Media, Discourse & Crime – Lecture Notes

Housekeeping / Course Logistics

  • Chat function problems: sign into Microsoft 365 first -> Moodle -> Teams; report back to tech support if still failing.
  • Slide error: Essay 1 due Wednesday 20August20\,\text{August}, 5 pm not June 13/20.
  • Lecture PDFs: majority prefer “2 big slides per page, no lined notes” – will implement.
  • Study group exists (contact via Facebook link in chat).
  • Quiz 1 closes today 5 pm; auto-release grades.

Understanding & Pace Check-ins

  • Mentimeter poll: most students in the middle ("some understanding"); key feedback = lecturer talks too fast.
  • Request for specific concepts needing clarification – use Menti during break.

Road-map of Today’s Lecture

  • Media, discourse & crime: critical understanding of media.
  • Key constructs: news frames; objectivity; media consolidation; discourse; racialisation of crime.
  • Two main themes when analysing portrayal of crime:
    1. What crime do we see?
    2. How media racialises crime.

Public Perception vs. Reality of Crime

  • Menti poll: class split ~50 : 50 on whether crime is increasing.
  • Nationally most Kiwis think crime is rising; long-term stats show gradual decline.
  • Peak crime 1992:1322 crimes per 10,0001992:1322\text{ crimes per }10,000; now < half.
  • Media portrayal = distorted image; counting crime already difficult (under-reporting, survey bias, coding).

Why Media Matters in Criminology

  • Public obtains majority of crime knowledge from news media.
  • Crime news shapes fear, opinion, policy, policing, law.
  • Reliance on limited sources (mainly police) → little scrutiny of CJS.
  • Quantity, content & sourcing create elevated fear → supports law-and-order politics.

Over-Representation & Content Bias

  • Crime saturates media for 500 + yrs; over-represented relative to statistics.
  • Violent/sensational events dominate (street crime of poor/powerless).
  • Structural causes (poverty, colonisation, policy) seldom discussed; focus on individual pathology.
  • Haven (1991) newspaper study: “random senseless violence” sells papers & aids govts keen to deflect from socio-economic policy harms.

Gatekeepers & News Values

  • Gatekeepers: editors, journalists, official spokespeople, algorithms, state censors – decide what enters public sphere.
  • News values frame crime so audience will endorse tough responses.

Core Concept – News Frame

  • A frame = sandbox holding the story; conveys:
    1. What is the issue/problem?
    2. Who/what is responsible?
    3. Proposed solution.
  • Example: Infant bitten by rats – Version 1 blames teen mother (individual); Version 2 blames social conditions & cutbacks (structural).

Example Analysis – Citizens’ Arrest Proposal

  • Clip of Justice Minister Paul Goldsmith.
    • Issue: retail crime escalation.
    • Responsibility: violent individual offenders.
    • Solution: expand citizens’ arrest, reasonable force.
  • One News framing added doubts (danger/vigilantism) yet kept same issue/responsibility → maintains fear narrative.

Right Realism vs. Penal Populism

  • Right realism = criminological theory: crime is rational choice; deter via harsher policing/sentencing.
  • Penal populism = political strategy using right-realist ideas to win votes (“tough on crime”).
  • Media frames supply emotional fuel → public support → political payoff.

Myths Identified by 2018 Report (Milne & Fisher for Safe & Effective Justice)

  1. Severe penalties deter crime.
  2. Offenders are incorrigible bad people.
  3. Victims rarely know attackers.
  4. Typical victim = young white middle-class woman.
  5. Violent crime is soaring.
  6. Prison muster high because crime high.
  7. Restorative/community justice is "soft".
  • Evidence: 60.6%60.6\% prison releases reconvicted within 2 yrs; NZ 2nd highest OECD incarceration yet no crime drop; community programmes outperform prison.

Media as Institution

  • Mass media: small group produces content → huge audience; needs resources & publicity.
  • Social media expands public sphere, enables counter-publics but can also fuel hate & is hard to regulate (free speech vs surveillance).
  • Consolidation: US dropped from 50650\to6 major owners (1983-2003); NZ print/radio/TV similarly concentrated; fewer viewpoints.

Marxist Political-Economy Perspective

  • Ownership, profit-drive & elite sourcing shape content.
  • Media makes ruling-class interests appear “common-sense” (manufactures consent).
  • Key term: Hegemony – indirect control via consent; ideas naturalised, physical force unnecessary.

Police–Media Symbiosis

  • Journalists rely on police press releases; police gain positive image → reinforces state definitions.
  • Case: NZ Police barred gang researcher Dr Gilbert from data; later apologised after media outcry → shows control attempts.

Discourse – Definition & Power

  • More than conversation: system of ideas/knowledge that constructs reality.
  • Media crucial in producing discourse on crime: “violent, rising, individual, needs police/prison”.

Racialisation of Crime in NZ Media

  • Mechanism = race-tagging (naming ethnicity for Māori/Pasifika offenders, rarely for Pākehā).
  • Coverage of Māori often only when crime/gangs/protest involved → embeds “criminal Māori” discourse.
  • Studies:
    • 1950s & 1990s surveys: ethnic labels used 3-4 × more for non-Pākehā.
    • Tuohy et al. (2020) Police Ten 7: Māori/Pasifika over-shown as violent suspects; Pākehā over-shown as harmless.
  • Political example: David Seymour tweet using “subhuman/uncivilised” dog-whistles – ethnicity implied, not named, yet audience fills gap.
  • Feedback loop: public more likely to report Māori; police allocate resources; more Māori arrests → reinforces stereotype.

Implications for Policy & Democracy

  • Distorted media → distorted public perception → votes for punitive policy → high imprisonment without reducing harm.
  • True democratic public sphere requires:
    • Contextual crime reporting (include why, not just what/how).
    • Diverse sources (academics, community, victims, offenders).
    • Proportionate coverage reflecting statistics.
    • Challenge myths & racial stereotypes.

Practical Reminders

  • Quiz 1 due today 17:00.
  • Essay 1 due Wednesday 20August,17:0020\,\text{August},17:00.
  • Provide feedback via Mentimeter on unclear concepts; lecturer will slow pace.