{"id":161,"date":"2021-11-01T20:46:51","date_gmt":"2021-11-02T03:46:51","guid":{"rendered":"https:\/\/blogs.ubc.ca\/reoliver\/?p=161"},"modified":"2021-11-06T12:15:37","modified_gmt":"2021-11-06T19:15:37","slug":"task-9-data-analysis","status":"publish","type":"post","link":"https:\/\/blogs.ubc.ca\/reoliver\/2021\/11\/01\/task-9-data-analysis\/","title":{"rendered":"Task #9 – Data Analysis"},"content":{"rendered":"

Here are some of the ways I looked at and organized the data on my first evening with it.<\/p>\n

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I liked seeing us broken into groups of like-minded people.\u00a0 This data sort made me think about how a social network platform might group us to sell our data to different marketers.<\/p>\n

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This particular visual is my favourite for looking at the actual choices and is visually more appealing than a simple bar graph or list, in that you can see the individual choices as well.\u00a0 It is a surprising amount of data in one image.<\/p>\n

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I used this list above, with a highlighter on a paper copy, to track the top the picks and who most consistently picked what the ‘group’ chose.\u00a0 In this way, I see that Elizabeth Hanford and Megan Ravenhill might be the best “social influencers” in our class, as they connected with the most people – in terms of strengths of their interests.<\/p>\n

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I have enjoyed this week’s task, in that I could dive into the networked web of data that was produced and see how the commonalities created “weight” for our selections and that these could be interpreted as trends.\u00a0 I can easily understand how my own personal data is collected and sold to advertisers and I better understand the power of ‘social influencers<\/a>‘ in our society.\u00a0 Along this note, I have become more frustrated with advertising and located some other articles to read.<\/p>\n

Niu et al. discuss the invasiveness of social media advertising (SMA) and note that, “Individuals engage in social media mainly to support their social interactions with others, but the appearance of SMA interrupts those goal-directed behaviors” (p. 4).\u00a0 The annoyance felt by the consumer can alter their perceptions of the products advertised, even though they may be the perfect audience and would normally have bought the products or services.\u00a0 This is where I sit most of the time and increasingly turn away from social media in my frustrated mindset.\u00a0 I wonder where the pendulum will swing next?\u00a0 Perhaps a renewed interest in paying for a platform or game to avoid the ads?\u00a0 Will Facebook change an annual fee for ad-free use?<\/p>\n

Reference<\/span><\/p>\n

Niu, X., Wang, X., & Liu, Z. (01\/01\/2021).\u00a0When I feel invaded, I will avoid it: The effect of advertising invasiveness on consumers\u2019 avoidance of social media advertising<\/i>\u00a0Elsevier. doi:10.1016\/j.jretconser.2020.102320<\/p>\n","protected":false},"excerpt":{"rendered":"

Here are some of the ways I looked at and organized the data on my first evening with it. I liked seeing us broken into groups of like-minded people.\u00a0 This data sort made me think about how a social network platform might group us to sell our data to different marketers. This particular visual is … <\/p>\n

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