Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

Computational socioeconomics

J Gao, YC Zhang, T Zhou - Physics Reports, 2019 - Elsevier
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

A multi-source dataset of urban life in the city of Milan and the Province of Trentino

G Barlacchi, M De Nadai, R Larcher, A Casella… - Scientific data, 2015 - nature.com
The study of socio-technical systems has been revolutionized by the unprecedented amount
of digital records that are constantly being produced by human activities such as accessing …

Ethics sheet for automatic emotion recognition and sentiment analysis

SM Mohammad - Computational Linguistics, 2022 - direct.mit.edu
The importance and pervasiveness of emotions in our lives makes affective computing a
tremendously important and vibrant line of work. Systems for automatic emotion recognition …

Sensing trending topics in Twitter

LM Aiello, G Petkos, C Martin, D Corney… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Online social and news media generate rich and timely information about real-world events
of all kinds. However, the huge amount of data available, along with the breadth of the user …

[HTML][HTML] The geography of Twitter topics in London

G Lansley, PA Longley - Computers, Environment and Urban Systems, 2016 - Elsevier
Social media data are increasingly perceived as alternative sources to public attitude
surveys because of the volume of available data that are time-stamped and (sometimes) …

Understanding and measuring psychological stress using social media

SC Guntuku, A Buffone, K Jaidka… - Proceedings of the …, 2019 - ojs.aaai.org
A body of literature has demonstrated that users' mental health conditions, such as
depression and anxiety, can be predicted from their social media language. There is still a …

Daily stress recognition from mobile phone data, weather conditions and individual traits

A Bogomolov, B Lepri, M Ferron, F Pianesi… - Proceedings of the …, 2014 - dl.acm.org
Research has proven that stress reduces quality of life and causes many diseases. For this
reason, several researchers devised stress detection systems based on physiological …

Characterizing dietary choices, nutrition, and language in food deserts via social media

M De Choudhury, S Sharma, E Kiciman - … of the 19th acm conference on …, 2016 - dl.acm.org
Social media has emerged as a promising source of data for public health. This paper
examines how these platforms can provide empirical quantitative evidence for …

Measuring urban social diversity using interconnected geo-social networks

D Hristova, MJ Williams, M Musolesi… - Proceedings of the 25th …, 2016 - dl.acm.org
Large metropolitan cities bring together diverse individuals, creating opportunities for
cultural and intellectual exchanges, which can ultimately lead to social and economic …