Writing a peer review

Here’s a short and sweet list of points to write your next peer review, courtesy ICWSM-19:

  • A brief summary of the main content and contribution of the manuscript.
  • A summary of the strengths of the manuscript.
  • A summary of the weaknesses of the manuscript.
  • The anticipated impact of this work.
  • Ethical considerations of the data/problem, if any.
  • Any other relevant points.

It can be incredibly hard to be a good reviewer, but it’s an important way to (a) improve your own research thinking, (b) stay up to date with the field, and (c) give back to the community. This blogpost is a rant about the reviewing practices for CS conferences, but it may apply to your own experiences reviewing elsewhere.

The problem is always that there are so many reviews to do and so little time. To cap it all, conferences often encourage lazy reviews. There are radio buttons which you use to determine the novelty, size of the contribution, the scope of research. Very good. But I took a minute to really think about this and read some pieces by other academics about what makes a good review or even good evaluation criteria. This is not it!

ai_review

You’ll see in Elmqvist’s eloquent piece that these questions allow reviewers to take a shortcut out of providing actual, thoughtful, helpful feedback. Of the questions in the review form above, which ones will actually help to make the research better? Probably only 5 and 6!

There are some places which do reviews the right way. Coming back to the list I started this post with, see, for example, the in-depth review criteria for this other CS conference that I review for.

  • What is this paper about, and what contributions does it make?
    Please describe what problem or question this paper addresses, and the main contributions that it makes towards a solution or answer.
  • Strengths:
  • Weakness:
  • Questions and Feedback for the Author(s)
  • Presentation improvements
  • Typos
  • Reviewer confidence

If you’re still reading and what to know what other smarter people think about writing reviews, I’d encourage you to have a look here.

Here’s an excerpt from Prof. Elmqvist: there are two glaring omissions in these rubrics that reviewers need to care about:

  • Significance. How important is the contribution over the existing work in the literature? What are the potential benefits to science and to society? Not all problems are worth solving and not all questions are worth answering. Discuss what this paper actually contributes to the research field.

  • Validity. This section discusses the methodology and the approach taken to the research, and the corresponding confidence other researchers and practitioners can have in the results. This is the part where you evaluate and discuss the validation mechanisms the authors used to prove the significance of their work. In case they provide an implementation, discuss the feeling you have about the implementation (feelings you get from reading the technical description as well as watching any video). For a theoretical argument, analyze and discuss the internal and external validity of their argument. For a user study, discuss whether the study was conducted competently, if the tasks were ecologically valid, if the data was analyzed correctly, etc.

Are there resources you want me to link to? Drop me a line, and I’ll add them in.

 

 

 

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