| Week 1 |
| Intro to course (Live lecture) |
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| Intro to OSM |
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| Incidents |
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| Tutorial 1 Part 1 - Ubuntu |
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| Tutorial 1 Part 2 - Python |
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| Tutorial 1 Part 3 - Git |
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| Week 2 |
| OSM APIs and tools for data collection |
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| Trust and credebility on OSM |
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| Tutorial 2 Reddit API |
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| Week 3 |
| Misinformation on Social Media |
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| Privacy and Social Media |
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| Tutorial 3 Part 1 - Twitter API |
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| Tutorial 3 Part 2 - MySQL |
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| Tutorial 3 Part 3 - MongoDB |
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| Week 4 |
| Privacy and Pictures on Online Social Media |
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| Tutorial 4 Part 1 - Python essentials - numpy |
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| Tutorial 4 Part 2 - Python essentials - pandas, matplotlib |
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| Week 5 |
| Policing and Social Media - Part 1 |
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| Policing and Social Media - Part 2 |
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| Policing and Social Media - Part 3 |
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| Week 6 |
| eCrime on Online Social Media - Part 1 |
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| eCrime on Online Social Media - Part 2 |
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| Tutorial 5 - Social Network analysis (closeness, betweenness) |
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| Week 7 |
| Link Farming in Online Social Media |
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| Nudges |
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| Semantic Attacks: Spear Phishing |
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| Tutorial 6 - Analyzing text using Python NLTK |
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| Week 8 |
| Profile Linking on Online Social Media |
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| Anonymous Networks |
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| Tutorial 7 - Gephi Network Visualization |
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| Week 9 |
| Privacy in Location Based Social Networks (Part 1) |
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| Privacy in Location Based Social Networks (Part 2) |
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| Tutorial 8: Visualisation highcharts |
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| Week 10 |
| Beware of What You Share Inferring Home Location in Social Networks |
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| On the dynamics of username change behavior on Twitter |
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| Boston Marathon Analyzing Fake Content on Twitter |
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