Breaking the Silence uses machine learning methods to understand what are the contemporary taboo topics. Initially, news articles that contained the word taboo were mined from various online sources. The mined articles were originally posted from January 2019 to September 2020. These articles include overt references to contemporary taboo topics in today's press as well as the report of transgressions. Natural Language Processing (NLP) methods are then used to identify the main topic of each mined article and thus group them into sets according to similarity and relevance. Next, techniques for information extraction are used to determine the most meaningful elements of the articles' text like entities, abstract concepts, etc. Finally, new documents are generated with the utilization of automatic text summarization techniques. These generated documents summarize the main ideas and opinions for each identified taboo topic. The images shown in all articles were generated with Runaway Generative Engine by randomly selecting sentences from each article. Breaking the Silence aims to highlight and bring to focus what topics are currently discussed as taboos. The generated summarizations underline the different topics discussed at different times and additionally the arguments for the creation, maintenance, or destruction of a taboo. Visit the Breaking the Silence website.

A methodology for constructing a network that maps the structure of the artworld is proposed. It is based on mining Twitter in an attempt to identify the artworld actors (artists, museums, galleries, curators, etc.) as they exist online and discover connections amongst them. The ability to obtain a map the artworld from social media data is regarded as the first essential step for further exploring how Artificial Intelligence techniques can elaborate on the understanding of the artworld.