Standard

Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. / Platonov, Konstantin; Svetlov, Kirill.

Social Computing and Social Media: Experience Design and Social Network Analysis: 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. ed. / Gabriele Meiselwitz. Springer Nature, 2021. p. 323-340 (Lecture Notes in Computer Science; Vol. 12774 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Platonov, K & Svetlov, K 2021, Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. in G Meiselwitz (ed.), Social Computing and Social Media: Experience Design and Social Network Analysis: 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. Lecture Notes in Computer Science, vol. 12774 LNCS, Springer Nature, pp. 323-340, 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021, Virtual, Online, 24/07/21. https://doi.org/10.1007/978-3-030-77626-8_22

APA

Platonov, K., & Svetlov, K. (2021). Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. In G. Meiselwitz (Ed.), Social Computing and Social Media: Experience Design and Social Network Analysis: 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 (pp. 323-340). (Lecture Notes in Computer Science; Vol. 12774 LNCS). Springer Nature. https://doi.org/10.1007/978-3-030-77626-8_22

Vancouver

Platonov K, Svetlov K. Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. In Meiselwitz G, editor, Social Computing and Social Media: Experience Design and Social Network Analysis: 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. Springer Nature. 2021. p. 323-340. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-77626-8_22

Author

Platonov, Konstantin ; Svetlov, Kirill. / Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. Social Computing and Social Media: Experience Design and Social Network Analysis: 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. editor / Gabriele Meiselwitz. Springer Nature, 2021. pp. 323-340 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{4994e68dff2444c590b620ff8f890d73,
title = "Readability of Posts and User Engagement in Online Communities of Government Executive Bodies",
abstract = "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.",
keywords = "Online communities, Political communication, Social media, User engagement",
author = "Konstantin Platonov and Kirill Svetlov",
note = "Platonov K., Svetlov K. (2021) Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. In: Meiselwitz G. (eds) Social Computing and Social Media: Experience Design and Social Network Analysis. HCII 2021. Lecture Notes in Computer Science, vol 12774. Springer, Cham. https://doi.org/10.1007/978-3-030-77626-8_22; 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021 ; Conference date: 24-07-2021 Through 29-07-2021",
year = "2021",
doi = "10.1007/978-3-030-77626-8_22",
language = "English",
isbn = "9783030776251",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "323--340",
editor = "Gabriele Meiselwitz",
booktitle = "Social Computing and Social Media: Experience Design and Social Network Analysis",
address = "Germany",

}

RIS

TY - GEN

T1 - Readability of Posts and User Engagement in Online Communities of Government Executive Bodies

AU - Platonov, Konstantin

AU - Svetlov, Kirill

N1 - Platonov K., Svetlov K. (2021) Readability of Posts and User Engagement in Online Communities of Government Executive Bodies. In: Meiselwitz G. (eds) Social Computing and Social Media: Experience Design and Social Network Analysis. HCII 2021. Lecture Notes in Computer Science, vol 12774. Springer, Cham. https://doi.org/10.1007/978-3-030-77626-8_22

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Online communities

KW - Political communication

KW - Social media

KW - User engagement

UR - http://www.scopus.com/inward/record.url?scp=85112150733&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/41c48126-dac3-3dd4-a144-8fdc7a90e979/

U2 - 10.1007/978-3-030-77626-8_22

DO - 10.1007/978-3-030-77626-8_22

M3 - Conference contribution

AN - SCOPUS:85112150733

SN - 9783030776251

T3 - Lecture Notes in Computer Science

SP - 323

EP - 340

BT - Social Computing and Social Media: Experience Design and Social Network Analysis

A2 - Meiselwitz, Gabriele

PB - Springer Nature

T2 - 13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021

Y2 - 24 July 2021 through 29 July 2021

ER -

ID: 86246735