These types of results is represented into the Desk 4, which provides the particular coefficients and you will basic errors

For the analyses not found right here, we compared is a result of which modeling approach to several others, eg proportional chance and you can partial proportional opportunity logistic regression, having fun with one another AIC and you can indicate squared error (MSE) of installing thinking. In most times, OLS regression had straight down MSE and you may AIC, proving it was fitting far better the data even with and when an effective continued in the place of ordinal effect. When you compare the brand new OLS efficiency, we circular the newest fitted thinking towards the nearest integer to be certain the reduced MSE isn’t a result of that have an ongoing impulse. In analyses perhaps not revealed right here, we also attempted as well as regulation to have period and you will day of the month, nevertheless results didn’t tell you medical distinctions and you can our conclusions was indeed unblemished.

Comparing Sentiment Scores having Insulting Adjectives: OLS Results

In our data, we find support towards conflict your inclusion from insulting terminology one to bolster female stereotypes inflates the general bad belief out-of an excellent tweet rather. On majority of instances (70%), new inclusion of just one of the adjectives escalates the negative sentiment regarding a great tweet, indicating that phrase besides lower belief, however, that it was discover near adequate to an important label for its score so you’re able to affect significantly the tweet’s overall get. In addition, the brand new addition from a great normative adjective alone is sufficient to get rid of the sentiment get of a contact (we.elizabeth., improve tweet so much more negative) of the step one.0 normally. Ergo, while the high attempt size may determine the latest statistical significance of the outcomes, the fresh new finding that the new addition regarding adjectives results in substantial bad outcomes is specially noteworthy.

Around the each of the terms independently, the addition of an adjective as well as rather reduces tweet belief. Instance, messages that contain only the key phrase “bitch” without understood adjectives try forecast to possess an awful belief (? = ?.39) since illustrated in the worth of the Intercept (comprehend the very first line of Dining table step three). The latest introduction out of an adjective in one of the 7 classes falls the belief rating getting an effective “bitch” tweet out of between ?.23 to possess conditions in the Old-age classification to help you an optimum of ?.69 to own words about Fat group. For each Overweight variety of adjective, simply put, this new sentiment away from a good tweet to your word “bitch” decrease by the an additional ?.69 activities.

Appearance

Additionally, we consider the possibility that tweets one to demean an excellent female’s appearance are extremely negative, because advised by prior descriptive analyses. Affirmed, texts that features “ugly” otherwise certainly one of the synonyms try constantly some of the most negative tweets across the words datingside kun til Г¦gteskab (come across Tables 3 and you can cuatro). For instance, tweets that are included with an enthusiastic adjective in the Ugly class, whenever put in a great tweet that has an important term “cunt,” have the prominent, and extreme, expands for the negativity of every adjective round the every about three activities (comprehend the vagina line out-of Desk cuatro). For each adjective on Unappealing class, this new belief get from a tweet on the name “cunt” was reduced subsequent because of the more ?dos.0 things. The dimensions of it impact is fairly higher since the brand new set of it is possible to results range regarding ?4 in order to +cuatro. Tweets that are included with a keen adjective in the Fat group as well as exorbitant the brand new negative articles of one’s content, particularly if paired with brand new key phrase “bitch.” We think about the effect from adjectives in the Skinny classification. For many tweets (men and women who has possibly “bitch” or “cunt”), people who have Skinny terminology commonly due to the fact negative just like the those individuals from brand new Over weight group. Really the only exception occurs in texts that has had “slut” otherwise “slut,” in which case the latest outcomes of Obese and you will Skinny adjectives don’t differ significantly.