-
Problems of bias and fairness are central to data justice, as they speak directly to the threat that ‘big data’ and algorithmic decision-making may worsen already existing injustices. In the […]
-
Misleading information is nothing new, yet its impacts seem only to grow. We investigate this phenomenon in the context of social bots. Social bots are software agents that mimic hu- […]
-
With more than 71% of internet users using Online Social Media (OSM), it has become an important platform for people to share ideas, information and various forms of expressions. However, […]
-
Self-injurious behavior is often practiced in secrecy or involves body parts that are easy to hide, making early detection difficult and hampering intervention and treatment. However, cutting, one of the […]
-
Worldwide, people profit from equally accessible online health information via search engines. Therefore, equal access to health information is a global imperative. We studied one specific scenario, in which Google […]
-
Due to the growth and popularity of Twitter, automated programs that can tweet are increasingly developed and employed. In line with the Computers Are Social Actors (CASA) paradigm (Reeves & […]
-
Twitter is a new web application playing dual roles of online social networking and micro-blogging. Users communicate with each other by publishing text-based posts. The popularity and open structure of […]
-
Recent studies in social media spam and automation provide anecdotal argumentation of the rise of a new generation of spambots, so-called social spambots. Here, for the first time, we extensively […]
-
A novel, simple, and effective approach to modeling online user behavior extracts and analyzes digital DNA sequences from user online actions and uses Twitter as a benchmark to test the […]
-
Purpose With the outset of automatic detection of information, misinformation, and disinformation, the purpose of this paper is to examine and discuss various conceptions of information, misinformation, and disinformation within […]
