indication of a real deadline, but it becomes deceptive when the deadline is artificial and repeatedly resets.

Ethical evaluation should therefore examine both the message and the architecture surrounding it. A truthful statement can still be placed within a manipulative interface. Conversely, an emotionally engaging advertisement can remain ethically acceptable when its commercial intent is clear, its claims are supportable and the audience is treated with respect.

Important Concepts and Terminology

A dark pattern is a user-interface design that steers people toward decisions they might not otherwise make, often by obscuring alternatives or increasing friction for refusal. Nudging alters the choice environment while preserving meaningful freedom; it becomes ethically questionable when it is covert, exploitative or difficult to resist. Surveillance advertising uses observed or inferred behaviour to target, personalise or optimise commercial communication. Profiling is the automated or systematic analysis of personal information to predict characteristics, preferences or behaviour.

Informed consent requires that a person understands what is being agreed to, why information is collected, how it will be used and how consent can be withdrawn. A pre-ticked box or a long, incomprehensible notice may represent formal agreement without meaningful consent. Data minimisation means collecting only information reasonably necessary for a specified purpose. Purpose limitation requires that data not be repurposed in ways incompatible with the original context without an appropriate basis and explanation.

Vulnerable consumers are individuals or groups whose ability to understand, resist or recover from commercial influence is reduced by age, disability, illness, financial hardship, emotional distress, limited literacy, social marginalisation or dependency. Vulnerability is contextual rather than always permanent: a financially secure adult may become vulnerable during a medical crisis or an urgent borrowing decision.

Misinformation is inaccurate information shared without an established intention to deceive, whereas disinformation is false or misleading information deliberately produced or distributed to deceive or cause harm. Native advertising is paid communication designed to resemble surrounding editorial or user-generated content. It is not necessarily unethical, but inadequate disclosure can make it deceptive.

Consumer well-being includes more than satisfaction or immediate utility. It encompasses financial security, physical and mental health, privacy, dignity, agency, social inclusion and the capacity to make decisions consistent with one’s interests. Algorithmic fairness concerns whether automated systems produce unjustified disparities in exposure, pricing, recommendation, moderation or opportunity across groups.

A Framework for Ethical Decision-Making

A useful governance framework combines five questions. First, what is the objective? Is the organisation seeking to inform, facilitate a useful choice or maximise a metric without regard to consequences? Second, who bears the risk? Analyse effects across age, income, disability, language, gender, ethnicity and digital literacy rather than evaluating the average consumer alone. Third, what does the consumer know? Examine visibility of sponsorship, data use, recommendation logic, price conditions and alternatives. Fourth, how reversible is the decision? A mistaken click is less serious than an irreversible disclosure of sensitive data or a high-cost credit commitment. Fifth, who is accountable? Responsibility should be assigned to named decision-makers, not attributed vaguely to an algorithm or market pressure.

This framework can be operationalised through an ethical impact assessment:

• Define the intended consumer benefit and the commercial objective.
• Map the data, persuasive techniques, intermediaries and affected stakeholders.
• Identify foreseeable harms, including second-order and cumulative harms.
• Test transparency, accessibility, choice and withdrawal mechanisms.
• Examine disparate outcomes for vulnerable or protected groups.
• Introduce controls, document decisions and establish monitoring.
• Provide remedy, complaint handling and post-campaign review.

A proportional approach is essential. A low-risk contextual advertisement for a widely used household product does not require the same controls as behavioural targeting for gambling, health products, political communication or high-cost financial services. Risk rises with sensitivity of data, vulnerability of audiences, scale of exposure, intensity of persuasion, irreversibility of consequences and opacity of the system.

Deceptive Design and the Architecture of Choice

Traditional advertising ethics focuses on words, images and claims. Digital environments require attention to interface architecture. Consumers may encounter hidden fees, confusing opt-outs, forced account creation, disguised advertisements, default enrolment, obstructive cancellation and emotionally loaded prompts. These techniques exploit bounded attention and decision fatigue. The consumer technically retains a choice, but the design distributes effort unfairly between acceptance and refusal.

The ethical test is not whether a determined user can eventually find the correct option. It is whether a reasonable user can understand the choice and exercise it without disproportionate friction. Good design makes material information visible, presents important alternatives symmetrically, avoids misleading urgency and allows withdrawal as easily as acceptance. Consent interfaces should not use colour, size or placement to conceal the less profitable option.

Behavioural optimisation creates a further challenge. A/B testing can improve usability, but experiments that maximise compulsion, anxiety or impulsive spending may externalise costs onto consumers. Metrics such as clicks, watch time and conversion are incomplete proxies for value. Organisations should also monitor complaints, refund requests, regret, cancellation difficulty, exposure of minors and well-being indicators where relevant.

Vulnerable Audiences and the Ethics of Segmentation

Segmentation is strategically useful because consumers differ in needs, resources and contexts. Yet the ability to identify susceptibility creates a responsibility not to exploit it. Children have developing capacities for commercial understanding and may not distinguish entertainment from advertising. Older adults may be targeted by fraudulent or high-pressure offers. People experiencing illness, bereavement, addiction or financial distress may be unusually responsive to promises of immediate relief.

Responsible practice requires more than excluding obvious age categories. It involves examining inferred vulnerability, timing, emotional cues, product risk and the likely interpretation of the message. For example, promoting high-cost credit through messages emphasising desperation or social shame may be formally targeted at adults but still exploit vulnerability. Health-related advertising should avoid implying guaranteed outcomes, while gambling communication should not frame participation as a solution to financial difficulty.

Children’s marketing warrants heightened safeguards: clear separation between content and advertising, age-appropriate language, limited collection of personal data, avoidance of manipulative rewards and careful control of influencer relationships. Parental consent alone is not a complete ethical solution if the underlying design remains exploitative.

Representation, Stereotyping and Fairness

Advertising both reflects and constructs social meanings. Repeated portrayals can normalise who is powerful, attractive, competent, domestic, dependent or deserving. Stereotyping reduces individuals to simplified characteristics and can reinforce structural inequalities. Even apparently positive stereotypes may constrain identity by assigning groups fixed roles or expectations.

Representation should be evaluated at three levels. Presence asks who appears and who is absent. Portrayal asks how groups are represented, including voice, agency, status and narrative role. Systemic distribution asks who receives access to opportunities, favourable recommendations and commercial resources. A campaign may feature diverse actors yet still direct premium products, better offers or influential roles disproportionately toward one group.

Algorithmic targeting can reproduce discrimination without explicit discriminatory intent. Proxy variables such as location, browsing patterns, language or device type may correlate with protected characteristics. Fairness review should therefore examine outcomes, not merely the intentions of designers. Corrective measures can include broader training data, exclusion of sensitive inferences, independent testing, human review and accessible appeals.

Misinformation, Trust and Commercial Communication

The media environment allows misleading content to travel rapidly through influencers, recommendation systems, synthetic media and coordinated networks. Commercial misinformation may concern product efficacy, environmental performance, health outcomes, reviews, prices or the identity of a sponsor. The reputational consequences extend beyond one brand: repeated deception can reduce trust in advertising as an institution.

Responsible advertisers establish evidence standards before publication. Claims should be specific enough to verify, supported by appropriate evidence and presented with material qualifications. Testimonials should reflect genuine experience and should not imply typical results when results are exceptional. Influencers should disclose material relationships in a clear and prominent manner. Environmental claims require particular care because broad words such as “green” or “natural” may create impressions that exceed the evidence.

Platforms face a distinct governance problem: they may not create every item of misinformation, but their ranking, monetisation and targeting systems can amplify it. Transparency about moderation standards, provenance signals, complaint processes and advertiser verification can reduce systemic risk. No single measure is sufficient; governance must combine technical detection, human judgement, user education and remedy.

Surveillance, Privacy and the Datafied Consumer

Digital advertising increasingly depends on the collection and combination of behavioural data. Organisations may observe searches, location, device identifiers, purchases, social interactions and responses to content. They may also infer interests, income, health concerns or emotional states. The central ethical issue is not merely whether data are technically available, but whether their use is expected, proportionate and respectful of contextual privacy.

Privacy governance should address notice, lawful basis, consent where required, minimisation, security, retention, access, correction, deletion and restrictions on automated decisions. Individuals should not be forced to surrender extensive data merely to access a service unrelated to the data’s supposed purpose. Sensitive data and sensitive inferences demand heightened scrutiny. De-identification reduces risk but does not automatically eliminate it, particularly when datasets can be combined.

A strong privacy programme embeds controls throughout the data lifecycle. Product teams identify data needs before collection; legal and compliance teams assess obligations; security teams protect systems; analytics teams document models; and marketing teams restrict activation to approved purposes. Privacy is therefore a cross-functional governance responsibility rather than a policy document placed on a website.

Addictive Engagement and the Economics of Attention

Many media services are funded or optimised through attention. Notifications, infinite scroll, variable rewards, autoplay and personalised recommendations can increase repeated use. Engagement is not necessarily harmful: consumers may value convenient discovery, social connection and entertainment. The ethical issue arises when systems intentionally exploit compulsive tendencies, obscure stopping points or make disengagement difficult, particularly for minors.

A well-governed engagement strategy distinguishes beneficial frequency from harmful compulsion. Possible safeguards include quiet hours, meaningful notification controls, chronological or user-selected feeds, friction before high-risk purchases, reminders of elapsed time, age-appropriate defaults and easy account closure. The effectiveness of such measures should be assessed through behavioural and well-being outcomes, not only through continued usage.

Governance: Turning Principles into Organisational Practice

Ethical performance depends on governance structures. A board or senior leadership team should define risk appetite and assign responsibility. A cross-functional review group can evaluate high-risk campaigns and products. Policies should specify prohibited practices, evidence requirements, escalation routes and consequences for non-compliance. Training must be role-specific: a creative team needs guidance on representation and claims, while a data team needs guidance on profiling, security and fairness testing.

Governance should operate across the campaign lifecycle. At the planning stage, teams assess audience vulnerability, product risk and data use. During development, they test comprehension, accessibility and disparate effects. Before launch, an authorised reviewer confirms evidence, disclosures and approvals. After launch, monitoring detects complaints, unexpected targeting, misleading interpretations and harmful outcomes. Serious incidents should trigger suspension, correction, notification and remediation rather than silent optimisation.

Independent assurance strengthens credibility. Audits, red-team exercises, consumer research, impact assessments and external complaints channels can reveal problems internal teams miss. Documentation matters because accountability requires a record of what was known, what was decided and why. Compliance with law is a minimum standard; ethical governance asks whether a practice is defensible even where regulation is unclear or enforcement is unlikely.

Illustrative Case Study: The WellTrack Personalisation Programme

Background

WellTrack, a fictional health and lifestyle application, earns revenue through subscriptions and advertising partnerships. Its marketing team proposes using users’ activity patterns, searches and in-app questionnaires to personalise advertisements for supplements, fitness programmes and insurance products.

Situation and Problem

The proposed system identifies users who appear anxious about weight, sleep or chronic symptoms. Advertisers offer higher bids for these segments. The interface also presents a prominent “activate personalised benefits” button, while the data explanation and refusal option are located behind several screens. The commercial team argues that personalisation will improve relevance and revenue. Privacy, clinical and consumer advocates raise concerns about sensitive inferences, vulnerable users and misleading health claims.

Analysis

The programme presents several risks. First, the data may reveal or infer health information beyond what users expect from a lifestyle application. Second, the targeting logic may exploit anxiety by presenting urgent or emotionally charged messages. Third, high-value insurance or supplement offers may produce financial or physical harm. Fourth, the interface creates an asymmetry between acceptance and refusal, weakening meaningful consent. Finally, the organisation cannot assume that aggregated data are harmless if individual profiles can be reconstructed or used for sensitive targeting.

Approach and Strategy

WellTrack redesigns the programme around purpose limitation and data minimisation. Personalised health advertising is disabled by default unless users provide a clear, specific and revocable choice. Sensitive inferences are excluded from advertising segments. The company permits contextual advertising based on the content being viewed rather than the person’s inferred condition. All health claims undergo evidence review, and advertisers must provide substantiation and prominent qualifications.

The company introduces an ethical impact assessment, independent testing for disparate outcomes and a user dashboard showing categories of data used for personalisation. Users can withdraw consent through the same path used to provide it. A risk committee reviews campaigns involving health, finance or minors. Monitoring includes complaints, opt-out rates, misleading interpretations and evidence of harmful targeting, not only revenue.

Outcome

The revised system produces less short-term targeting revenue but reduces regulatory, reputational and consumer-harm risks. User research indicates improved understanding of data practices. The company also discovers that contextual advertising performs adequately for several product categories, demonstrating that intrusive personalisation was not necessary to meet every commercial objective.

Learning Points

The case illustrates that ethical governance can change the business model rather than merely add a disclosure. It also shows why consent, fairness and well-being must be considered together. A technically accurate notice cannot legitimise an exploitative purpose, and a useful product cannot justify unlimited surveillance. Strategic restraint may protect long-term trust and preserve the organisation’s licence to operate.

Challenges, Limitations and Common Mistakes

One challenge is that ethical judgements are context-dependent. A technique that assists one consumer may pressure another. Organisations may also face conflicts between global standards and local expectations. Another difficulty is measurement: autonomy, dignity and well-being are harder to quantify than clicks or revenue. This does not justify ignoring them; it requires mixed evidence, including qualitative research, complaints and stakeholder consultation.

Common mistakes include treating legal compliance as ethical adequacy, using vague consent language, assuming that anonymisation removes all risk, testing only average users, delegating responsibility to algorithms, and evaluating representation solely by counting faces. Other errors include relying on a one-time audit, hiding material disclosures in terms and conditions, and continuing a harmful campaign because it performs well commercially.

Ethical governance can also fail through incentive structures. If teams are rewarded exclusively for growth, they may interpret safeguards as obstacles. Leadership must therefore align performance measures with complaint reduction, accessibility, privacy quality, fair outcomes, consumer comprehension and responsible retention. These measures should not become superficial scorecards; they should inform resource allocation and accountability.

Current Developments and Strategic Implications

Generative artificial intelligence is changing advertising through synthetic images, personalised copy, conversational agents and automated media buying. It creates opportunities for accessibility and experimentation but raises questions about disclosure, likeness, copyright, fabricated testimonials, bias and the scale of misinformation. Organisations should maintain provenance records, human review for high-risk outputs and clear rules for synthetic content.

Privacy regulation and platform policy are also moving toward greater control over tracking, profiling and targeted advertising. The strategic direction is significant even when specific rules differ by jurisdiction: organisations will need stronger first-party relationships, contextual intelligence, transparent value exchanges and responsible data practices. Ethical governance is therefore becoming a competitive capability.

Consumer well-being should be integrated into brand strategy, not confined to compliance. Trustworthy brands can differentiate through honest claims, inclusive representation, accessible design and respectful personalisation. However, ethical positioning must be supported by operational evidence. Public commitments without changed incentives, controls and remedies create additional reputational risk.

Best-Practice Principles for Professionals

Professionals should begin with the consumer’s likely understanding rather than the organisation’s technical explanation. They should design for comprehension, accessibility and refusal as carefully as for conversion. High-risk audiences and products require stronger safeguards than ordinary mass communication. Data should be collected for defined purposes, retained for justified periods and protected throughout its lifecycle. Claims and endorsements should be evidence-based, clearly commercial where relevant and easy to verify.

Teams should test both intended and unintended outcomes, including differential effects across groups. They should document decisions, provide accessible complaint and remedy mechanisms, and stop or revise campaigns when evidence of harm emerges. Finally, leaders should treat ethical performance as a strategic outcome measured alongside reach, engagement and profitability.

Chapter Summary

Ethics in consumer behaviour concerns the conditions under which commercial influence respects autonomy, dignity, fairness and well-being. Manipulation, deceptive design, surveillance, stereotyping, misinformation and addictive engagement become especially serious when they exploit information asymmetry or vulnerability. A responsible approach evaluates not only advertising claims but also interfaces, data systems, targeting logic, recommendation structures and organisational incentives.

The chapter introduced informed consent, data minimisation, purpose limitation, algorithmic fairness, vulnerable audiences and consumer well-being. Its ethical impact framework asks about objectives, affected groups, consumer knowledge, reversibility and accountability. Effective governance combines lifecycle review, evidence standards, privacy controls, fairness testing, monitoring, remedy and leadership responsibility. In strategic terms, responsible advertising is not merely risk avoidance: it supports trust, durable customer relationships and a legitimate licence to operate.

Key Terms

Autonomy: The consumer’s capacity to make free and informed choices.

Algorithmic fairness: The principle that automated systems should not produce unjustified discriminatory outcomes.

Consumer well-being: Consumers’ overall privacy, health, financial security, dignity, agency and social welfare.

Consent: A voluntary and informed agreement to a specified practice or use of data.

Dark pattern: Interface design that steers users through deception, asymmetry or obstructed choice.

Data minimisation: Collecting only the data necessary for a defined purpose.

Deception: Materially misleading a consumer through false claims, omissions or disguised commercial intent.

Disinformation: False or misleading information deliberately distributed to deceive or cause harm.

Informed consent: Consent based on understandable information about purpose, consequences and withdrawal.

Misinformation: Inaccurate information shared without established intent to deceive.

Native advertising: Paid communication designed to resemble surrounding editorial or user-generated content.

Nudge: A change in the choice environment that influences behaviour while preserving choice.

Personalisation: Adapting content, offers or experiences to an individual or segment.

Profiling: Systematic analysis of data to predict characteristics, interests or behaviour.

Purpose limitation: Using collected data only for specified and compatible purposes.

Surveillance advertising: Targeted commercial communication based on observed or inferred behaviour.

Vulnerable consumer: A person whose capacity to understand, resist or recover from influence is contextually reduced.

Well-being metric: An indicator used to assess effects on consumer welfare beyond engagement or sales.

Review Questions

Short Answer Questions

1. How does manipulation differ from legitimate persuasion?

2. What is meant by data minimisation?

3. Why are children considered a vulnerable advertising audience?

4. Explain the relationship between stereotyping and consumer representation.

5. What is the purpose of an ethical impact assessment?

Long Answer Questions

1. Critically discuss how dark patterns undermine informed consent and consumer autonomy.

2. Explain the principal ethical risks of surveillance advertising and propose governance controls.

3. Analyse the role of algorithmic fairness in advertising targeting and recommendation systems.

4. Discuss why legal compliance is necessary but insufficient for responsible advertising.

5. Evaluate the strategic relationship between consumer well-being, trust and brand value.

Analytical / Application Questions

1. A streaming service uses autoplay, personalised notifications and difficult cancellation to increase retention. Apply the chapter’s ethical framework to assess the practice and recommend changes.

2. A financial advertiser targets users who frequently search for debt relief with urgent messages promising immediate approval. Identify the vulnerabilities and design a responsible alternative.

3. An influencer promotes a health supplement using a personal success story without disclosing payment or typical-result limitations. Analyse the ethical failures and propose a compliant communication plan.

22. Multiple Choice Questions with Answers

Question 1

Which condition most clearly distinguishes ethical persuasion from manipulation?

A. The message uses emotional imagery

B. The consumer can understand the material information and alternatives

C. The campaign produces a high conversion rate

D. The advertiser uses behavioural data

Correct Answer: B. The consumer can understand the material information and alternatives

Question 2

Which practice is an example of a dark pattern?

A. Showing a clear product comparison

B. Providing an accessible privacy dashboard

C. Making acceptance prominent while hiding and complicating refusal

D. Offering a contextual advertisement beside related content

Correct Answer: C. Making acceptance prominent while hiding and complicating refusal

Question 3

What does data minimisation require?

A. Collecting all potentially useful data

B. Collecting only data reasonably necessary for a specified purpose

C. Deleting data immediately after collection

D. Sharing data only with advertisers

Correct Answer: B. Collecting only data reasonably necessary for a specified purpose

Question 4

Why does a vulnerable audience require heightened safeguards?

A. It is always legally incapable of making decisions

B. Its members may have reduced capacity to understand, resist or recover from influence

C. It cannot be segmented for marketing purposes

D. It always rejects commercial communication

Correct Answer: B. Its members may have reduced capacity to understand, resist or recover from influence

Question 5

Which example best illustrates algorithmic discrimination?

A. A campaign uses different creative versions for languages

B. A recommendation system produces systematically poorer opportunities for a group through proxy variables

C. A brand changes its logo seasonally

D. A platform measures total impressions

Correct Answer: B. A recommendation system produces systematically poorer opportunities for a group through proxy variables

Question 6

A health app uses inferred anxiety to target expensive supplements. Which ethical concern is most central?

A. Insufficient colour contrast only

B. Exploitation of sensitive vulnerability through profiling

C. Excessive contextual relevance

D. Failure to increase engagement

Correct Answer: B. Exploitation of sensitive vulnerability through profiling

Question 7

Which statement about native advertising is most accurate?

A. It is always unethical

B. It is ethical only when it receives no payment

C. It can be acceptable when its commercial nature is clearly disclosed

D. It never influences consumer interpretation

Correct Answer: C. It can be acceptable when its commercial nature is clearly disclosed

Question 8

Which measure best reflects responsible engagement governance?

A. Maximising session length regardless of effects

B. Tracking only click-through rate

C. Monitoring engagement together with complaints, stopping ability and well-being indicators

D. Removing all personalisation

Correct Answer: C. Monitoring engagement together with complaints, stopping ability and well-being indicators

Question 9

What is the main purpose of purpose limitation?

A. To permit unlimited secondary use

B. To ensure data use remains compatible with the stated purpose

C. To eliminate the need for security

D. To prevent consumers from withdrawing consent

Correct Answer: B. To ensure data use remains compatible with the stated purpose

Question 10

In the WellTrack case, which solution best addressed the combined ethical risks?

A. Increasing the number of hidden disclosures

B. Using sensitive inferences more aggressively

C. Moving toward contextual advertising, clear consent and exclusion of sensitive targeting

D. Measuring success only through advertising revenue

Correct Answer: C. Moving toward contextual advertising, clear consent and exclusion of sensitive targeting