Where did you tweet from? Inferring the origin locations of tweets based on contextual information

R Lamsal, A Harwood, MR Read - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Public conversations on Twitter comprise many pertinent topics including disasters, protests,
politics, propaganda, sports, climate change, epidemics/pandemic outbreaks, etc., that can …

Multiview deep learning for predicting twitter users' location

TH Do, DM Nguyen, E Tsiligianni, B Cornelis… - arXiv preprint arXiv …, 2017 - arxiv.org
The problem of predicting the location of users on large social networks like Twitter has
emerged from real-life applications such as social unrest detection and online marketing …

Word embeddings and deep learning for location prediction: tracking Coronavirus from British and American tweets

S Hasni, S Faiz - Social Network Analysis and Mining, 2021 - Springer
With the propagation of the Coronavirus pandemic, current trends on determining its
individual and societal impacts become increasingly important. Recent researches grant …

A unified neural network model for geolocating twitter users

M Ebrahimi, E ShafieiBavani, R Wong… - Proceedings of the …, 2018 - aclanthology.org
Locations of social media users are important to many applications such as rapid disaster
response, targeted advertisement, and news recommendation. However, many users do not …

Addressing the location A/B problem on Twitter: the next generation location inference research

R Lamsal, A Harwood, MR Read - Proceedings of the 6th ACM …, 2022 - dl.acm.org
Often, global and regional topics on Twitter across multiple thematic areas, such as
disasters, politics, protests, entertainment, epidemics, literature, travel, culture, weather, etc …

Location prediction for tweets

CY Huang, H Tong, J He, R Maciejewski - Frontiers in big Data, 2019 - frontiersin.org
Geographic information provides an important insight into many data mining and social
media systems. However, users are reluctant to provide such information due to various …

[PDF][PDF] Deep learning for geolocating social media users and detecting fake news

N Deligiannis, TD Huu, DM Nguyen, X Luo - NATO Workshop, 2018 - sto.nato.int
Social networks like Facebook and Twitter have become a great tool for connecting people,
communicating and disseminating ideas. While these platforms are obviously beneficial to …

City-level geolocation of tweets for real-time visual analytics

LS Snyder, M Karimzadeh, R Chen… - Proceedings of the 3rd …, 2019 - dl.acm.org
Real-time tweets can provide useful information on evolving events and situations.
Geotagged tweets are especially useful, as they indicate the location of origin and provide …

Comparing location-specific and location-open social media data: methodological lessons from a study of blaming of minorities on Twitter during the COVID-19 …

S Zhang, P Tsatsou, L McLaren, Y Zhu - Journal of Computational Social …, 2024 - Springer
Social media platforms such as Twitter (currently X) have become important sites of public
discourse and participation. Researchers have attempted to identify and collect Twitter data …

Multi-modal Representation Learning for Social Post Location Inference

RT Dai, J Luo, X Luo, L Mo, W Ma… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Inferring geographic locations via social posts is essential for many practical location-based
applications such as product marketing, point-of-interest recommendation, and infector …