Toward latter, i calculated the typical number of serp’s for every meme family unit members when you look at the Google!

Building new decide to try

Our very own test is based on fifty categories of preferred memes, many of which incorporated an establishing meme such as and you may 20 more items (for example, the original “Charlie Bit My personal Hand” films and you can 20 imitations/remixes associated with video). Ideally, an entire attempt carry out were 1050 meme era (50 family X 21 hours), although not, because some meme household did not have an opening meme instance (elizabeth.g. „Facepalm,“ „Lolcats“), the final shot consisted of 1013 equipment to own studies. Distinguishing the most popular meme household is probably an impossible task considering the active nature from memes plus the various methods for researching the prominence (take a look at counts, likes/votes, level of derivations, quantity of mentions browsing overall performance, etc); not, i strongly recommend here an organized processes to recognize very popular meme parents centered on a variety of academic and you may net-situated supplies.

Very first, with the aid of the brand new KnowYourMeme databases (look for along with Phillips, 2012 ; Shifman, 2013 an effective, 2013 b), i built a list of 1168 accepted meme household. So you can filter the fresh new fifty hottest of these, we triangulated listings of all of the common memes searching inside the educational paperwork (Bauckhage, 2011 ; Knobel & Lankshear, 2007 ; Shifman, 2012 , 2013 b) with the online search engine dominance. and you may Bing (on authenticity and you may precision in the means look for and ).

Whenever an effective meme had multiple you’ll titles, eg “Charlie Bit Me” and you will “Charlie Portion My personal Digit – Once again!,” i sought out the brand new identity that yielded the greatest quantity of google search results and possess appeared in the greatest amount of academic offer. I rated the fresh meme parents according to the search prominence plus the number of informative provide one accepted her or him. Out from the 50 meme family members, 40 had been chosen this way. Finally, just like the informative present indexed only memes up until 2010, in order to are more recent memes, i extra 10 most common memes following the a similar techniques, however, versus triangulating the content that have informative source.

We made use of a mix of one or two well-known meme-dependent social network other sites (Reddit and Tumblr), so you’re able to to get 20 some other cases of each one of the fifty meme families. I made use of the titles of 50 chose memes (elizabeth.grams., “Charlie Part Myself”) while the research inquiries on these social networking sites. Instead of typical-specific online search engine eg YouTube, this technique allowed me to identify a variety of prominent clips, photo, and you may text products of the meme family members. These sites along with permitted sorting considering their inner ranks options: To own reddit, we utilized the vote rating, figuring the difference between positive (upvotes) and negative (downvotes) opinions; to possess Tumblr, we gathered how many „likes“ and you can „reblogs“ (shares) a distribution acquired. After the interior positions possibilities, brand new 20 top instances of for every single meme were tested, normally playing with fifteen out of reddit and you may 5 regarding Tumblr, as previous are discovered to be a very credible and you may respected supply. This procedure was picked so you’re able to best echo the brand new collective advice and you can preference of one’s pages due to the fact expressed from the energetic voting or revealing, looking to place the most preferred and thus most user circumstances of every meme relatives. Given that detail by detail lower than, so it take to is exposed to one another posts and network analyses.

Posts study

The newest reached try was examined playing with quantitative content data. The initial phase off coding worried about pinpointing Dating apps dating app the particular quiddities within the for each meme relatives. For each and every meme such as for instance, the brand new programmers noted the main features one to remained regarding fresh meme otherwise was indeed normally shared of the almost every other cases of an equivalent members of the family (particularly, a main profile, a specific terms, or an item). An excellent rooted, qualitative study you to definitely then followed this initial phase produced four categories of quiddities, which accounted for most of the instances we checked-out: target, step, certain reputation, generic character (e.grams. “child” or “cat”), and you can keywords. The complete corpus ended up being lso are-examined quantitatively, with respect to the four groups: Each meme like is coded because of the a couple of programmers for having that or more of four quiddity products. At this time, a keen intercoder accuracy take to is presented (pick below).