Abstract

The hashtag, a phrase that is highlighted by preceding it with a hash symbol (#), is already 6 years old. People use it on a massive scale in social media, with two objectives: to tag (or label) conversations and content, and to identify communities. It can be used also as a rhetorical element in activism, marketing, or just for amusement. Recent research highlights its value as a predictive system and for engaging the TV audience using Twitter. Some national and academic libraries are storing and preserving hashtags for future research.

Abstract

This study proposes a pragmatic procedure of factual data analysis and retrieval of journalistic interviews and what we call “statement texts”. Journalistic documentation systems do not always offer the precision required to meet the specific demands of their end-users (journalists, historians, teachers, social scientists, general audience), as is the case with factual data. The retrieval of fact-based information is optimized by determing how users will ask for these data, simulating their pronominal searching behaviour, and then transforming those search modes into analytical categories for use by press documentalists. However, such studies should focus on a specific journalistic genre (in this case interviews and “statement texts”) because the conditions and structures of each genre or text type impose different analytical procedures and rules. Nonetheless, the resulting analogies and extrapolations should be carefully studied to improve the accuracy and relevance of the information system’s search results.

Abstract

The design and characteristics of a new open source content aggregation program, AXYZ, are described. Several features of the program standout, including the processing engine of syndication channels, monitoring capability of information recovery in real time, possibility of configuration of the aggregator behavior, automatic content classification, and new models for representing information from relational interactive maps. On the other hand, the aggregation program is designed to manage thousands of syndication channels in the RSS format. It also provides statistics that can be used to study the production of any information producer and the impact of the information published in other sources. The AXYZ modules are capable of comparing the relationship between news or information from different sources and the degree of influence which is detected by patterns.