Social media data is widely analyzed in computational social science. Twitter, one of the largest social media platforms, is used for research, journalism, business, and government …
One of the main obstacles, hampering method development and comparative evaluation of named entity recognition in social media, is the lack of a sizeable, diverse, high quality …
F Morstatter, H Liu - Online Social Networks and Media, 2017 - Elsevier
Social media has generated a wealth of data. Billions of people tweet, sharing, post, and discuss everyday. Due to this increased activity, social media platforms provide new …
Previous literature has considered the relevance of Twitter to journalism, for example as a tool for reporters to collect information and for organizations to disseminate news to the …
A Hino, RA Fahey - International journal of information management, 2019 - Elsevier
The rising popularity of social media posts, most notably Twitter posts, as a data source for social science research poses significant problems with regard to access to representative …
S Wu, MA Rizoiu, L Xie - … of the international AAAI conference on web …, 2020 - ojs.aaai.org
A comprehensive understanding of data quality is the cornerstone of measurement studies in social media research. This paper presents in-depth measurements on the effects of …
Y Kim, R Nordgren, S Emery - International Journal of Environmental …, 2020 - mdpi.com
Public health and social science increasingly use Twitter for behavioral and marketing surveillance. However, few studies provide sufficient detail about Twitter data collection to …
Social media affects not only the way we consume news, but also the way news is produced, including by traditional media outlets. In this paper, we study the propagation of information …
We examine the impact of a new tool for digital repression—a daily tax on social media use in Uganda. Using a synthetic control framework and exploiting the exogenous timing of the …