As of now, we have learned that a
genre is a broad category of literature, composition, etc, and that each genre
has its own set of conventions. Using these genre generators helped me get a
closer look at the uniqueness of each genre.
While using the computer science
research paper genre generator, I noticed a particular pattern that resided
with in all of my generated examples. All of the CS research papers I received,
had similar formats. They all began with an introduction, had some sort of body,
had a results paragraph, and had a conclusion as an ending. The topics
discussed in the CS research papers, were also very similar. They all incorporated
a relation to mathematics or science in their body or results paragraph. The
majority also included a graph to further explain their research, or as
evidence to support their research. Another common element displayed by the
generator was a reference page. Each reference page had a list of the sources
used on the research paper, to give the reader a better understanding of where the
information came from, and to establish credibility for the author. Overall,
this generator aids the user to establish their own conventions on CS research
papers. By providing the user with multiple examples, the user is forced to
produce their own patterns, and make their own analysis of what makes this
generated example a CS research paper. However, not all generators had the same
results.
The comic strip generator was a bit
confusing to me at first. At the start, I thought that the purpose of this
generator was going to be similar to the previous generator. I was expecting to
see a lot of comic book examples, and then decipher the patterns I saw into
conventions. However, there was a lack of variety in this generator. The only
bits that actually changed were the positions of the comics. Which then made me
think of visual literacy. Although, each comic section repeated multiple times,
the positions of each did switch. The comic square that was first in the
previous strip was now on the third, and so on. This helped me contemplate
about the grand effect of each comic square, and how changing one square to a
different side changes the entire story behind the strip. Even though, the main
concept grabbed from this comic strip generator was the topic of visual
literacy, I did find that because of the repetitiveness the user could still
interpret a comic’s conventions. Based on the comic strips provided, it was
easy to assume that the conventions of a comic strip rely on images and think
bubbles. Each comic is highly represented by a cartoony effect as an image. The
effect of a comic would change drastically if the images presented were more
visually realistic. For the most part, no matter what the comic’s topic is
about, the images and think bubbles are what makes a comic book an enjoyable literature.
Another generator that I used was the
meme generator. This meme generator was very similar to the CS research paper
generator. They both focused on generated multiple examples of a specific genre,
which assisted the user in deciphering its conventions. While I was reading the
memes on this meme generator, I caught myself laughing at most of the memes.
Which, made humor my first convention of memes. Most of the memes focused on
something comical, sarcastic, or “punny.” All categories that result in a
laughter, smirk, or giggle. This meme generator also depicted a majority of causal,
laid back memes. Almost, nothing related to politics, research, school, or
government. From this meme generator, I was also able to notice that like in
comics image is everything. For every meme, there is a precise photo that goes
perfectly with the text. Whether it is the facial expression on the photo, or
what a media character represents in the image, both have a close relation to
what the text is trying to communicate.
For my
own generator, I decided to use a mystery novel generator from
generatorland.com. This generator is unique in itself, but most common with the
comic strip generator. It did not provide the user with multiple examples of
mystery novels, but instead it provided multiple examples of what a theme of a
mystery novel could be based on. For example, one of them read “unfaithful
spouse, December 26, Pipe wrench Anger.”
This sentence lets the user assume that the story in the mystery novel occurred
December 26, and is focused on an unfaithful spouse that may have been hurt or
may have hurt someone with a pipe wrench. Based on the multiple topics or
storylines that are provided by this generator, the user could come up with
some conventions. From this meme generator, I got that mystery novels have an unanswered
question that readers solve while reading. They also rely on themes of murder,
tragedy, kidnappings, and the supernatural. This meme generator shows that in a
broad genre like mystery novels, there are mini genres within, that have their
own conventions. For example, all the themes are a specific kind of mystery that
have different conventions from each other.
After playing
around with all these generators, I noticed that each generator works in
different ways depending on the genre. Each generator’s priority was to focus on
the best way to get the user to understand the genre as a whole, and then they
focused on how creating patterns within their examples to help with
conventions.