Attitude of Russians to the topic of material well-being: analysis of comments in social media DOI Open Access
Maria Milkova, Владимир Самуилович Магун, Marharyta Fabrykant

et al.

Published: Nov. 24, 2023

The current study is a content analysis of news comments posted on the Russian social network VKontakte to investigate expression opinions material well-being. Based NLP methods, we analyze main groups expression, which are considered in context formulating evaluations and appealing norms. We discourse at micro-level; how attitudes towards topic well-being expressed through evaluative normative statements; identify key actors discussions. shows prevalence generalized statements, consider their country people as whole, opposed outside world. most significant problems, such price growth, unemployment, not actively discussed. One's own situation usually characterized by neutral or positive assessments, while judgment about life "Russian people" predominantly assessed negatively. It shown that basis negative assessment state affairs person appeals norm. A share statements prescriptions, less connected with references specific individuals organizations. Thus, discussions do show any tendency for citizens impute country's leadership obligation take measures change best.

Language: Английский

Assessment of street space quality and subjective well-being mismatch and its impact, using multi-source big data DOI
Shuang Ma, Biyan Wang, Wei Liu

et al.

Cities, Journal Year: 2024, Volume and Issue: 147, P. 104797 - 104797

Published: Jan. 19, 2024

Language: Английский

Citations

14
How weather impacts expressed sentiment in Russia: evidence from Odnoklassniki DOI Creative Commons
Sergey Smetanin

PeerJ Computer Science, Journal Year: 2022, Volume and Issue: 8, P. e1164 - e1164

Published: Nov. 18, 2022

Prior research suggests that weather conditions may substantively impact people's emotional state and mood. In Russia, the relationship between mood has been studied for certain regions-usually with severe or extreme climatic conditions-but quite limited samples of up to 1,000 people. Over past decade, partly due proliferation online social networks development natural language processing techniques, become possible study based on sentiment expressed by individuals. One key advantages such studies digital traces is it analyze much larger people in comparison traditional survey-based studies. this article, we investigate historical seven Russian cities data one largest networks, Odnoklassniki. We constructed a daily city-level positive metric 2.76 million posts published 1.31 unique users from Odnoklassniki its dynamics relative via regression modelling. It was found maximum temperature +20 °C +25 °C, light breeze (between 5 11 km/h) an increase average 20-25 compared previous day are all associated higher numbers expressions sentiment, whereas difference minimum temperatures 15-20 lower sentiment.

Language: Английский

Citations

4
Macroeconomic Needles and Sustainable Development Goal’s Number Three in Nigeria DOI
Hussaini Bala,

Ghousia Khatoon,

Yusuf Ja’afaru

et al.

Integrated science, Journal Year: 2024, Volume and Issue: unknown, P. 425 - 445

Published: Jan. 1, 2024

Language: Английский

Citations

0
The voice of Twitter: observable subjective well-being inferred from tweets in Russian DOI Creative Commons
Sergey Smetanin, Mikhail Komarov

PeerJ Computer Science, Journal Year: 2022, Volume and Issue: 8, P. e1181 - e1181

Published: Dec. 20, 2022

As one of the major platforms communication, social networks have become a valuable source opinions and emotions. Considering that sharing emotions offline online is quite similar, historical posts from seem to be data for measuring observable subjective well-being (OSWB). In this study, we calculated OSWB indices Russian-speaking segment Twitter using Affective Social Data Model Socio-Technical Interactions. This model utilises demographic information post-stratification techniques make sample representative, by selected characteristics, general population country. For sentiment analysis, fine-tuned RuRoBERTa-Large on RuSentiTweet achieved new state-of-the-art results F1 = 0.7229. Several indicators demonstrated moderate Spearman's correlation with traditional survey-based net affect (rs 0.469 rs 0.5332, p < 0.05) positive 0.5177 0.548, in Russia.

Language: Английский

Citations

1
Attitude of Russians to the topic of material well-being: analysis of comments in social media DOI Open Access
Maria Milkova, Владимир Самуилович Магун, Marharyta Fabrykant

et al.

Published: Nov. 24, 2023

The current study is a content analysis of news comments posted on the Russian social network VKontakte to investigate expression opinions material well-being. Based NLP methods, we analyze main groups expression, which are considered in context formulating evaluations and appealing norms. We discourse at micro-level; how attitudes towards topic well-being expressed through evaluative normative statements; identify key actors discussions. shows prevalence generalized statements, consider their country people as whole, opposed outside world. most significant problems, such price growth, unemployment, not actively discussed. One's own situation usually characterized by neutral or positive assessments, while judgment about life "Russian people" predominantly assessed negatively. It shown that basis negative assessment state affairs person appeals norm. A share statements prescriptions, less connected with references specific individuals organizations. Thus, discussions do show any tendency for citizens impute country's leadership obligation take measures change best.

Language: Английский

Citations

0