Capturing public voices: The role of social media in heritage management

Social media platforms have been increasingly used by locals and tourists to express their opinions about buildings, cities, and built heritage in particular. Most recently, scholars have been using social media to conduct innovative research on built heritage and heritage management. Still, the application of artificial intelligence (AI)...

Sentiment overflow in the testing stack: Analyzing software testing posts on Stack Overflow

Software testing is an integral part of modern software engineering practice. Past research has not only underlined its significance, but also revealed its multi-faceted nature. The practice of software testing and its adoption is influenced by many factors that go beyond tools or technology. This paper sets out to investigate the context of...

Mapping Demonstrations of a Sustainability Policy Crisis: Online and Offline Events during the Dutch Nitrogen Crisis

in this research, I study the Nitrogen Crisis by comparing Twitter content to real-life events, answering the following research question: How does the intensity of emotions and discussed topics on social media relate to the characteristics of real-life demonstrations during a sustainability policy crisis? To characterise online events,...

Peoples’ values and feelings matter: Participatory heritage management using social media

Social media has been increasingly used by various communities to express their opinions, values, and feelings about cities and, in particular, built heritage. Social media platforms, interactive technologies used by virtual communities and networks became an important source for recent innovative studies on participatory heritage management....

Quantifying changes in societal optimism from online sentiment

Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants to generalize about their future. Here, we address these limitations by developing the optimism...

Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence

In today's digital world, customers give their opinions on a product that they have purchased online in the form of reviews. The industry is interested in these reviews, and wants to know about which topics their clients write, such that the producers can improve products on specific aspects. Topic models can extract the main topics from large...