Tag: research

Method readings: Multimodal discourse analysis

Method readings: Multimodal discourse analysis

A recent reading on research methodology that has turned out to be rather impactful to me is Norris’s new book, Systematically Working With Multimodal Data: Research Methods in Multimodal Discourse Analysis, published just 2019. For a good while now, I’ve been trying to find a toolkit for making sense of how meanings are communicated on videos – a systematic toolkit that would help me deal with the overwhelming material that one video can contain. While first reading it, I had somewhat mixed feelings about multimodal discourse analysis (MDA). On one hand, it was intimidating to read about the level of detail in transcription that noted someone’s hand going up and down three times when they scratched their nose – that is, I’m not sure whether the level of detail that MDA goes into in transcribing lower-level mediated actions (‘a mode’s smallest pragmatic meaning unit’) is what I’m looking for in my research. On the other hand, now that I know of such a systematic and detailed way of transcribing and noting actions in videos, it seems impossible not to want to use it for absolutely everything (although perhaps combined with some other approach). And it does help that MDA guides you to focus on multimodally transcribing only the parts that are relevant to answering your research question, since it would take too much time and might even be counter productive to transcribe the whole video. The book specifically warns you not to start immediately transcribing (especially speech because this puts the focus on spoken language), but to first to take notes, get an overall understanding of the present higher-level mediated actions (for example, Skyping is one), and then decide which parts are relevant for a detailed micro analysis.

The step-by-step guidelines offered by the book are clear and helpful, but also a bit overwhelming initially, since when the process is broken down to pieces, it seems there are endless steps to the analysis. Once one actually starts doing it, it may not turn out to be that bad, especially after some experience and having figured out, for example, which programs to use for transcription.

I’m almost certain that I’ll end up making use of MDA as suggested by Norris sooner or later; I’ve included it as part of the methodology in my recent chapter proposals and funding applications because although MDA alone doesn’t seem enough to answer the questions I aim to answer, it seems such a valuable tool for working with video data.

Reading papers: Reception studies and discourse theory

Reading papers: Reception studies and discourse theory

I’ve decided to give a try to reading all the random research articles and chapters I’ve collected from the past few years and writing down some thoughts on each one. (Good luck with that, huh??) This leads us to the disclaimer that I should probably post on each update:

I don’t aim to write ‘academic reviews’ of these papers, but very informal and subjective thoughts about how these papers or chapters could influence my own work. I even avoid direct quotes of the text to also make it visually more apparent that this is not an academic text.

The first paper I’ve read is “The right to die: a Belgian case study combining reception studies and discourse theory” by Leen Van Brussel, published in Media, Culture & Society in 2018 (find it here).

What drew me to this paper were reception studies and discourse theory mentioned in the title. The paper is about the field of media studies which isn’t exactly my field – I’m certainly interested in studying media, but I’m not familiar with the specific tools and theory of the field of media studies, to clarify! However, I believe I could find use for some of the approaches and concepts of media studies, which is why broadening my views seems like a good idea.

Also, with my background in linguistics, I’m very familiar with the concept of discourse, but as a methodological approach it’s usually referred to as discourse studies or discourse analysis. The use of discourse theory, specifically, made me curious to see whether this media studies approach is much different from the approaches I’m used to. (While it underlines discourse that goes beyond the linguistic, there are certainly discourse analytic approaches that also take context and multimodality into consideration, so in that sense it’s similar. With that being said, some of the tools presented in this paper were new to me, so clearly there is some homework to be done.) Reception studies is also something I’ve wanted to learn more about, since I’m interested in studying player experiences of video games. Therefore, understanding better how to study the ways in which people make sense of and experience different types of media texts sounds pretty important. Finally, I was also interested in the combination of two approaches (reception studies and discourse theory) that Van Brussel says has not been used much before; I’m all for finding new ways to combine approaches, I’m often tempted to do such things myself, and am inspired by the innovativeness of others!

The study examines what people say in response to media texts about euthanasia, but instead of euthanasia, I’m more interested in the approaches and concepts that the author is working with and how they conducted the study. This can be a kind of a difference between an academic reader and a non-academic publication: the latter is usually only interested in the results, but for the sake of improving my professional toolkit, I’m intested in how those results were achieved. (With that being said, euthanasia was a very interesting topic for this paper and I happily read all of the analysis!)

To summarise my FEELS about the approaches: what Van Brussel is selling, I’m buying. First of all, the tools presented in this article are explained clearly and make sense. Everything was easy to read and understand. Secondly, I can see how the proposed combination of discourse theory and reception studies could have many uses, including the context of video games which is my current playfield. Very good, solid stuff.

Possibly the biggest concrete takeaway to me from this paper is the differentiation between the logic of recognition and the logic of identification when we interpret media texts. Of these, logic of recognition has to do with recognizing the socially dominant order, the hegemonic message in the text. But recognizing it doesn’t say anything about how we invest in it (or whether we agree/disagree with it, how position ourselves in relation to it). That’s where the logic of identification comes in: how we identify or dis-identify with discourses that become activated in media texts. The differentiation between the two makes it possible to examine how people produce interpretations like “these are the values, ideologies etc. that I recognize the text is constructing, and/but this is what I say about it”. Seems rather useful to me, and applicable to many different types of data.

The study shows how people can negotiate and reject discourses that are activated in the media, or how they can bring in alternative discourses. To me the interesting next step is to examine how this is done in different contexts and what types of alternative discourses people offer in them. At the same time, we’re also dependent on existing or available discourses that allow us to speak; if the discourse doesn’t exist in the society, or in the media, how can anyone say anything about it? This leads to how important it is to consider what discourses are made available to us, especially because it can be so difficult for us to see the invisible. In the linguistic sense, we can see new words and terms developed or borrowed when discourses emerge – an old example of this is perhaps the loanword sekuhara for sexual harrassment in Japanese, from 1989. However, arguably it took until the global Me Too movement (and the simple, unifying label #MeToo) of the late 2010s for the discourse to be made available again in the Japanese culture.

In any case, although I’m not technically a media scholar, I’m very interested in using the tools suggested by Van Brussel at some point, and I’m pretty psyched that I could be so inspired by the very first article that I ended up reading for this little ‘project’. Now even if I next end up reading several articles that don’t have much I could apply in my own work (although I have no doubt that they are good papers), I can always fondly remember this one.

 

Research and ‘decision debt’

Research and ‘decision debt’

I was listening to Brooke Castillo’s The Life Coach School podcast (yes, I am kind of into self-coaching and thought work at the moment) episode #264, Decision Debt. Although the episode is about (not) making life decisions in general, I couldn’t help but think about how central decision-making is also to doing research and dealing with activities related to research.

Castillo points out that for as long as we don’t make a decision on something that we should, it keeps draining our energy, and everything we are unsure about piles up into a debt of unmade decisions. This results in us weighing options over and over again in our heads and in an emotion of obligation that is similar to financial debt. How to recognize a decision that should be made? When we think something like “I don’t know”, “I’m not sure”, “maybe, maybe not”, “I’ll see what happens”, “I’m confused” – these are telltale signs that whatever makes us think these thoughts is something that demands a decision to be made.

What does decision-making give us? It moves us forward whether we decide TO do something or NOT TO do something; either type of decision is a step forward. Every decision also frees up energy and makes us conscious about our choices. It allows our brain to focus its energy on the following small decision that help us towards the desired result. (So for example, you might make the big decision of going to grad school, and after that smaller decisions on what kind of research you will do, which will also be split into smaller decisions about research methods and data, and so on.)

According to Castillo, we often postpone and hesitate to make decisions because we want to make “the right decision”. However, she also points out that indecision leaves us just as uncomfortable as making a decision that comes with the risk of failure. So, might as well go ahead and stop wondering which way to go!

Decision-making takes place constantly in research. As a fresh postdoc researcher, one of my struggles has been deciding which exact research topic to focus on next – there are so many options even after I narrow it down to ‘online gameplay videos’. But besides that, there are, for example, conferences, chapter proposals, and all kinds of interesting events that tempt us to participate, but it’s not possible to give every option the same kind of priority. A conveniently located conference might have a theme that requires you to think slightly outside your current research project and do extra work that you don’t really have the time or resources for. But the longer you keep wondering if it’s worth the effort instead of committing to either submitting your abstract or waiting for a different opportunity, you are wasting important energy. Us researchers desperately need that brainpower.

Another important aspect highlighted by Castillo was how important it is to ‘re-decide’, to remake decisions down the line. A clear example of this might be the PhD process. Can you re-decide to complete the PhD two years into the project? If you could be happy either way, would you choose to keep working on the PhD or choose to stop? But more senior researchers face such decisions as well, especially if some research articles seem to drag on year after year –  because of lack of time, and eventually interest. After some time, the topic might not seem as exciting as it did before, and it can be challenging to finish. Still, the articles keep haunting somewhere in the back of one’s mind. This seems like an excellent time to re-decide and either decide to finish the articles by a certain deadline, or decide that this is never going to happen, so might as well give them a proper – but quick – burial.

All in all, it seems like a healthy idea to regularly check which decisions, big or small, are ones that need to be made. Castillo suggests giving each decision a deadline, so that they won’t be postponed the way they have been until the present moment. The goal is to decide to want what is, or decide to change. To many young researchers, a big decision to make is whether to continue doing academic research at all, or try to find employment elsewhere because of the scarcity of research funding and stable research positions (or tenure track positions). This is a difficult and life-changing decision to make and, as someone who spent seven months of this year unemployed after completing my PhD, it can be difficult to set a deadline for how long it makes sense to keep applying for research funding and elusive research/teaching positions. This is especially the case when it takes anywhere from four to nine months to hear whether a funding application has been successful or not.

What are some of the decisions that you need to make?

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