Cultivation
Theory
When the world on screen becomes a reference for the world outside.
Examine how recurring media portrayals relate to what people see as normal, common or dangerous. Learn to read the evidence, distinguish the patterns and design a careful study.
Who appears to solve society’s problems?
Which lives and occupations seem typical?
How dangerous does the wider world feel?
Look for the repeated pattern. Then ask what evidence connects it with an audience’s outlook.
In this chapter · Open the contents
Connect the message pattern with a testable claim.
- Explain cultivation and the three components of Cultural Indicators.
- Distinguish first-order judgments, second-order judgments and a cultivation differential.
- Recognise the comparisons needed for mainstreaming and resonance.
- Evaluate evidence and design a small cultivation-inspired study.
When stories become a reference point.
Imagine a television world in which nearly every neighbourhood conceals a crime, strangers usually betray one another and only a handful of professions solve important problems. Individual programmes may tell different stories. Across weeks of viewing, however, a recognisable picture of society keeps returning.
Cultivation theory asks how sustained exposure to recurring patterns in television’s message system contributes to viewers’ conceptions of social reality. Developed by George Gerbner and colleagues, it examines the relationship between a symbolic world and the assumptions people hold about the wider world. Gerbner, 1998.
Think of a window that repeatedly opens onto the same few streets. The view can become familiar without representing the whole city. Cultivation asks whether a repeated media view helps establish what seems common, normal, dangerous or possible beyond the screen.
The word cultivation points to an ongoing contribution. Media may reinforce an existing outlook as well as help change it. The theory does not require a viewer to believe every plot literally, or to recall which programme supplied an impression.
Look for a pattern across stories.
In an invented drama sample, doctors might appear in many leading roles while sanitation workers rarely speak. A cultivation question would ask whether sustained exposure relates to viewers’ estimates of how common particular occupations are, or to their judgments about whose work matters. It would not be answered simply by identifying one stereotyped character.
Pause and think: Does knowing that a programme is fictional settle the question?
No. Knowing that a particular detective is invented differs from estimating how often crimes occur or which occupations dominate society. A study must examine those judgments directly. Awareness of fiction neither proves cultivation nor rules it out.
Study the system that keeps telling the stories.
The Cultural Indicators project developed from the late 1960s at the Annenberg School for Communication, University of Pennsylvania. Gerbner worked with colleagues including Larry Gross, Michael Morgan and Nancy Signorielli. The project connected questions about media institutions, recurring messages and audiences’ views of society.
Television mattered because it carried a widely shared flow of stories into everyday life. Its images and speech could reach viewers across ages and levels of literacy, while commercially organised production repeatedly circulated familiar roles and relationships. This was a historically grounded account of television’s cultural position, not a claim that every programme was identical.
What production routines, policies, ownership arrangements and market pressures shape the stories?
storytelling
Which roles, events, relationships and outcomes recur across a systematically sampled body of content?
investigate
How does exposure relate to viewers’ conceptions of social reality, with relevant differences considered?
Why content analysis matters
Before claiming that a viewing pattern cultivates a view of society, establish which messages recur. Are threats frequent? Who threatens whom? Who exercises authority? Who receives help? Counting only the number of programmes watched leaves the symbolic pattern largely unspecified.
Gerbner and Gross’s violence-profile research connected analysis of television’s world with audience conceptions. Later work broadened the subjects and methods of cultivation research. Gerbner & Gross, 1976; Morgan & Shanahan, 2010.
Try it: One programme presents an honest official. Has it disproved cultivation?
No. A single counterexample does not describe the overall message system. Conversely, one corrupt official does not establish a recurring pattern. Sample content systematically and ask how the pattern varies across programmes, genres and time.
Separate exposure, judgment and interpretation.
- Heavier / lighter viewing
- Relative exposure categories defined within a study. Specify the period, medium and rule used. There is no universal number of daily hours that automatically produces cultivation.
- Television answer
- A response consistent with a pattern identified in the television world. It is not simply any answer given by someone who watches television.
- Cultivation differential
- A difference in a relevant response between heavier and lighter viewers. The simplest version is descriptive; an adjusted analysis can examine the association alongside other variables.
- First-order judgments
- Estimates of frequency, probability or prevalence: for example, the proportion of employed adults working in a particular occupation.
- Second-order judgments
- Broader beliefs, attitudes or evaluations: for example, whether most people can be trusted.
First-order and second-order describe kinds of judgment. They do not mean “an immediate effect” and “a later effect,” or two stages every viewer must pass through. An estimate about prevalence and an attitude about trust can be studied separately. For a cognitive account of first-order estimates, see Shrum (1995).
What is the “mean world” idea?
Mean-world judgments concern a picture of society marked by danger, mistrust or the expectation of being harmed. Television violence became a major route into this question. The research problem extends beyond whether audiences imitate violent actions: what sort of world do recurring portrayals make seem usual?
The phrase mean world syndrome names a media-research idea, not a clinical diagnosis. Specific studies need specific measures. General mistrust, fear of crime and estimated victimisation risk are connected possibilities, but they are not interchangeable measures of one automatic outcome. Gerbner & Gross, 1976.
Match the benchmark to the question.
A fictional count of police characters cannot be compared directly with the percentage of all citizens employed in policing: the units differ. Likewise, police-recorded crime, victimisation survey estimates and scenes in a drama measure different things. Explain the population, denominator, event definition and period before comparing them.
Classify these: “How many adults are doctors?” and “Doctors deserve more influence.”
The first asks for a prevalence estimate, a first-order judgment. The second asks for an evaluation, a second-order judgment. Neither response alone establishes a cultivation effect; you still need evidence about relevant exposure and recurring messages.
Mainstreaming and resonance ask different questions.
Gerbner and colleagues used mainstreaming and resonance to explain why cultivation relationships may vary across social groups and lived circumstances. Both concern patterns across people, rather than a guarantee about any individual. Gerbner et al., 1980.
Mainstreaming
- Compare
- Groups with different backgrounds, at comparable levels of viewing.
- Look for
- Smaller differences between groups among heavier viewers, in a direction consistent with the shared television pattern.
- Question
- Do otherwise different groups show more similar outlooks within heavier viewing?
Key comparison: the gap between background groups at lighter versus heavier exposure.
Resonance
- Compare
- People whose relevant direct experience matches the television pattern with those whose experience matches less.
- Look for
- A stronger exposure–judgment relationship where media portrayals and lived experience correspond.
- Question
- Does relevant experience amplify the association with viewing?
Key comparison: the viewing-related gap across levels of matching experience.
A shared outlook is not necessarily a moderate outlook.
In mainstreaming, “mainstream” does not simply mean the political centre or the average of all opinions. The important question is whether heavier viewing is associated with a more shared, television-consistent outlook across groups that otherwise differ. It does not require every difference to disappear.
High fear alone does not demonstrate resonance.
People who experienced victimisation might express more fear regardless of viewing. To investigate resonance, ask whether the relationship with viewing is stronger for them than for a relevant comparison group. The level of fear and the difference associated with viewing are separate comparisons.
For example, if the heavier–lighter gap is similar among people with and without relevant direct experience, there is no clear descriptive evidence here that experience amplifies that gap. The results lab below makes this distinction concrete.
How might repeated portrayals enter a judgment?
One possible route is the accessibility of examples. When asked to estimate how common something is, people may draw on instances that come readily to mind. Repeated television portrayals can supply such instances. Shrum’s social-cognition account develops this possibility for first-order judgments, especially when people use relatively quick processing strategies. Shrum, 1995.
Consider an invented viewer who has encountered many hospital dramas but has little direct knowledge of the workforce. Doctors may be easy to imagine when the viewer estimates common occupations. To test this explanation, a researcher needs more than an association with viewing: the proposed processing mechanism also requires evidence.
This account does not exhaust cultivation. Questions about shared storytelling, social roles and power belong to a broader cultural analysis. A short-term accessibility experiment and a study of an enduring symbolic environment address different levels of the problem.
| Approach | Main question | Illustrative focus |
|---|---|---|
| Cultivation | How does sustained exposure to recurring messages relate to conceptions of social reality? | Expectations about trust, danger or typical occupations. |
| Uses & Gratifications | Why do people use particular media, and what do they seek or obtain? | Reasons for choosing a crime series or a news source. |
| Agenda setting | How does media attention to issues relate to their perceived importance? | Whether crime is seen as a leading public concern. |
| Framing | How is an issue organised and interpreted? | Whether a crime report emphasises policing or social conditions. |
| Social learning / social cognitive approaches | How do observation, models and consequences contribute to learning? | Whether a depicted action supplies a model for conduct. |
These processes can coexist. Someone may choose a series for enjoyment, interpret its stories critically and still draw on familiar portrayals when estimating the wider world. Naming one approach does not eliminate the questions asked by another.
Pause and think: A news alert makes someone worry for ten minutes. Is that cultivation?
That observation describes a short-term response. It does not establish the sustained message pattern or broader exposure–judgment relationship at the centre of cultivation research. The response could form part of a larger study, but it cannot stand in for it.
A durable research programme—with contested explanations.
Cultivation helped researchers connect patterns in media content with audience views of society. It also prompted debates over theory, measurement and causal inference. Potter distinguishes Gerbner’s broader system-level explanation from research that uses cultivation as a set of operational practices or a wider forum for media-effects inquiry. These uses should not be assumed to mean exactly the same thing. Potter, 2014.
What do research syntheses report?
| Study | Research base | Reported result |
|---|---|---|
| Television · 2021 | 3,842 effect sizes from 406 independent samples across five decades. | An overall effect-size estimate of .107: a small average relationship. Hermann, Morgan, & Shanahan. |
| Social media · 2023 | 460 effect sizes from 66 independent samples. | An overall estimate of .123; content-specific exposure showed stronger relationships than general social-media use. Hermann, Morgan, & Shanahan. |
An effect-size estimate of .107 does not mean that 10.7% of viewers were influenced. An average also does not predict every viewer’s response. The two reviews use different bodies of research; their numerical estimates should not be ranked as proof that one medium is more powerful.
A synthesis can show a recurring association across studies while inheriting limits from their designs and measures. It cannot turn every observational relationship into a causal finding. Read how exposure, outcomes, sample selection and alternative explanations were handled.
What makes a cultivation claim persuasive?
- A demonstrated message pattern. The prediction follows from what the relevant content repeatedly represents.
- Exposure measured at the right level. Total viewing, genre viewing and exposure to a specific theme answer different questions.
- A clearly defined judgment. Prevalence estimates, trust and fear should not be collapsed into one vague “worldview” measure.
- A design that addresses alternatives. Prior beliefs, personal experience and social circumstances can affect both viewing and judgments.
Three recurring difficulties
Selection: people who already feel unsafe may choose different content. Confounding: another factor may influence both viewing and fear. Timing: one survey cannot show whether exposure preceded the belief. Statistical controls can help examine specified alternatives, but do not remove every source of bias.
Read the comparison before naming the effect.
These numbers illustrate comparisons; they are not research findings. In each study, relevant recurring messages have been identified and viewing groups defined in advance. Studies B and C have 100 respondents in each cell. Write your interpretation before revealing the explanation.
One more step
Suppose both experience groups in study C showed a 10-point viewing gap. Direct experience could still be associated with higher risk perceptions, but it would not amplify the gap on this percentage-point scale. Explain that distinction in two sentences.
Follow recurring messages across a changing media world.
Streaming, social feeds and personalised recommendations complicate the idea of a widely shared television environment. Viewers can encounter different content, and the same story can travel across broadcast clips, short videos, commentary and discussion. The task is to establish which symbolic patterns actually recur for which audiences.
Morgan, Shanahan and Signorielli examine cultivation’s continued applicability under changed media conditions. The extension requires attention to the original assumptions as well as new ways of measuring exposure. Morgan et al., 2015.
Ask three questions about a feed.
- What repeats? A platform’s name does not identify the message. Specify the recurring theme, role, relationship or outcome.
- Who encounters it? Recommendation, following, searching and sharing can produce different repertoires. Measure the user’s relevant exposure.
- Which conception might relate to it? Predict a particular estimate or belief, rather than “an effect on the mind.”
The 2023 social-media meta-analysis supports taking content-specific exposure seriously, while also reporting variation across measures and samples. It does not establish that every feed cultivates the same outlook. Hermann et al., 2023.
For an Indian classroom project, you might compare recurring portrayals in a defined set of Bengali and Hindi series. Use comparable sampling rules and measure what participants actually watch. A shared streaming platform does not guarantee a shared message environment across languages, genres or households.
Teaching example: a feed full of exceptional lifestyles
Imagine a fictional feed repeatedly displaying costly holidays, large homes and unusually successful careers. A cultivation-inspired study could examine whether sustained exposure relates to estimates of how common these lifestyles are. It would first need evidence about the feed’s actual content and the person’s exposure.
Do not begin with “social media makes everyone materialistic.” Distinguish prevalence estimates from values, consider deliberate selection and compare competing explanations. A person’s income, aspirations and peer group may help shape both the feed and the judgment.
Repetition in AI-mediated information
An AI assistant or automated summary may repeatedly present similar examples of leadership, expertise or everyday life. This suggests a possible research extension, not an established cultivation finding. Audit the outputs, measure actual repeated encounters and specify the conception of social reality under investigation.
Connect content, exposure and a clearly defined judgment.
A manageable classroom topic is occupational visibility in fictional drama and viewers’ estimates of common occupations. This lets you practise the logic without reducing every cultivation study to violence. Treat a small project as an exploratory exercise, with conclusions scaled to its design.
- Specify a message prediction.
Select a defined body of content, such as a stated set of series and a fixed release period. Before examining audience results, define what would count as occupational overrepresentation in that content and which viewer estimate you expect it to relate to.
- Sample content transparently.
State how series and episodes were selected. A few favourite scenes cannot represent all television or streaming drama. If you sample one genre, name the genre and keep the inference within that scope.
- Define the coding unit.
For example, code each named working character appearing in an episode, recording an identifiable occupation or “unclear.” Decide how repeat appearances, several occupations and ambiguous roles will be handled. Character appearances and unique characters are different units.
- Check the coding.
Have a second coder independently code a subset using the same rules. Investigate disagreement and report an appropriate reliability measure. Do not treat agreement reached after discussion as evidence of independent reliability.
- Measure relevant exposure.
Ask about viewing of the sampled titles or genre over a specified period, alongside broader viewing if your question requires it. A short diary can supplement recall. It describes current exposure; a week’s diary does not by itself establish years of cumulative viewing.
- Measure the judgment independently.
Ask a defined estimate, such as “Out of 100 employed adults in [specified population], how many work in [specified occupation]?” Keep population and occupational category clear. Do not cue the prediction by asking whether television has made the respondent overestimate the occupation.
- Examine alternatives and uncertainty.
Consider prior knowledge, training, personal contacts in the occupation and other sources of information. Analyse the exposure–estimate association and its uncertainty. Do not select controls solely because they make a desired result significant; justify their roles in the explanation.
- State what the design supports.
Report how participants were recruited, what was measured and the limits of the content sample. Obtain consent from adult volunteers and avoid collecting private account histories. An association can be consistent with cultivation while leaving selection and causal direction unresolved.
Three draft measures
| Measure | Illustrative question | Keep separate |
|---|---|---|
| Exposure | In the past seven days, approximately how long did you watch the specified titles? | Current recall versus a long-term viewing history. |
| First-order estimate | Out of 100 employed adults in the specified population, how many work in this occupation? | A numerical estimate versus an attitude towards the occupation. |
| Second-order evaluation | How much do you agree that this occupation deserves greater decision-making influence? | An evaluation versus its supposed cause. |
Use several carefully developed items when measuring a broader attitude. Pilot the wording, define response anchors and assess the quality of the measures. Comparing estimates with employment data also requires a credible benchmark with matching definitions.
Worked content example: 24 of 60 character appearances are police roles.
24 ÷ 60 × 100 = 40%. This describes the share of coded working-character appearances in that invented sample. It does not mean 40% of viewers are police, 40% of all television characters are police, or 40% of workers in the population are police.
If viewers with more relevant exposure also give higher workforce estimates, that is a separate audience result. Connect the two cautiously, check that the sampled messages match their viewing, and do not infer an effect solely from the content percentage.
Choose a design for the claim.
A survey maps relationships.
A cross-sectional survey can examine an association at one time. A panel can add temporal ordering by following the same people, but attrition, measurement error and unmeasured influences still matter.
An experiment tests a narrower process.
Random assignment can strengthen a causal test of a specified exposure. A brief laboratory effect does not automatically demonstrate years of cumulative cultivation in ordinary life.
Build your methods further: Content Analysis · Research Methodology · Ethnography.
Use the lecture to test your explanation.
Main lecture · Dr. USPCultivation Theory by USP
Before watching, write a three-sentence explanation of cultivation. Include a recurring message pattern, a form of exposure and a conception of social reality. After the lecture, revise any sentence that makes the relationship sound automatic.
Three viewing prompts
- How does a repeated message pattern differ from one memorable scene?
- What comparison distinguishes mainstreaming from resonance?
- What evidence would you need before attributing a viewer’s belief to television?
The Mean World Syndrome · Extended preview
This documentary preview introduces the connection between media violence and perceptions of danger. It is an extract, not the full film. Read its claims alongside the chapter’s distinctions between evidence, interpretation and causal inference.
While watching: identify one statement about media content, one about an audience judgment and one proposed explanation linking them. What kind of study would test that link?
Choose an answer. Defend the reasoning.
Write a reason for your choice before opening the explanation. These questions are for self-study; answers are not submitted or automatically scored.
01. Which question most clearly belongs to cultivation research?
- Why did one viewer choose a particular programme tonight?
- How does sustained exposure to recurring portrayals relate to beliefs about social reality?
- Which headline word attracts the most immediate clicks?
- Did a viewer imitate one action immediately after seeing it?
Show answer and explanation
Answer: B. Cultivation focuses on sustained message patterns and conceptions of the wider world. The other questions may be useful, but address different processes.
02. Which is a first-order cultivation judgment?
- Most people cannot be trusted.
- This occupation deserves more influence.
- Approximately what proportion of employed adults work in policing?
- A strong leader is always desirable.
Show answer and explanation
Answer: C. The question asks for a prevalence estimate. Beliefs, values and evaluations are commonly classified as second-order judgments; the labels do not denote a fixed time sequence.
03. Heavier viewers show 52% agreement and lighter viewers 40%. What is the unadjusted difference?
- 12 percentage points.
- 12% relative growth.
- A 52-point causal effect.
- Proof that 12% of viewers changed their minds.
Show answer and explanation
Answer: A. Subtracting the percentages gives 12 percentage points. It is a descriptive group difference, not a count of people whose beliefs changed or proof of causation.
04. Which pattern is most consistent with mainstreaming?
- Every viewer watches exactly the same programme.
- A programme becomes popular with a new audience.
- Viewers with direct experience always express more fear.
- Background groups that differ among lighter viewers have more similar, television-consistent outlooks among heavier viewers.
Show answer and explanation
Answer: D. Mainstreaming concerns convergence across background groups in relation to viewing. Popularity alone does not demonstrate it.
05. What comparison is needed to investigate resonance?
- Only the overall fear level of people who experienced victimisation.
- Whether the exposure–judgment relationship is stronger where relevant direct experience matches the portrayed world.
- Only the total number of violent scenes in one episode.
- Whether a viewer can recall the programme title.
Show answer and explanation
Answer: B. A higher baseline among those with direct experience is insufficient. Compare the viewing-related relationship across experience groups and assess uncertainty and alternatives.
06. A survey links heavier viewing with mistrust. Which conclusion is justified on its own?
- Viewing caused mistrust in every respondent.
- Prior mistrust cannot affect viewing choices.
- An association was observed, subject to the measures, sample and design.
- Content analysis is therefore unnecessary.
Show answer and explanation
Answer: C. Selection, confounding and timing remain relevant. The relationship can be consistent with cultivation without identifying its causal origin.
07. What is the best first step in extending cultivation to a personalised feed?
- Identify the recurring content and measure the user’s relevant exposure.
- Assume every user sees the same symbolic world.
- Use total phone ownership as the complete exposure measure.
- Treat one inaccurate post as proof of long-term cultivation.
Show answer and explanation
Answer: A. The platform’s name does not identify the message system. Determine what recurs, who encounters it and which judgment it might relate to.
08. A meta-analysis reports an overall effect-size estimate of .107. Which interpretation is most defensible?
- Exactly 10.7% of all viewers were influenced.
- Every individual experiences an identical effect.
- The association must be entirely causal.
- The synthesis reports a small average relationship that must be interpreted with the underlying designs and measures.
Show answer and explanation
Answer: D. An effect-size estimate is not the percentage of people affected. A pooled association does not remove measurement limits or establish causation for every included study.
Applied task · Write 400–600 words
Choose a clearly defined media topic: occupational visibility, depictions of trust, expectations about success or another recurring social pattern. Describe a small content sample, formulate a cultivation prediction and propose measures of exposure and a relevant judgment.
Explain one selection effect or confound that could produce the same observed relationship. State what a one-time survey could establish, what would remain unresolved and how a stronger design could help. Use real evidence you have gathered or label your examples as fictional.
| Criterion | Points | Look for |
|---|---|---|
| Conceptual precision | 3 | Separate repeated messages, exposure and audience judgments. |
| Measurement and evidence | 3 | Define the content unit, exposure period and outcome clearly. |
| Theory application | 2 | Link the predicted judgment to the demonstrated message pattern. |
| Limits and design | 2 | Address an alternative explanation and avoid an unsupported causal claim. |
Ready to move on?
Ask what the repeated world makes familiar.
A cultivation explanation connects recurring messages, sustained exposure and conceptions of social reality. Its value lies in studying that relationship carefully: what repeats, who encounters it, which judgment is involved and which alternative explanations remain.
Quick glossary
- Cultural Indicators
- The research programme connecting institutional processes, message systems and audience conceptions.
- Message system
- A patterned body of representations studied across content, rather than one isolated message.
- Cultivation differential
- A difference in a relevant response between heavier and lighter viewers.
- First-order judgment
- An estimate of prevalence, frequency or probability.
- Second-order judgment
- A broader belief, attitude or evaluation.
- Mainstreaming
- Convergence in television-consistent outlooks across background groups associated with heavier viewing.
- Resonance
- A stronger cultivation relationship where relevant direct experience corresponds with recurring media portrayals.
- Mean-world judgments
- Conceptions of society marked by danger, mistrust or expectations of harm.
- Confounding
- A situation in which another factor offers an alternative explanation for an observed exposure–outcome association.
- Meta-analysis
- A statistical synthesis of findings across studies, interpreted in light of their methods and measures.
Read in three steps
Begin with Gerbner’s overview for the framework. Read the mainstreaming study and Shrum to sharpen comparisons and mechanisms. Then bring Potter’s critique into conversation with the television and social-media syntheses.
The links lead to scholarly publisher records. Some full texts may require institutional access. Years refer to the original publications, rather than later dates displayed on migrated journal websites.
- Gerbner, G., & Gross, L. (1976). Living with television: The violence profile. Journal of Communication, 26(2), 172–199. https://doi.org/10.1111/j.1460-2466.1976.tb01397.x
An early statement connecting television’s symbolic world and audience conceptions. - Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1980). The “mainstreaming” of America: Violence profile no. 11. Journal of Communication, 30(3), 10–29. https://doi.org/10.1111/j.1460-2466.1980.tb01987.x
Mainstreaming, resonance and variation across groups. - Shrum, L. J. (1995). Assessing the social influence of television: A social cognition perspective on cultivation effects. Communication Research, 22(4), 402–429. https://doi.org/10.1177/009365095022004002
A cognitive account of first-order judgments. - Gerbner, G. (1998). Cultivation analysis: An overview. Mass Communication & Society, 1(3–4), 175–194. https://doi.org/10.1080/15205436.1998.9677855
The broader Cultural Indicators perspective. - Morgan, M., & Shanahan, J. (2010). The state of cultivation. Journal of Broadcasting & Electronic Media, 54(2), 337–355. https://doi.org/10.1080/08838151003735018
Development, applications and debates in the research tradition. - Potter, W. J. (2014). A critical analysis of cultivation theory. Journal of Communication, 64(6), 1015–1036. https://doi.org/10.1111/jcom.12128
Different conceptions of cultivation and questions about theoretical precision. - Morgan, M., Shanahan, J., & Signorielli, N. (2015). Yesterday’s new cultivation, tomorrow. Mass Communication and Society, 18(5), 674–699. https://doi.org/10.1080/15205436.2015.1072725
Cultivation under changing media conditions. - Hermann, E., Morgan, M., & Shanahan, J. (2021). Television, continuity, and change: A meta-analysis of five decades of cultivation research. Journal of Communication, 71(4), 515–544. https://doi.org/10.1093/joc/jqab014
A synthesis of 406 independent samples.