Course109106408124 lectures
Forensic Linguistics
Prof. Deepak Mashru · National Forensic Sciences Universtiy (INI)
Lectures
week-01
- Introdution to Week 1
- Evolution and concept of Linguistics
- Defining Linguistics and its branches
- The role of linguistics in understanding human communication
- Application of linguistic theories in various fields
- The Crucial Role of Linguistic Analysis in Legal Settings
- Impact of Forensic Linguistics and Case Studie
- Current Trends and Emerging Areas in Forensic Linguistics
week-02
- Introdution to Week 2 - The Confluence of Language and Law
- Exploring the Interplay Between Language and Law
- Analysis of Courtroom Discourse
- Impact of Linguistic Diversity on Legal Processes
- Interdisciplinary Nature of Forensic Linguistics
- Ethical Considerations in Forensic Linguistic Analysis
- Impact on Understanding Legal and Cultural Contexts
- Analysing Language as Vital Evidence in Legal Contexts
- Challenges in Presenting Linguistic Evidence in Court
week-03
- Introduction to Week 3
- Illuminating Authorship Analysis and Its Nuances
- Navigating Through Forensic Phonetics
- Discourse Analysis: A Journey through Linguistic Structures
- Exploring the Depths of Threat and Deception Analysis
- Unveiling the Secrets of Language Profiling
week-04
- Introduction to Week 4
- Investigating Real-World Case Studies in Forensic Linguistics
- Tackling the Challenges and Obstacles Within Forensic Linguistics
- Upholding Ethics and Professionalism in Forensic Linguistics
- Envisioning the Future: Prospective Pathways in Forensic Linguistics
week-05
- Linguistic Traces in Phishing, Cyberbullying and Hate Speech
- Stylometry and Online Anonymity
- Deepfakes, Synthetic Voice and Linguistic Integrity
- WhatsApp Chats and Online Grooming
- Algorithmic Spread and Linguistic Escalation
- Threat Language in Cyber Contexts
- Compliance Engineering in Online Fraud
- Ideological Framing in Digital Spaces
- Discourse Patterns in Sustained Harassment
- Digital Linguistic Evidence in Court
- Limits of Linguistic Inference Online
- Integrating Digital Linguistic Evidence
week-06
- Section 39 Bharatiya Sakshya Adhiniyam
- Language in FIRs and Charge Sheets
- Testimonial Language and Inconsistency
- Code Switching and Translation Challenges
- Linguistic Distortion in Criminal Trials
- Statement Transformation Across Stages
- Courtroom Narrative Construction
- Standards for Linguistic Testimony
- Bilingual Speech in Court
- Linguistic Evidence in Indian Trials
- Responsibility of Linguistic Experts
- Language and Justice Integration
week-07
- Linguistic Framing in Crime Reporting
- Language and Presumption in Media
- Linguistic Architecture of Misinformation
- Linguistic Verification in Media
- Ideological Construction in Reporting
- Repetition and Persuasion Techniques
- Platform Amplification of Language
- Institutional Fact-Checking Models
- High-Profile Media Analysis
- Boundaries in Crime Reporting
- Media Literacy through Forensic Tools
- Media and Linguistic Accountability
week-08
- Linguistic Forgery in Threat Notes
- Authorship in Wills and Legal Writings
- Stylometric Identification
- Typed vs Handwritten Language
- Masked Authorship Techniques
- Hidden Authorship Analysis
- Genuine vs Fabricated Texts
- Categorising Threat Language
- Presenting Authorship Findings
- Data-Driven Authorship Support
- Responsible Authorship Inference
- Authorship and Document Forensics
week-09
- Guilt and Deception in Interrogative Discourse
- Influence of Question Structure on Suspect Speech
- Language and Fabricated Admissions
- Psycholinguistics in Offender Profiling
- Linguistic Structure in Criminal Networks
- Linguistic Fragmentation in Trauma Narratives
- Pragmatics of Trauma Communication
- Misinterpretation of Non-Standard Speech
- Authority Influence in Recorded Statements
- Applied Linguistic Analysis in Criminal Trials
- Limits of Predictive Linguistic Models
- Integrating Psychology and Forensic Linguistics
week-10
- Designing and Annotating Forensic Corpora
- Keyword and Frequency Analysis
- Contextual Interpretation via Concordance
- Cross-Linguistic Data in Indian Legal Systems
- Corpus-Based Threat Classification
- Quantitative Models in Attribution
- Combining Corpus Data with Discourse Analysis
- Court Acceptance of Corpus Evidence
- Social Media and Big Data Constraints
- Applied Corpus Analysis in Authorship Disputes
- Privacy and Anonymisation in Corpus Work
- Corpus Linguistics in Justice Delivery
week-11
- Ethical Boundaries in FL Practice
- Courtroom Conduct and Accountability
- Social Bias in Linguistic Interpretation
- Consent and Digital Evidence
- Limits of Linguistic Profiling
- Analytical Objectivity in Investigation
- Method Disclosure in Court
- Professional Ethical Frameworks
- Language Surveillance and Rights
- Controversial Linguistic Testimony
- Automated Tools and Ethical Judgment
- Integrity in Forensic Linguistics
week-12
- Global Frameworks of Forensic Linguistics
- Institutionalising Forensic Linguistics in India
- Certification Ecosystems in Forensic Linguistics
- AI NLP and Future of Linguistic Surveillance
- Surveillance Ethics and Linguistic Monitoring
- Global Accountability Models
- Policy Integration and Digital Governance
- Institutional Frameworks for Forensic Linguistics
- Next Decade of Forensic Linguistics
- Global Collaboration in Forensic Linguistics
- Emerging Technologies Reshaping Forensic Linguistics
- Integrated Future of Forensic Linguistics
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- National Forensic Sciences Universtiy (INI)
- Department
- Humanities and Social Sciences
- Teacher
- Prof. Deepak Mashru
- Level
- Undergraduate
- Language
- English
- Subjects
- Society and politics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed
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