Course Overview: Dr. Zhang Lingcong, is invited as the main speaker of this course, uses his paper “Heroic Images and Community Imagination in Chinese Disaster Films Since the New Century” as an example to share his challenges and growth in this research. He shares how he overcame difficulties through methodological innovation and discusses his insights and using experience with DiVoMiner. During the interactive session, Dr. Zhang answered audience questions, inspiring research enthusiasm of all audiences. The lecture offered rich content and unique insights, providing a valuable academic exchange opportunity.

(1) Challenges and Growth in Academic Journey

Overview: Dr. Zhang discusses the challenges and growth in his research, emphasizing the importance of methodological innovation. He shares how digital humanities and computational film studies inspired his quantitative content research.

(2) Practice and Reflection on Content Analysis

Overview: Dr. Zhang explains the scientificity of content analysis, emphasized the importance of sample selection, data cleaning, and coding accuracy. He shares coding strategies, including pre and post coding, and using theoretical frameworks for guidance, ensuring systematic and scientific research. He also discusses coder training, consistency checks, and third-party audits to enhance objectivity, recommending DiVoMiner for coding and statistical analysis.

(3) Writing and Submission Journey

Overview: He shares valuable experiences in writing and submission, emphasizing adherence to submission formats and data accuracy. Dr. Zhang outlines five content analysis paths: descriptive analysis, differential analysis, regression analysis, paradigm fusion, and shared his own practical experience and plans on these paths.

(4) Audience Interaction/ Q&A

Overview: Topics including: what distinguishes content analysis from thematic analysis? How to find and handle film content samples? Recommendation on literature and books on content analysis, and suggested statistical tools.