An advanced systematic literature review on spatiotemporal analyses of t witter data

E Steiger, JP De Albuquerque, A Zipf - Transactions in GIS, 2015 - Wiley Online Library
The objective of this article is to conduct a systematic literature review that provides an
overview of the current state of research concerning methods and application for …

Mining location from social media: A systematic review

K Stock - Computers, Environment and Urban Systems, 2018 - Elsevier
During the last ten years, a large body of research extracting and analysing geographic data
from social media has developed. We analyse 690 papers across 20 social media platforms …

Fake news on Twitter during the 2016 US presidential election

N Grinberg, K Joseph, L Friedland, B Swire-Thompson… - Science, 2019 - science.org
The spread of fake news on social media became a public concern in the United States after
the 2016 presidential election. We examined exposure to and sharing of fake news by …

[HTML][HTML] Machine learning to detect self-reporting of symptoms, testing access, and recovery associated with COVID-19 on Twitter: retrospective big data infoveillance …

T Mackey, V Purushothaman, J Li… - JMIR public health …, 2020 - publichealth.jmir.org
Background: The coronavirus disease (COVID-19) pandemic is a global health emergency
with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is …

Spontaneous collective action: Peripheral mobilization during the Arab Spring

ZC Steinert-Threlkeld - American Political Science Review, 2017 - cambridge.org
Who is responsible for protest mobilization? Models of disease and information diffusion
suggest that those central to a social network (the core) should have a greater ability to …

Scientists on Twitter: Preaching to the choir or singing from the rooftops?

IM Côté, ES Darling - Facets, 2018 - facetsjournal.com
There have been strong calls for scientists to share their discoveries with society. Some
scientists have heeded these calls through social media platforms such as Twitter. Here, we …

[HTML][HTML] Big data, natural language processing, and deep learning to detect and characterize illicit COVID-19 product sales: Infoveillance study on Twitter and …

TK Mackey, J Li, V Purushothaman… - JMIR public health …, 2020 - publichealth.jmir.org
Background: The coronavirus disease (COVID-19) pandemic is perhaps the greatest global
health challenge of the last century. Accompanying this pandemic is a parallel “infodemic,” …

The twitter of babel: Map** world languages through microblogging platforms

D Mocanu, A Baronchelli, N Perra, B Gonçalves… - PloS one, 2013 - journals.plos.org
Large scale analysis and statistics of socio-technical systems that just a few short years ago
would have required the use of consistent economic and human resources can nowadays …

Home location identification of twitter users

J Mahmud, J Nichols, C Drews - ACM transactions on intelligent systems …, 2014 - dl.acm.org
We present a new algorithm for inferring the home location of Twitter users at different
granularities, including city, state, time zone, or geographic region, using the content of …

Emoticon style: Interpreting differences in emoticons across cultures

J Park, V Barash, C Fink, M Cha - … AAAI conference on web and social …, 2013 - ojs.aaai.org
Emoticons are a key aspect of text-based communication, and are the equivalent of
nonverbal cues to the medium of online chat, forums, and social media like Twitter. As …