How does the world connect? Exploring the global diffusion of social network sites

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture. New data sources, such as social media, digitized cultural content, and Internet of Things (IoT) devices, have allowed us to enrich and customize the cultural experience, but at the same time have created an avalanche of new data that needs to be stored and appropriately managed in order to be of value. Although data management plays a central role in driving forward the cultural heritage domain, the solutions applied so far are fragmented, physically distributed, require specialized IT knowledge to deploy, and entail significant IT experience to operate even for trivial tasks. In this work, we present Hydria, an online data lake that allows users without any IT background to harvest, store, organize, analyze and share heterogeneous, multi-faceted cultural heritage data. Hydria provides a zero-administration, zero-cost, integrated framework that enables researchers, museum curators and other stakeholders within the cultural heritage domain to easily (i) deploy data acquisition services (like social media scrapers, focused web crawlers, dataset imports, questionnaire forms), (ii) design and manage versatile customizable data stores, (iii) share whole datasets or horizontal/vertical data shards with other stakeholders, (iv) search, filter and analyze data via an expressive yet simple-to-use graphical query engine and visualization tools, and (v) perform user management and access control operations on the stored data. To the best of our knowledge, this is the first solution in the literature that focuses on collecting, managing, analyzing, and sharing diverse, multi-faceted data in the cultural heritage domain and targets users without an IT background.

A Survey on Troll Detection

A troll is usually defined as somebody who provokes and offends people to make them angry, who wants to dominate any discussion or who tries to manipulate people’s opinions. The problems caused by such persons have increased with the diffusion of social media. Therefore, on the one hand, press bodies and magazines have begun to address the issue and to write articles about the phenomenon and its related problems while, on the other hand, universities and research centres have begun to study the features characterizing trolls and to look for solutions for their identification. This survey aims at introducing the main researches dedicated to the description of trolls and to the study and experimentation of methods for their detection.

Explaining the emergence of hedonic motivations in enterprise social networks and their impact on sustainable user engagement

Purpose

Enterprise social networks (ESNs) in organizations have become an increasingly important technology to support the exchange of information and knowledge. Many ESN projects fail due to insufficient engagement in the long run, leading to the high risk of sunk costs. The purpose of this paper is to investigate how hedonic motivations, along with normative motivations, play an important role in determining an employee’s intention to continuously participate in ESN. Based on the Four-Drive Model and hence borrowing from behavioral economics, it is investigated how such hedonic motivations emerge in organizational ESNs.

Design/methodology/approach

This study is set within the context of a global enterprise of the logistics and courier industry. The authors first derived hypotheses from the Four-Drive Model to build the research model on the emergence of hedonic motivation. Then, the authors derived hypotheses from existing adoption literature regarding the impact of hedonic motivations and normative motivations on ESN use continuance. Following, a quantitative survey was conducted to test these hypotheses. In the study, structural equation modeling is applied, based on partial least squares.

Findings

The results show that the extent to which an ESN supports the drives to comprehend, acquire, bond and defend starkly influences an employee’s hedonic motivations. In addition, it is shown that hedonic motivations have a much stronger influence on use continuance than normative motivations.

Originality/value

Research on hedonic motivations in the work context is still underrepresented, in management science as well as information systems (IS) research. Hence, theoretical approaches to explain and predict the emergence of hedonic motivations in IS usage are missing. With the study, the authors will close this theoretical gap. The study contributes to IS research not only by evaluating the role of hedonic motivation for ESN usage, but also by providing an approach to explain key drivers behind it. To the best of the authors’ knowledge, this is the first study to empirically test the Four-Drive Model in a voluntary IS context, adding valuable knowledge about human behaviors in digital work environments.