Over the last decade, social media has emerged as a valuable tool for reflecting societal dynamics. As people spend more time online, their online traces become a window into their behaviour, choices, curiosity, whereabouts, and opinions. This study leverages a dataset of 486 million messages collected from Twitter (now X) between 2017 and 2020 to explore the potential of social media platforms as a mirror for migration trends, as reflected in the posts of users. We examine correlations between migration-related discussions on Twitter and official United Nations (UN) data, identifying significant alignments that validate the platform's utility in tracking migration dynamics. Through event detection, we highlight the responsiveness of social media to key migration events, demonstrating its value as a real-time sensor of societal reactions. Additionally, we investigate the impact of the COVID-19 pandemic on migration-related discourse, revealing shifts in public sentiment and focus during this global crisis. Our findings underscore the significant role of social media in complementing traditional data sources, providing timely insights into migration trends and public perceptions, and, in the case of COVID-19, the impact of exogenous shocks on online discourse.

Over the last decade, social media has emerged as a valuable tool for reflecting societal dynamics. As people spend more time online, their online traces become a window into their behaviour, choices, curiosity, whereabouts, and opinions. This study leverages a dataset of 486 million messages collected from Twitter (now X) between 2017 and 2020 to explore the potential of social media platforms as a mirror for migration trends, as reflected in the posts of users. We examine correlations between migration-related discussions on Twitter and official United Nations (UN) data, identifying significant alignments that validate the platform's utility in tracking migration dynamics. Through event detection, we highlight the responsiveness of social media to key migration events, demonstrating its value as a real-time sensor of societal reactions. Additionally, we investigate the impact of the COVID-19 pandemic on migration-related discourse, revealing shifts in public sentiment and focus during this global crisis. Our findings underscore the significant role of social media in complementing traditional data sources, providing timely insights into migration trends and public perceptions, and, in the case of COVID-19, the impact of exogenous shocks on online discourse.

This dataset supports the analysis presented in the manuscript “Validating Urban Scaling Laws through Mobile Phone Data: A Continental-Scale Analysis of Brazil’s Largest Cities”. The dataset includes metrics on user interactions (call-based degrees), mobility (inferred trips between antennas), and telecommunications infrastructure (number of antennas). All data were processed to preserve privacy and comply with ethical standards.

This dataset supports the analysis presented in the manuscript “Validating Urban Scaling Laws through Mobile Phone Data: A Continental-Scale Analysis of Brazil’s Largest Cities”. The dataset includes metrics on user interactions (call-based degrees), mobility (inferred trips between antennas), and telecommunications infrastructure (number of antennas). All data were processed to preserve privacy and comply with ethical standards.

The dataset, anonymized to protect privacy, contains information from the STEM department of a Brazilian university, covering seven major research areas declared by faculty members who are current or former participants in the postgraduate program.

The dataset, anonymized to protect privacy, contains information from the STEM department of a Brazilian university, covering seven major research areas declared by faculty members who are current or former participants in the postgraduate program.

Dataset from the Dark Net Operation, an inquiry of the Brazilian Federal Police which tracked a child-pornography forum in the Tor network. With two phases, the investigation lasted from 2014 to 2016 and resulted in hundreds of search warrants and in almost 70 arrests, with 6 children rescued from abusive situations. On the on-line forum, the users exchanged child abuse media and sexual abuse experiences. The data from the online forum acquired by the Brazilian Federal Police was structured inside 67 categories, containing a total of 9,367 posts and 6,248,719 views made by 9,280 users. Inside the posts, users express their opinion and share CSEM content. The CSEM were often shared as an external link (URLs) to encrypted files containing photos and videos, but sometimes users upload CSEM directly inside their posts. The direct upload of files inside posts summarises 789 CSEM files. Every post, is associated with an identifier, user, category and the date/time when it was posted. Similarly, every view can be mapped to a user, post and the date/time when the post was viewed.

Dataset from the Dark Net Operation, an inquiry of the Brazilian Federal Police which tracked a child-pornography forum in the Tor network. With two phases, the investigation lasted from 2014 to 2016 and resulted in hundreds of search warrants and in almost 70 arrests, with 6 children rescued from abusive situations. On the on-line forum, the users exchanged child abuse media and sexual abuse experiences. The data from the online forum acquired by the Brazilian Federal Police was structured inside 67 categories, containing a total of 9,367 posts and 6,248,719 views made by 9,280 users. Inside the posts, users express their opinion and share CSEM content. The CSEM were often shared as an external link (URLs) to encrypted files containing photos and videos, but sometimes users upload CSEM directly inside their posts. The direct upload of files inside posts summarises 789 CSEM files. Every post, is associated with an identifier, user, category and the date/time when it was posted. Similarly, every view can be mapped to a user, post and the date/time when the post was viewed.