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This paper tests whether accurate sales forecasts for Nike are possible from Facebook data and how events related to Nike affect the activity on Nike's Facebook pages. The paper draws from the AIDA sales framework (Awareness, Interest, Desire, and Action) from the domain of marketing and employs the method of social set analysis from the domain of computational social science to model sales from Big...
This paper examines the changes in consumer behaviour and opinions due to the transition from a public to a commercial broadcaster in the context of broadcasting international media events. By analyzing TV viewer ratings, Facebook activity and its sentiment, we aim to provide answers to how the transition from airing Winter Olympic Games on NRK to TV2 in Norway affected consumer behaviour and opinion...
The aim of the explorative study is to understand the role of crowdfunding in the development of the fanbase using data from two recent cases of competing business ecosystems. We conducted an event study that employed social set analysis (SSA) of Facebook data to uncover and better understand the users' interactions and brand associations before, during and after a crowdfunding campaign event. Key...
Social media crises pose significant challenges for organizations in terms of their rapid propagation and deterioration of brand parameters and can have sustained negative business impacts. This paper reports a multiple case study of four different corporate social media crises. The multiple case study was informed by crisis communication and management theories and employed multiple methods consisting...
This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are...
Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational...
Recent research in the field of computational social science have shown how data resulting from the widespread adoption and use of social media channels such as twitter can be used to predict outcomes such as movie revenues, election winners, localized moods, and epidemic outbreaks. Underlying assumptions for this research stream on predictive analytics are that social media actions such as tweeting,...
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