To evaluate if Instagram content meets formal menstrual education standards, my data collection consists of three main components:
1) Collecting a sample from each influencer
2) Coding for possible menstrual education standards
3) Evaluating if the influencer content meets standards
First, I take a sample of 12 from each influencer. To do so, I look at every post or reel from 2025, noting the amount of likes. The most liked piece of menstrual content*, is saved to an influencer-specific collection.
Something interesting I noticed in this process was that some accounts were more influencer-focused, while others were more menstruation-focused. For example, Influencer #1 had content about her personal life, completely unrelated to menstruation. Influencer #2, on the other hand, only had menstrual-focused content, honing in on Polycystic Ovary Syndrome (PCOS).
To decide what qualifies as menstrual content, I refer to the educational standards outlined by Jones and Baldwin (see Signal page) and the DC 2016 Menstrual Health Education Standards. I deduce these standards into keywords and phrases to look for in influencer content. I then sort these keywords into topics, and the topics into grade levels.
The coding process consists of viewing the 12 saved pieces of content, or reading the captions, and taking note of menstrual topics. I log the date, title or topic, likes, content type (reel or post), apparent purpose (educational, entertainment, or advertisement), possible educational standards and their corresponding grade levels. Then, I make notes explaining why I think those topics are addressed in the content.
The final step in the data collection process is evaluation. This step is the most difficult because I have to assess if the content actually meets an educational standard: does it include enough information about the topic? Is it surface level, or in-depth? How would someone who knows little about menstruation view this?
Personal Bias: Something I notice as I go through my data collection process is personal bias. Sometimes I may think content meets an educational standard, because I already have a basic understanding of menstruation. Each piece of content can be interpreted differently, and as a result, they may educate some but not others.
Cultural Perceptions/Nationality: Some of the influencers in my study were not born and raised in America. Menstruation is viewed differently in cultures around the world, so the diversity of my sample complicates my research. I decided to include influencers of non-American nationalities for one main reason: America is a country built upon diversity. People of different descent are in almost every American state, city, neighborhood, and school. If young girls and women see influencers who reflect their heritage, menstrual content may feel more relatable.
Looking Forward: As I continue my research, I plan to spend more time in the evaluating step of data collection. In other words, I will assess if a piece content meets an educational standard effectively. This could look like completing one influencer's initial evaluation, then coming back to it after completing a different influencer's evaluation. This way, I can be more cutthroat in my data collection process.