I am working on a revision of an academic research paper. We performed some empirical studies and wrote a paper to demystify some common misunderstanding of certain techniques.

One reviewer gave me comments saying that "the authors deal in emotional absolutes." And further point out cases like "widespread and pessimistic views" of technique XXX, and "discouraging findings", "inspiring findings", so on and so forth.

I almost get her point; nevertheless, I am still looking for some concrete definition and examples of emotional absolutes to help me revise the tone and become more neutral.

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    It's a totally cringeworthy term. – Edwin Ashworth Jan 11 at 19:51
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    The reviewer didn’t like your paper. There’s no point agonizing over her choice of words. We can’t tell you what she didn’t like. If you can’t see it yourself — really? — ask a colleague, but don’t shoot the messenger. This is academia. Most of us have been there. – David Jan 11 at 23:20
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    If you want examples, the best ones are the ones she showed you. – Yosef Baskin Jan 12 at 0:01
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    Your reviewer already gave you examples directly from your work. Widespread, pessimistic, discouraging, inspiring, these are all judgment values - expressing opinion rather than reporting the facts. – Yosef Baskin Jan 12 at 0:07
  • If the phrase "widespread and pessimistic views" is yours, it's a great example. If it's hers, it's a great example of irony. – jimm101 Jan 12 at 19:04

I think, ironically, emotional absolutes is a phrase using overly emotional language of the type the reviewer would like you to avoid. It may have been more impartial to have phrased it something like the authors should avoid emotional language or stated positively as the authors should use more objective language. You may find this rewriting to be more concrete because you aren't left puzzling over what exactly is meant by emotional absolutes - it just sounds like a bad thing, accusing the writer of absolutism.

Emotional or emotive language is language directed towards the emotions of the reader, often in a way that tries to persuade the reader to agree with the writer by appealing to values and feelings.

It's common to advise that academic/scientific professional writing avoid emotive language because it conveys subjective interpretations that are unlikely to be supportable by empirical evidence. That said, this is somewhat of an issue of style, and writing completely impersonally can come off as too dry.

When you describe findings as either inspiring or discouraging you are really describing your personal, emotional response to those findings. Findings can be significant or inconclusive without introducing emotion. For example, it might be disappointing to you if your technique is not shown to be conclusively better than an existing technique, but is it really objectively disappointing? For all the people who have used the technique in the past it might instead be reassuring or a bit of a relief. You can simply describe the result as inconclusive and allow yourself and your reader to have their own personal response.

Since I don't feel like it's possible to give a concrete definition that covers all cases, I can share some other examples from style guides and academic writing advice that cover this issue:





To find language in your writing that is overly emotional, I would suggest going through, sentence-by-sentence, and ask yourself whether the sentence is something that everyone could agree on or whether it's really your subjective view.

As a final piece of advice towards interpreting reviewer comments, I'd also suggest that

the authors deal in emotional absolutes

may be code for:

the authors express opinions that I disagree with

The reviewer may be most placated if you defer to the existence of controversy on some of the opinions you express. You may be writing that there are widespread pessimistic views of their favorite technique, and while they may not expect you to delve into all the pros and cons of both sides in your particular manuscript, you can at least share your opinion without implying that those who disagree are idiots. In statistics, there is a common phrase "All models are wrong, but some are useful", written in various forms by George Box and some others. I think this phrase is also true when expanded as "All techniques are wrong, but some are useful" - keep this in mind when writing a paper that is critical of various methodologies.

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