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Resources 2017
Amanda Hickman edited this page Oct 6, 2017
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When we assembled our Year End Zine, these resources seemed especially relevant.
Data and society: Media, Technology and Society
The Atlantic: How the Like Button Ruined the Internet
Viktor Mayer-Schönberger: Delete: The Virtue of Forgetting in the Digital Age
- https://github.com/lamthuyvo/social-media-data-scripts
- Mining the Social Web (O’Reilly)
- The Digital Methods Initiative (University of Amsterdam): https://wiki.digitalmethods.net/Dmi/ToolDatabase
- TrackerTracker - to extract widgets, analytics and more general trackers embedded in sites https://wiki.digitalmethods.net/Dmi/ToolTrackerTracker
- Netvizz - facebook data extraction tool for groups, pages and search:
- TCAT - tool to collect and analyze Twitter data: https://wiki.digitalmethods.net/Dmi/ToolDmiTcat Issue Crawler and Hyphe - for hyperlink analysis to see relations between websites based on how they link amongst each other: https://wiki.digitalmethods.net/Dmi/ToolIssueCrawler , http://hyphe.medialab.sciences-po.fr/
These are books, articles, and other readings that stood out to me as I worked and wrote.
- Personal Narrative and the Life Story, Dan P. McAdams, chapter from Handbook of Personality: Theory and Research (2008). Dan McAdams has written extensively on the relation between out ability to tell our own life stories and our sense of satisfaction with our own lives. See also, Life story coherence and its relation to psychological well-being.
- Family Snaps: the Meaning of Domestic Photography, edited by Patricia Holland and Jo Spence. This provocative collection of essays digs into family photographic history through the framework of "memory work." They show the layers of memory, intensity of experience, and variety of perspective contained within.
- Narrating the Self, Elinor Ochs and Lisa Capps. Annual Review of Anthropology (1996). Anthropologists Ochs and Capps lucidly compile examples from research and literature to show the ways that people make use of narrative to create and understand "self."
- Instagram and Contemporary Image, by Lev Manovich. In this book, a media theory professor analyzes the kinds of images people take and share on Instagram.
- Tracery, a straightforward and friendly tool for text generation by Kate Compton. Super easy to use for prototyping small conversational interactions.
- img2txt trained models. Frustratingly, while Google frequently releases their machine learning models as open source projects, they almost never release the trained weights with them. This restricts access to users who have extremely high performance computer clusters, and/or plenty of time for training their own models. Thankfully, you can usually look at the Github issues page for these projects and find someone that was willing to share their own training results.
Dear Elon–Forget Killer Robots. Here’s What You Should Really Worry About, FastCo August 25, 2017 – Caroline Sinders bundled some of her favorite suggestions on AI and ethics into a syllabus masquerading as letter to Elon Musk.