Curating Using Tweetdeck



Above is a screenshot photo of my first experience using TweetDeck.  I curated four columns: two “search” columns and two “lists” columns.  The two topics from class that I chose for the purpose of this blog were “Internet Privacy” and “The Cloud”.  For each of these two topics I curated a “lists” column – that is, a column in which you can isolate which users’ tweets will show up.  Then, for each topic, I curated a “search” column.  Search columns allow you to isolate a certain hashtag.  

I found both of these TweetDeck resources to be very helpful and useful, and way different than using a standard search engine.  They allow you to isolate whatever you want, to see only the information you want to see.  I know that when a tweet pops up in my search column of “#cloudcomputing” that tweet is most likely going to be relevant and contain information or opinion about cloud computing. Not only this, but all of the tweets that appear in that column are going to be new and contain new material.  When I search on Google for “cloud computing” all Google shows me are a bunch of older articles about what cloud computing is, the wikipedia article, and a small “news” section. The search column allows me to access newer information at real time. 

If you are interested in a subject and looking for more information on it but can’t seem to find any, I suggest using TweetDeck and its resources to help you along your way.





My Experience with Firefox Lightbeam

Screen Shot 2014-02-09 at 6.10.14 PM

My Lightbeam graph shows that in the 20 minutes I spent browsing the internet I went to 10 different websites.  From those 10 websites, 27 different websites collected my data and “followed” me.   I don’t find that this number is particularly large or surprising. For each website I visited an average of 2.7 random websites follow me. I am guessing that the reason for this is that I visited websites such as Facebook, Twitter, Google, and Pinterest, and those websites are more popular and probably already have data saved.
The most surprising find was when I visited Sephora’s website. From Sephora a website called followed me, and from THAT website 12 other websites followed.  That’s 12 websites that followed my data based off of another website that I’ve never gone to!

I think that this is really important information to be aware of, if you are an internet user. The majority of people probably don’t realize how the web is so interconnected and how what you do really isn’t private.  This is also important to know so that you understand how things such as viruses or trojan horses can potentially be introduced to your system.  To prevent this you should equip your device with some sort of virus protection software.

These websites follow you in order to make money off of you. They want to know what websites you frequent and what your interests are so that they can advertise specific things to you.  Other websites just want to collect and analyze data so that they can detect trends.

Lots of people have a problem with websites that follow you, and it’s easy to understand why. It can definitely feel like an invasion of privacy, and sometimes there are security issues that go along with it.  It’s important to be aware of the risks and possibilities, even when you’re doing something as simple and mundane as surfing the web.


Final Project Proposal

For our final project Marina Agostino and I will be looking further into the topic of Digital Etiquette.  We will be creating an interactive web-based application that will teach users some tips about digital etiquette and how to thrive online.

For more, please check out this video of our prezi presentation: