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 # ethnograph-view
-# ethnograph-view
+Digital ethnography is the practice of observing and analysing people’s interactions in online environments — such as forums, social media groups, and game communities — to understand their culture and behaviour. This project aims to develop a user-friendly, browser-based tool that supports this process for students, social scientists, and journalists.
+
+## Goals for this project
+- Collect data ethically: enable users to link/upload text, images, and interaction data (messages etc) from specified online communities. Potentially and automated method for importing (using APIs or scraping techniques) could be included as well.
+- Organise content: Store gathered material in a structured database with tagging for themes, dates, and sources.
+Analyse patterns: Use natural language processing (NLP) to detect frequent keywords, sentiment, and interaction networks.
+- Visualise insights: Present findings as charts, timelines, and network diagrams to reveal how conversations and topics evolve.
+- Have clearly stated and explained ethical and privacy guidelines for users. The student will design the architecture, implement data pipelines, integrate basic NLP models, and create an interactive dashboard. 
+
+Beyond programming, the project involves applying ethical research principles, handling data responsibly, and designing for non-technical users. By the end, the project will demonstrate how computer science can bridge technology and social research — turning raw online interactions into meaningful cultural insights.
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