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Associating geo-coordinates with the content of social media posts can enhance many existing applications and services and enable a host of new ones. Unfortunately, a majority of social media posts are not tagged with geo-coordinates. Even…

信息检索 · 计算机科学 2014-10-20 Derek Doran , Swapna Gokhale , Aldo Dagnino

The geolocation of online information is an essential component in any geospatial application. While most of the previous work on geolocation has focused on Twitter, in this paper we quantify and compare the performance of text-based…

计算与语言 · 计算机科学 2018-11-20 Konstantinos Pappas , Mahmoud Azab , Rada Mihalcea

Geolocating Twitter users---the task of identifying their home locations---serves a wide range of community and business applications such as managing natural crises, journalism, and public health. Many approaches have been proposed for…

社会与信息网络 · 计算机科学 2019-07-31 Ahmed Mourad , Falk Scholer , Walid Magdy , Mark Sanderson

In the widely used message platform Twitter, about 2% of the tweets contains the geographical location through exact GPS coordinates (latitude and longitude). Knowing the location of a tweet is useful for many data analytics questions. This…

社会与信息网络 · 计算机科学 2015-08-12 Han van der Veen , Djoerd Hiemstra , Tijs van den Broek , Michel Ehrenhard , Ariana Need

Locations, e.g., 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 mentioned in documents has been explored for…

社会与信息网络 · 计算机科学 2018-07-17 Xin Zheng , Jialong Han , Aixin Sun

In many Twitter studies, it is important to know where a tweet came from in order to use the tweet content to study regional user behavior. However, researchers using Twitter to understand user behavior often lack sufficient geo-tagged…

社会与信息网络 · 计算机科学 2017-11-21 Binxuan Huang , Kathleen M. Carley

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 geographic context. However, only a small portion of tweets are…

社会与信息网络 · 计算机科学 2019-10-08 Luke S. Snyder , Morteza Karimzadeh , Ray Chen , David S. Ebert

The increasing prevalence of location-sharing features on social media has enabled researchers to ground computational social science research using geolocated data, affording opportunities to study human mobility, the impact of real-world…

社会与信息网络 · 计算机科学 2023-02-15 Julie Jiang , Jesse Thomason , Francesco Barbieri , Emilio Ferrara

The explosion in the availability of natural language data in the era of social media has given rise to a host of applications such as sentiment analysis and opinion mining. Simultaneously, the growing availability of precise geolocation…

计算与语言 · 计算机科学 2021-08-03 Olga Kellert , Nicholas H. Matlis

Geographically annotated social media is extremely valuable for modern information retrieval. However, when researchers can only access publicly-visible data, one quickly finds that social media users rarely publish location information. In…

社会与信息网络 · 计算机科学 2015-03-05 Ryan Compton , David Jurgens , David Allen

Twitter is a useful resource to analyze peoples' opinions on various topics. Often these topics are correlated or associated with locations from where these Tweet posts are made. For example, restaurant owners may need to know where their…

机器学习 · 计算机科学 2021-06-28 Florina Dutt , Subhajit Das

Data on human spatial distribution and movement is essential for understanding and analyzing social systems. However existing sources for this data are lacking in various ways; difficult to access, biased, have poor geographical or temporal…

社会与信息网络 · 计算机科学 2016-06-22 Mark Dredze , Manuel García-Herranz , Alex Rutherford , Gideon Mann

In the advent of a pervasive presence of location sharing services researchers gained an unprecedented access to the direct records of human activity in space and time. This paper analyses geo-located Twitter messages in order to uncover…

社会与信息网络 · 计算机科学 2014-03-03 Bartosz Hawelka , Izabela Sitko , Euro Beinat , Stanislav Sobolevsky , Pavlos Kazakopoulos , Carlo Ratti

The emergence of large stores of transactional data generated by increasing use of digital devices presents a huge opportunity for policymakers to improve their knowledge of the local environment and thus make more informed and better…

计算机与社会 · 计算机科学 2017-10-27 Graham McNeill , Jonathan Bright , Scott A. Hale

The increasing popularity of the social networking service, Twitter, has made it more involved in day-to-day communications, strengthening social relationships and information dissemination. Conversations on Twitter are now being explored…

社会与信息网络 · 计算机科学 2017-01-16 Oluwaseun Ajao , Jun Hong , Weiru Liu

This research is aimed to solve the tweet/user geolocation prediction task and provide a flexible methodology for the geotagging of textual big data. The suggested approach implements neural networks for natural language processing (NLP) to…

计算与语言 · 计算机科学 2025-01-13 Kateryna Lutsai , Christoph H. Lampert

The movements of ideas and content between locations and languages are unquestionably crucial concerns to researchers of the information age, and Twitter has emerged as a central, global platform on which hundreds of millions of people…

计算机与社会 · 计算机科学 2014-08-19 Mark Graham , Scott A. Hale , Devin Gaffney

The tremendous popularity gained by Online Social Networks (OSNs) raises natural concerns about user privacy in social media platforms. Though users in OSNs can tune their privacy by deliberately deciding what to share, the interaction with…

社会与信息网络 · 计算机科学 2019-03-28 Luca Luceri , Davide Andreoletti , Silvia Giordano

Twitter is often used in quantitative studies that identify geographically-preferred topics, writing styles, and entities. These studies rely on either GPS coordinates attached to individual messages, or on the user-supplied location field…

计算与语言 · 计算机科学 2015-08-25 Umashanthi Pavalanathan , Jacob Eisenstein

Previous studies have shown that Twitter users have biases to tweet from certain locations, locational bias, and during certain hours, temporal bias. We used three years of geolocated Twitter Data to quantify these biases and test our…

社会与信息网络 · 计算机科学 2016-09-15 Aiman Soliman , Kiumars Soltani , Anand Padmanabhan , Shaowen Wang
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