Cultivation Theory In Media

Cultivation theory holds that heavy, long-term television viewing gradually reshapes how people see the real world. Their beliefs about danger and trust start to echo what they watch, not everyday reality. George Gerbner developed the theory in the late 1960s, and it remains one of media psychology’s most tested ideas.

Young man holding television remote control. Hands pointing to tv screen set and turning it on or off select channel watching tv on his sofa at home in the living room relax.
Heavy viewers watch TV over four hours daily. Their worldview reflects the dramatic version of reality that television portrays. Light viewers, typically defined as those watching under two hours a day, do not show this shift to the same extent.

What is Cultivation Theory

Cultivation Theory is a sociocultural theory of mass communication. George Gerbner and his colleagues developed it at the University of Pennsylvania, starting in the late 1960s. It grew out of a wider research programme, the Cultural Indicators project, which tracked recurring patterns in television content.

The theory is not about one programme changing one opinion. Instead, it argues that steady, lifelong television exposure gradually shapes people’s broad assumptions about how dangerous, wealthy, or trustworthy the world is.

Assumptions

  • Symbolic Environment: Humans build knowledge from stories, not just direct experience. Gerbner named three story types: how things work, how things are, and what to do. Television replaced schools and parents as this storyteller.
  • Traits of Television: Television is pervasive (in nearly every home), accessible (needs no literacy or effort), and coherent (its messages stay consistent across programmes).
  • Artificial Reality: Television presents an artificial world tailored to the interests of media institutions and sponsors, not an accurate one. It overrepresents violence, affluence, and occupations like doctors and police, so heavy viewers absorb this distorted picture as fact.

Methodological Approach: Cultivation Analysis

When testing these effects, Gerbner outlined a four-step methodology known as Cultivation Analysis:

  1. Message System Analysis: Identifying the most repeated, steady patterns and values across TV content.
  2. Assessing Exposure Time: Determining how much time respondents spend watching TV on an average day to categorize them as “heavy” or “light” viewers.
  3. Investigating Views: Asking respondents questions about the world without mentioning television.
  4. Establishing Relationships: Comparing the answers to see if heavy viewers give responses that align more closely with the television world than light viewers do.

The Founding Study: Gerbner and Gross (1976)

Aim: Gerbner and Gross (1976) named the theory in this paper. They aimed to show that heavy viewing links to a more dangerous view of the world.

Method: The team combined a content analysis of TV violence with survey data. They sorted adults and adolescents into light and heavy viewers. Respondents then answered questions with a “television answer” and a “real-world answer,” such as their odds of becoming a crime victim in a given week.

Results: Heavy viewers gave the television-consistent answer far more often than light viewers. They overestimated violence rates, the share of police in the workforce, and their own risk of being a victim. They also reported deeper mistrust of other people.

Conclusion: Gerbner and Gross concluded that television cultivates a “mean world” outlook. Its beliefs mirror the screen, not real crime statistics.

The study’s strength was pairing an independent content analysis with real survey data, rather than assuming what television contained. Its weakness is that the audience data are correlational. A heavy-viewing, high-fear link fits television causing fear. But it also fits fearful people simply choosing to watch more.

Mechanisms of Cultivation

At a macro level, cultivation operates through mechanisms that homogenise or amplify the beliefs of different demographic groups:

Mainstreaming

Mainstreaming is the process by which steady exposure to the same television messages pulls viewers from different backgrounds toward a shared, homogenous outlook.

Gerbner called this the “3 Bs.” Television blurs traditional distinctions between groups, blends their outlooks into one mainstream, and bends that mainstream toward its own institutional interests (Gerbner et al., 1994).

Resonance (The “Double Dose” Effect)

Resonance is the overlap between what people see on television and what they already experience in real life.

When a viewer’s own lived experience matches the television message, resonance kicks in. The match doubles the effect. Gerbner called it a “double dose”: screen and street reinforce each other, intensifying the cultivation of fear (Gerbner et al., 1980).

For example, someone who has already experienced crime and then watches more televised violence feels their fear confirmed and amplified.

This reinforced fear can lead people to demand more security and tougher policing.

First-Order vs. Second-Order Effects

To explain how television viewing translates into real-world beliefs and attitudes, cultivation researchers differentiate between two distinct types of judgements: first-order judgements and second-order judgements.

This distinction is crucial because it helps researchers understand the specific cognitive and psychological processes, whether occurring during the viewing experience or after the fact, that drive the cultivation effect.

First-Order Judgements

First-order judgements refer to quantifiable, memory-based estimates about objective facts in the real world.

These are numerical estimates or probabilities, such as the likelihood of becoming a crime victim or the share of the workforce employed as doctors, lawyers, or police. A viewer might also guess how often joggers get attacked after dark.

Cognitive Mechanisms behind First-Order Judgements

  • Off-line (Memory-Based) Processing: First-order judgements are typically constructed “off-line” (after the viewing experience) rather than during the actual viewing. This is because viewers rarely generate spontaneous statistical percentages or probability estimates about societal events while they are engrossed in a television programme. Instead, they make these judgements retrospectively when prompted (e.g., when asked by a researcher or when discussing a topic in daily life).
  • Accessibility Model and Heuristic Processing: The cognitive mechanism driving first-order judgements is best explained by L. J. Shrum’s accessibility model. Because social reality questions are difficult to answer with precision, people do not exhaustively search their memories; instead, they rely on mental shortcuts or “heuristic processing”. Specifically, they use the availability heuristic, which means they base their estimates on how easily examples come to mind.
  • Storage Bin Effect: Heavy television viewing frequently exposes individuals to specific exemplars (such as violence or certain professions). This constant repetition keeps these television messages fresh, placing them at the top of the cognitive “storage bin” and making them the most easily accessible memories. Consequently, heavy viewers overestimate the prevalence of these events in the real world simply because the television-provided examples are the easiest to retrieve from memory. Notably, if viewers are explicitly prompted to think about the source of their memories (source discounting), this first-order cultivation effect tends to disappear.

Second-Order Judgements

Second-order judgements are qualitative and involve the formation of evaluative beliefs, subjective attitudes, and moral values.

These judgements are not hard numbers. They are broader worldviews, such as believing the world is a “mean and dangerous place” or feeling a lack of interpersonal trust. Other examples include endorsing materialistic values or judging whether society is basically ethical or wicked.

Cognitive Mechanisms behind Second-Order Judgements

  • On-line Processing: Because second-order judgements cannot be expressed as simple estimations of quantities, they are not adequately explained by the availability heuristic used in memory retrieval. Instead, Shrum and colleagues argue that second-order beliefs are developed on-line, meaning they are processed in real-time as the information is being encountered during the television programme.
  • Spontaneous Construction and Updating: While watching television, viewers become emotionally and cognitively engaged with the narrative and characters. During this process, they spontaneously construct new attitudes or update existing ones. For example, if a viewer watches a story where an important character behaves dishonestly, the viewer may reflect on these actions and adjust their general trust in other people right then and there.
  • Persuasion and Elaboration: The mechanism behind second-order judgements closely resembles traditional persuasion models, such as the Elaboration Likelihood Model. As viewers encounter specific information and absorb the overarching “message” of the programming, their beliefs and values are influenced. The strength of this cultivation effect depends heavily on the viewer’s motivation and ability to process the information while viewing.

The Relationship Between the Two Judgements

Cultivation researchers once assumed a simple, one-way relationship between these two judgements.

Hawkins and Pingree’s early “construction” model proposed that viewers first learn facts from television, then build these into broader attitudes about the world.

Testing did not confirm this direct link. For a time, researchers concluded the two judgements form independently.

Shrum later resolved the puzzle: first-order judgements form offline, after viewing, while second-order judgements form online, during it.

More recent research (Schnauber & Meltzer, 2016) suggests the two are not so separate after all: overall viewing shapes both, and first-order estimates can directly influence second-order beliefs.

Mean World Judgement

Mean world syndrome is Cultivation Theory’s best-known prediction. It describes how long-term, heavy television viewing cultivates a belief that the real world is more hostile and dangerous than it actually is.

Television systematically overrepresents crime and violence compared to reality. Heavy viewers absorb this distorted “television reality” and use it to judge everyday life.

Cognitive Mechanism: A Second-Order Judgement

A “mean world” belief is a second-order judgement.

Heavy viewers may also overestimate their statistical odds of being mugged, a first-order, memory-based judgement. But mean world syndrome runs deeper than any single number.

It is a spontaneous, real-time judgement about society’s fundamental nature, not a calculated statistic.

Through cumulative exposure, heavy viewers build a broader worldview of profound mistrust, coming to see society as wicked and unsafe.

Why Television Cultivates a “Mean World”

Violence is everywhere in television drama because it works as a storytelling shortcut, not because networks want to shock viewers.

As Gerbner defined it, television violence is “the overt expression of physical force (with or without a weapon, against self or others) compelling action against one’s will on pain of being hurt or killed, or actually hurting or killing” (Gerbner & Gross, 1976).

This dramatic device shows the audience who gets away with what, against whom, and why. Repeated from childhood onward, the pattern teaches viewers that violence is a normal, constant threat.

The Role of Resonance

Resonance is the cultivation dynamic that decides how strong the mean world effect becomes.

The effect is not uniform. It grows stronger when a viewer’s real-life experience matches the violent world shown on television.

Picture a heavy viewer who lives in a high-crime neighbourhood and also watches a steady diet of violent television. For them, the on-screen message “resonates” with daily reality.

They receive a “double dose” of the message. This double exposure sharply boosts the cultivation of a mean world belief.

Societal Consequences

The psychological consequences of the mean world judgement radiate outward into broader social and political attitudes.

Research demonstrates that the frequency of television viewing and the resulting mean world syndrome are positively correlated with:

  • A heightened fear of walking alone at night and high estimates of perceived danger.
  • Increased interpersonal mistrust and alienation.
  • More conservative and punitive attitudes toward criminal justice.
  • Higher prejudice, including sexism, against groups often stereotyped as victims on screen, such as minorities and the elderly.

Ultimately, mean world syndrome shows that television does more than entertain. It acts as a socializing force that shapes how safe people feel and how they see others, a pattern closely related to media-driven moral panics.

Critical Evaluation

Over the decades, Cultivation Theory has faced considerable criticism. The main concerns are:

  1. Total Viewing vs. Genre-Specific Viewing: Gerbner treated all television as one homogeneous message system. Critics argue specific genres predict beliefs better than total viewing hours.
  2. Causation vs. Correlation: Critics argue the theory never proved that television causes fear, rather than fear causing more viewing.
  3. The Changing Media Landscape: Streaming, social media, and video games have replaced the few homogeneous networks the theory was built around.

Total Viewing vs Genre-Specific Viewing

Horace Newcomb (1978) raised an early version of this challenge. He argued that Gerbner’s Violence Index treated all screen violence as equivalent. Cartoon slapstick, Western gunfights, and gritty crime drama were all lumped into one number.

The point cuts deeper than counting incidents. Newcomb argued that audiences do not experience different types of violence the same way. A single “amount of violence” score misses how viewers actually make meaning from what they watch.

W. James Potter (2014) pushed the critique further. He reviewed four decades of cultivation research.

Potter concluded that “cultivation” had never been pinned down to one testable claim. He catalogued open questions the field still had not resolved, including whether total viewing or specific genres matter more.

Potter’s verdict was not that cultivation is false, but that it remains under-specified. That makes some versions of it hard to disprove. Later research has responded by measuring exposure to specific genres, such as medical dramas or crime shows, rather than total hours.

Causation vs Correlation

Paul Hirsch (1980, 1981) reanalysed Gerbner’s own survey data, this time controlling for several demographic variables at once.

The cultivation differences shrank toward triviality. Hirsch also found a puzzling anomaly: people who watched no television at all were sometimes more fearful than light viewers. A simple “more viewing, more fear” model could not explain that pattern.

Gerbner’s team pushed back. They argued that controlling for every correlate of viewing at once can strip away the very demographic pathways through which television has a real effect.

Anthony Doob and Glenn Macdonald tested the same question differently in 1979. They picked four Toronto neighbourhoods. These varied in actual crime level and in city-versus-suburb status.

Once real neighbourhood danger was taken into account, the viewing-fear link largely disappeared. People in genuinely dangerous areas both watched more television and were reasonably more afraid.

Together, these reanalyses show the cultivation differential is small. It can shrink further under demanding statistical controls, though the debate over how many controls are fair is still unresolved.

The Changing Media Landscape

Newcomb (1978) and Potter (2014) both pointed to the same underlying problem: cultivation assumes a single, homogeneous television message system reaching a mass audience in roughly the same way.

Cable, streaming, gaming, and social media have since fragmented that once-unified audience. Viewers now select their own content. Algorithms personalise what they watch, rather than broadcasting identical programmes to everyone at once.

That shift weakens cultivation’s founding premise, a single shared symbolic environment reaching everyone at once. If people no longer watch the same programmes on the same few channels, the theory’s basic assumption needs updating for today’s splintered media landscape.

The debate remains unresolved. As the Contemporary Research below shows, the effect has nonetheless persisted through this fragmentation, though critics still dispute whether it fairly describes a splintered audience.

Contemporary Research

Cultivation’s staying power rests on strong recent evidence. A 2021 meta-analysis is the anchor. Hermann, Morgan and Shanahan (2021) pooled 3,842 effect sizes from 406 independent samples spanning the entire history of cultivation research, from the 1970s to the streaming era.

Weighting by sample size and modelling factors like time period and world region, they found the cultivation relationship is real but small, on the order of r ≈ .10. The effect was also remarkably stable across five decades and the shift to a multichannel, digital media environment.

Critics predicted the effect would fade. It has not: the basic effect has shown continuity even as broadcast television gave way to cable, streaming and social media.

The pattern also extends beyond broadcast television. Williams (2006) tracked players of a multiplayer online game and found that heavy players overestimated real-world dangers common inside the game but not in everyday life.

Read together, this evidence supports a specific conclusion: cultivation is small but genuinely durable, neither the powerful cultural force Gerbner once described nor the artefact his critics claimed.

Frequently Asked Questions

What is the cultivation analysis?

Cultivation analysis (or cultivation theory) is a social theory that proposes that long-term exposure to television and media gradually “cultivates” viewers’ perceptions of reality.

Developed by George Gerbner, the theory suggests that the more time people spend watching television, the more likely they are to perceive the real world in ways that align with the most common and recurring messages and representations depicted on television, often leading to a misperception of reality.

What is cultivation theory in social media?

Cultivation theory in social media suggests that prolonged engagement with social media platforms can shape users’ perceptions of reality, similar to the effects of long-term television viewing.

Users’ views on societal norms, values, and expectations may be influenced by the most recurrent themes and portrayals on social media, potentially leading to distorted perceptions of reality or an altered sense of social norms and behaviors.

When you see something on tv, and you assume that it must be true, you have experienced what aspect of cultivation theory?

If you see something on TV and assume it to be true, you have experienced what is known as the “mainstreaming” aspect of cultivation theory.

Mainstreaming suggests that persistent exposure to televised media leads to a homogenization of perceptions, where viewers’ beliefs and values align with the most common and repetitive messages seen on TV, regardless of their real-world validity or accuracy.

Key Takeaways

  • Definition: Cultivation theory holds that heavy, long-term TV viewing gradually shapes how people see the real world.
  • Heavy vs Light: Researchers compare heavy viewers (about four or more hours a day) with light viewers (under two hours) to measure the size of the effect.
  • Mean World Syndrome: The theory’s best-known finding is that heavy viewers see the world as more dangerous and untrustworthy than it really is.
  • Mainstreaming & Resonance: Mainstreaming pulls diverse viewers toward a shared outlook, while resonance doubles the effect when TV content matches real life.
  • Modern Evidence: A 2021 meta-analysis of over 3,800 effect sizes found the effect is small but has persisted for five decades, even into the streaming era.
  • Ongoing Debate: Critics argue the correlational evidence could reflect confounds like neighbourhood crime, so the true size of the causal effect remains contested.

References

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Croucher, S. M. (2011). Social networking and cultural adaptation: A theoretical model. Journal of International and Intercultural Communication, 4 (4), 259-264.

Doob, A. N., & Macdonald, G. E. (1979). Television viewing and fear of victimization: Is the relationship causal? Journal of Personality and Social Psychology, 37 (2), 170-179.

Gerbner, G. (1998). Cultivation analysis: An overview. Mass Communication and Society, 1 (3-4), 175-194.

Gerbner, G. (1969). Toward “cultural indicators”: The analysis of mass mediated public message systems. AV Communication Review, 17 (2), 137-148.

Gerbner, G., & Gross, L. (1976). Living with television: The violence profile. Journal of Communication, 26 (2), 173-199.

Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1980). The “mainstreaming” of America: violence profile number 11. Journal of Communication, 30 (3), 10-29.

Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1986). Living with television: The dynamics of the cultivation process. Perspectives on Media Effects, 17-40.

Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1994). Growing up with television: The cultivation perspective. In J. Bryant & D. Zillmann (Eds.), Media effects: Advances in theory and research (pp. 17-41). Lawrence Erlbaum.

Griffin, E. (2012). A First Look at Communication Theory (8th ed.). New York: McGraw-Hill.

Gerbner, G., & Morgan, M. (2010). The Mean World Syndrome: Media Violence & the Cultivation of Fear. Media Education Foundation documentary transcript [http://www. mediaed. org/transcripts/Mean-World-Syndrome-Transcript. pdf, 19, 2020.

Hawkins, R. P., & Pingree, S. (1982). Television’s influence on constructions of social reality. In D. Pearl, L. Bouthilet, & J. Lazar (Eds.), Television and behavior: Ten years of scientific progress and implications for the eighties (Vol. 2, pp. 224-247). U.S. Government Printing Office.

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

Hirsch, P. M. (1980). The “scary world” of the nonviewer and other anomalies: A reanalysis of Gerbner et al.’s findings on cultivation analysis part I. Communication Research, 7 (4), 403-456.

Hirsch, P. M. (1981). On not learning from one’s own mistakes: A reanalysis of Gerbner et al.’s findings on cultivation analysis part II. Communication Research, 8 (1), 3-37.

Morgan, M., & Gerbner, G. (2002). Against the mainstream: The selected works of George Gerbner. P. Lang.

Morgan, M., & Shanahan, J. (2010). The state of cultivation. Journal of Broadcasting & Electronic Media, 54 (2), 337-355.

Newcomb, H. (1978). Assessing the violence profile studies of Gerbner and Gross: A humanistic critique and suggestion. Communication Research, 5 (3), 264-282.

Oredein, T., Evans, K., & Lewis, M. J. (2020). Violent trends in hip-hop entertainment journalism. Journal of Black studies, 51 (3), 228-250.

Potter, W. J. (2014). A critical analysis of cultivation theory. Journal of Communication, 64 (6), 1015-1036.

Riddle, K. (2010). Always on my mind: Exploring how frequent, recent, and vivid television portrayals are used in the formation of social reality judgments. Media Psychology, 13 (2), 155-179.

Schnauber, A., & Meltzer, C. E. (2016). On the distinction and interrelation between first- and second-order judgments in cultivation research. Communications, 41 (2), 189-206.

Settle, Q. (2018). Introducing Communication Theory: Analysis and Application. Journal of Applied Communications, 102 (3), 1d-1d.

Shrum, L. J. (2001). Processing strategy moderates the cultivation effect. Human Communication Research, 27 (1), 94-120.

West, R. & Turner, L. H. (2010). Introducing Communication Theory: Analysis and Application (Fourth ed.). New York, NY: McGraw-Hill.

West, Richard; Turner, Lynn (2014). Introducing Communication Theory: Analysis and Application. New York, NY: McGraw-Hill Education. pp. 420–436.

Williams, D. (2006). Virtual cultivation: Online worlds, offline perceptions. Journal of Communication, 56 (1), 69-87.

Further Information

Cultivation Analysis: an Overview

Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1986). Living with television: The dynamics of the cultivation process. Perspectives on Media Effects, 17-40.

Saul McLeod, PhD

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Chartered Psychologist (CPsychol)

Saul McLeod, PhD, is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.


Olivia Guy-Evans, MSc

BSc (Hons) Psychology, MSc Psychology of Education

Associate Editor for Simply Psychology

Olivia Guy-Evans is a writer and associate editor for Simply Psychology, where she contributes accessible content on psychological topics. She is also an autistic PhD student at the University of Birmingham, researching autistic camouflaging in higher education.

Ayesh Perera

Researcher

B.A, MTS, Harvard University

Ayesh Perera, a Harvard graduate, has worked as a researcher in psychology and neuroscience under Dr. Kevin Majeres at Harvard Medical School.