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Inside the bright-white walls of his office, in one of Los Angeles’s poorest neighborhoods, Hamid Khan is a calming presence. Khan, 62 years old, is the founding organizer of the […]
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Organizations often employ data-driven models to inform decisions that can have a significant impact on people’s lives (e.g., university admissions, hiring). In order to protect people’s privacy and prevent discrimination, […]
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The way humans and robots interact is no longer in the realm of fiction, because robots have seemingly gained the ability to respond to others, including humans. Communication research can […]
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Increasing evidence suggests that a growing amount of social media content is generated by autonomous entities known as social bots. In this work we present a framework to detect such […]
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Over the last several years political actors worldwide have begun harnessing the digital power of social bots — software programs designed to mimic human social media users on platforms like […]
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Online social networks have become an effective and important social platform for communication, opinions exchange, and information sharing. However, they also make it possible for rapid and wide misinformation diffusion, […]
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This paper empirically analyzes bot activity in contentious Twitter conversations using case studies from the Asia-Pacific. Bot activity is measured and characterized using a series of interoperable tools leveraging dynamic […]
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Social bots can affect online communication among humans. We study this phenomenon by focusing on #YaMeCanse, the most active protest hashtag in the history of Twitter in Mexico. Accounts using […]
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This work proposes an unsupervised method intended to enhance the quality of opinion mining in contentious text. It presents a Joint Topic Viewpoint (JTV) probabilistic model to analyse the underlying […]
