Social data: Biases, methodological pitfalls, and ethical boundaries

A Olteanu, C Castillo, F Diaz, E Kıcıman - Frontiers in big data, 2019 - frontiersin.org
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

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 …

Venue link detection for social media messages

F Chen, B Cao, YY Chen, D Joshi - US Patent 10,318,884, 2019 - Google Patents
A method associates social media messages with venues. A social network graph includes
users, messages from users, and venues. The venues include multiple primary venues and …

Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

Location reference identification from tweets during emergencies: A deep learning approach

A Kumar, JP Singh - International journal of disaster risk reduction, 2019 - Elsevier
Twitter is recently being used during crises to communicate with officials and provide rescue
and relief operation in real time. The geographical location information of the event, as well …

A survey of location inference techniques on Twitter

O Ajao, J Hong, W Liu - Journal of Information Science, 2015 - journals.sagepub.com
The increasing popularity of the social networking service, Twitter, has made it more
involved in day-to-day communications, strengthening social relationships and information …

GazPNE2: A general place name extractor for microblogs fusing gazetteers and pretrained transformer models

X Hu, Z Zhou, Y Sun, J Kersten, F Klan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The concept of “human as sensors” defines a new sensing model, in which humans act as
sensors by contributing their observations, perceptions, and sensations. This is crucial 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 …

Location extraction from tweets

TBN Hoang, J Mothe - Information Processing & Management, 2018 - Elsevier
Five hundred million tweets are posted daily, making Twitter a major social media platform
from which topical information on events can be extracted. These events are represented by …

[HTML][HTML] IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets

R Suwaileh, T Elsayed, M Imran - Information Processing & Management, 2023 - Elsevier
While utilizing Twitter data for crisis management is of interest to different response
authorities, a critical challenge that hinders the utilization of such data is the scarcity of …