Sharing lessons learned from PAYBACK’s early Data Mesh journey: where to start (tech, data, teams), how to build ownership without overhead, preventing fragmentation, and migrating from legacy warehouses to data products.

A practical discussion on PAYBACK’s Data Mesh journey, moving beyond theoretical concepts to real-world implementation challenges and successes in a large-scale transformation.

By developing a theoretical model of collective gatekeeping and supported by the empirical study of political video clips on YouTube, the author describes the production of public attention in social media and shows fundamental differences to traditional mass media. He shows that publicity in social media is a continuous struggle for attention, which leads to its strong unequal distribution and contradicts the ideal of democratization of political communication in and through social media.

This article provides a review of scientific, peer-reviewed articles that examine the relationship between news sharing and social media in the period from 2004 to 2014. A total of 461 articles were obtained following a literature search in two databases (Communication & Mass Media Complete [CMMC] and ACM), out of which 109 were deemed relevant based on the study’s inclusion criteria. In order to identify general tendencies and to uncover nuanced findings, news sharing research was analyzed both quantitatively and qualitatively. Three central areas of research—news sharing users, content, and networks—were identified and systematically reviewed. In the central concluding section, the results of the review are used to provide a critical diagnosis of current research and suggestions on how to move forward in news sharing research.

The Internet in general, and social network sites in particular, provide great potential for communicating health issues. Different forms of online social information, such as user comments and likes, might foster the effectiveness of these communication channels. However, it is unclear whether these types of information affect people’s perceptions and judgments of health issues. Combining exemplification theory with research into online social information, we conducted a 2 × 3 × 2 experiment to address this question. We presented our participants (N = 577) with a discussion of influenza vaccination on mock-up of a Facebook page and varied the direct social information (user comments) and additional indirect social information (comment likes and post likes) given, to assess the impact on individuals’ perceptions of public behavior and risk, and on their personal attitudes and behavioral intentions. Our results showed that the participants relied on direct but not indirect social information when forming judgments.

Categorization and evaluation of different types of automated content-anlysis methodologies (NLP) and their applications within the social sciences.