Tag Archives: algorithm

Comments on PJ’s Quill Connect

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I found the algorithmically-generated Quill Connect summary report of my history in the “Twitterverse” to be informative and insightful about the sheer power of algorithms, their relevance and some of the cautions. In terms of the power of algorithms and ‘big data,’ I would never have been able to examine the 6,104 tweets from myself and my recent followers that Quill Connect claims to have examined. In his forthcoming paper “The Relevance of Algorithms,” Tarleton Gillespie suggests that the key logic governing the flows of information generated by algorithms produce the “power to enable and assign meaningfulness” (Langlois 2012). This Quill Connect summary certainly provided me with some ‘food for thought’ to consider about my influence or lack thereof, and how I might interface more effectively with Twitter in the future. The capability of the algorithm to synthesize my personal data also validated Gillespie’s characterization of them to be “manna from heaven” for researchers.

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I was very reticent to join the “Twitterverse” until three years ago in 2012 when I finally realized that something profound was happening with social media, and that I had better
get ‘on-board.’ I ‘lurked’ the Coursera E-Learning MOOC and was so intrigued that I applied to the Edinburgh MScDE Programme. My engagement as a ‘digital learner’ and confidence level with social media continues to grow, but I still remain relatively cautious and conservative about my online presence and exposure because I have genuine concerns about security and privacy.

Gillespie discusses the emergence of the algorithm as “a trusted information tool” and the inherent “fundamental vulnerability” and lack of transparency that are engendered by “a new knowledge logic.” So, while my own Quill Connect report gives me some comfort that I now have a viable online history, presence and that people are interested in what I tweet, there remains a lingering skepticism of putting faith in unseen algorithmic machines that may be susceptible to human error, bias or manipulation.

I tweet ‘right at average’ for my collection of followers at 2 per week. Quill Connect indicates that I have 42 followers, which is fewer than average, landing me in the 42nd percentile of Twitter users measured by followers. This modest following does not bother me at this stage of development because I am not particularly concerned about my ‘influence’ beyond the ‘safe’ environment of my online learning community. I am concerned, however, that I have attracted other followers outside that community that I do not know.

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I have been inspired by this EDC course to be more active online, and as a result, my recent Twitter activity has picked up. This week, I sent out 19 tweets this week, eight more than last week and above my weekly average. It is curious that my most popular tweet was about the issue of time management and MOOCs shared with EDC peer Ben. For me, this tweet was just a routine
information-sharing exchange, but it seems that this theme resonated with some of my followers.

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The most popular tweet from recent followers was very curious indicating my affiliation with Vedic Sage. I believe that I attracted Vedic Sage as a follower because of previous online digital learning coursework that I had done on meditation; for example, online postings of ethnographic observation activities at the Buddhist Centre in Second Life.

It is accurate that my Tweets are most focused on Education, Business, Technology, and Politics. I always try to be positive in tone. While this report indicates that the sentiment of my Tweets “don’t skew positive or negative,” ….it also points out: “your followers skew more positive than you overall.” This commentary may cause me to reflect more in the future about how I craft Tweets, and to be more circumspect about the subtleties of tone and sentiment.

I am not overly concerned with increasing my “Twitter reach.” So I am unlikely, at this juncture anyway, to deliberately try to increase my reach is to repeating myself. However, I may heed the advice to follow people in my areas of interest, and/or people who follow the people that I follow.

Living in an Age of Algorithmic Culture

This is an hour long video recommended by EDC peer Nick. The introduction is somewhat tiresome about a colleague who didn’t show, but there is value in the two talks contrasting online and natural world impacts of algorithms on our lives. It is worth a watch in bite-size doses. I found it to be a good anchor for exploring some of the algorithmic themes that I will explore this week:
– “algorithms are invisible”
– “algorithm reveals itself in ‘rupture'”
– social reality is being determined by algorithms
– our online social influence; we are being judged, measured, “made valuable” through algorithms
– “intelligent curation”
– humans as “trusted filters”

more to follow…