[HTML][HTML] Social media data for conservation science: A methodological overview
Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …
practice, but collecting relevant data remains challenging. Recently, social media have …
Social data: Biases, methodological pitfalls, and ethical boundaries
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 …
between people, and behavioral traces—are at the core of popular applications and …
The impact of COVID-19 epidemic declaration on psychological consequences: a study on active Weibo users
COVID-19 (Corona Virus Disease 2019) has significantly resulted in a large number of
psychological consequences. The aim of this study is to explore the impacts of COVID-19 on …
psychological consequences. The aim of this study is to explore the impacts of COVID-19 on …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
[PDF][PDF] Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective
Abstract Recent advances in Natural Language Processing and Machine Learning provide
us with the tools to build predictive models that can be used to unveil patterns driving judicial …
us with the tools to build predictive models that can be used to unveil patterns driving judicial …
[PDF][PDF] The social impact of natural language processing
Medical sciences have long since established an ethics code for experiments, to minimize
the risk of harm to subjects. Natural language processing (NLP) used to involve mostly …
the risk of harm to subjects. Natural language processing (NLP) used to involve mostly …
Beyond binary labels: political ideology prediction of twitter users
Automatic political orientation prediction from social media posts has to date proven
successful only in distinguishing between publicly declared liberals and conservatives in the …
successful only in distinguishing between publicly declared liberals and conservatives in the …
Analyzing personality through social media profile picture choice
The content of images users post to their social media is driven in part by personality. In this
study, we analyze how Twitter profile images vary with the personality of the users posting …
study, we analyze how Twitter profile images vary with the personality of the users posting …
Computational sociolinguistics: A survey
Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …
Recently, there has been a surge of interest within the computational linguistics (CL) …
Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination
Background The current development of vaccines for severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) is unprecedented. Little is known, however, about the nuanced …
coronavirus 2 (SARS-CoV-2) is unprecedented. Little is known, however, about the nuanced …