The algorithmic society
M Schuilenburg, R Peeters - London‒New York, 2021 - api.taylorfrancis.com
Contemporary social scientific scholarship is being transformed by the challenges
associated with the changing nature of, and responses to, questions of crime, security and …
associated with the changing nature of, and responses to, questions of crime, security and …
[HTML][HTML] Assessing open science and citizen science in addictions and substance use research: A scoping review
Abstract Background The EU promotes 'Open Science'as a public good. Complementary to
its implementation is Citizen Science, which redefines the relationship between the scientific …
its implementation is Citizen Science, which redefines the relationship between the scientific …
Assessing behavior stage progression from social media data
Important work rooted in psychological theory posits that health behavior change occurs
through a series of discrete stages. Our work builds on the field of social computing by …
through a series of discrete stages. Our work builds on the field of social computing by …
Governing by algorithms and algorithmic governmentality: Towards machinic judgement
P Henman - The Algorithmic Society, 2020 - taylorfrancis.com
We are governed by digital algorithms in multifarious ways. Yet, despite this diversity, this
chapter argues that there is a shared discernible mode of governing enacted by digital …
chapter argues that there is a shared discernible mode of governing enacted by digital …
An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning
Drug abuse continues to accelerate towards becoming the most severe public health
problem in the United States. The ability to detect drug-abuse risk behavior at a population …
problem in the United States. The ability to detect drug-abuse risk behavior at a population …
High-resolution temporal representations of alcohol and tobacco behaviors from social media data
Understanding tobacco-and alcohol-related behavioral patterns is critical for uncovering risk
factors and potentially designing targeted social computing intervention systems. Given that …
factors and potentially designing targeted social computing intervention systems. Given that …
Deep self-taught learning for detecting drug abuse risk behavior in tweets
Drug abuse continues to accelerate toward becoming the most severe public health problem
in the United States. The ability to detect drug abuse risk behavior at a population scale …
in the United States. The ability to detect drug abuse risk behavior at a population scale …
Where has this tweet come from? fast and fine-grained geolocalization of non-geotagged tweets
P Paraskevopoulos, T Palpanas - Social Network Analysis and Mining, 2016 - Springer
The rise in the use of social networks in the recent years has resulted in an abundance of
information on different aspects of everyday social activities that is available online, with the …
information on different aspects of everyday social activities that is available online, with the …
Drink2Vec: Improving the classification of alcohol-related tweets using distributional semantics and external contextual enrichment
The hazardous and harmful use of alcohol has become a public health issue worldwide.
Social media has emerged as a reliable source to extract information on alcohol …
Social media has emerged as a reliable source to extract information on alcohol …
[PDF][PDF] Bias and beyond in digital trace data.
MM Malik - 2018 - reports-archive.adm.cs.cmu.edu
In the introduction, I lay out all my thoughts about the way I see data and modeling being
framed. I go into detail about all the facets of modeling and of data that I see as relevant to …
framed. I go into detail about all the facets of modeling and of data that I see as relevant to …