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10 < 0.05 θ = 1.96 = 1.64 = 1.66 = 0.96 = 0.82
11 Geographical distribution of English tweets (gender-induced data) Proportion of gendered tweets in English, May Contexts of the Present Research 70 2 Data Collection and Processing Data Collection Gender Disambiguation PoS Tagging Proportion Analysis Language Profile Correlation of Grammatical Features and Gender Principal Components Analysis Summary and Conclusion Feature Dispersion I Many tweets from Denmark and Norway are in English - from rural Sweden, Finland or Iceland less so (Iceland values averaged across all provinces) Coats Grammar and Gender Nordic Twitter English 11/32
12 T test statistic p value = 0.05 p value = 0.05 Feature more male Feature more female '' LRB RRB,. : CC CD DT HT IN JJ JJR JJS MD NN NNP NNS PRP PRP$ RB RP TO UH USR VB VBD VBG VBN VBP VBZ WDT WP WRB Feature
13 Proportion of all users females males female male Mean = Median = Std. dev = t test p value = 0 Cohen's d = 0.2 ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff m Percent period Proportion of all users females males female male Mean = Median = Std. dev = ffffffffff t test p value = fffffffffffffffffffffffffffff Cohen's d = 0.1 fffffffffffffffffffffffffffffffffffffffffffffffffffffffff fm Percent determiner Proportion of all users females males female male Mean = Median = Std. dev = t test p value = Cohen's d = 0.09 f mf Percent preposition Proportion of all users females males female male Mean = Median = Std. dev = t test p value = Cohen's d = 0.09 mmmm fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff m Percent proper noun Proportion of all users females males female male Mean = m mmm Median = m Std. dev = t test p value = 0 Cohen's d = 0.24 fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff m Percent personal pronoun Proportion of all users m mmmm females males mmmmmm m mm m f fffffff f mm female male m Mean = fffff mm Median = 0 0 mf mmmm fff Std. dev = t test p value = f Cohen's d = 0.1 fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff m Percent adverb Proportion of all users mm mmm females m mm males m m m m m female male m Mean = mm Median = Std. dev = f ffffffffffffff m mmm t test p value = 0 f Cohen's d = 0.21 m mmmmmmmmmmmmm fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff m Proportion of all users females males female male Mean = Median = Std. dev = t test p value = Cohen's d = 0.11 mmmm mmmmmmmmmmmmmmmmmmm ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff m Proportion of all users mf f f m ff females m mf males ff m m mf m m ff female male mm Mean = f m fff Median = 0 0 mm Std. dev = f t test p value = 0 Cohen's d = 0.17 fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff fm Percent interjection Percent username Percent verb, non 3rd person singular present
14 2 PCA of Gendered Subcorpora, Components 1 and 2 no.m PC2, Proportion of Variance = % fi.m sv.m da.m da.f fi.f sv.f no.f is.m is.f PC1, Proportion of Variance = %
15 no.f is.f sv.f fi.f PC da.f da.m no.m sv.m fi.m 0.04 is.m Frequency per 1000 tokens Period (.?!)
16 no.f fi.f is.f sv.f PC da.f sv.m da.m no.m fi.m 0.04 is.m Frequency per 1000 tokens Number
17 no.f is.f sv.f fi.f PC sv.m no.m da.f da.m fi.m 0.04 is.m Frequency per 1000 tokens Proper noun
18 fi.f sv.f no.f is.f PC no.m da.m sv.m da.f fi.m 0.04 is.m Frequency per 1000 tokens Personal pronoun
19 fi.f no.f is.f sv.f PC da.m no.m sv.m da.f fi.m 0.04 is.m Frequency per 1000 tokens Possessive pronoun
20 is.f no.f sv.f fi.f PC no.m da.f da.msv.m fi.m 0.04 is.m Frequency per 1000 tokens Adverb
21 is.f fi.f no.f sv.f PC sv.m da.m no.m da.f fi.m 0.04 is.m Frequency per 1000 tokens Interjection
22 sv.f fi.f no.f is.f PC da.m sv.m no.m da.f fi.m 0.04 is.m Frequency per 1000 tokens Verb, base form
23 no.f is.f sv.f fi.f PC da.f da.m no.m sv.m fi.m 0.04 is.m Frequency per 1000 tokens Verb, past participle
24 fi.f is.f sv.f no.f PC da.m no.m sv.m da.f fi.m 0.04 is.m Frequency per 1000 tokens Verb, non 3rd person singular present
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