A survey of location prediction on twitter

X Zheng, J Han, A Sun - IEEE Transactions on Knowledge and …, 2018 - ieeexplore.ieee.org
Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Geolocation prediction in twitter using social networks: A critical analysis and review of current practice

D Jurgens, T Finethy, J McCorriston, Y Xu… - Proceedings of the …, 2015 - ojs.aaai.org
Geolocated social media data provides a powerful source of information about place and
regional human behavior. Because little social media data is geolocation-annotated …

Gaining insights from social media language: Methodologies and challenges.

ML Kern, G Park, JC Eichstaedt, HA Schwartz… - Psychological …, 2016 - psycnet.apa.org
Abstract Language data available through social media provide opportunities to study
people at an unprecedented scale. However, little guidance is available to psychologists …

Semi-supervised user geolocation via graph convolutional networks

A Rahimi, T Cohn, T Baldwin - arXiv preprint arXiv:1804.08049, 2018 - arxiv.org
Social media user geolocation is vital to many applications such as event detection. In this
paper, we propose GCN, a multiview geolocation model based on Graph Convolutional …

A survey on privacy in social media: Identification, mitigation, and applications

G Beigi, H Liu - ACM Transactions on Data Science, 2020 - dl.acm.org
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

Unifying text, metadata, and user network representations with a neural network for geolocation prediction

Y Miura, M Taniguchi, T Taniguchi… - Proceedings of the 55th …, 2017 - aclanthology.org
We propose a novel geolocation prediction model using a complex neural network.
Geolocation prediction in social media has attracted many researchers to use information of …

Identifying user geolocation with hierarchical graph neural networks and explainable fusion

F Zhou, T Wang, T Zhong, G Trajcevski - Information Fusion, 2022 - Elsevier
Determining user geolocation from social media data is essential in various location-based
applications—from improved transportation/supply management, through providing …

Privacy in social media: Identification, mitigation and applications

G Beigi, H Liu - arXiv preprint arXiv:1808.02191, 2018 - arxiv.org
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …

An overview of microblog user geolocation methods

X Luo, Y Qiao, C Li, J Ma, Y Liu - Information processing & management, 2020 - Elsevier
Geographical locations of microblog users are essential for user profiling, event localization
and target advertising, to name a few. Automatic identification of user locations from the …

Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study

M Manca, L Boratto, VM Roman, OM i Gallissà… - Online social networks …, 2017 - Elsevier
The knowledge of the urban mobility is a crucial aspect for city planners and administrators.
The huge amount of geo-spatial data, generated by the combination of social media systems …