Chapter 11 Notes – Credibility & Evidence

Introduction
  • Chapter focuses on the interdependence of (1) you as a speaker, (2) your ideas, and (3) evidence you borrow from others.
  • Main through-line: The degree of trust audiences place in your points is a product of BOTH personal credibility and quality of support.
  • Real-world vignette: Arnold Schwarzenegger’s March 17 2022 video to Russian soldiers illustrates strategic use of ethos (friendship to Russians, personal stories) + strong evidence (stats, examples) to raise worldwide awareness of the Ukraine invasion.
Learning Outcomes (p. 249)
  • Explain why source credibility matters.
  • Apply the four credibility dimensions to shape audience perceptions.
  • Build a research strategy for powerful support.
  • Recognise and employ eight kinds of supporting material.
  • Demonstrate correct attribution (spoken + written).
  • Follow ethical guidelines when presenting evidence.
Defining & Valuing Source Credibility
  • You are the primary “resource” that convinces or alienates listeners.
  • Source credibility = audience’s perception of your qualifications, honesty, and goodwill.
  • NOT a possessed trait; it is granted by listeners, context-dependent, and can fluctuate pre-, during-, and post-speech.
  • Six self-diagnostic questions for subtle credibility cues:
    • Motives? • Qualifications? • Verification of info? • Audience benefit? • Reason for chosen structure? • Omitted content/bias?
  • Beginning speakers may have little expertise but can project sincerity & goodwill.
Four Dimensions of Credibility
  • Competence: Seen as skilled, informed, authoritative.
    • Improve by minimal note reliance, translating complex ideas, mastering tech, polished delivery.
    • Credibility killers (John Bowe): reading slides, announcing Google searches, fillers (“uh”), jargon, hedging words.
  • Trustworthiness: Honest, fair, friendly.
    • Show balanced info, cite reliable sources, maintain eye contact, confident tone.
    • Study: Lower male pitch tends to raise perceived trust; effect weaker for females.
  • Dynamism: Bold, energetic, emphatic delivery.
    • Conveyed via vocal variety, purposeful movement, facial expression, gestures.
    • Example: Oprah Winfrey, Magic Johnson.
  • Common Ground: Shared understanding or experience (past, present, future).
    • Build by connecting topic–audience–self triangle (Fig 11.1). • Mary Sue Coleman speech to budding scientists—future shared identity.
Tactics to Boost Credibility
  • Sleeper Effect: Over time, message & source separate; low-credibility messages can gain influence if argument is strong, so craft clear logic.
  • Self-Disclosure: Appropriate personal sharing raises connection; over-sharing feels unprofessional.
  • Perceived Age: Dress professionally if youthfulness undercuts expertise.
  • Two-Sided Presentation: Address opposing views to avoid bias perception.
  • Language Tone: Highly emotive partisan wording can erode credibility.
  • Power Types: Use referent (rapport) + expert power (knowledge) for higher competence/trust.
  • Delivery Cues: Fluency, gestures, moderate pace.
  • Evidence Interaction: Credibility when (Evidence)(Topic Importance)(Perceived Competence)\text{Credibility}\uparrow \text{ when } (\text{Evidence}\uparrow) \land (\text{Topic Importance}\uparrow) \land (\text{Perceived Competence}\uparrow) (Reinard & Myers).
  • COVID-19 research: Experts viewed as higher in expertise, not necessarily more trustworthy; citizens’ narratives valuable for trust.
Recognising (Dis)Information
  • Disinformation = intentional distortion; Misinformation = unintentional inaccuracy.
  • Wardle’s spectrum (Fig 11.2): Satire → Misleading → Imposter → Manipulated → Fabricated.
  • IMVAIN Test (Stony Brook): Independent, Multiple, Verify, Authoritative/Informed, Named.
Principles for Effective Research
  1. Refine Topic: Specific thesis prevents info overload.
  2. Iterative Process: Research-write-research cycle.
  3. Source Variety: Personal, interviews, journals, books, reputable web, etc.
  4. Evaluate: Apply IMVAIN + extra criteria—clarity, relevance, currency.
  5. Heuristics Caveat: Reputation, endorsements, consistency, expectancy violation, persuasive intent, aesthetic appeal—use as quick filters, not final judgment.
Locating Information
  • Personal Experience: Ask if typical, relevant, comfortable to share, ethical to disclose.
  • Interviews: Be upfront, prep questions, respect time, note‐take/record with permission, cite orally.
  • Library: Start at reference desk; know source types (Table 11.3) – academic journals, trade mags, gov docs, etc. Use multiple databases (Academic Search Premier, Lexis-Nexis, MEDLINE, Opposing Viewpoints).
  • Internet Strategy:
    • Use multiple portals (Google Scholar, YouTube, TED, Visually).
    • Boolean & advanced search operators: "exact phrase", OR, AND, –exclude, wildcard * (Table 11.4).
    • Judge by server extensions (.gov, .edu, .com, etc.) (Fig 11.3).
Eight Types of Supporting Material
  1. Examples – hypothetical vs. factual; brief vs. extended. Must be plausible & typical.
  2. Narratives – human stories that (a) reveal missing pieces, (b) evoke emotion, (c) inspire new possibilities. E.g., Brené Brown.
  3. Surveys – public-opinion data; vet reliability, sample size, representativeness, motive.
  4. Testimony – lay, expert, celebrity; watch for biases & paid endorsements.
  5. Numbers & Statistics – simplify, round, compare, pair with visuals (pie/line/bar), e.g. >!300,000 grads ~ size of Lancaster.
  6. Analogies – compare dissimilar items for clarity; not proof on their own.
  7. Explanations – step-by-step clarification combining multiple supports (e.g., Sanjay Gupta medical demos).
  8. Definitions – convey meaning via description; avoid jargon (e.g., “subcutaneous hematoma = bruise under skin”).
Mixing Support Wisely
  • Balance forms; align with topic emotion vs. controversy; pair supports (stat + explanation); avoid over-reliance on one type.
  • Visual identification of sources (photo + title) increases perceived source & speaker credibility.
Citation Mechanics
  • Bibliographic References: Full citations in outline refs/works cited.
  • Internal References: Parenthetical or footnote inside outline showing source-to-content link.
  • Verbal Citations: In speech give (who + qualification + recency). See Table 11.5.
  • Cite webpage creators/orgs, not bare URLs (unless audience needs link).
Ethics in Credibility & Evidence
  • Honest objectives; ends must not justify unethical means.
  • Avoid deception, scare tactics, selective omission.
  • Respect impact on listeners; present full picture.
  • Plagiarism: Using another’s words/ideas without credit. Incremental plagiarism = failing to signal extent of quoting/paraphrasing.
  • AI Generated Content: If AI output forms part of speech, verify facts, rewrite in own style, and cite prompt usage per instructor/style guide.
  • Cultural Credibility Tips (AMA): Recognise biases, self-regulate, build common ground, observe & adapt, show empathy, flexibility, curiosity.
Developing Expertise (Beyond Classroom Credibility)
  • Expertise requires thousands of hours + deliberate practice + immediate feedback + continual goal setting.
  • Self-awareness and calibrated improvement distinguish true experts.
Chapter Take-Aways (condensed)
  • Credibility stems from competence, trustworthiness, dynamism, common ground.
  • Strong arguments + quality evidence amplify ethos.
  • Research is iterative; use varied, high-quality, verified sources; guard against mis/disinformation.
  • Eight support types each serve unique rhetorical functions—blend strategically.
  • Cite everything orally & in writing; ethics demand honesty, accuracy, respect for sources & audience.
  • Continual skill/knowledge development turns classroom credibility into professional expertise.
Useful Formulae & Notation
  • Credibility–Evidence Interaction (Reinard & Myers): Ethosperceivedf(Evidence,Topic Importance,Speaker Competence)\text{Ethos}_{\text{perceived}} \propto f(\text{Evidence},\,\text{Topic Importance},\,\text{Speaker Competence})
  • Margin of Error concept (surveys): MoE=z×p(1p)nMoE = z\times \sqrt{\dfrac{p(1-p)}{n}} (not in text but implied basis for sample-size discussion).