She's Reddit: A source of statistically significant gendered interest information?

Endometriosis pain and epistemic community: Mapping discourses in online discussions among sufferers

We focused in this study on how the private experience of pain is made public through online discourse by sufferers of endometriosis. Empirically, we analyse two highly active endometriosis communities on the online social platform Reddit. Drawing on a mixed-methods design, we leverage large-scale social data, and a combination of computational and interpretive approaches for text analysis to study the role and shape of interactions relating to 'pain' for the formation of epistemic community online around endometriosis. The dataset, consisting of 70,817 forum posts and comments, was collected in May of 2021. Our study shows how pain becomes meaningful for endometriosis sufferers in relation to a multidimensional discursive space of words and concepts that are used to express it. Pain was frequently disguised, underplayed or hidden altogether, from fears of misunderstanding, medical dismissal, and embarrassment. Clearly, peer validation can be found in the relative anonymity of Reddit discussions. While the experience of pain is individual and subjective, when communities share similar experiences this reinforces patient ownership of the pain, which in turn supports the epistemic authority of the patient collective. A detailed understanding of how and why pain is discussed in online spaces has much to contribute more broadly to discussions of experiential collective knowledge production among individuals with endometriosis and other chronic illnesses.

Using Dynamic Pruned N-Gram Model for Identifying the Gender of the User

Organizations analyze customers’ personal data to understand and model their behavior. Identifying customers’ gender is a significant factor in analyzing markets that help plan the promotional campaigns, determine target customers and provide relevant offers. Several techniques were developed to analyze different types of data, including text, image, speech, and biometrics, to identify the gender of the user. The method of synthesis of the profile name differs from one customer to another. Using numerical substitutions of specific letters, known as Leet language, impedes the gender identification task. Moreover, using acronyms, misspellings, and adjacent names impose additional challenges. Towards this goal, this work uses the customers’ profile names associated with submitted reviews to recognize the customers’ gender. First, we create datasets of profile names extracted from the customers’ reviews. Secondly, we introduce a dynamic pruned n-gram model for identifying the gender of the user. It starts with data segmentation to handle adjacent parts, followed by data conversion and cleaning to fix the use of Leet language. Feature selection through a dynamic pruned n-gram model is the next step with the recurrent misspelling correction using fuzzy matching. We evaluate the proposed approach on the real data collected from active web resources. The obtained results demonstrate its validity and reliability.

Gender differences in consumer preferences when buying dairy products in Slovakia and Russia

In spite of geographical and culture differences between examined countries, there can be found similarities in consumer behavior of men and woman and also the similar tendencies on the dairy product market. In the last decade different fields of science concerns with the topic of gender differences more frequently. The article is based on a research of consumers' overall attitude to dairy products in Slovakia and Russia. The important role of gender differences underlines the outcomes of the questionnaire survey. Kruskal-Wallis test and Bonferroni correction was applied to verify the hypothesis whether there is a dependency between gender of the respondents and their attitude while choosing the dairy products in both countries. Analysis showed that in both countries women tend to buy dairy products more often than men. Also consumers prefer more domestic products, but Russian not as significantly as Slovakian. In both countries consumers consider the price of dairy products as high, but they don”™t outline the price as the most important factor when choosing dairy products. At the same time, both genders consider quality as the most important factor. These results indicate the existence of a niche at the Russian market, which could be used by Slovak dairy producers who can possibly penetrate Russian market. In addition, the similar marketing strategy for both, Slovak and Russian market can be used if the advertisement will be sensitively focused on the gender.