The effect of extremist violence on hateful speech online

A Olteanu, C Castillo, J Boy, K Varshney - Proceedings of the …, 2018 - ojs.aaai.org
User-generated content online is shaped by many factors, including endogenous elements
such as platform affordances and norms, as well as exogenous elements, in particular …

[HTML][HTML] Mining large-scale human mobility data for long-term crime prediction

C Kadar, I Pletikosa - EPJ Data Science, 2018 - epjdatascience.springeropen.com
Traditional crime prediction models based on census data are limited, as they fail to capture
the complexity and dynamics of human activity. With the rise of ubiquitous computing, there …

State of the geotags: Motivations and recent changes

D Tasse, Z Liu, A Sciuto, J Hong - … AAAI Conference on Web and Social …, 2017 - ojs.aaai.org
The widespread adoption of smartphones has made it possible for large numbers of people
to geotag their social media posts. Past work has studied the reasons people tag their …

Where is the goldmine? Finding promising business locations through Facebook data analytics

J Lin, R Oentaryo, EP Lim, C Vu, A Vu… - Proceedings of the 27th …, 2016 - dl.acm.org
If you were to open your own cafe, would you not want to effortlessly identify the most
suitable location to set up your shop? Choosing an optimal physical location is a critical …

Predicting commercial activeness over urban big data

S Yang, M Wang, W Wang, Y Sun, J Gao… - Proceedings of the …, 2017 - dl.acm.org
This study aims at revealing how commercial hotness of urban commercial districts (UCDs)
is shaped by social contexts of surrounding areas so as to render predictive business …

Harnessing the power of the general public for crowdsourced business intelligence: a survey

B Guo, Y Liu, Y Ouyang, VW Zheng, D Zhang… - IEEE Access, 2019 - ieeexplore.ieee.org
Crowdsourced business intelligence (CrowdBI), which leverages the crowdsourced user-
generated data to extract useful knowledge about business and create marketing …

Leveraging mobility flows from location technology platforms to test crime pattern theory in large cities

C Kadar, S Feuerriegel, A Noulas… - Proceedings of the …, 2020 - ojs.aaai.org
Crime has been previously explained by social characteristics of the residential population
and, as stipulated by crime pattern theory, might also be linked to human movements of non …

Where is safe: Analyzing the relationship between the area and emotion using Twitter data

S Kitaoka, T Hasuike - 2017 IEEE Symposium Series on …, 2017 - ieeexplore.ieee.org
Understanding the geographic and environmental factors that affect local criminal activity is
important for crime prevention. In this study, we use data from Geo-Twitter to analyze the …

Multi-view commercial hotness prediction using context-aware neural network ensemble

Z He, S Yang - Proceedings of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
Prediction over heterogeneous data attracts much attention in urban computing. Recently,
satellite imagery provides a new chance for urban perception but raises the problem of how …

On exploring feature representation learning of items to forecast their rise and fall in social media

CT Li, HY Chen, Y Zhang - Journal of Intelligent Information Systems, 2021 - Springer
User-item interactions in social media provide a rich dataset for wide applications such as
viral marketing and recommender systems. Post retweeting behaviors and venue check-in …