Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
The article deals with the question of the link between readability and engagement rates on social media. On one hand, easy-to-read texts can be useful to attract and involve broader audience, but on the other hand, texts which draw attention and spark discussions often tend to be complex, controversial, even sophisticated, and consequentially less readable. Our database consisted of 115245 posts retrieved from social networking site VKontakte, the most popular SNS in Russia. The sample included all publicly available posts in online communities of 47 Russian state bodies: ministries, federal services and federal agencies published from 01.01.2017 to 16.09.2020. For each post, engagement rate (ER) and 79 other metrics of the texts were calculated. Gradient Boosted Decision Trees were used to build the regression model which took into account all the features including 10 different readability metrics and other measures, such as topics, linguistic characteristics, sentiment and so on. As a result, the most significant factors were the variables determining the presence of certain topics. All readability scores were weak predictors of engagement rate. And furthermore, our data provided no evidence that topics can help to increase ER, but only the topics causing lowering of ER. Using correlation analysis, we showed that in the case of communication strategies in online communities in social network VKontakte, the readability of posts is not directly related to engagement rates.
Язык оригинала | английский |
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Название основной публикации | Social Computing and Social Media: Experience Design and Social Network Analysis |
Подзаголовок основной публикации | 13th International Conference, SCSM 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I |
Редакторы | Gabriele Meiselwitz |
Издатель | Springer Nature |
Страницы | 323-340 |
Число страниц | 18 |
ISBN (печатное издание) | 9783030776251 |
DOI | |
Состояние | Опубликовано - 2021 |
Событие | 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021 - Virtual, Online Продолжительность: 24 июл 2021 → 29 июл 2021 |
Название | Lecture Notes in Computer Science |
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Том | 12774 LNCS |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021 |
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Город | Virtual, Online |
Период | 24/07/21 → 29/07/21 |
ID: 86246735