The voice of Twitter: observable subjective well-being inferred
Por um escritor misterioso
Last updated 18 fevereiro 2025
![The voice of Twitter: observable subjective well-being inferred](https://dfzljdn9uc3pi.cloudfront.net/2022/cs-1181/1/fig-3-full.png)
As one of the major platforms of communication, social networks have become a valuable source of opinions and emotions. Considering that sharing of emotions offline and online is quite similar, historical posts from social networks seem to be a valuable source of data for measuring observable subjective well-being (OSWB). In this study, we calculated OSWB indices for the Russian-speaking segment of Twitter using the Affective Social Data Model for Socio-Technical Interactions. This model utilises demographic information and post-stratification techniques to make the data sample representative, by selected characteristics, of the general population of a country. For sentiment analysis, we fine-tuned RuRoBERTa-Large on RuSentiTweet and achieved new state-of-the-art results of F1 = 0.7229. Several calculated OSWB indicators demonstrated moderate Spearman’s correlation with the traditional survey-based net affect (rs = 0.469 and rs = 0.5332, p < 0.05) and positive affect (rs = 0.5177 and rs = 0.548, p < 0.05) indices in Russia.
![The voice of Twitter: observable subjective well-being inferred](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs13278-021-00815-2/MediaObjects/13278_2021_815_Fig7_HTML.png)
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![The voice of Twitter: observable subjective well-being inferred](https://www.mdpi.com/mathematics/mathematics-10-02947/article_deploy/html/images/mathematics-10-02947-g007.png)
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![The voice of Twitter: observable subjective well-being inferred](https://i1.rgstatic.net/ii/profile.image/11431281183221526-1692785753112_Q64/Valeriy-Sydorenko.jpg)
The voice of Twitter: observable subjective well-being inferred from tweets in Russian
![The voice of Twitter: observable subjective well-being inferred](https://www.mdpi.com/mathematics/mathematics-10-02947/article_deploy/html/images/mathematics-10-02947-g005.png)
Mathematics, Free Full-Text
![The voice of Twitter: observable subjective well-being inferred](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs13278-021-00815-2/MediaObjects/13278_2021_815_Fig10_HTML.png)
Amplifying influence through coordinated behaviour in social networks
![The voice of Twitter: observable subjective well-being inferred](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41583-022-00609-1/MediaObjects/41583_2022_609_Fig1_HTML.png)
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![The voice of Twitter: observable subjective well-being inferred](https://0.academia-photos.com/attachment_thumbnails/55256796/mini_magick20190114-28882-bke3en.png?1547527784)
PDF) Inferring social behavior and interaction on twitter by combining metadata about users & messages
![The voice of Twitter: observable subjective well-being inferred](https://www.cell.com/cms/attachment/a85bd3eb-4177-4a50-bd1e-a6bfe4173603/b1_lrg.jpg)
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![The voice of Twitter: observable subjective well-being inferred](https://www.researchgate.net/publication/339959122/figure/fig1/AS:1150380721344514@1651283545660/Distribution-of-trust-and-belonging-trudocumentclass12ptminimal.png)
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Full article: Peer-Reviewed Abstracts
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Amplifying influence through coordinated behaviour in social networks
![The voice of Twitter: observable subjective well-being inferred](https://www.frontiersin.org/files/Articles/984651/fcomm-07-984651-HTML/image_m/fcomm-07-984651-t004.jpg)
Frontiers Pre-suasive and persuasive strategies in the tweets of the Saudi Ministry of Health during the 2020 coronavirus pandemic: A corpus linguistic exploration
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