The voice of Twitter: observable subjective well-being inferred
Por um escritor misterioso
Descrição
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.

Improving Sentiment Classification Performance through Coaching Architectures

An investigation on social impact performance assessment of the social enterprises: Identification of an ideal social entrepreneurship model - Nuchian - Business Strategy & Development - Wiley Online Library

Relationships Among Self-Reported Hearing Problems, Psychological Distress, and Cardiovascular Disease in U.S. Adults, National Health Interview Survey 1997–2017

Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness

The voice of Twitter: observable subjective well-being inferred from tweets in Russian

Circadian mood variations in Twitter content - Fabon Dzogang, Stafford Lightman, Nello Cristianini, 2017
Recent Developments in Wearable NEMS/MEMS-Based Smart Infrared Sensors for Healthcare Applications

Systems, Free Full-Text

Formalising social representation to explain psychiatric symptoms: Trends in Cognitive Sciences
Full article: A social influence perspective on expressive political participation in Twitter: the case of #OccupyGezi

Developing insights from the collective voice of target users in Twitter, Journal of Big Data
How to Measure and Operationalize Subjective Well-Being

Smartphone and Internet Usage Could Provide Insights Into Behaviour and Mental Health, by Simon D'Alfonso

AMA December 2023 – Sean Carroll
de
por adulto (o preço varia de acordo com o tamanho do grupo)