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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 […]
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Computational propaganda and the use of automated accounts in social media have recently become the focus of public attention, with alleged Russian government activities abroad provoking particularly widespread interest. However, […]
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Automated and semiautomated Twitter accounts, bots, have recently gained significant public attention due to their potential interference in the political realm. In this study, we develop a methodology for detecting […]
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Various strands of literature on civic engagement, ‘big data’ and open government view digital technologies as the key to easier government accountability and citizens’ empowerment, and the solution to many […]
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How should an organized response to disinformation proceed in a 21st century democratic society? At the highest level, what strategies are available? This paper attempts to answer these questions by […]
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Combatting the intentional injection of misinformation is an ongoing battle at the forefront of modern social media. Misinformation can be difficult for even human reviewers to detect and the costs […]
