#inequality #Social Media #Mobile Phone Data

News or social media? Socio-economic divide of mobile service consumption

Authors: Iñaki Ucar, Marco Gramaglia, Marco Fiore, Zbigniew Smoreda, and Esteban Moro Publication: J. R. Soc. Interface (2021). Link Abstract: Reliable and timely information on socio-economic status and divides is critical to social and economic research and policing. Novel data sources from mobile communication platforms have enabled new cost-effective approaches and models to investigate social disparity, but their lack of interpretability, accuracy or scale has limited their relevance to date. ...

#Big Data #Data Science #Gender Gap #Social Media

Analyzing gender inequality through large-scale Facebook advertising data

Authors: David Garcia, Yonas Mitike Kassa, Angel Cuevas, Manuel Cebrian, Esteban Moro, Iyad Rahwan, and Ruben Cuevas Journal: PNAS June 19, 2018. 201717781. LINK Abstract: Online social media are information resources that can have a transformative power in society. While the Web was envisioned as an equalizing force that allows everyone to access information, the digital divide prevents large amounts of people from being present online. Online social media, in particular, are prone to gen- der inequality, an important issue given the link between social media use and employment. ...

#Social Media #Sentiment #Weather

Weather impacts expressed sentiment

Authors: Patrick Baylis, Nick Obradovich, Yury Kryvasheyeu, Haohui Chen, Lorenzo Coviello, Esteban Moro, Manuel Cebrian, James H. Fowler Journal: PLoS ONE 13(4): e0195750 (2018) LINK Abstract: We conduct the largest ever investigation into the relationship between meteorological con- ditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of individuals from both Facebook and Twitter between 2009 and 2016. ...

#social media #Twitter #Facebook #Sensors

Social networks as sensors

Temporal, structural and activity patterns in social networks are related to human behavior. Thus, networks do have different shape and dynamics under different exogenous and endogenous shocks or conditions. In the last years we have addressed the question of whether we can use our understanding of social networks to anticipate, predict or measure important phenomena as information propagation, disaster damage, unemployment shocks, weather conditions, gender digital divide, etc. For example in a series of papers, we demonstrated for the first time the ability of the so-called “friendship paradox” in social networks to get better collection of users (sensors) that can anticipate meme, news or event-related information propagation in networks. ...

#Social Media #Disaster #Twitter

Rapid assessment of disaster damage using social media activity

Authors: Yury Kryvasheyeu1, Haohui Chen, Nick Obradovich, Esteban Moro, Pascal Van Hentenryck, James Fowler and Manuel Cebrian Journal: Science Advances 11 Mar 2016: Vol. 2, no. 3, e1500779 (2016) LINK Abstract: Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and an increasing intensity of natural disasters resulting from climate change. During such events, citizens turn to social media platforms for disaster-related communication and information. ...