I'm looking to put together a photo story/diary for my final assignment. What tools would you recommend? Thanks! #mscedc
— Helen Walker (@helenwalker7) March 30, 2017
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@philip_downey #mscedc pic.twitter.com/qI6QtkHGhc
— Helen Walker (@helenwalker7) March 29, 2017
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There’s so much about our cyberculture represented in this one image:
The tattoos are brilliant: ‘It’s alive’, ‘Born dead’, ‘Living dead girl’.
She’s looking at him longingly; can cyborgs fall in love?
Why would a cyborg smoke?
Why wouldn’t a cyborg smoke?
What does the flame represent? The ‘spark of being‘? A symbol of humanity? A representation of the binary?
@Eli_App_D an assignment on kitchen technologies perhaps? Culinary cyberspaces? #mscedc
— Helen Walker (@helenwalker7) March 29, 2017
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It’s interesting to think that this course has, itself, become another digital strand which is woven into the complexity of the quotidien. I appreciate how the digital media we use offers us slivers of insights into others’ lives. Seeing James’ son in the background of a weekly video introduction, watching Daniel drum in his room, and hearing about Eli’s new kitchen on Twitter: these glimpses into the ‘real’ help, I think, to develop our community of inquiry.
“We’re trying to create our own love story between people and content,” https://t.co/CB4BYN5RUV #mscedc
— Helen Walker (@helenwalker7) March 29, 2017
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“Some of that data is junk, some of it is gold and we figure out how to leverage that data to put the right content in front of the right people at the right time.”
Yes. Well done Netflix.
Testing whether algorithms contain hidden biases: https://t.co/xqq7tWPxi8 #mscedc
— Helen Walker (@helenwalker7) March 29, 2017
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Interesting research on how algorithmic bias might be countered.
“An algorithm has experiences, just as a person comes into life and has experiences.” http://spectrum.ieee.org/tech-talk/computing/software/computer-scientists-find-bias-in-algorithms
@Eli_App_D yes…Just as well I'm not doing anything like moving house on Friday…oh. #mscedc
— Helen Walker (@helenwalker7) March 29, 2017
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@nigelchpainting @Eli_App_D @notwithabrush @fleurhills Happy to be of service. #mscedc
— Helen Walker (@helenwalker7) March 27, 2017
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@Eli_App_D @notwithabrush @fleurhills Thanks Eli! How are your ideas coming along? I'm still not quite sure what to focus on. #mscedc
— Helen Walker (@helenwalker7) March 27, 2017
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Where I am….
From Garrison, 2007: full paper here
@Eli_App_D @notwithabrush @fleurhills Brilliant! Thank you. Where is the 2000 mentioned? #mscedc
— Helen Walker (@helenwalker7) March 27, 2017
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“Twitter’s just-in-time design allowed students and instructors to engage in sharing, collaboration, brainstorming, problem-solving, and creating. Participants noted that using Twitter for socializing and learning purposes felt more “natural and immediate” than did using a formal learning management system.” (Dunlap & Lowenthal, n.d.) from https://onlinelearninginsights.wordpress.com/tag/community-of-inquiry-model/
@fleurhills @learntechstu @lemurph I third this. A brilliant demonstration that the process of analysis is key, not the data. #mscedc
— Helen Walker (@helenwalker7) March 26, 2017
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If Knox’s blog highlights that the notion of algorithmic objectivity is what Gillepsie calls ‘a carefully crafted fiction’, Helen’s work demonstrates how we can use algorithmic outcomes to tell very different tales: https://padlet.com/lemurph/analytics.
Gillespie, T. 2012. The Relevance of Algorithms. in Media Technologies, ed. Tarleton Gillespie, Pablo Boczkowski, and Kirsten Foot. Cambridge, MA: MIT Press.