Hybrid Assignment 04

Because of the power of advertising dollars, particularly those spent on targeted advertising, the Internet’s cultural landscape is not as diverse as many hoped it to be. The types of content we see on the Internet are based on our online activities, basically on our every click. Advertisers buy our information from the websites and search engines we visit, the social media network we participate in, the products we buy and/or review, the movies and videos we watch, the music we listen to, and the books, articles, stories, and news that we read and share. Advertisers invest their money on websites that are visited by a large number of audience, making sure that their messages will be read, watched, and/or heard, and eventually resulting to the audience buying their products or services. This is why it is very important for websites to produce content that are most likely to catch the audiences’ attention and clicks.

 

One type of online advertising is called “native advertising” in which advertisements are designed and created in a similar format, style, and tone as that of the articles on the website they are being featured on. Even the titles of the ads do not seem like they are advertisements. They actually blend in with the articles on the website, making it more likely for the users to click on them.

 

As we click on the content, our personal data/information is collected, shared, and sold. Additionally, we are labeled and profiled based on the information they have gathered, as well as their analysis of our online activities and interactions such as our likes on social media sites, our comments on articles or forums, the keywords we search, just to name a few. And it does not stop there. We are not only labeled and profiled, but we are also, as Taylor stated, “being sorted into ‘reputation silos’ that can be surprisingly difficult to get out of” (p. 190). This does not just affect the content and the advertisements that we see (and how they differ from our friends and other audience based on the profiles they generated for us) but in other aspects of our lives such as economically/financially (e.g. for loans or mortgage application) as well.

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