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Academic Writing Conventions
Table of Contents
- Academic Tone and Voice
- Sentence and Paragraph Construction
- Argumentation and Logic
- Common Errors to Avoid
- Discipline-Specific Conventions
1. Academic Tone and Voice
Formality Levels
High Formality (STEM, Law, Medicine):
- Avoid contractions (use "cannot" not "can't")
- Minimize personal pronouns
- Use passive voice strategically
- Employ technical terminology precisely
Moderate Formality (Social Sciences, Humanities):
- Personal pronouns acceptable in methodology
- Active voice preferred for clarity
- Balance between accessibility and precision
Objectivity
Maintain neutrality:
- Present multiple perspectives
- Acknowledge counterarguments
- Use hedging language: "suggests," "appears," "may indicate"
- Avoid absolute statements: "proves," "always," "never"
Hedge appropriately:
- Strong evidence: "demonstrates," "shows," "indicates"
- Moderate evidence: "suggests," "implies," "may reflect"
- Weak evidence: "might," "could," "appears to"
Precision
Be specific:
- ❌ "Many studies show..."
- ✅ "A meta-analysis of 47 studies [1] demonstrates..."
Use technical terms correctly:
- Define specialized terms on first use
- Maintain consistency in terminology
- Use standard abbreviations
2. Sentence and Paragraph Construction
Sentence Structure
Clarity principles:
- One main idea per sentence
- Subject-verb proximity
- Active voice for clarity (when appropriate)
- Vary sentence length for readability
Examples:
❌ Weak: "It was found by the researchers that the algorithm performed better." ✅ Strong: "The algorithm demonstrated superior performance [1]."
❌ Weak: "There are many factors that contribute to climate change." ✅ Strong: "Multiple factors contribute to climate change, including greenhouse gas emissions, deforestation, and industrial activity [2]."
Paragraph Structure
Standard academic paragraph:
- Topic sentence: Introduces main idea
- Evidence: Supporting data, citations, examples
- Analysis: Interpretation and explanation
- Link: Connection to thesis or transition to next point
Example:
"Machine learning algorithms have transformed medical diagnostics [Topic]. Recent studies demonstrate that deep learning models achieve diagnostic accuracy comparable to expert physicians in radiology [1], dermatology [2], and pathology [3] [Evidence]. This performance stems from the algorithms' ability to recognize complex patterns in large datasets that may elude human observation [Analysis]. These advances suggest a paradigm shift in clinical decision-making processes [Link]."
Transitions
Between paragraphs:
- However, Moreover, Furthermore
- In contrast, Similarly, Conversely
- Consequently, Therefore, Thus
- First, Second, Finally
Within paragraphs:
- Additionally, Also, Furthermore
- For example, For instance, Specifically
- In other words, That is to say
- Nevertheless, Nonetheless, Still
3. Argumentation and Logic
Thesis Development
Strong thesis characteristics:
- Specific and focused
- Arguable (not self-evident)
- Supported by evidence
- Addresses "so what?" question
Examples:
❌ Weak: "Social media affects society." ✅ Strong: "Social media platforms' algorithmic curation of content contributes to political polarization by creating echo chambers that reinforce existing beliefs and limit exposure to diverse viewpoints."
Evidence Integration
Citation placement:
Author-prominent: "Smith et al. [1] argue that quantum computing will revolutionize cryptography."
Information-prominent: "Quantum computing threatens current cryptographic methods [1], [2]."
Synthesis of multiple sources: "While some researchers emphasize the benefits of AI in education [1], [3], others highlight potential risks [2], [4]."
Logical Fallacies to Avoid
- Hasty generalization: Drawing broad conclusions from limited evidence
- False causation: Assuming correlation implies causation
- Appeal to authority: Relying solely on credentials without evidence
- Straw man: Misrepresenting opposing arguments
- Cherry picking: Selecting only supporting evidence
4. Common Errors to Avoid
Wordiness
❌ "Due to the fact that" ✅ "Because"
❌ "In order to" ✅ "To"
❌ "It is important to note that" ✅ Delete (unnecessary)
Redundancy
❌ "Past history," "future plans," "advance warning" ✅ "History," "plans," "warning"
Vague Language
❌ "Things," "stuff," "a lot," "very" ✅ Specific nouns and precise quantifiers
Inappropriate Register
❌ "The data is super interesting and shows..." ✅ "The data reveals significant patterns..."
Anthropomorphism
❌ "The study wants to prove..." ✅ "This study aims to demonstrate..."
❌ "The paper believes that..." ✅ "This paper argues that..."
5. Discipline-Specific Conventions
STEM Fields
Characteristics:
- Emphasis on methodology and reproducibility
- Extensive use of figures, tables, equations
- Passive voice acceptable in methods sections
- Present tense for established facts, past tense for specific studies
Example: "Samples were collected from five sites (Methods). Figure 1 shows the temperature distribution (Results). These findings indicate that thermal gradients affect reaction rates (Discussion)."
Social Sciences
Characteristics:
- Theoretical frameworks prominently discussed
- Qualitative and quantitative methods
- First-person acceptable in reflective methodology
- Past tense for research conducted, present for ongoing debate
Example: "Previous research suggests that socioeconomic factors influence educational outcomes [1]. We conducted semi-structured interviews with 30 participants to explore this relationship."
Humanities
Characteristics:
- Emphasis on interpretation and analysis
- Extensive engagement with primary texts
- Present tense for discussing texts/artworks
- More flexible citation practices (footnotes common)
Example: "In Pride and Prejudice, Austen critiques the marriage market of Regency England. Elizabeth Bennet's refusal of Mr. Collins represents a radical assertion of female autonomy."
Engineering
Characteristics:
- Focus on problem-solving and implementation
- Detailed technical specifications
- Extensive use of diagrams and schematics
- Clear delineation of requirements and results
Example: "The proposed architecture achieves 95% accuracy with 40% lower computational complexity than existing methods [1]. Figure 2 illustrates the system design."
Best Practices Summary
- Clarity over complexity: Simple, direct language conveys ideas more effectively
- Evidence-based claims: Support all assertions with citations
- Logical structure: Organize ideas hierarchically and sequentially
- Consistent terminology: Use terms uniformly throughout
- Appropriate tone: Match formality to discipline and audience
- Active engagement: Show critical thinking, not just summary
- Revision: Multiple drafts improve quality significantly
Self-Review Checklist
- Each paragraph has clear topic sentence
- Claims supported by evidence
- Transitions between ideas smooth
- Tone formal and objective
- Technical terms defined
- No logical fallacies
- Sentence variety maintained
- Citations integrated smoothly
- Discipline conventions followed
- "So what?" question answered