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“All you need to do is say,” a recent article proclaimed, “‘I want a beer’ and Alexa will oblige. The future is now.” Advances in technology have seemingly increased our […]
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Self-communication platforms have generated a myriad of outlets and news producers that represent a challenge for modern societies. Therefore, it is relevant to explore new measurements that can help understand […]
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Social research has benefitted from big data and the evaluation community is embracing thinking and approaches that extract value from big data. This article describes how Twitter data was used […]
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Machines are increasingly aiding or replacing humans in journalistic work, primarily in news distribution. We examined whether news recommendation engines contribute to filter bubbles and fragmented news audiences by asking […]
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Prevalent usage of social media attracted companies and researchers to analyze its dynamics and effects on user behavior. One of the most intriguing aspects of social networks is to identify […]
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User behaviors in online social networks convey not only literal information but also one’s emotional attitudes towards the information. To compute this attitude, we define the concept of emotion role […]
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Influence maximization is the problem of finding influential users, or nodes, in a graph so as to maximize the spread of information. It has many applications in advertising and marketing […]
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This article formulates a five-point agenda for audience research, drawing on implications arising out of a systematic foresight analysis exercise on the field of audience research, conducted between 2014 and […]
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The social influence maximization problem is an important research topic for many years since it has a tremendous impact on society. As social influence can be maximized for many purposes, […]
