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Familiist (pro-natalist) communities in the social network VKontakte

<p>The database contains an upload of text comments in Russian from the social networkVkontakte in <strong>.csv format (UTF-8 encoding). </strong>Comments are collected from communities,&nbsp;which discuss pregnancy, childhood, motherhood, paternity, etc. The unloading contains comments under the posts with which the interaction took place. The absolute&nbsp;amount of likes was used as a criterion, (comments were collected where the number of likes is greater than or equal to 5). The text data was processed (stemmization and lemmatization).&nbsp;The data are suitable for thematic analysis (e.g. LDA - Latent Dirichlet Allocation), for modelling the graph structure of communities (the link_comment variable&nbsp;contains a unique identifier of the post, link_author contains a unique user identifier), for analysis of the tonalities of statements and forming a&nbsp;dictionary of demographic connotation.&nbsp;</p> <p>Sample Information:</p> <p>- Number of communities 38&nbsp;</p> <p>- Content type of communities: communities in which users are mainly positive about the birth of children, motherhood, parenthood and own family are selected. But users (communities) with anti-familistic biases may be encountered.&nbsp;&nbsp;&nbsp;&nbsp;</p> <p>- Only comments with the number of likes &gt;= 5 are collected&nbsp;</p> <p>- Comments are collected only from communities (the list of communities below) discussing issues related to childhood, motherhood, pregnancy, etc.&nbsp;</p> <p>- A sample of communities on average contains 309 thousand subscribers (maximum value - 1,482,303, minimum value - 72,570, total number of subscribers&nbsp;excluding intersections - 11,743 295)&nbsp;</p> <p>- The sample of comments contains 112,900 user comments&nbsp;</p> <p>Sample Structure:&nbsp;</p> <p>link_author - link to the author of the comment in the form of https://vk.com/*author identificator*&nbsp;</p> <p>gender of author (F - female, M - male, NaN - no data)&nbsp;</p> <p>link_comment - link to comment in the form of https://vk.com/* post identificatior on a *community wall*?reply=*comment id *&nbsp;</p> <p>date_time - date and time of publication (format &ldquo;YYYY-MM-DD HH:MM:SS&rdquo;)&nbsp;</p> <p>text - raw comment text&nbsp;</p> <p>likes - number of likes the comment has&nbsp;</p> <p>text_prep - processed text (punctuation marks removed, words brought down to lowercase)&nbsp;</p> <p>text_stem - processed text (based on the text_prep column stemmization using SnowBallstemmer (&ldquo;Russian&rdquo;) of the nltk library) is performed&nbsp;</p> <p>text_sw - processed text (based on the text_prep column stop words are deleted using word_tokenize (text) of the nltk library)&nbsp;</p> <p>text_lemm - processed text (lemmatization using mystem.lemmatize (text) of pymystem3 library is performed based on the text_prep column)&nbsp;</p> <p>List of communities (38 communities):</p> <p>https://vk.com/club52388302</p> <p>https://vk.com/club34677924</p> <p>https://vk.com/club99834596</p> <p>https://vk.com/club170234932</p> <p>https://vk.com/club20199180</p> <p>https://vk.com/club118030893</p> <p>https://vk.com/club14395935</p> <p>https://vk.com/club100104267</p> <p>https://vk.com/club181526404</p> <p>https://vk.com/club35095382</p> <p>https://vk.com/club58530763</p> <p>https://vk.com/club69716165</p> <p>https://vk.com/club29746763</p> <p>https://vk.com/club78865067</p> <p>https://vk.com/club20709572</p> <p>https://vk.com/club93466205</p> <p>https://vk.com/club61700163</p> <p>https://vk.com/club91423062</p> <p>https://vk.com/club69285929</p> <p>https://vk.com/club104012302</p> <p>https://vk.com/club20622108</p> <p>https://vk.com/club86333616</p> <p>https://vk.com/club24765</p> <p>https://vk.com/club87169444</p> <p>https://vk.com/club86688308</p> <p>https://vk.com/club93776129</p> <p>https://vk.com/club47207301</p> <p>https://vk.com/club39873171</p> <p>https://vk.com/club59224150</p> <p>https://vk.com/club7430494</p> <p>https://vk.com/club37739956</p> <p>https://vk.com/club59701255</p> <p>https://vk.com/club27427277</p> <p>https://vk.com/club126238531</p> <p>https://vk.com/club127678644</p> <p>https://vk.com/club57782234</p> <p>https://vk.com/club51314884</p> <p>https://vk.com/club134261249</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

Topics

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