Articles Flashcards
“Three gaps in computational text analysis methods for social sciences: A research agenda”
Highlights three critical area where computational text analysis methods fall short for social science research.
Key: tech prioritisation over validity: CTAM now: prioritises advancements over validity.
More sopthisicated tools, not aligned with theoretical and empirical needs of social science research - issues in measuring social phenomena.
Mismatch in content focus: gap between what CTAM designed to do and what social science need.
CTAM focus on extracting content or identifying document level patterns - social scientists require analysis of multiple, complex contents.
CTAM cannot fully capture nuance and nature
Language dominance and inclusivity: english language in CTAM hampers research and inclusivity. Other languages: challenges due to lack of robust rolls for multilingual analysis. bias restricts generalisability of findings
How to address these: research agenda focusing on enhancing the validity, utility and inclusiveness of CTAM. Developing methods better integrating social science theory with computational techniques. Handle complex content and higher support for multiple language
