Genre generators use a genre’s conventions to create a
random example of work from that genre. For instance, SCIgen “generates random
Computer Science research papers, including graphs, figures, and citations”(SCIgen
website). This genre generator follows the conventions of a research paper.
Each research paper created is divided into several sections with the same
order each time. Scientific papers usually begin with a title that highlights
importance of topic followed by the author of the paper. Then, there is an abstract
that summarizes the question asked and explains the motivation for asking it.
After the abstract is the introduction. It presents the background of the
question and what to expect in the rest of the paper. Next is the explanation
of the methodology used and what models were used in trying to answer the
question being asked. For these computer science research papers, charts and
diagrams were also included in this section. Then there is an implementation
section and a results section that includes the data and analysis of the
project. Finally, there is the conclusion section and references section. This
specific organization of the research paper (the sections, graphs, and
references) is the same each time a new paper is generated, even if the words
and topics are different. The research papers are often around 5-8 pages long,
and often use Computer Science jargon. They have a scholarly tone that is
confident and respectful.
Another example of a genre generator is Pandyland, which is
a genre generator that creates random comic strips. The conventions for comic
strips significantly contrast with the conventions for Computer Science
research papers. While computer science research papers have text and diagrams,
the Pandyland comic strips have three panels of pictures. Comic strips are
usually short sequences of cartoons meant for entertainment. Some panels have
text in bubbles and in captions while others have no text and have the characters
performing actions. The Pandyland comic strips are easy to understand and colored.
The text in these comic strips is very short; there is often a single statement
in each panel or none at all, and the tone is humorous and light.
Similarly, an online meme generator (memegenerator.net) produces
memes, which are usually popular images in social media that have white text
over them. The text is usually large and in all capital letters. The generator makes
single images of people, animals, or cartoons with text on the top and bottom
of the photo, depicting what the character is saying. Like comic strips, memes
are meant for entertainment. The text is often no longer than two lines and the
tone can be sarcastic, witty, or comical.
An additional genre generator is the Postmodernism Generator
(http://www.elsewhere.org/pomo/), which produces Postmodernism Essays. Similar to a
research paper, the postmodernism essay generated is academic-based and is
meant to explore and expand on a theory or question being asked. These essays
also have titles that contain the key words of the essay, followed by the
author’s name. For these postmodernism essays, the department and university of
the author are also included. These essays are divided into sections and
numbered. Each section also has many quotes. At the end of the essay, there is
a list of references. These generated essays can range from 2-6 pages of text.
How can thinking about what’s happening in these websites
help someone better understand genre?
Each of these websites creates a random example of their
genre. After trying out the website multiple times, many examples of each genre
are created and can be compared and contrasted. How is a research paper
different than a comic strip? Some surface level features are easy to spot. For
one, they look completely different. One has pictures and cartoons, and the
other has pages full of text with paragraphs. Each individual genre’s
conventions and rhetorical devices make that thing that thing, and recognizing these creates genre awareness and an
understanding of the genres and the term genre. When someone compares and
contrasts the multiple examples from that genre, they can identify the patterns
that are used in all of the examples. This is why the genre generators are so
helpful. It doesn’t matter what you put into it, no matter what, you get the
same patterns each time for each specific genre. This helps that person
understand the genre and what to expect from any other pieces from the
generator. For example, after generating many research papers, I can see that
each research paper created has the specific conventions mentioned in the first
paragraph, such as an introduction section and graphs and references. Now I
know how to recognize and distinguish a research paper from a comic strip based
on the conventions I understand about both of those genres. It also allows me
to know what to expect when I read a research paper or what is appropriate when
I need to write one. All of this information is given to me from experimenting
with these genre generators and gaining genre awareness.









