General Writing - Audience

General Writing - Audience General Writing - Audience - Start

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General Writing - Audience - Description

What is their level of knowledge?. Advanced, intermediate, basic?. Hard to start too basic – but . have to. use the right terminology . (use . a s. ample . paper). What is their goal in reading the paper?. ID: 334181 Download Presentation

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General Writing - Audience




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Presentations text content in General Writing - Audience

Slide1

General Writing - Audience

What is their level of knowledge?

Advanced, intermediate, basic?

Hard to start too basic – but

have to

use the right terminology

(use

a s

ample

paper)

What is their goal in reading the paper?

General information – survey

Specific results

What is your goal in writing the paper?

Report specific result(s)

General

info

Rebuttal

Other

Slide2

General Writing - Audience

Appropriate title

Do you want to appeal to a broad audience or target a specific audience?

“Graph Structure in the Web”

“Learning representations by back-propagating errors”

“Removal

Bias: A New Cause of Code Growth in Genetic Programming”

“The Task of the Referee”

Slide3

Reading Order

Title “Graph structure in the web”

What about it?

“An examination of the graph structure of the web”

“Non-homogeneous structure of the web”

Authors?

At corporate research centers

Slide4

Reading Order

Abstract

“… web as a graph…” – what

“… yields valuable insight into…” – significance

“… over 200 million pages and 1.5 billion links” –something impressive

“Our study indicates that …” – major result in the

abstract

a

paper is not a murder mystery

Slide5

Reading Order - Paper

Conclusions ???

3. Interpretation and further work (but also section 4. Further Work)

Figure 9: In, Out, Strongly connected center (SCC), tendrils, tubes, etc.

Results:

Structure

Diameter

Distribution

Difficult to pin down major result(s)

Slide6

Reading Order - Paper

Introduction

Rational “…several reasons for developing an understanding …”

Overview of experiment

Previous results

Main results

Section 1.2 Related prior work

– Background?

Slide7

General Writing - Clarity

Language - Be preciseAvoid jargon (as appropriate)Use definitions where necessary – avoid too many new definitionsBe careful with abbreviationsEnglish – Be concise Active sentencesSimple Sentences

Slide8

General Writing - Precise

The algorithm is slow.

How slow?

This algorithm has a high computational complexity.

How high?

Large instances of the problem are computationally infeasible.

What is large? What is infeasible?

The results show that algorithm A is better than algorithm B.

Better meaning what? Faster? Uses less memory? More accurate? Easier to understand? Easier to use?

First, the objects are sorted.

Sorted by what?

Slide9

General Writing – Clarity

Be careful when using pronouns – “it”

“Algorithm A is 50% more efficient than algorithm X.

It

uses a bubble sort to improve efficiency, although a quick sort would be better.”

Slide10

General Writing – Active

Protecting the confidentiality of information manipulated by computing systems is a long-standing yet increasingly important question

.”

“A

longstanding question of importance is how to protect the confidentiality of information that is being manipulated by computing systems

.”

“An important, longstanding question is how to protect the confidentiality of information that is manipulated by computing systems.”

Which is easier to read?

Slide11

General Writing – Clear, Active

“The research process involved running each of the three algorithms on

each of five

separate data sets.”

“All of the algorithms were applied to a collection of five data sets.”

“We ran all three algorithms on five separate data sets.”

Slide12

General Writing – Active

By running the strongly connected component algorithm, we find that there is a single large SCC consisting of about 56 million pages, all other components are significantly smaller in size. This amounts to barely 28% of all the pages in our crawl. One may now ask: where have all the other pages gone? The answer to this question reveals some fascinating detailed structure in the Web graph; to expose this and to further study the issues of the diameter and average distance, we conducted a further series of experiments.


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