p-viewpoints reported just after Bonferroni modification following ANOVA (*** p Desk 6 reports the top 29 discriminating words one to exist within the establish and you may absent fraction stress listings. We find you to definitely words including tell mom, telling anybody, come speaking, and you can state things are present more frequently in the listings one express Fraction Stress. These keywords try connected with sharing and revealing, and regularly to individuals that happen to be directly about the newest discloser, including “mom” eharmony vs christian mingle profiles, “dad”, otherwise “friends”, for example inside the “I am a coward to get not able “tell my mommy” so you can this lady deal with that I’m homosexual,” These types of resonate strongly that have early in the day works that individuals which experienced parental rejection when disclosing its LGBTQ+ identity sustained greater psychological distress , with the dilemmas to disclosing LGBTQ+ term , together with LGBTQ+ individuals’ need certainly to weighing costs vs. positives whenever deciding to let you know or keep hidden its identity, generally due to stigma [16, 22]. I plus observe phrase you to express thinking-feel and you will existence incidents, such “become feeling”, “months later”, don’t feel, mainly take place in the brand new listings having minority be concerned phrases. Such as for instance, a post says, ““already been effect” these problems when i are 16 or 17, and since out of my parents, I found myself instance, ‘No I won’t manage this’ and you will pushed them back off once more.” These terminology get in touch with Meyer’s discovering that hiding one’s LGBTQ+ label for long periods of energy, an essential coping strategy for many, can lead to enhanced stress .
Conversely, words relating to assistance and you may gratefulness, such as many thanks (in) improve, thank you so much (for) training, and you may greatly appreciated take place in abundance inside listings that don’t display fraction be concerned. For example listings are typically in the seeking to advice including toward localities within the metropolitan areas, otherwise relationships, “people tips about teasing and only befriending the lady as a whole manage be “considerably enjoyed””. We also observe of numerous general keywords and/or category brands, including gay lesbian, lgbtq people, and you may gay and lesbian amicable are more regular on the listings that do perhaps not incorporate fraction stress. This could be from the undeniable fact that they who be publicly LGBTQ+ are becoming the good benefits associated with disclosure and thus are most likely to-be faster disappointed . As well, such listings is actually plausibly because of the individuals who want to disseminate this new sense of society, variety, and you can inclusiveness, for example, “ We give thanks to brand new LGBTQ+ society to be along with her, because of family and you can social networking,” and you will “What is actually the quality or expect new LGBTQ area[..]”.
Together with her, you to definitely evaluating motif present in this new posts you to definitely share minority be concerned versus of these that don’t, is the fact since previous is mainly “personal” and you may “self-experiences”, aforementioned is always to raise awareness, and you can explore less-personal and a lot more standard situations about the new gender and you will sexual minorities. This type of listings is actually less inclined to associate straight to the person’s state of mind, and you will relate alternatively toward neighborhood generally.
I focus on the finest discerning phrase in the fraction be concerned (because acquired through SAGE research) since these are most likely to be the fresh new linguistic indicators off fraction stressors and you will fraction stress. For every single blog post in our dataset, we have the newest cosine similarity off term embedding representations [70, 85, 94] on descriptions of any category in our codebook- Prejudice Incidents, Seen Stigma, and you will Internalized LGBTphobia. We play with three hundred-dimensional lexico-semantic hidden space out of phrase vectors (pre-trained to the Wikipedia corpus out-of 6B tokens ). I label for each article with high tendency of owned by those fraction fret classes, in which the similarity are a lot more than a specific tolerance (0.80) (find Fig. 4b into the shipment out-of minority worry categories as well as their overlap). Following, on such basis as volume delivery in terms of fraction be concerned categories for every single post, we obtain those people tokens one to excel in the minority worry language. Fig. 4a plots of land so it shipment, where in fact the radial club plots let you know the new probabilistic possibilities fee per keyword inside the each of the groups.