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We identify four structural differences between online (versus offline) interaction: (1) fewer nonverbal cues, (2) greater anonymity, (3) more opportunity to.
We argue that social bots help users to reveal, exploit and change aspects of digital systems that otherwise go unquestioned.
Several scholars have contended that Internet communication is an impoverished and sterile form of social exchange compared to traditional face-to-face ...
Instead, we observe that defending against malicious socialbots involves solving challenges related to web automation, online-offline identity binding and ...
Many social mechanisms are important and useful in information access, and social interaction provides an enjoyable and community-building function. This paper ...
The popularity of social media platforms such as Twitter has led to the proliferation of automated bots, creating both opportu- nities and challenges in ...
This paper presents a detailed survey of social bots, their types and behaviors, how they impact social media, identification algorithms and ...
Social bots play vital roles in society; they can also be altered to perform a wide range of malicious activities targeting business enterprises, government ...
Nowadays, millions of people use Online Social Networks (OSNs) like Twitter, Facebook and Sina. Microblog, to express opinions on current events.
This article introduces a category of online social behavior features (OSBF), derived from microblog behaviors such as emotional expression, ...
At the core of the research project, the social bot automatically generated comments on users' posts in public threads on the platform.
