Mining social media for newsgathering: A review

A Zubiaga - Online Social Networks and Media, 2019 - Elsevier
Social media is becoming an increasingly important data source for learning about breaking
news and for following the latest developments of ongoing news. This is in part possible …

[HTML][HTML] Soft City Sensing: A turn to computational humanities in data-driven urbanism

AK Madsen, A Grundtvig, S Thorsen - Cities, 2022 - Elsevier
Data-driven urbanism is often entangled with the smart city and practiced in a way that
prioritizes control over physical objects and downplays the human and political aspects of …

Citybeat: Real-time social media visualization of hyper-local city data

C **a, R Schwartz, K **e, A Krebs, A Langdon… - Proceedings of the 23rd …, 2014 - dl.acm.org
With the increasing volume of location-annotated content from various social media
platforms like Twitter, Instagram and Foursquare, we now have real-time access to people's …

[PDF][PDF] State-of-the-Art Report of Visual Analysis for Event Detection in Text Data Streams.

F Wanner, A Stoffel, D Jäckle, BC Kwon, A Weiler… - EuroVis (STARs …, 2014 - bib.dbvis.de
Event detection from text data streams has been a popular research area in the past decade.
Recently, the evolution of microblogging and social network services opens up great …

A review of usage and applications of social media analytics.

SS Madila, MA Dida, S Kaijage - 2021 - 41.59.211.104
This paper presents the report of a social media analytics (SMA) review. The review
conducted to find out the methods and tools used in social media analytics, types of social …

Survey and experimental analysis of event detection techniques for twitter

A Weiler, M Grossniklaus, MH Scholl - The Computer Journal, 2017 - academic.oup.com
Twitter's popularity as a source of up-to-date news and information is constantly increasing.
In response to this trend, numerous event detection techniques have been proposed to cope …

An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities …

G Kousiouris, A Akbar, J Sancho, P Ta-Shma… - Future Generation …, 2018 - Elsevier
With the current availability of an extreme diversity of data sources and services, emerging
from the Internet of Things and Cloud domains, the challenge is shifted towards identifying …

Crowdstory: Fine-grained event storyline generation by fusion of multi-modal crowdsourced data

B Guo, Y Ouyang, C Zhang, J Zhang, Z Yu… - Proceedings of the …, 2017 - dl.acm.org
Event summarization based on crowdsourced microblog data is a promising research area,
and several researchers have recently focused on this field. However, these previous works …

Editorial algorithms: Using social media to discover and report local news

R Schwartz, M Naaman, R Teodoro - Proceedings of the International …, 2015 - ojs.aaai.org
The role of algorithms in the detection, curation and broadcast of news is becoming
increasingly prevalent. To better understand this role we developed CityBeat, a system that …

Open-domain extraction of future events from Twitter

F Kunneman, A Van Den Bosch - Natural Language Engineering, 2016 - cambridge.org
Explicit references on Twitter to future events can be leveraged to feed a fully automatic
monitoring system of real-world events. We describe a system that extracts open-domain …