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Showing 1 to 13 of 13 for “"Social Media Analytics"”.
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Social media analytics in business intelligence applications
Social media is becoming increasingly important in society and culture, empowering consumers to group together on common interests and share opinions through the Internet. The social web shifts the originators of content from companies to users. Differences caused by this dynamic result in existing …
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Towards Secure and Trustworthy Cyberspace: Social Media Analytics on Hacker Communities
Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market …
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Consumer-Centric Innovation for Mobile Apps Empowered by Social Media Analytics
… technologies (ICTs), an increasing number of social media platforms exist where consumers can exchange comments online about products and services that businesses offer. The existing literature has demonstrated that online user-generated content can significantly influence consumer behavior …
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Automated Vocabulary Building for Characterizing and Forecasting Elections using Social Media Analytics
Twitter has become a popular data source in the recent decade and garnered a significant amount of attention as a surrogate data source for many important forecasting problems. Strong correlations have been observed between Twitter indicators and real-world trends spanning elections, stock markets, …
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Social media analytics with applications in disaster management and COVID-19 events
"Social media such as Twitter offers a tremendous amount of data throughout an event or a disastrous situation. Leveraging social media data during a disaster is beneficial for effective and efficient disaster management. Information extraction, trend identification, and determining public …
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Analyzing the boundaries of balance theory in evaluating cause-related marketing compatibility
… both via a survey-based approach, as well as a social media analytics approach. My contributions to CRM and balance theory are as follows: I found that a consumer’s attitude towards a brand, along with their attitude towards a cause, predicts their perceptions of CRM compatibility. I also show …
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Data-Driven Park Planning: Comparative Study of Survey with Social Media Data
… and perceptions of linear parks, (2) to identify social media users’ behaviors in and perceptions of linear parks, and (3) to compare small data with big data. This chapter discusses the main findings and their implications for practitioners such as landscape architects and urban planners. It has …
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Three Essays on Contextual Effects in Traveler's Use of Online Reviews
… searching for a restaurant that can be visited immediately) compared with the non-local context (e.g., searching for a restaurant that can be visited in a month), is examined by conducting an experiment. Building on Study 2, Study 3 investigates how tourists' processing of online reviews is …
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Computational Framing Analysis: Proposing And Applying an Unsupervised Entity-Centric Semantic Relations Approach
… computational approach to analyze how the news media construct frames around certain people or groups in their coverage. The approach centers on entity-centric emphasis frames, focusing on the language used to attribute key entities (e.g., shooters and victims in mass shooting incidents). The …
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The digital reflection: Expressions of individual differences on Twitter
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Augmenting Dynamic Query Expansion in Microblog Texts
… query input. With the explosive growth of online media, such tools are essential for efficient search result refining to track emerging themes in noisy, unstructured text streams. It's crucial for large-scale predictive analytics and decision-making, systems which use open source indicators to …
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Integrated Predictive Modeling and Analytics for Crisis Management
… in the application of big data and predictive analytics in fields of crisis management, such as pandemics and epidemics, highlights the vital need for advanced research in these areas, particularly in the wake of the COVID-19 pandemic. Traditional methods, which typically rely on historical …